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    Ruchira Naskar

    About


    • Ruchira Naskar, Ph.D. (IIT Kharagpur)
    • Associate Professor, Dept. of Information Technology
    • Associate Dean, Academic (PG & PhD)
    • IIEST Shibpur
    • Formerly an Assistant Professor at NIT Rourkela (Dept. of Computer Science and Engineering) [Feb 2014 to May 2019]
    •  
    • Domains of Research: Multimedia Security, Digital Forensics, Machine Learning based Forensics
    •  
    • Personal Webpage: Click here
    • Books Authored: Click here
    • Email Id: ruchira@it.iiests.ac.in, ruchira.naskar@gmail.com
    • Skype Id: ruchira.naskar

    Academic Qualifications


    • Ph.D. in Computer Science and Engineering (2014) 
    • Indian Institute of Technology, Kharagpur 
    • Ph.D. Thesis Title: ”Reversible Watermarking of Digital Images: Algorithms and Implementation” 
    • Ph.D. Thesis Supervisor: Prof. Rajat Subhra Chakraborty, IIT Kharagpur 
    •  
    • M.Tech in Information Technology (2010)
    • Indian Institute of Technology, Kharagpur 
    • M.Tech. Thesis Title: ”Hierarchical Secret Sharing and Proactive Renewal of Shares” 
    • M.Tech. Thesis Supervisor: Prof. Indranil Sengupta, IIT Kharagpur
    • CGPA: 9.40
    •  
    • B.Tech in Information Technology (2008)
    • West Bengal University of Technology 
    • CGPA: 8.34
    •  
    • GATE (2008)
    • All India Rank (AIR) 11
    • Percentile: 99.79

    Research Statement


    My primary research interest is in Multimedia Forensics where we apply Machine Learning and Deep Learning tools to solve forensic problems.

    The problems that we are investigating currently are:

    • Robust deepfake detection though human physiology and machine intelligence
    • GANs and diffusion models generated hyper-realistic media synthesis and detection
    • Cultural / demographic bias in synthetic media 

     

    To know more about my research, follow my personal website here.

    My Google Scholar profile is linked here.

    I have funded internships available in my research group in the area of media forensics and deepfakes. Interested candidates can write to me with detailed CV to ruchira[at]it.iiests.ac.in. 

    Eligibility: Pursuing B.Tech in 2nd/3rd/4th year in CSE/IT/ECE/EE or allied disciplines at a reputed institute in India (preferably an institute of national importance).

    Latest Publications


  • 1 To view recent updates, visit, sites.google.com/site/ruchiranaskar/research, --, 2020
  • 2 To view recent updates, visit, sites.google.com/site/ruchiranaskar/research, --, 2020
  • 3 B. N. Sarkar, S. Barman and R. Naskar, Blind Source Camera Identification of Online Social Network Images Using Adaptive Thresholding Technique, International Conference on Frontiers in Computing and Systems (COMSYS), Jalpaiguri, India, 2020., 2020
  • 4 J. B. Sarkar and R. Naskar, A Curve Fitting Thresholding Approach for Forensic Source Identification of JPEG Compressed Images, 7th IEEE International Conference on Computing for Sustainable Global Development (INDIACom), pp. 22-28, New Delhi, India, 2020., 2020
  • 5 V. U. Sameer and R. Naskar, Deep Siamese Network for Limited Labels Classification in Source Camera Identification, Multimedia Tools and Applications, Springer, doi: 10.1007/s11042-020-09106-y. (Accepted, May, 2020), 2020
  • 6 J. Bakas, S. Ramachandra and R. Naskar, Double and triple compression based forgery detection in JPEG images using deep convolutional neural network, SPIE Journal of Electronic Imaging, vol. 29, no. 2, 023006, 2020. doi: 10.1117/1.JEI.29.2.023006, 2020
  • 7 A. Panda, R. Naskar and S. Pal, An Image Texture Descriptor based Machine Learning Framework for Prediction of Thermo-Mechanic Heat Treatment Process in Plain Carbon Steel, 11th International Symposium on Image and Signal Processing and Analysis (ISPA), Dubrovnik, Croatia, 2019, 2019
  • 8 S. Roy, A. Panda and R. Naskar, Unsupervised Ground Truth Generation for Automated Brain EM Image Segmentation, IEEE International Conference on Signal Processing & Integrated Networks (SPIN), 2019, Noida, India, 2019
  • 9 V. Adabala and R. Naskar, Hand Gesture Recognition Using Convolutional Neural Network, IEEE International Conference on Wireless Communications, Signal Processing and Networking, (WiSPNET), 2019, Tamil Nadu, India, 2019
  • 10 S. Roy, A. Panda and R. Naskar, An Automated Ensembled Deep Neural Network Approach towards Accurate Segmentation of Biomedical Images, IEEE International Conference on Wireless Communications, Signal Processing and Networking, (WiSPNET), 2019, Tamil Nadu, India., 2019
    • View More

    Research Areas


    • Multimedia Security
    • Digital Forensics
    • Machine Learning

    Publications


    1 To view recent updates, visit, sites.google.com/site/ruchiranaskar/research, --, 2020
  • 2 V. U. Sameer and R. Naskar, Deep Siamese Network for Limited Labels Classification in Source Camera Identification, Multimedia Tools and Applications, Springer, doi: 10.1007/s11042-020-09106-y. (Accepted, May, 2020), 2020
  • 3 J. Bakas, S. Ramachandra and R. Naskar, Double and triple compression based forgery detection in JPEG images using deep convolutional neural network, SPIE Journal of Electronic Imaging, vol. 29, no. 2, 023006, 2020. doi: 10.1117/1.JEI.29.2.023006, 2020
  • 4 A. Panda, R. Naskar and S. Pal, An Image Texture Descriptor based Machine Learning Framework for Prediction of Thermo-Mechanic Heat Treatment Process in Plain Carbon Steel, 11th International Symposium on Image and Signal Processing and Analysis (ISPA), Dubrovnik, Croatia, 2019., 2019
  • 5 D. B. Tariang, R. S. Chakraborty and R. Naskar, A Robust Residual Dense Neural Network for Countering Anti-Forensic Attack on Median Filtered Images, IEEE Signal Processing Letters, vol. 26, no. 8, pp. 1132-1136, 2019
  • 6 A. Panda, R. Naskar and S. Pal, A Deep Learning Approach for Segmentation of Plain Carbon Steel Microstructure Images, IET Image Processing, vol. 13, no. 9, pp. 1516 - 1524, 2019. doi: 10.1049/iet-ipr.2019.0404, 2019
  • 7 A. Choudhury, R. Naskar, A.B. Mallick and S. Pal, Computer Vision Approach for Phase Identification from Steel Microstructure, Engineering Computations, Emerald Insight, vol. 36, no. 6, pp. 1913-1933, 2019. doi:10.1108/EC-11-2018-0498, 2019
  • 8 R. Dixit and R. Naskar, Region Duplication Detection in Digital Images based on Centroid Linkage Clustering of Key-points and Graph Similarity Matching, Multimedia Tools and Applications, Springer, vol. 78, no. 10, pp. 13819-13840, 2019, doi: 10.1007/s11042-018-6666-1, 2019
  • 9 A. Panda, R. Naskar and S. Pal, Exponential linear unit dilated residual network for digital image denoising, SPIE Journal of Electronic Imaging, vol. 27 no. 5, 053024, 2018. doi: 10.1117/1.JEI.27.5.053024, 2018
  • 10 J. Bakas, R. Naskar and R. Dixit, Detection and localization of inter-frame video forgeries based on inconsistency in correlation distribution between Haralick coded frames, Multimedia Tools and Applications, Springer, vol. 78, no. 4, pp. 4905-4935, 2018, doi: 10.1007/s11042-018-6570-8, 2018
  • 11 V. U. Sameer and R. Naskar, K-Unknown Models Detection through Clustering in Blind Source Camera Identification, IET Image Processing, vol. 12, no. 7, pp. 1204–1213, 2018
  • 12 R. Dixit and R. Naskar, Copy-Move Forgery Detection utilizing FMT-Log Polar Features, SPIE Journal of Electronic Imaging, vol. 27, no. 2, 023007, 2018. doi: 10.1117/1.JEI.27.2.023007, 2018
  • 13 V. U. Sameer and R. Naskar, Eliminating the Effects of Illumination Condition in Feature based Camera Model Identification, Journal of Visual Communication and Image Representation, Elsevier, vol. 52, no. 2, pp. 24-32, 2018
  • 14 V. U. Sameer and R. Naskar, Blind Image Source Device Identification - Practicality and Challenges, International Journal of Information Security and Privacy, IGI Global, vol. 12, no. 3, article 5, 2018
  • 15 S. Gupta, A. Panda, R. Naskar, D. Mishra and S. Pal, Processing and refinement of steel microstructure images for assisting in computerized heat treatment of plain carbon steel, SPIE Journal of Electronic Imaging, vol. 26, no. 6, 063010, 2017. doi:10.1117/1.JEI.26.6.063010, 2017
  • 16 R. Dixit and R. Naskar, Review, Analysis and Parameterization of Techniques for Copy-Move Forgery Detection in Digital Images, IET Image Processing, vol. 11, no. 9, pp. 746-759, 2017
  • 17 R. Dixit, R. Naskar and S. Mishra, A blur-invariant copy-move forgery detection technique with improved detection accuracy utilizing SWT-SVD, IET Image Processing, vol. 11, no. 5, pp. 301-309, 2017
  • 18 V. U. Sameer, Sugumaran S., R. Naskar, Digital Forensic Source Camera Identification with Efficient Feature Selection using Filter, Wrapper and Hybrid Approaches, 12th International Conference on Information Systems Security (ICISS 2016), Jaipur, India. Proceedings published in Lecture Notes in Computer Science, vol. 10063, pp. 409-425, 2016, 2016
  • 19 R. Naskar and R. S. Chakraborty, A Technique to Evaluate Upper Bounds on Performance of Pixel-Prediction based Reversible Watermarking Algorithms, Journal of Signal Processing Systems (Springer), vol. 82, no. 3, pp. 373-389, 2016
  • 20 R. Naskar and R. S. Chakraborty, A Generalized Tamper Localization Approach for Reversible Watermarking Algorithms, ACM Transactions on Multimedia Computing Communications and Applications, vol. 9, no. 3, article 19, 2013
  • 21 R. Naskar and R. S. Chakraborty, Histogram-Bin-Shifting based Reversible Watermarking for Color Images, IET Image Processing, vol. 7, no. 2, pp. 99-110, 2013
  • 22 R. Naskar and R. S. Chakraborty, Reversible Watermarking Utilizing Weighted–median based Prediction, IET Image Processing, vol. 6, no. 5, pp. 507-520, 2012
  • 23 R. Naskar and R. S. Chakraborty, Performance of Reversible Digital Image Watermarking under Error-prone Data Communication: a Simulation-based Study, IET Image Processing, vol. 6, no. 6, pp. 728-737, 2012
    • 1 To view recent updates, visit, sites.google.com/site/ruchiranaskar/research, --, 2020
  • 2 B. N. Sarkar, S. Barman and R. Naskar, Blind Source Camera Identification of Online Social Network Images Using Adaptive Thresholding Technique, International Conference on Frontiers in Computing and Systems (COMSYS), Jalpaiguri, India, 2020., 2020
  • 3 J. B. Sarkar and R. Naskar, A Curve Fitting Thresholding Approach for Forensic Source Identification of JPEG Compressed Images, 7th IEEE International Conference on Computing for Sustainable Global Development (INDIACom), pp. 22-28, New Delhi, India, 2020., 2020
  • 4 A. Panda, R. Naskar and S. Pal, An Image Texture Descriptor based Machine Learning Framework for Prediction of Thermo-Mechanic Heat Treatment Process in Plain Carbon Steel, 11th International Symposium on Image and Signal Processing and Analysis (ISPA), Dubrovnik, Croatia, 2019, 2019
  • 5 S. Roy, A. Panda and R. Naskar, Unsupervised Ground Truth Generation for Automated Brain EM Image Segmentation, IEEE International Conference on Signal Processing & Integrated Networks (SPIN), 2019, Noida, India, 2019
  • 6 V. Adabala and R. Naskar, Hand Gesture Recognition Using Convolutional Neural Network, IEEE International Conference on Wireless Communications, Signal Processing and Networking, (WiSPNET), 2019, Tamil Nadu, India, 2019
  • 7 S. Roy, A. Panda and R. Naskar, An Automated Ensembled Deep Neural Network Approach towards Accurate Segmentation of Biomedical Images, IEEE International Conference on Wireless Communications, Signal Processing and Networking, (WiSPNET), 2019, Tamil Nadu, India., 2019
  • 8 D.B. Tariang, R.S. Chakraborty, R. Naskar, A. Roy and P. Sengupta, Improved Detection and Localization for Copy-move Forgery Detection with Similar but Genuine Objects, Computer Vision and Pattern Recognition Workshops (CVPRW), Long Beach, California, USA, 2019, 2019
  • 9 R. Dixit and R. Naskar, Copy-Rotate-Move Forgery Detection using Complex Wavelet Transform and Local Binary Pattern, 10th IEEE International Conference on Computing, Communication and Networking Technologies (ICCCNT), Kanpur, India, 2019, 2019
  • 10 A. Panda, S. Rajbans, R. Naskar and S. Pal, A 3D Wide Residual Network with Perceptual Loss for Brain MRI Image Denoising, 10th IEEE International Conference on Computing, Communication and Networking Technologies (ICCCNT), Kanpur, India, 2019, 2019
  • 11 V. U. Sameer, R. Naskar and S. Modalavalasa, Mitigating Adaptive PRNU Denoising (APD) in Camera Model Identification: An Anti-Counter Forensic Approach, IEEE TENCON 2019, Kochi, Kerala, India, 2019, 2019
  • 12 Vijaybhan, R. Naskar and S. Chinara, Identification of Psoriasis Disease In Dermatology Using Machine Learning Technique, International Conference on Recent Trends in Computational Engineering and Technologies (ICRTCET) 2018, Bengaluru, India, 2018
  • 13 V. U. Sameer, S. Mukhopadhyay, R. Naskar and I. Dali, Source Camera Identification and Detection in Digital Videos through Blind Forensics, International Conference on Recent Trends in Computational Engineering and Technologies (ICRTCET) 2018, Bengaluru, India, 2018
  • 14 A. Roy, D. B. Tariang, R. S. Chakraborty and R. Naskar, Discrete Cosine Transform Residual Feature based Filtering Forgery and Splicing Detection in JPEG Images, Computer Vision and Pattern Recognition Workshops (CVPRW), Salt Lake City, Utah, USA, 2018, 2018
  • 15 V. U. Sameer and R. Naskar, Universal Wavelet Relative Distortion: A New Counter Forensic Attack on Photo Response Non-Uniformity based Source Camera Identification, 14th International Conference on Information Security Practice and Experience (ISPEC) 2018, Tokyo, Japan. Proceedings published in Lecture Notes in Computer Science (LNCS), vol. 11125, pp. 37-49, 2018
  • 16 J. Bakas, B.A. Kumar and R. Naskar, MPEG Double Compression based Intra-Frame Video Forgery Detection using CNN, 17th IEEE International Conference on Information Technology (ICIT) 2018, Bhubaneswar India, 2018
  • 17 V. U. Sameer, I. Dali and R. Naskar, A Deep Learning based Digital Forensic Solution to Blind Source Identification of Facebook Images, 14th International Conference on Information Systems and Security (ICISS) 2018, IISc Bangalore. Proceedings published in Lecture Notes in Computer Science (LNCS), vol. 11281, pp. 291-303, 2018
  • 18 J. Bakas, P. Rawat, K. Kokkalla and R. Naskar, Re-compression based JPEG Tamper Detection and Localization using Deep Neural Network, Eliminating Compression Factor Dependency, 14th International Conference on Information Systems and Security (ICISS) 2018, IISc Bangalore. Proceedings published in Lecture Notes in Computer Science (LNCS), vol. 11281, pp. 318-341, 2018
  • 19 J. Bakas and R. Naskar, A Digital Forensic Technique for Inter-Frame Video Forgery Detection based on 3D CNN, 14th International Conference on Information Systems and Security (ICISS) 2018, IISc Bangalore. Proceedings published in Lecture Notes in Computer Science (LNCS), vol. 11281, pp. 304-317, 2018
  • 20 R. Dixit, R. Naskar and A. Sahoo, Copy–Move Forgery Detection Exploiting Statistical Image Features, 2017 IEEE International Conference on Wireless Communications Signal Processing and Networking (WisPNET 2017), Chennai, India, 2017
  • 21 V. U. Sameer, A. Sarkar and R. Naskar, Source Camera Identification Model: Classifier Learning, Role of Learning Curves and their Interpretation, 2017 IEEE International Conference on Wireless Communications Signal Processing and Networking (WisPNET 2017), Chennai, India, 2017
  • 22 P. Sengupta, V.U. Sameer, R. Naskar and E. Kalaimannan, Source Anonymization of Digital Images: A Counter–Forensic Attack on PRNU based Source Identification Techniques, Annual Conference on Digital Forensics, Security and Law (ADFSL) 2017, Florida, USA, 2017
  • 23 N. N. Dafale and R. Naskar, Sensor Pattern Noise based Source Anonymization, IEEE Third International Conference on Sensing, Signal Processing and Security (ICSSS) 2017, Chennai, India, 2017
  • 24 D. B. Tariang, A. Roy, R. S. Chakraborty and R. Naskar, Automated JPEG Forgery Detection with Correlation based Localization, IEEE International Conference on Multimedia and Expo (ICME) 2017, Hong Kong, 2017
  • 25 A. Roy, R. S. Chakraborty, V.U. Sameer and R. Naskar, Camera Source Identification Using Discrete Cosine Transform Residue Features and Ensemble Classifier, IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) 2017, Honolulu, Hawaii, USA, 2017
  • 26 V. U. Sameer, R. Naskar, N. Musthyala and K. Kokkala, Deep Learning based Counter-Forensic Image Classification for Camera Model Identification, 16th International Workshop on Digital Forensics and Watermarking (IWDW) 2017, Madgeburg, Germany. Proceedings published in Lecture Notes in Computer Science, vol. 10431, pp. 52-64, 2017, 2017
  • 27 V. U. Sameer, Sugumaran S., R. Naskar, Digital Forensic Source Camera Identification with Efficient Feature Selection using Filter, Wrapper and Hybrid Approaches, 12th International Conference on Information Systems Security (ICISS 2016), Jaipur, India. Proceedings published in Lecture Notes in Computer Science, vol. 10063, pp. 409-425, 2016, 2016
  • 28 R. Dixit and R. Naskar, DyWT based Copy-Move Forgery Detection with Improved Detection Accuracy, International Conference on Signal Processing & Integrated Networks (SPIN) 2016, Noida, India, 2016
  • 29 D. B. Tariang and R. Naskar, Re–Compressed based JPEG Forgery Detection and Localization through Automated Quality Factor Investigation, International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET), 2016, Chennai, India, 2016
  • 30 A. M. Kandepu and R. Naskar, Classification based Time–Efficient, Blind Source Camera Identification for Videos, 5th IEEE International Conference on Communication and Signal Processing (ICCSP) 2016, Tamilnadu, India, 2016
  • 31 J. Wadhwa, T. Ahemad, R. Naskar and R. Dixit, On Parameterization of Block based Copy-Move Forgery Detection Techniques, ACM Research in Adaptive and Convergent Systems (RACS) 2015, Prague, Czech Republic. pp. 125-130, 2015, 2015
  • 32 A. K. Yadav and R. Naskar, A Tamper Localization Approach for Reversible Watermarking based on Histogram Bin Shifting, Proceedings of IEEE Power, Communication and Information Technology Conference (PCITC), 2015, Bhubaneswar, India, pp. 721-726, 2015, 2015
  • 33 A. Roy, R. S. Chakraborty and R. Naskar, Reversible Color Image Watermarking in the YCoCg-R Color Space, International Conference on Information Systems Security (ICISS) 2015, Kolkata, India. Published in Lecture Notes in Computer Science, vol. 9478, pp. 480-498, 2015, 2015
  • 34 M. Shandilya, R. Naskar and R. Dixit, Detection of Geometric Transformations in Copy-Move Forgery of Digital Images, Proceedings of 12th IEEE India International Conference INDICON, 2015, New Delhi, India, pp. 1-6, 2015, 2015
  • 35 R. Naskar and R. S. Chakraborty, On Complexities of Spatial-domain Reversible Watermarking Algorithms, 8th INDIACom: International Conference on Computing for Sustainable Global Development 2014, New Delhi, India, 2014
  • 36 P. Malviya and R. Naskar, Digital Forensic Technique for Double Compression based JPEG Image Forgery Detection, International Conference on Information Systems Security (ICISS), 2014, Hyderabad, India. Published in Lecture Notes in Computer Science, vol. 8880, pp. 437-447, 2014, 2014
  • 37 P. Nagaraju, R. Naskar and R. S. Chakraborty, Improved Histogram Bin Shifting based Reversible Watermarking, International Conference on Intelligent System and Signal Processing (ISSP) 2013, Gujarat, India, 2013
  • 38 R. Naskar, A. Raju and R. S. Chakraborty, High Throughput Reversible Watermarking Scheme for Audio based on Redundant Embedding, International Conference on Signal Processing and Communication (ICSC) 2013, Noida, Uttar Pradesh, India, 2013
  • 39 R. Naskar and R. S. Chakraborty, Lossless Secret Image Sharing based on Generalized–LSB Replacement, ACM Research in Applied Computation Symposium (RACS), San Antonio, Texas, USA, 2012, 2012
  • 40 R. Naskar and R. S. Chakraborty, Fuzzy Inference Rule based Reversible Watermarking for Digital Images, International Conference on Information Systems Security (ICISS), 2012, Guwahati, India. Published in Lecture Notes on Computer Science, vol. 7671, pp. 149-163, 2012, 2012
  • 41 S. Bandyopadhyay, R. Naskar and R. S. Chakraborty, Reversible Digital Watermarking using Integer Wavelet Transform, Proceedings of International Conference on Scientific Paradigm Shift in Information Technology and Management (SPSITM) 2011, Kolkata, India, 2011
  • 42 S. Bandyopadhyay, R. Naskar and R. S. Chakraborty, Reversible Watermarking Using Priority Embedding through Repeated Application of Integer Wavelet Transform, International Conference on Security Aspects in Information Technology, High-performance Computing and Networking (InfoSecHiComNet) 2011, Haldia, West Bengal, India. Published in Lecture Notes in Comp, 2011
  • 43 R. Naskar and R. S. Chakraborty, Lossless Data Hiding for Halftone Color Images, IEEE International Conference on Image Information Processing (ICIIP) 2011, Shimla, Himachal Pradesh, India, 2011
  • 44 R. Naskar and R. S. Chakraborty, Reversible Image Watermarking through Coordinate Logic Operation based Prediction, International Conference on Information Systems Security (ICISS) 2011, Kolkata, India. Published in Lecture Notes on Computer Science, vol. 7093, pp. 190-203, 2011, 2011
    • 1 To view recent updates, visit, sites.google.com/site/ruchiranaskar/research, --, 2020
  • 2 S. Chinara, R. Naskar, J. Bakas, S. N. Mishra, Illegitimate EPR Modification: A major threat in IoT based healthcare system and its remedy through blind forensic measures, in Dr. S. Pal, Dr. V. Diaz, Dr. D-N Le (Ed.), "IoT: Security and Privacy Paradigm (Chapter-12, pp. 257)", CRC Press, Taylor and Francis Group, 2020
  • 3 A. Roy, R. Dixit, R. Naskar and R. S. Chakraborty, Digital Image Forensics - Theory and Implementation, Springer, Print ISBN: 978-981-10-7643-5, Online ISBN: 978-981-10-7644-2, 2019
  • 4 R. Naskar, V. U. Sameer, R. Dixit and J. Bakas, Digital Forensic: Current Trends and Practices, Studium Press (India), ISBN 13: 978-93-85046-48-3, 2019
  • 5 R. Naskar, P. Malviya and R. S. Chakraborty, Digital Forensics: State-of-the-Art and Open Problems", in Dr. R. Pal (ed.), "Innovative Research in Attention modeling for Computer Vision Applications, IGI Global (ISBN: 9781466687233 print, ISBN: 9781466687240 e-book), 2015
  • 6 R. Naskar and R. S. Chakraborty, Reversible Watermarking: Theory and Practice, in Dr. B. Issac (ed.), “Case Studies in Secure Computing – Achievements and Trends”, CRC Press, 2014
  • 7 R. Naskar and R. S. Chakraborty, Reversible Digital Watermarking: Theory and Practices, Morgan and Claypool Publishers, USA, ISBN: 978-1-627-05315-0, 2014
  • 8 R. Naskar, R. S. Chakraborty, D. K. Das and C. Chakraborty, Digital Image Watermarking: Impact on Medical Imaging Applications in Telemedicine, in Dr. R. Srivastava (ed.), “Recent Advances in Computer Vision and Image Processing: Methodologies and Applications”, IGI Global, 2013
  • 9 R. Naskar, Secret Sharing in User Hierarchy: Share Generation, Distribution and Renewal, Lambert Academic Publishing (LAP), GmbH & Co. KG, Germany, ISBN: 978-3-659-34264-6, 2013

    • Patents


    # Patents Year
    1 R. Naskar, D. Das and R. Das, "A Forensic System for Feature based Image Splicing Detection and Evaluation", Indian Copyright Diary No.: 22698/2023-CO/SW, Registration No. SW-17587/2023, filed in August 2023, granted in December 2023. 2023
    2 R. Naskar, V. U. Sameer, R. S. K. Reddy and S. G. Chandra, “A System for Execution and Evaluation of Forensic Source Identification of Digital Images", Indian copyright registered in April 2018 (Registration No.: SW-10532/2018 Dated: 25/04/ 2018
    3 R. S. Chakraborty, R. Naskar and B. Sarkar, “A Method and System for Evaluation of Reversible Watermarking of Digital Images and Audio”, Indian patent filed in May 2013 (Ref: 853/KOL/2013). 2013

    Responsibilities


    Associate Dean, Academic (PG & PhD)
    Since February, 2025
    Faculty Member and Convenor of Departmental Post Graduate Committee (DPGC), IT
    January 2023 --
    Deputy Chief Information Security Officer (CISO), IIEST Shibpur
    December, 2023 --
    Member JoSAA, IIEST Shibpur
    For admissions in AY 2021-22
    Faculty member, Committee for Self-Defense Training Program for Female Students, IIEST Shibpur
    October, 2019
    Faculty Member, Committee for implementation of Unnat Bharat Abhiyan (UBA) program at IIEST Shibpur
    October, 2019
    Member CCMT, IIEST Shibpur
    For admissions in AY 2020-21
    Faculty Member and Convenor of Departmental Training and Placement Committee (DTPC), IT
    AY 2019-22

    Projects


    • Project Title: “Malware Executable Detection and Classification through Visualization and Machine Learning” Funding Agency: IIT Kharagpur AI4CPS I Hub Foundation PI: Prof. Rajat Subhra Chakraborty 7363200.00 Co-PI: Dr. Ruchira Naskar Duration: 2 years (December 2023 - December 2025), Sponsored
      Ongoing
    • Title of the project: “Affective recognition from human facial videos for fighting DeepFakes and validation by correlation with human physiological signals” Funding Agency: Science and Engineering Research Board (SERB), Govt. of India PI: Dr. Ruchira Naskar Duration: 3 years (January 2024 - January 2027), Sponsored
      Ongoing
    • Title of the project: “Development of an IoT based forensic infrastructure for extraction, analysis and detection of cybercrime evidence from digital images and surveillance videos in an IoT framework” Funding Agency: Science and Engineering Research Board (SERB), Govt. of India PI: Dr. Ruchira Naskar Co-PI: Dr. Indrajit Banerjee Duration: 3 years (October 2023 - October 2026), Sponsored
      Ongoing
    • Title of the project: “Image manipulation detection in social networks based on forensic investigation of re-compression artefacts” Funding Agency: Technical Education Quality Improvement Programme-III (TEQIP-III), IIEST Shibpur PI: Dr. Ruchira Naskar Duration: Sanctioned in January, 2020., Sponsored
      Completed
    • Project Title: “Digital Image Forensics in the Context of a Connected India: Algorithms and Implementation” Funding Agency: Department of Science and Technology (DST), Govt. of India Scheme: Cyber Security (CS) Research of Interdisciplinary Cyber Physical Systems (ICPS) Programme PI: Dr. Rajat Subhra Chakraborty, Dr. Ruchira Naskar Duration: 3 years (September 2019 - September 2022), Sponsored
      Ongoing
    • Project Title: “Development of a Digital Forensic System for Blind Source Camera Identification of Contentious Images using Machine Learning” Funding Agency: Council of Scientific and Industrial Research (CSIR), Govt. of India Scheme: Extra Mural Research PI: Dr. Ruchira Naskar Duration: 3 years (August 2017 - August 2020), Sponsored
      Completed
    • Project Title: “Detection of Cyber Forgery in Multimedia Data through Blind Digital Forensics” Funding Agency: Board of Research in Nuclear Sciences (BRNS), Department of Atomic Energy (DAE), Govt. of India Scheme: Young Scientist Research Award PI: Dr. Ruchira Naskar Duration: 3 years (November 2016 - November 2019), Sponsored
      Completed
    • Project Title: “Digitization of steel microstructure images, modelling of plain carbon steel microstructure evolution during heat treatment using cellular automata and phase field modeling methods, and development of a software tool for providing guidance in designing heat treatment process using machine learning based classification techniques” Funding Agency: Science and Engineering Research Board (SERB), Govt. of India Scheme: SERB Early Career Scheme PI: Dr. Ruchira Naskar Co-PI: Dr. Snehanshu Pal Duration: 3 years (August 2016 - August 2019), Sponsored
      Completed
    • Project Title: “Image Source Device Identification and Authentication based on Machine Learning Techniques” Funding Agency: Media Asia Lab, Dept. of Electronics and Information Technology (DEITY), Govt. of India Scheme: Visveswaraya PhD Scheme PI: Dr. Ruchira Naskar Duration: 5 years (July 2015 - June 2020), Sponsored
      Completed
    • Project Title: “Development of Software for Cyber Crime Detection” Funding Agency: Technical Education Quality Improvement Programme-II (TEQIP-II), NIT Rourkela PI: Dr. Ruchira Naskar Duration: 1 year (November 2014 - October 2015), Sponsored
      Completed

    Awards


    • Member of Subject Expert Committee for Engineering Sciences - III: Computer Engineering for the Prime Minister Early Career Research Grant (PMECRG) program of Anusandhan National Research Foundation (ANRF), January 2025, Year: 2025
    • Associate Editor, IET Image Processing, since November, 2024, Year: 2024
    • Research by Ph.D. scholar Mr. Rajat Chakraborty on "Identifying Deepfakes based on Human Physiological Signals", selected for presentation at the Doctoral Consortium of 27th International Conference on Pattern Recognition (ICPR), 2024., Year: 2024
    • Research by Ph.D. scholar Ms. Tanusree Ghosh on "GAN and DM Generated Synthetic Image Detection in the Age of Misinformation", selected for presentation at the Doctoral Consortium of 27th International Conference on Pattern Recognition (ICPR), 2024., Year: 2024
    • "POSTER: GAN and DM Generated Synthetic Image Detection in the Age of Misinformation" accepted for presentation at 22nd International Conference on Applied Cryptography and Network Security (ACNS) 2024, at NYU, Abu Dhabi, UAE., Year: 2023
    • Recipient of SERB POWER Grant, 2023., Year: 2023
    • Recipient of SERB International Travel Grant 2023 for attending the 38th IEEE VCIP., Year: 2023
    • 2nd Prize in Best Student Research Presentation Award at PReMI 2023 won by Ph.D. scholar Tanusree Ghosh in December, 2023, ISI Kolkata., Year: 2023
    • Best Paper Award in INDICON 2022 for paper titled "Image Splicing Detection based on Deep Convolutional Neural Network and Transfer Learning" ("Emerging Technologies for Secure Computing" track)., Year: 2022
    • Invited to deliver a talk on "Digital Multimedia Security and Testing" in the 14th National Workshop on Recent Trends in Software Testing (RTST-2021), 2021., Year: 2021
    • Invited to deliver a talk on "Digital Forensics" in the All India Council for Technical Education (AICTE) Training And Learning (ATAL) Academy funded Faculty Development Program organized by NIT Rourkela in 2021., Year: 2021
    • Recipient of IEEE Computer Society Early Career Young Women Scientists Fellowship (2019) to attend the IEEE Asian Test Symposium 2019., Year: 2019
    • Recipient of "Young Scientist Research Award" (2016) by Board of Research in Nuclear Sciences (BRNS), Department of Atomic Energy (DAE), Govt. of India., Year: 2016
    • Recipient of "Early Career Research Grant" (2016) from Science and Engineering Research Board (SERB), Department of Science and Technology (DST), Govt. of India., Year: 2016
    • Invited to deliver a talk on "Digital Content Protection through Reversible Watermarking" at the 18th International Symposium on VLSI Design and Test (VDAT), July 2014, Coimbatore, India., Year: 2014
    • Invited to chair a session on "FPGA and Hardware Acceleration" at 18th International Symposium on VLSI Design and Test (VDAT), 2014., Year: 2014
    • Selected for poster presentation at Microsoft Techvista 2012, Kolkata, India., Year: 2012
    • Winner of the 1st IDRBT Doctoral Colloquium (2011), conducted by Institute for Development & Research in Banking Technology (IDRBT), established by the Reserve Bank of India, for a personal presentation on Ph.D. research proposal. Award includes of Rs. 50, Year: 2011
    • Recipient of “Foreign Travel Fellowship Award” by Department of Science and Technology, Govt. of India, to attend ACM RACS’12 conference in San Antonio, Texas (USA)., Year: 2012
    • Invited to attend the 2011 Women in Technology and Science Meet, GE Bangalore., Year: 2011
    • Selected to participate in the "Summer School on Security and Privacy (2011)" organized by Microsoft Research India., Year: 2011
    • Recipient of Intellectual Ventures (India) Invention Award for invention titled ” Reversible Watermarking of Color Images by Histogram–Bin–Shifting of Color Components” (Invention ID: IN-815068)., Year: 2011
    • Secured 99.79 percentile and All India Rank 11 in GATE (IT) 2008., Year: 2008
    • Ranked 2nd in Master of Technology (M.Tech) in the School of Information Technology, Indian Institute of Technology, Kharagpur, batch 2008-2010., Year: 2008
    • Received MHRD (India) scholarship in engineering from July 2008 to June 2010., Year: 2008
    • Received Institute Ph.D. Scholarship, Indian Institute of Technology, Kharagpur, from July 2010 to October 2013., Year: 2010
    • Qualified the Junior Research Fellowship (JRF) Selection Test for admission to Ph.D. Program of Indian Statistical Institute (ISI), Kolkata, 2010., Year: 2010

    Research Groups


    Debjit Das
    Ph. D.
    debjit18@gmail.com

    Research:
    Image splicing detection and localization through digital forensics

    Arnab Kumar Das
    Ph. D.
    arnab.rs2020@it.iiests.ac.in

    Research:
    Deepfake detection by human audio spectrogram analysis

    Tanusree Ghosh
    Ph. D.
    tanusreeghosh857@gmail.com

    Research:
    GAN/DM synthesized image identification

    Rajat Chakraborty
    Ph. D.
    rc10131@gmail.com

    Research:
    Identifying deepfakes from human physiological signals

    Priya Ranjan Misra
    Ph. D.
    priyomisra@gmail.com

    Research:
    Forged media identification in encrypted and compressed domains

    Debolina Ghosh
    Ph. D.
    debolinag690@gmail.com

    Research:
    Media Forensics in Compressed Domain

    Sunen Chakraborty
    Ph. D.
    2024itp005.sunen@students.iiests.ac.in

    Research:
    Human Physiology based DeepFake Forensics

    Kunal Roy
    Ph. D.
    2024itp006.kunal@students.iiests.ac.in

    Research:
    Multimedia IoT Forensics

    Created: 23 November 2019