# | List of Publication by Dr. Ruchira Naskar |
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1 | 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 |
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 | To view recent updates, visit, sites.google.com/site/ruchiranaskar/research, --, 2020 |
4 | 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 |
5 | 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 |
6 | 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 |
7 | 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 |
8 | 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 |
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, Unsupervised Ground Truth Generation for Automated Brain EM Image Segmentation, IEEE International Conference on Signal Processing & Integrated Networks (SPIN), 2019, Noida, India, 2019 |
11 | 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 |
12 | 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 |
13 | 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 |
14 | 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 |
15 | 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 |
16 | 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 |
17 | 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 |
18 | 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 |
19 | 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 |
20 | 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 |
21 | 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 |
22 | 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 |
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 | 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 |
25 | 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 |
26 | 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 |
27 | 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 |
28 | 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 |
29 | 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 |
30 | 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 |
31 | 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 |
32 | 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 |
33 | 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 |
34 | 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 |
35 | 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 |
36 | 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 |
37 | 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 |
38 | 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 |
39 | 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 |
40 | 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 |
41 | 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 |
42 | 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 |
43 | 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 |
44 | 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 |
Created: 23 November 2019