Publications

Patent

• R. S. Chakraborty, R. Naskar and B. Sarkar, “A Method and System for Evaluation of Reversible Watermarking of Digital Images and Audio”, Indian Patent No.: 405072, Application No.: 0653/KOL/2013, filed on May 31, 2013, granted in August 2022.

Copyright

• 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.

• 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 Diary No.: 16791/2017-CO/SW, Registration No.: SW-10532/2018, filed on November 29, 2017, granted in April 2018.

Books

• R. Naskar, V. U. Sameer, R. Dixit and J. Bakas, "Digital Forensics: Current Trends and Practices", Studium Press (India), ISBN 13: 978-93-85046-48-3, 2019.

• 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.

• 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.

• R. Naskar and R. S. Chakraborty, "Reversible Digital Watermarking: Theory and Practices", Morgan and Claypool Publishers, USA, ISBN: 978-1-627-05315-0, 2014.

Book Chapters

• J. Bakas and R. Naskar, "Detection and Localization of Double Compressed Forged Regions in JPEG Images using DCT Coefficients and Deep Learning based CNN", in Dr. S. Roy, Dr. R. S. Chakraborty, Dr. J. Mathew, Dr. A. P. Mazumdar, Dr. S. Chakraborty (Ed.), "Artificial Intelligence and Deep Learning for Computer Network", CRC Press (ISBN 9781032079592 print, ISBN 9781003212249 e-book), 2023.

• 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", CRC Press (ISBN 9781032239644 print, ISBN 9780429289057 e-book), 2020.

• 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.

• 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 (ISBN 9781138034136 print, ISBN 9780429090660 e-book), 2014.

• 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 (ISBN13: 9781522556282), 2013.

Journals

• D. Das and R. Naskar, "Image Splicing Detection using Low-Dimensional Feature Vector of Texture Features and Haralick Features Based on Gray Level Co-Occurrence Matrix", Signal Processing: Image Communication, Elsevier, 2024. (Accepted.) 

• A. Bhowal, S. Neogy and R. Naskar, "Deep Learning based Forgery Detection and Localization for Compressed Images Using A Hybrid Optimization Model", Multimedia Systems, Springer, 2024. (Accepted.)

• T. Ghosh and R. Naskar, "Less is More: A Minimalist Approach to Robust GAN-Generated Face Detection", Pattern Recognition Letters, Elsevier, vol. 179, pp. 185-191, ISSN 0167-8655, 2024. (https://doi.org/10.1016/j.patrec.2024.02.017)

• A. K. Das and R. Naskar, "A Deep Learning Model for Depression Detection based on MFCC and CNN Generated Spectrogram Features", Biomedical Signal Processing and Control, Elsevier, vol. 90, April 2024, 105898, ISSN 1746-8094, 2024. (https://doi.org/10.1016/j.bspc.2023.105898) 

• D. Das, R. Naskar and R.S. Chakraborty, "Image Splicing Detection with Principal Component Analysis Generated Low-dimensional Homogeneous Feature Set based on Local Binary Pattern and Support Vector Machine", Multimedia Tools and Applications, Springer, vol. 82, July 2023, pp. 25847–25864, 2023. (https://doi.org/10.1007/s11042-023-14658-w)

• A. Panda, R. Naskar and S. Pal, "Generative Adversarial Networks for Noise removal in Plain Carbon Steel Microstructure images", IEEE Sensors Letters, vol. 6, no. 3, pp. 1-4, 2022.

• J. Bakas, R. Naskar, M. Nappi and S. Bakshi, "Object based Forgery Detection in Surveillance Video using Capsule Network", Journal of Ambient Intelligence and Humanized Computing, Springer, vol. 89, 106929, 2021.

• S. Nath and R. Naskar, "Automated Image Splicing Detection using Deep CNN Learned Features and ANN based Classifier", Signal, Image and Video Processing, Springer, vol. 15, pp. 1601–1608, 2021.

• J. Bakas, R. Naskar and S. Bakshi, "Detection and localization of inter-frame forgeries in videos based on macroblock variation and motion vector analysis", Computers and Electrical Engineering, Elsevier, vol. 89, 106929, 2021.

• V. U. Sameer and R. Naskar, "Deep Siamese Network for Limited Labels Classification in Source Camera Identification", Multimedia Tools and Applications, Springer, vol. 79, no. 37, pp. 28079-28104, 2020.

• 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, 23006, 2020.

• 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.

• 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.

• A. Choudhury, S. Pal, R. Naskar and A.B. Mallick, "Computer Vision Approach for Phase Identification from Steel Microstructure", Engineering Computations, Emerald Insight, vol. 36, 1913-1933, 2019.

• 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.

• 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, 2019.  

• 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.

• V. U. Sameer, Sugumaran S. 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.

• 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. 

• 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.

• 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, pp. 84-99, 2018. 

• 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

• 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.

• R. Dixit, R. Naskar and S. Mishra, "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. 

• 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, Mar. 2016, pp. 373-389, 2016.

• 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, Jun. 2013.

• 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, Mar. 2013.

• 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, Aug. 2012.

• R. Naskar and R. S. Chakraborty, "Reversible Watermarking Utilizing Weighted–median based Prediction", IET Image Processing, vol. 6, no. 5, pp. 507-520, Jul. 2012.

• R. Naskar and I. Sengupta, "Secret Sharing and Proactive Renewal of Shares in Hierarchical Groups", International Journal of Computer Science and Information Technology, vol. 2, no. 3, pp. 160-179, Jul. 2010.

Conferences

• T. Ghosh and R. Naskar, "POSTER: GAN and DM Generated Synthetic Image Detection in the Age of Misinformation", ACNS 2024: 22nd International Conference on Applied Cryptography and Network Security, Abu Dhabi, UAE, 2024. To be published in the post-proceedings published in LNCS series by Springer. (Accepted) 

• D. Das, R. Das and R. Naskar, "Spliced Region Detection and Localization in Digital Images based on CNN Learning Guided by Color Transitions and Surface Texture", 13th International Conference on Security, Privacy and Applied Cryptographic Engineering (SPACE), 2023. Published in Springer Lecture Notes in Computer Science (LNCS), vol 14412. Springer, Cham. https://doi.org/10.1007/978-3-031-51583-5_11 

• S. Mandal, B. Ghosh and R. Naskar, "A Photoplethysmography (PPG) Sensor based Stress Level Monitoring System for Undergraduate Students of Technical Education", INDICON 2023 IEEE 20th India Council International Conference, NIT Warangal, India, 2023. 

• D. Das and R. Naskar, "High-Performance Image Splicing Detection utilizing Image Augmentation and Deep Learning", INDICON 2023 IEEE 20th India Council International Conference, NIT Warangal, India, 2023. 

• A. K. Das, S. Mukhopadhyay, A. Dalui, R. Bhattacharya and R. Naskar, "A Multi-Stage Multi-Modal Classification Model for DeepFakes Combining Deep Learned and Computer Vision Oriented Features", 19th International Conference on Information Systems Security (ICISS), NIT Raipur, pp. 217-226, Cham: Springer Nature Switzerland, 2023. 

• T. Ghosh and R. Naskar, "STN-Net: A Robust GAN-Generated Face Detector", 19th International Conference on Information Systems Security (ICISS), NIT Raipur, pp. 141-158, Cham: Springer Nature Switzerland, 2023.

• T. Ghosh and R. Naskar, "Leveraging Image Gradients for Robust GAN-Generated Image Detection in OSN context", IEEE International Conference on Visual Communications and Image Processing (VCIP), Jeju, South Korea, 2023. 

• M. Paul and R. Naskar, "Deep Learning Enabled Pneumonia Detection From Chest X-rays: A Transfer Learning Based Ensemble Classification Approach", IEEE 3rd International Conference on Smart Technologies for Power, Energy and Control (STPEC), KIIT Bhubaneswar, 2023. 

• S. Das, D. Dutta, T. Ghosh and R. Naskar, "Universal Detection and Source Attribution of Diffusion Model Generated Images with High Generalization and Robustness",  10th International Conference on Pattern Recognition and Machine Intelligence (PReMI2023), ISI Kolkata, pp. 441-448, Cham: Springer Nature Switzerland, 2023. 

• A. K. Das, S. Mukhopadhyay, A. Dalui, R. Bhattacharya and R. Naskar, “Fighting Deepfakes by Detecting DCT Frequency Anomalies”, Proceedings of IEEE International Conference on Devices, Circuits and Systems (ISDCS), Hiroshima University (Japan) in collaboration with IIEST Shibpur (India), 2023. 

• A.K. Das, V. Patidar and R. Naskar, “Artificial Synthesis of Single Person Videos through Motion Transfer using Cycle Generative Adversarial Networks and Machine Learning”, 9th IEEE International Conference on Advanced Computing and Communication Systems (ICACCS), Chennai, India, 2023.

• D. Das and R. Naskar, "Image Splicing Detection based on Deep Convolutional Neural Network and Transfer Learning", INDICON 2022 IEEE 19th India Council International Conference, Kerala, India, 2022.

• D. Das, B. Bhunia, R. Naskar and R.S. Chakraborty, "Linear and Non-Linear Filter-based Counter-Forensics Against Image Splicing Detection", 7th International Conference on Computer Vision & Image Processing (CVIP), Nagpur, India, 2022.

• D. Das and R. Naskar, "Image Splicing Detection Using Feature Based Machine Learning Methods and Deep Learning Mechanisms ", 4th International Conference on Computational Intelligence in Pattern Recognition (CIPR), West Bengal, India, 2022. 

• A.K. Das and R. Naskar, "Audio Driven Artificial Video Face Synthesis Using Machine Learning Approaches", 4th International Conference on Computational Intelligence in Pattern Recognition (CIPR), West Bengal, India, 2022. 

• A. Roy and R. Naskar, "Improving Smart Cities Safety Using Sanity-Check Deep Neural Network Algorithm", 16th INDIACom 2022 - 9th IEEE International Conference on Computing for Sustainable Global Development, New Delhi, India, 2022. 

• S. Ahmed and R. Naskar, "Image Splicing Detection and Localisation using EfficientNet and Modified U-Net Architecture", 10th IEEE International Conference on Internet of Everything, Microwave Engineering, Communication and Networks (IEMECON 2021), Jaipur, India, 2021.

• D. Banerjee and R. Naskar, "Deep Learning based Blind Source Identification of WhatsApp and Facebook Images", 15th INDIACom 2021 - 8th IEEE International Conference on Computing for Sustainable Global Development, New Delhi, India, 2021. 

• D. B. Tariang, S. C. Birudaraju, R. Naskar, V. Khare and R. S. Chakraborty, "Malware Classification Through Attention Residual Network based Visualization", IEEE Asian Hardware Oriented Security and Trust (AsianHOST), Kolkata, India, 2020.

• S. Mondal, D. Pushkar, M. Kumari and R. Naskar, "Forensic Source Identification of OSN Compressed Images", 16th International Conference on Information Systems and Security (ICISS) 2020, IIT Jammu, 2020.

• 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.

• 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. 

• 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. 

• 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. 

• 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.

• 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.

• 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. 

• 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), Tamil Nadu, India, 2019.

• 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.

• 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), Noida, India, 2019.

• V. Adabala and R. Naskar, "Hand Gesture Recognition Using Convolutional Neural Network", IEEE International Conference on Wireless Communications, Signal Processing and Networking, (WiSPNET), Tamil Nadu, India, 2019.

• 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), Noida, India, 2019.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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. 

• 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, Hawai, USA.

• 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.

• 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. 

• 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. 

• 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.

• 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. 

• 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.

• 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.

• 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. 

• 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. 

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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 Computer Science, vol. 7011, pp. 45-56, 2011.

• 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.