Information Security, Steganalysis, Feature Selection, Machine Learning, Deep Learning and its use in Healthcare

• B.Sc. (Hons) Electronics , 1993 , Hansraj College, University of Delhi
• Master of Computer Applications (MCA) , 1996 , University of Delhi
• PhD in Computer Science , 2018 , University of Delhi

Dr. Veenu Bhasin, an alumnus of University of Delhi, has been with the Department of Computer Science, PGDAV College since July 2008. She started her career in 1996 as Software Consultant with HCL Infosystems Limited.  She has been teaching various undergraduate and postgraduate courses in University of Delhi since August 2000. She is currently working as an Associate Professor.  

She completed her Doctorate in Computer Science from Department of Computer Science, University of Delhi in 2018 and the Ph.D. thesis was titled “Feature Selection based Multi-class Image Steganalysis using Soft Computing Techniques”. She has published twelve research papers in various peer-reviewed international conferences and journals. She has presented several papers in various international conferences including IEEE SMC’2013, held at Manchester, UK.

She had been a resource person for various workshops at CPDHE and at Centre for Science Education and Communications, University of Delhi. She was the coordinator of e-lesson creation team for Discrete structures, a paper in the curriculum of B.Sc.(Hons.) Computer Science, and authored a chapter in the same; these e-lessons are now part of Virtual Learning Environment, ILLL, University of Delhi (vle.du.ac.in).

YouTube Channel - https://youtube.com/@drveenubhasin8372?si=GxBTTEqOIJ_EHa2P

• Theory of Computation
• Database Management Systems
• Discrete structures
• Data Structures
• Analysis and design of Algorithms
• Object Oriented Programming
• Web Design and Development
• Data Analysis and Visualization
• Data Mining
• Visual Programming and Android Programming.

• Convenor, IT Infrastructure Committee (2022-2023)
• Convenor, Cultural Committee (2021-2022, 2020-2021)
• T.I.C., Department of Computer Science (2021-2022, 2018-2019, 2009-2010, 2008-2009)
• ECA Admissions Nodal Officer and Member, Admissions Committee (2021-2022, 2020-2021)
• Member, IQAC (2021-2023) 
• Member, Admissions Committee (2023-2024, 2019-2020, 2018-2019, 2011-2012, 2010-2011, 2009-2010) 
• Member, Library Committee (2022-2023, 2021-2022)
• Member, ECA Admission Committee, University of Delhi (2023-2024, 2022-2023, 2021-2022)
• Member of Committee to assist the Culture Council in coordinating the various activities organized by the Colleges and Departments of the University of Delhi under Azadi ka Amrut Mahotsav, Culture Council, University of Delhi (August 2021 to August 2022) 
• Program Convenor, One-Week Online Faculty Development Program (FDP) on Natural Language processing and its applications (March 2022)
• Convenor, Certificate course titled Responsive Web Designing using Bootstrap (July 2021)
• Member of various committees - Apex, Academic, Timetable, Library, Infrastructure, SAF, IT Infrastructure, Website maintenance etc. several times.

Title: Feature Selection based Multi-class Image Steganalysis using Soft Computing Techniques

Abstract: Multi-class steganalysis categorizes an image into either as non-stego or into classes which correspond to different steganography methods. The steganalysis process analyzes features calculated from images and classification decision is based on this analysis. This work was an attempt to improve the multi-class steganalysis process for JPEG images.

ELM a multi-class fast learning classifier is used as a classifier in the multi-class steganalysis process in the work, making the process very fast and useful for real-time usage. The feature set comprised of Markov features and calibrated Markov features.

Two strategies had been used in the work to circumvent the enormity of the dimensionality of the feature sets– Multiclass Steganalysis process using ensemble of ELMs and Feature Selection using Swarm Intelligence techniques.

Stochastic Diffusion Search (SDS) is adapted for two-class steganalytic feature selection. SDSFS (filter type) and FS-SDS (wrapper type) were implemented. For multiclass steganalysis, feature selection needs to base the selection of features on fitness criteria which involves multiclass aspect and thus the classification results given by ELM is used as fitness criteria. Glowworm Swarm optimization, ABC, PSO and Harmony Search have also been adapted to select optimized feature set for multi-class steganalysis. A potential solution corresponds to a feature subset. Fitness criteria computation involves F1-score and size of the feature subset.

As culmination of the work in the thesis, the design of StegTrack a novel proactive antivirus-like memory-resident steganalysis tool with GUI was proposed. StegTrack tracks the traffic of images on a system and performs multi-class steganalysis on images. StegTrack gives user the flexibility of choosing the feature extractor, feature selection & classifier. This tool introduces cleaning; stego-image is rendered unfit for extracting hidden material from it. For testing the utility and feasibility of this tool, JPEG version of tool Stego-Tracker was implemented in Java & MATLAB.

Book Chapter:

1. Punam Bedi,  Shivani, Neha Gupta, Priti Jagwani, Veenu Bhasin, Chapter Name - Classification of genetic mutations using ontologies from clinical documents and deep learning, Book Name - Web Semantics, Editor(s): Sarika Jain, Vishal Jain, Valentina Emilia Balas, Academic Press, 2021, Pages 233-250, ISBN 9780128224687, https://doi.org/10.1016/B978-0-12-822468-7.00007-9. (https://www.sciencedirect.com/science/article/pii/B9780128224687000079)

Paper published in Book Series:

1. V. Bhasin, P. Bedi, N. Singh, C. Aggarwal, “FS-EHS: Harmony Search Based Feature Selection Algorithm for Steganalysis Using ELM”, Advances in Intelligent Systems and Computing , Innovations in Bio-Inspired Computing and Applications-2016, Publisher: Springer, Cham, Pages: 393-402, ISSN: 2194-5357 (UGC List - Journal No. 49365)

1. Veenu Bhasin and Punam Bedi, “Steganalysis of Colored JPEG Images using Ensemble of Extreme Learning Machines”, International Journal on Recent Trends in Engineering & Technology (IJRTET), Volume 11, Issue 1, Publisher: ACEEE, USA, 2014, Pages: 63 – 74, ISSN: 2158-5563 (UGC List - Journal No. 48133) 

2. Punam Bedi and Veenu Bhasin, “Multilayer ensemble of ELMs for Image Steganalysis with multiple feature sets”, International Journal of Computational Science and Engineering, Publisher: Inderscience publishers, 20(4), 558-569. ISSN print: 1742-7185, ISSN online: 1742-7193 [ Scopus-indexed ]

3. Punam Bedi, Anuradha Singhal, and Veenu Bhasin,  "Deep learning based active image steganalysis: a review", International Journal of System Assurance Engineering and Management (2023), Publisher: Springer Nature. https://doi.org/10.1007/s13198-023-02203-9

4. Anamika Gupta, Khushboo Thakkar, Veenu Bhasin, Aman Tiwari and Vibhor Mathur, “Bystander Detection: Automatic Labeling Techniques using Feature Selection and Machine Learning” International Journal of Advanced Computer Science and Applications (IJACSA), Volume 15 Issue 1, 2024, pages 1135-1143.  DOI: 10.14569/IJACSA.2024.01501112

5. Bedi, P., Ningshen, N., Rani, S., Gole, P. and Bhasin, V. (2024) “CT-γ-Net: A Hybrid Model based on Convolutional Encoder-Decoder and Transformer Encoder for Brain Tumor Localization”, Journal of Data Science and Intelligent Systems. doi: 10.47852/bonviewJDSIS42022514.

List of Papers presented and published in proceedings of International conferences

1. Punam Bedi, Veenu Bhasin, and Tarun Yadav (2016). 2L-DWTS - Steganography technique based on second level DWT. In ICACCI 2016 - International Conference on Advances in Computing, Communications and Informatics, (pp. 1548-1553). USA: IEEE Xplore, Jaipur, India.
2. Veenu Bhasin, Punam Bedi, Aakarshi Goel and Sukanya Gupta, “StegTrack: Tracking images with hidden content”, International Conference on  Advances in Computing, Communications and Informatics (ICACCI, 2015), August 10-13, 2015, Kochi, India
3. Bhasin, V.; Bedi, P.; Singhal, A., "Feature selection for steganalysis based on modified Stochastic Diffusion Search using Fisher score," International Conference on  Advances in Computing, Communications and Informatics (ICACCI, 2014), pp.2323-2330, 24-27 Sept. 2014, New Delhi, India
4. Veenu Bhasin and Punam Bedi, “Steganalysis for JPEG Images Using Extreme Learning Machine”, IEEE International Conference On Systems, Man, And Cybernetics (IEEE SMC 2013), October 13-16, 2013, Manchester, UK, pp. 1361-1366.
5. Veenu Bhasin, Punam Bedi, Archi, Sakshi Jindal, “Steganalysis of Colored JPEG Images”, International Conference on Advances in Recent Technologies in Communication and Computing, ARTCom 2013), September 20-21, 2013, Bangalore, India, pp. 288-296.
6. Veenu Bhasin and Punam Bedi, “Multi-class JPEG Steganalysis Using Extreme Learning Machine”, International Conference on Advances in Computing, Communications and Informatics (ICACCI-2013), August 23-24, 2013, Mysore, India, pp.1948-1952.

List of Papers published in proceedings of International conferences

1. Punam Bedi, Richa, Sumit Kumar Agarwal, and Veenu Bhasin (2016). ELM Based Imputation-Boosted Proactive Recommender Systems. In ICACCI 2016 - International Conference on Advances in Computing, Communications and Informatics, (pp. 80-85). USA: IEEE Xplore, Jaipur, India.
2. Bedi, P.; Bhasin, V.; Mittal, N.; Chatterjee, T., "FS-SDS: Feature selection for JPEG steganalysis using stochastic diffusion search," IEEE International Conference on Systems, Man and Cybernetics (SMC) 2014, pp.3797-3802, 5-8 Oct. 2014, San Diego, CA, USA
3. Roli Bansal, Veenu Bhasin, Priti Sehgal, and Punam Bedi (2013). Multi-Agent System for Intelligent Watermarking of Fingerprint Images. In FUZZ-IEEE 2013-International Conference on Fuzzy System, (pp. 1-8). USA: IEEE Xplore, Hyderabad, India.