Database and Information Security, Machine Learning and Deep Learning in Real-life Applications

16 years completed and continuing

Graduate Level	:	Computer Programming, Operating System, Database Engineering, Computer Graphics & Multimedia, Computer Architecture, C & Data Structure
Post Graduate Level	:	Intrusion Detection Systems, Advanced Database Management Systems, Machine Learning

Database and Information Security, Application-Specific Fraud Detection, Use of Machine Learning and Deep Learning in Healthcare Analytics and other Real-life Applications

Ph. D. Candidates	:	05 (Awarded), 04 (Continuing)
M. Tech. Candidates	:	13 completed and one continuing

1. Best Student Paper Award received in 1st National Student Computing Conference (NSCC’18), 2018 during SRUJAN 2018 at VSSUT, Burla.
2. Best Paper Award received in IEEE International Conference on Computing, Analytics and Security Trends (CAST 2016), Pune.
3. Best Student Paper Award received in 15th International Conference on Information Technology (ICIT 2016) held during December 2016 at Bhubaneswar.
4. Best Poster Presentation in the Department of CSE & IT received in the Workshop for Monitoring the Progress of Research Scholars (MRS-2017) on the Open Day held on 17th March, 2017at VSSUT, Burla.

Lifetime member of Odisha Information Technology Society (OITS)

1. Project Title - Survivable Information System Architecture with Intrusion tolerance, Containment and Recovery in Distributed Environment (RDE).
   Sponsor - Department of Information Technology (DIT), Ministry of Communications and Information Technology, Government of India.Value - Rs. 5,500,000, Duration - 3.5 Years.
   PRINCIPAL INVESTIGATOR (SUPERVISOR) - Prof. Shamik Sural, Professor, School of Information Technology, IIT Kharagpur, India.
   CO-PRINCIPAL INVESTIGATOR - Prof. A. K. Majumdar, Professor, Department of CSE, IIT Kharagpur, India
   Undertaken at - School of Information Technology, IIT Kharagpur, India.

International Publications

2024
1. Gorle, Venkata Lakshmi Narayana, and S. Panigrahi. "A semi-supervised Anti-Fraud model based on integrated XGBoost and BiGRU with self-attention network: an application to internet loan fraud detection." Multimedia Tools and Applications 83, no. 19 (2024): 56939-56964.
2023
2. Saha, Munmun, Sanjaya Kumar Panda, and S. Panigrahi. "A modified Brown and Gibson model for cloud service selection." International Journal of Computational Science and Engineering 26, no. 4 (2023): 430-444.
3. Saha, Munmun, Sanjaya Kumar Panda, S. Panigrahi, and David Taniar. "An efficient composite cloud service model using multi-criteria decision-making techniques." The Journal of Supercomputing, Vol. 79, No. 8, pp. 8754-8788, 2023.
4. Sharmila Subudhi, S. Panigrahi, “Detection of Automobile Insurance Fraud using Feature Selection and Data Mining Techniques”, International Journal of Rough Sets and Data Analysis (IJRSDA), IGI Global, ISSN: 2334-4598, EISSN: 2334-4601, vol. 5, no. 3, pp. 1 – 20, 2018 (UGC Care Listed).
5. Sharmila Subudhi, S. Panigrahi, and T. K. Behera, “Detection of Mobile Phone Fraud Detection System Using Possibilistic Fuzzy C-Means Clustering and Hidden Markov Model”, International Journal of Synthetic Emotions (IJSE), IGI Global, vol. 7, no. 2, pp. 23-44, 2016, ISSN: 1947-9093, doi: 10.4018/IJSE.2016070102 (UGC Care Listed).
6. Sushree Bibhuprada B. Priyadarshini, S. Panigrahi, “A Distributed Scalar Controller Selection Scheme for Redundant Data Elimination in Sensor Networks”, International Journal of Knowledge Discovery in Bioinformatics (IJKDB), IGI Global, vol. 7, no. 1, pp. 91-104, 2017, ISSN: 1947-9115, EISSN: 1947-9123, doi: 10.4018/IJKDB (UGC Care Listed).
7. Brahma, Anitarani, S. Panigrahi, Neelamani Samal, and Debasis Gountia. "Rule-based database intrusion detection using coactive artificial neuro-fuzzy inference system and genetic algorithm." International Journal of Business Intelligence and Data Mining, Vol. 21, No. 1, pp. 85-101, 2022.
8. Sanjaya Kumar Panda, Munmun Saha, and S. Panigrahi. "A Survey on Applications of Multi-Attribute Decision Making Algorithms in Cloud Computing." SPAST Abstracts, vol. 1, no. 1, published Sep 24, 2021, URL: https://spast.org/techrep/article/view/1165 (UGC Care Listed, Scopus).
9. Sharmila Subudhi, S. Panigrahi, ‘A Hybrid Mobile Call Fraud Detection Model using Optimized Fuzzy C-Means Clustering and Group Method of Data Handling-based Network’, Vietnam Journal of Computer Science, Springer, pp. 1-13, 2018, ISSN: 2196-8888 (print version), ISSN: 2196-8896 (electronic version), DOI: 10.1007/s40595-018-0116-x (UGC Care Listed).
10. Sushree Bibhuprada B. Priyadarshini, S. Panigrahi, “Redundant Data Minimization Using Hexagonal Scalar Premier Neighbourhood for Optimum Camera Actuation Scheme”, The Journal of Engineering (JoE), IET, pp. 1-11, 2016, Online ISSN 2051-3305, doi: 10.1049/joe.2016.0011 (UGC Care Listed, Emerging SCI (ESCI)).
11. Anitarani Brahma, S. Panigrahi, “A New Approach to Intrusion Detection in Databases by using Artificial Neuro Fuzzy Inference System”, International Journal of Reasoning-based Intelligent Systems, Inderscience Publishers, vol. 7, nos. 3/4, pp. 254-260, 2015, ISSN online: 1755-0564, ISSN print: 1755-0556, doi: 10.1504/IJRIS.2015.072952 (UGC Care Listed, Scopus).
12. Sharmila Subudhi, S. Panigrahi, “Use of Fuzzy Clustering and Support Vector Machine for Detecting Fraud in Mobile Telecommunication Networks”, International Journal of Security and Networks (IJSN), Inderscience Publishers, vol. 11, no. 1-2, pp. 3-11, 2016, ISSN online: 1747-8413, ISSN print: 1747-8405, doi: 10.1504/IJSN.2016.075069 (UGC Care Listed, Scopus).
13. Sharmila Subudhi, S. Panigrahi, “Two-stage Automobile Insurance Fraud Detection by Using Optimized Fuzzy C-Means Clustering and Supervised Learning”, International Journal of Information Security and Privacy (IJISP), IGI Global, 2018, ISSN: 1930-1650,|EISSN: 1930-1669, DOI: 10.4018/IJISP (Accepted) (Scopus, Web of Science Emerging SCI (ESCI).
14. Anitarani Brahma, S. Panigrahi, “Role Based Profiling using Fuzzy Adaptive Resonance Theory for Securing Database Systems”, International Journal of Applied Metaheuristic Computing (IJAMC), IGI Global, vol. 12, no. 2, pp. 36-48, 2021 (Scopus, Web of Science Emerging SCI (ESCI).
15. D. Kar, S. Panigrahi and S. Sundararajan, “SQLiDDS: SQL Injection Detection using Document Similarity Measure”, Journal of Computer Security, IOS Press, pp. 1-33, ISSN print 0926-227X, ISSN online 1875-8924, doi: 10.3233/JCS-160554, 2016 (Scopus, Web of Science: Emerging SCI (ESCI)).
16. Sushree Bibhuprada B. Priyadarshini, S. Panigrahi, “A Centralized cum Sub-Centralized Scheme for Multi-Event Coverage and Optimum Camera Activation in Wireless Multimedia Sensor Networks”, Special Issue on Creating a Smarter Environment through Advancement of Communication Systems, Networks and Applications, IET Networks, IET, vol. 4, no. 6, pp. 314–328, 2015, Online ISSN 2047-4962. Print ISSN 2047-4954, doi: 10.1049/iet-net.2015.0017 (Emerging SCI, Scopus, Source Normalized Impact per Paper (SNIP) = 0.987).
17. Sushree Bibhuprada B. Priyadarshini, S. Panigrahi, “A Novel Approach Using Optimum Camera Actuation in Event Boundary Detection Method for Redundant Data Minimization”, Ain Shams Engineering Journal, Elsevier, 2016, ISSN: 2090-4479, doi:10.1016/j.asej.2016.04.013 (Scopus, SCI Expanded (SCI-E), IF=3.18).
18. Sushree Bibhuprada B. Priyadarshini, S. Panigrahi, “A Quadrigeminal Scheme based on Event Reporting Scalar Premier Selection for Camera Actuation in Wireless Multimedia Sensor Networks”, Journal of King Saud University: Engineering Sciences, Elsevier, 2017, ISSN: 1018-3639, doi: 10.1016/j.jksues.2017.04.002 (Article In Press) (UGC Care Listed, Scopus, IF = 4.806).
19. Sushree Bibhuprada B. Priyadarshini, S. Panigrahi, “Creating More Efficient Distributed Cameras: A Distributed Multievent Ensnaring Scheme Based on Scalar Leader Determination”, IEEE Consumer Electronics Magazine, IEEE, vol. 7, no. 5, pp. 34 – 39, 2018 (UGC Care Listed, Scopus, IF = 3.789).
20. D. Kar, S. Panigrahi, and S. Sundararajan, “SQLiGoT: Detecting SQL Injection Attacks using Graph of Tokens and SVM,” Computers & Security, Elsevier, vol. 60, pp. 206-225, 2016, ISSN: 0167-4048, doi:10.1016/j.cose.2016.04.005 (Scopus, SCI Expanded (SCI-E), IF = 4.438).
21. Sharmila Subudhi, S. Panigrahi, “Use of Optimized Fuzzy C-Means lustering and supervised classifiers for automobile insurance fraud detection”, Journal of King Saud University - Computer and Information Sciences, Elsevier, 2017, ISSN: 1319-1578, doi: https://doi.org/10.1016/j.jksuci.2017.09.010 (Article In Press) (Scopus, SCI Expanded (SCI-E), IF = 13.473).
22. Sharmila Subudhi, S. Panigrahi, “Application of OPTICS and Ensemble Learning for Database Intrusion Detection”, Journal of King Saud University - Computer and Information Sciences, ISSN: 1319-1578, doi: https://doi.org/10.1016/j.jksuci.2017.09.010 (Article in Press) (Scopus, SCI Expanded (SCI-E), IF = 13.473).
23. A. Kundu, S. Panigrahi, S. Sural and A. K. Majumdar, “BLAST-SSAHA Hybridization for Credit Card Fraud Detection”, IEEE Transactions on Dependable and Secure Computing (IEEE TDSC), vol. 6, no. 4, pp. 309-315, October-December 2009, ISSN: 1545-5971, doi: 10.1109/TDSC.2009.11 ((SCI Expanded (SCI-E), IF = 7.329)).
24. S. Panigrahi, S. Sural and A. K. Majumdar, “Two-Stage Database Intrusion Detection by Combining Multiple Evidence and Belief Update”, Information Systems Frontiers (Special Issue on Security Management and Technologies for Protecting Against Internal Data Leakages), Springer, vol. 15, no. 1, pp. 35-53, 2013, ISSN: 1387-3326 (Print) 1572-9419 (Online), doi: 10.1007/s10796-010-9252-2 ((Scopus, SCI Expanded (SCI-E), IF = 6.191)).
25. S. Panigrahi, A. Kundu, S. Sural and A. K. Majumdar, “Credit Card Fraud Detection: A Fusion Approach using Dempster-Shafer Theory and Bayesian Learning”, Information Fusion (Special Issue on Information Fusion in Computer Security), Elsevier, vol. 10, no. 4, pp. 354-363, 2009, ISSN: 1566-2535, doi:10.1016/j.inffus.2008.04.001 (Scopus, SCI Expanded (SCI-E), IF = 12.975).

International Conferences

1. Anitarani Brahma, and S. Panigrahi, "Role of soft outlier analysis in database intrusion detection." In Advanced Computing and Intelligent Engineering: Proceedings of ICACIE 2018, Volume 1, pp. 479-489. Springer Singapore, 2020.
2. Anitarani Brahma, S. Panigrahi, and Jayasmita Mahapatra. "Anomaly detection in database using BAT algorithm." In 2020 International Conference on Computer Science, Engineering and Applications (ICCSEA), pp. 1-5. IEEE, 13-14 March 2020.
3. Saha, Munmun, Sanjaya Kumar Panda, and S. Panigrahi. "A survey on applications of multi-attribute decision making algorithms in cloud computing." ECS Transactions 107, no. 1 (2022): 12887, 24th April 2022.
4. Saha, Munmun, Sanjaya Kumar Panda, and S. Panigrahi. "An efficient service selection algorithm for cloud computing." In Advances in Distributed Computing and Machine Learning: Proceedings of ICADCML 2022, pp. 95-107. Singapore: Springer Nature Singapore, 15-16 Jan 2022.
5. Saha, Munmun, Sanjaya Kumar Panda, and S. Panigrahi. "An Uncertainty-Aware Cloud Service Selection Model Using CRITIC and MAUT." In Advances in Distributed Computing and Machine Learning: Proceedings of ICADCML 2022, pp. 239-257. Singapore: Springer Nature Singapore, 15-16 Jan 2022.
6. A. Mohanta, S. Panigrahi, “Health Insurance Fraud Detection using Feature Selection and Ensemble Machine Learning Technique,” In Advances in Distributed Computing and Machine Learning: Proceedings of ICADCML 2023, pp. 197-207. Singapore: Springer Nature Singapore, 15-16 Jan 2023.
7. N. Agarwal, S. Panigrahi, “A Comparative Analysis of Fraud Detection in Healthcare using Data Balancing & Machine Learning Techniques”, In 4th International Conference on Communication, Circuits and Systems (IC3S 2023), pp. 1-4. IEEE, 26-28 May 2023.
8. S. Rath, S. Panigrahi, “Healthcare Insurance Fraud Prediction with Correlation based Forward Feature Selection,” In 2nd International conference on ambient intelligence in health care (ICAIHC 2023), pp. 1-5. IEEE, 2023.
9. A. P. Mishra, S. Panigrahi, “Efficient Diagnosis of Coronary Artery Disease: A hybrid Convolutional-XGBoost Approach”, In 2nd International conference on ambient intelligence in health care (ICAIHC 2023), pp. 1-4. IEEE, 2023.
10. Gorle, Venkata Lakshmi Narayana, S. Panigrahi. "Novel Methodology of Adaptive Machine Learning and Deep Learning System for Detecting the Fraudulent Activities in Financial Sector." In 2024 IEEE International Conference on Contemporary Computing and Communications (InC4), vol. 1, pp. 1-6. IEEE, 2024.
11. Shalini Pradhan, S. Panigrahi, “Comparative Analysis of Machine Learning Algorithms for Lung and Colon Cancer Classification Using Deep Feature Extraction”, In International Conference on Advancements in Artificial Intelligence and Machine Learning for Security (ICAAIML 2024), Dec. 20-21, 2024 (Accepted).
12. Sushree Bibhuprada B. Priyadarshini and S. Panigrahi, “Redundant Data Minimization Using Minimal Mean Distant Scalar Leader Selection for Event Driven Camera Actuation”, In Proceedings of the 15th International Conference on Information Technology (ICIT 2016), Bhubaneswar, India, December 2016, Electronic ISBN: 978-1-5090-3584-7, Print on Demand (PoD) ISBN: 978-1-5090-3585-4.
13. Anitarani Brahma, S. Panigrahi, N. Samal , “A Novel Approach to Database Intrusion Detection Using Support Vector Machine with Fuzzy Clustering”, International Journal of Engineering Science Invention (National Conference On Recent Trends In Soft Computing & It ´s Applications (RTSCA-2K17)), ISSN (Online): 2319 – 6734, pp. 17-21, 2017.
14. Sushree Bibhuprada B. Priyadarshini, S. Panigrahi, Amiya Bhusan Bagjadab, “A Distributed Triangular Scalar Cluster Premier Selection Scheme for Enhanced Event Coverage and Redundant Data Minimization in Wireless Multimedia Sensor Networks”, In Proceedings of the International Conference on Contemporary issues in Science, Engineering & Management (ICCI-SEM-2K17), GIFT, Bhubaneswar, 18th-19th February, 2017 (Accepted).
15. Anitarani Brahma, S. Panigrahi, J. Mahapatra, “Anomaly Detection in Database using BAT algorithm”, International Conference on Computer Science, Engineering and Applications (ICCSEA), Gunupur, India, IEEE, pp. 1-5, 2020.
16. Anitarani Brahma, S. Panigrahi, and Jayasmita Mahapatra, “A Hybrid Database Intrusion Detection Algorithm Using Swarm Intelligence and Radial Basis Function Network”, In Proceedings of 3rd International Conference on Computing, Communication, Information Security and analysis (ICCCISA-2019), 1-2 Feb 2019, G. H. Raisoni College of Engineering & Management, Pune, India.
17. Priyadarshini, Sushree Bibhuprada B., and S. Panigrahi. "A distributed approach based on hierarchical scalar leader selection for enhanced event coverage in wireless multimedia sensor networks." In International Conference on Distributed Computing and Internet Technology, pp. 3-14. Springer, Cham, 2017.
18. Priyadarshini, Sushree Bibhuprada B., Amiya Bhusan Bagjadab, S. Panigrahi, and Brojo Kishore Mishra. "An Investigative Prolegomenon on Various Clustering Strategies, Their Resolution, and Future Direction Towards Wireless Sensor Systems." In Emerging Technologies in Data Mining and Information Security, pp. 747-756. Springer, Singapore, 2019.
19. Sushree Bibhuprada B. Priyadarshiniand S. Panigrahi, “A Non-heuristic Approach for Minimizing the Number of Cameras Actuated in Wireless Multimedia Sensor Networks”, In Proceedings of 02nd ITR International Conference, Bhubaneswar, 7th September, 2014, ISBN: 978-93-84209-50-6.
20. Sharmila Subudhi, S. Panigrahi, “Use of Possibilistic Fuzzy C-means Clustering for Telecom Fraud Detection”. In: Behera H., Mohapatra D. (eds) Computational Intelligence in Data Mining. Advances in Intelligent Systems and Computing, vol. 556. Springer, Singapore, 2018, DOI: 10.1007/978-981-10-3874-7_60, Print ISBN: 978-981-10-3873-0, Online ISBN: 978-981-10-3874-7.
21. Anmol Pattanaik, and S. Panigrahi. "Use of Particle Swarm Optimization for Feature Selection and Data Mining Methods for Efficient Detection of Automobile Insurance Fraud." In 2018 International Conference on Recent Innovations in Electrical, Electronics & Communication Engineering (ICRIEECE), pp. 1095-1098. IEEE, 2018.
22. Anitarani Brahma, and S. Panigrahi. "Database intrusion detection using adaptive resonance network theory model." In Computational Intelligence in Data Mining, pp. 243-250. Springer, Singapore, 2020.
23. Anitarani Brahma, S. Panigrahi, J. Mahapatra, “A Hybrid Database Intrusion Detection Algorithm Using Swarm Intelligence and Radial Basis Function Network”, Helix, Vol. 9, No. 3, pp. 5031-5035, 2019.
24. Munmun Saha, Sanjaya Kumar Panda, and S. Panigrahi. "Distributed computing security: issues and challenges." In Cyber security in parallel and distributed computing: concepts, techniques, applications and case studies, pp. 129-138, Wiley Online Library, 2019.
25. Anitarani Brahma, and S. Panigrahi. "Role of soft outlier analysis in database intrusion detection." In Advanced Computing and Intelligent Engineering, pp. 479-489. Springer, 2020.
26. Sharmila Subudhi, S. Panigrahi, “Effect of Class Imbalanceness in Detecting Automobile Insurance Fraud”, In 2018 2nd International Conference on Data Science and Business Analytics (ICDSBA), Changsha, China, pp. 528-531, IEEE, 2018.
27. Rajesh Kumar Sahu, and S. Panigrahi. "Application of deep learning for database intrusion detection." In Advanced Computing and Intelligent Engineering, pp. 501-511. Springer, 2020.
28. Slokashree Padhi, and S. Panigrahi. "Use of data mining techniques for data balancing and fraud detection in automobile insurance claims." In International Conference on Intelligent Computing and Communication, pp. 221-230. Springer, Singapore, 2019.
29. K. Ashwini, and S. Panigrahi. "Application of Generalized Possibilistic Fuzzy C-Means Clustering for User Profiling in Mobile Networks." In International Conference on Intelligent Computing and Communication, pp. 231-239. Springer, Singapore, 2019.
30. Slokashree Padhi, and S. Panigrahi. "Decision Templates based Ensemble Classifiers for Automobile Insurance Fraud Detection." In 2019 Global Conference for Advancement in Technology (GCAT), pp. 1-5. IEEE, 2019.
31. K. Ashwini, and S. Panigrahi. "A Comparison of Ensemble Classifiers used for Detection of Superimposed Fraud." In 2019 Global Conference for Advancement in Technology (GCAT), pp. 1-5. IEEE, 2019.
32. T. K. Behera and S. Panigrahi, “Credit Card Fraud Detection: A Hybrid Approach Using Fuzzy Clustering and Neural Network”, In Proceedings of the 2nd IEEE International Conference on Advances in Computing & Communication Engineering (ICACCE-2015), pp. 494 – 499, IEEE, Dehradun, India, May 2015 (Published by the IEEE CPS), doi: 10.1109/ICACCE.2015.33, Electronic ISBN: 978-1-4799-1734-1, Print ISBN: 978-1-4799-1733-4.
33. Sushree Bibhuprada B. Priyadarshiniand S. Panigrahi, “A Non-heuristic Approach for Minimizing the Energy and Power Consumption in Wireless Multimedia Sensor Networks”, In Proceedings of 2015 International Conference on Computational Intelligence and Networks (CINE), Published in IEEE Xplore Digital Library, 104-109, Bhubaneswar, 12th-13th Jan. 2015, DOI: 10.1109/CINE.2015.29, Electronic ISBN: 978-1-5090-4307-1, Print on Demand (PoD) ISBN: 978-1-5090-4308-8.
34. Subudhi, Sharmila, Tanmay Kumar Behera, and S. Panigrahi. "Use of OPTICS and Supervised Learning Methods for Database Intrusion Detection." In Computational Intelligence and Networks (CINE), 2017 3rd International Conference on, pp. 78-82. IEEE, 2017, Electronic ISBN: 978-1-5090-4307-1, Print on Demand (PoD) ISBN: 978-1-5090-4308-8.
35. D. Kar, S. Panigrahi and S. Sundararajan, “SQLiDDS: SQL Injection Detection using Query Transformation and Document Similarity”, In Proceedings of the 11th International Conference on Distributed Computing and Internet Technology (ICDCIT-2015), LNCS 8956, Springer, pp. 377–390, Bhubaneswar, India, February 2015, doi: 10. 1007/978-3-319-14977-6_41. Distributed Computing and Internet Technology, Part of the Lecture Notes in Computer Science book series (LNCS, volume 8956), Print ISBN: 978-3-319-14976-9, Online ISBN: 978-3-319-14977-6.
36. Sushree Bibhuprada B. Priyadarshini and S. Panigrahi, “A Distributed Scheme based on Minimum Camera Actuation employing Concentric Hexagonal Scalar Premier Selection for Data Redundancy Minimization”, In Proceedings of the 15th International Conference on Information Technology (ICIT 2016), Bhubaneswar, India, December 2016 (Accepted, indexed and included in IEEE Xplore), Electronic ISBN: 978-1-5090-3584-7, Print on Demand (PoD) ISBN: 978-1-5090-3585-4.
37. Sushree Bibhuprada B. Priyadarshini and S. Panigrahi, “A Distributed Approach based on Maximal Far-Flung Scalar Premier Selection for Camera Actuation”, In Proceedings of the 12th International Conference on Distributed Computing and Internet Technology (ICDCIT-2016), Vol. 9581 of the series Lecture Notes in Computer Science, pp. 87-91, Bhubaneswar, India, January 2016, doi: 10.1007/978-3-319-28034-9_10, Print ISBN: 978-3-319-28033-2, Online ISBN: 978-3-319-28034-9.
38. D. Kar and S. Panigrahi, “Prevention of SQL Injection Attack Using Query Transformation and Hashing”, In Proceedings of the IEEE 3rd International Advance Computing Conference (IACC-2013), Ghaziabad, India, pp. 1317-1323, 2013, doi: 10.1109/iadcc.2013.6514419.
39. Sharmila Subudhi, S. Panigrahi, “Quarter-Sphere Support Vector Machine for Fraud Detection in Mobile Telecommunication Networks”, In Proceedings of the International Conference on Intelligent Computing, Communication & Convergence (ICCC 2014), Procedia Computer Science, vol. 48, pp. 353 - 359 Bhubaneswar, India, 2015, doi:10.1016/j.procs.2015.04.193.
40. S. Panigrahi, A. Kundu, S. Sural and A. K. Majumdar, “Use of Dempster-Shafer Theory and Bayesian Inferencing for Fraud Detection in Mobile Communication Networks”, In: Pieprzyk J., Ghodosi H., Dawson E. (eds) Information Security and Privacy. ACISP 2007. Lecture Notes in Computer Science, vol 4586. Springer, Berlin, Heidelberg, doi: 10.1007/978-3-540-73458-1_32, Print ISBN 978-3-540-73457-4, Online ISBN 978-3-540-73458-1.
41. S. Panigrahi and S. Sural, “Detection of Database Intrusion using a Two-Stage Fuzzy System”, In: Samarati P., Yung M., Martinelli F., Ardagna C.A. (eds) Information Security. ISC 2009. Lecture Notes in Computer Science, vol 5735. Springer, Berlin, Heidelberg doi: 10.1007/978-3-642-04474-8_9, Print ISBN: 978-3-642-04473-1 Online ISBN: 978-3-642-04474-8.
42. S. Panigrahi, S. Sural and A. K. Majumdar, “Detection of Intrusive Activity in Databases by Combining Multiple Evidences and Belief Update”, In Proceedings of the IEEE Symposium on Computational Intelligence in Cyber Security (CICS 2009), Nashville, Tennessee, USA, pp. 83-90, 2009, doi: 10.1109/CICYBS.2009.4925094, Print ISBN: 978-1-4244-2769-7.

Workshops

1. Name of the Course	Duration	Sponsored by	Role and Venue
   Recent Advances in Artificial Intelligence	11th and 12th September, 2020	TEQIP-III	Participated in TEQIP-III Sponsored two days Online Workshop held at Dept. of CSE, VSSUT, Burla
   Internet of Things Devices and Sensor Networks	22nd and 23rd October, 2016	TEQIP-II	Member of Management Committee and Held at Dept. of CSE, IT & CA, VSSUT, Burla
   Ubiquitous Computing	31st January, 2016	TEQIP-II	Member of Management Committee and Held at Dept. of CSE, IT & CA, VSSUT, Burla
   One Week Short Term Course on LATEX	28th Aug. – 1st Sept. 2017	TEQIP-III	Member of STC Management Committee and Held at Dept. of CSE, IT & CA, VSSUT, Burla
   One Week Short Term Course on Soft Computing Techniques for Engineering Problems	3rd – 8th January 2018	TEQIP-III	Participated in TEQIP-III Sponsored One Week Short Term Course held at Dept. of EE & IT, VSSUT, Burla
   4th International Conference on “Computational Intelligence in Data Mining” (ICCIDM 2017), VSSUT, Burla	11 -12 November, 2017	Springer, MCL Burla	Session Chair in the Technical Session “Intelligent Automation Using Optimization Techniques”
   One Day Workshop on Information Security Awareness for College Students and Teachers	16th March, 2013	KIIT University, Bhubaneswar in association with NIT Rourkela and C-DAC Hyderabad	Participated in the One Day Workshop

NIL

1. Munmun Saha, Sanjaya Kumar Panda, and S. Panigrahi. "Distributed computing security: issues and challenges." In Cyber security in parallel and distributed computing: concepts, techniques, applications and case studies, pp. 129-138, Wiley Online Library, 2019.
2. Brahma, Anitarani, and S. Panigrahi. "Application of Soft Computing Techniques in Database Intrusion Detection." In Intelligent Technologies: Concepts, Applications, and Future Directions, pp. 201-221. Singapore: Springer Nature Singapore, 2022.
3. Mishra, Arkashree P., and S. Panigrahi. "Computer-Aided Ensemble Method for Early Diagnosis of Coronary Artery Disease." In Computational Intelligence for Oncology and Neurological Disorders, pp. 253-266. CRC Press, 2025.

1. Internet of Things Devices and Sensor Networks 22nd and 23rd October, 2016 TEQIP-II Member of Management Committee and Held at Dept. of CSE, IT & CA, VSSUT, Burla 2. Ubiquitous Computing 31st January, 2016 TEQIP-II Member of Management Committee and Held at Dept. of CSE, IT & CA, VSSUT, Burla 3. One Week Short Term Course on LATEX 28th Aug. – 1st Sept. 2017 TEQIP-III Member of STC Management Committee and Held at Dept. of CSE, IT & CA, VSSUT, Burla

1. Member of Academic Council, Ex-officio member from Jan. 2021-Dec. 2021, From Jan. 2019 – Aug. 2019 and September 2021 – Till Date as HOD, CSE 2. Member of Board of Studies (BoS) 3. Member of Conducting Board 4. Member of Moderation Board 5. Member of Departmental Academic Committee (DAC) 6. Chairperson, DRC of Ph.D. Scholars of CSE Department 7. Member of DRC of Several Ph.D. Scholars of IT Department 8. Member of the Committee for procuring CCTVs for the University and hostels 9. Member of the Committee for procuring Laptops, Multifunctional Printers and Colour Printer 10. Member of Technical Expert Committee for Secondary Lease Line Internet Connectivity Service 11. Member of E-Learning Committee 12. Member of University Automation Committee 13. Member of Campus Wi-Fi Committee 14. Member of Facility Management Services (FMS) Committee 15. Member of University Canteen Committee 16. Member of Central Store Purchase Committee 17. Member of Selection Committee, Ph.D. Interview 18. Member of Selection Committee, Guest Faculty Interview

• Academic Staff College Orientation Course Attended

  Name of the Course / School	Place	Duration	Sponsoring Agency
  Annual Faculty Development Programme	KIIT University	26.06.2012 To 28.06.2012	KIIT University
  One day Workshop on Information Security Awareness for College Students & Teachers	KIIT University	16.03.2013	KIIT University

• Administrative Experience

• SL.	NAME OF THE ACTIVITIES & RESPONSIBILITY	INSTITUTION	DATE/MONTH/YEAR		TOTAL DURATION
  			FROM	TO
  1	Head of Programme (PG & Ph.D.), Dept. of Computer Science & Engineering	VSSUT, BURLA, SAMBALPUR, ODISHA, INDIA, PIN – 768 018 PH: 0663-2430211 FAX: 0663-2430204 EMAIL: info@vssut.ac.in	14/05/2024	Continuing Till Date	08 months and continuing
  2	Head of Department, Dept. of Computer Science & Engineering		02/09/2021	13/05/2024	02 years 09 months
  			03/01/2019	21/08/2019	08 months
  3	Professor-In-Charge, Central Computing Facility (CCF)		08/12/2017	01/09/2021	03 years 09 months
  4	Hostel Warden, Visakha Hall Of Residence		August 2014	November 2016	2 Years And 03 Months
  5	Vice President (Art & Photography Club)		July 2013	June 2014	1 Year

• C)CONFERENCES/WORKSHOPS ORGANIZED/ATTENDED

  Name of the Course	Duration	Sponsored by	Role and Venue
  Internet of Things Devices and Sensor Networks	22nd and 23rd October, 2016	TEQIP-II	Member of Management Committee and Held at Dept. of CSE, IT & CA, VSSUT, Burla
  Ubiquitous Computing	31st January, 2016	TEQIP-II	Member of Management Committee and Held at Dept. of CSE, IT & CA, VSSUT, Burla
  One Week Short Term Course on LATEX	28th Aug. – 1st Sept. 2017	TEQIP-III	Member of STC Management Committee and Held at Dept. of CSE, IT & CA, VSSUT, Burla
  One Week Short Term Course on Soft Computing Techniques for Engineering Problems	3rd – 8th January 2018	TEQIP-III	Participated in TEQIP-III Sponsored One Week Short Term Course held at Dept. of EE & IT, VSSUT, Burla
  4th International Conference on “Computational Intelligence in Data Mining” (ICCIDM 2017), VSSUT, Burla	11 -12 November, 2017	Springer, MCL Burla	Session Chair in the Technical Session “Intelligent Automation Using Optimization Techniques”
  One Day Workshop on Information Security Awareness for College Students and Teachers	16th March, 2013	KIIT University, Bhubaneswar in association with NIT Rourkela and C-DAC Hyderabad	Participated in the One Day Workshop

Present Address :  F-3R/34, Professor Colony, Veer Surendra Sai University of Technology (Formerly UCE Burla) Burla- 768 018, Sambalpur, Odisha, India

Permanent Address :  Plot No. 155-A, Saila Niwas, Near Mangala Temple, Rasulgarh, Bhubaneswar- 751 010, Odisha, India