Journal Papers:

1. M. Swarnkar, R. Kumar, "BitIoT: A Bit Level Deep Packet Inspection Method for Identification of MQTT-based IoT Devices in the Wild", IEEE Transactions on Network and Service Management, 2024, pp. 2866-2875.

2. M. Swarnkar, N. Sharma, "OptiClass: An Optimized Classifier for Application Layer Protocols Using Bit Level Signatures", ACM Transactions on Privacy and Security, 2024, pp 1-23

3. P. Pal, P. Chattopadhyay, M. Swarnkar, "Temporal Feature Aggregation with Attention for Insider Threat Detection from Activity Logs", Expert Systems with Applications, 2023, pp. 1-56

4. R. Kumar, M. Swarnkar, G. Singal, N. Kumar, "IoT Network Traffic Classification using Machine Learning Algorithms: An Experimental Analysis", IEEE Internet of Things, 2021, pp. 1-23.

5. N.Hubballi, M. Swarnkar, M.Conti, "BitProb: Probabilistic Bit-Level Signatures for Accurate Network Traffic Classification", IEEE Transaction on Network and Service Management, 2020, pp. 1730-1747.

6. M. Swarnkar, N.Hubballi, "SpamDetector: Detecting Spam Callers in VoIP with Graph Anomalies", Security and Privacy, Wiley, 2018, pp. 1-18.

7. N. Hubballi, M. Swarnkar, "BitCoding: Network Traffic Classification through Encoded Bit Level Signatures", IEEE/ACM Transaction on Networking, 2018, pp. 2334-2346.

8. M. Swarnkar, N. Hubballi, "RDClass: On Using Relative Distance of Keywords for Accurate Network Traffic Classification", IET Networks, 2018, pp. 273-279.

9. M. Swarnkar, N. Hubballi, OCPAD: One Class Naive Bayes Classifier for Payload based Anomaly Detection, Expert Systems with Applications, Elsevier, pp 330-339.

Conference Papers:

1. N. Sharma, M. Swarnkar, " OptiTuneD: An Optimized Framework for Zero-Day DNS Tunnel Detection Using N-Grams", in Proceedings of 17th IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS'23), Jaipur, 2023, pp. 1-6 

2. M. Swarnkar, R. Kumar, R. Baidyo, G. Hariharasudan, "LiteEx: A Lightweight Feature Extraction Tool for Captured Network Traces" in Proceedings of the 15th IEEE Conference on Communication Systems and Networks (COMSNETS'23), Bangalore, 2023, pp. 243-251.

3. H. Shukla, S. Patil, D. Solanki, L. Singh, M. Swarnkar, H. Thakkar, "On the Design of Supervised Binary Classifiers for Malware Detection Using Portable Executable Files", in Proceedings of the 9th IEEE International Conference on Advanced Computing (IACC'19), Tiruchirapalli, 2019, pp. 141-146.

4. M. Swarnkar, N.Tripathi, N.Hubballi, M.Conti, "AppHunter: Mobile Application Classification", in Proceedings of 12th IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS'18), Indore, 2018, pp. 1-6.

5. N.Tripathi, M.Swarnkar, N.Hubballi, "DNS Spoofing in Local Networks Made Easy", in Proceedings of 11th IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS'17), Bhubaneswar, 2017, pp. 1-6.

6. H.Dogra, S. Verma, N.Hubballi, M.Swarnkar, "Security Service Level Agreement Measurement in Cloud", in Proceedings of 11th IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS'17), Bhubaneswar, 2017, pp. 1-6.

7. N. Hubballi, M. Swarnkar, "BitCoding: Protocol Type Agnostic Robust Bit Level Signatures for Traffic Classification", in Proceedings of 36th IEEE Global Communication Conference (GLOBECOM'17), Singapore, 2017, pp. 1-6.

8. S. Batthala, M. Swarnkar, N. Hubballi, M. Natu, "VoIP Profiler: Pro ling Voice Over IP User Communication Behavior," in Proceedings of 9th International Conference on Availability, Reliability, .and Security (ARES'16), Salzburg, 2016, pp. 1-6.

9. M. Swarnkar, N. Hubballi, "Rangegram: A Novel Payload based Anomaly Detection Technique against Web Traffic," in Proceedings of 9th IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS'15), Kolkata, 2015, pp. 1-6.

Book Chapters:

1. M. Swarnkar, N. Sharma, H.K. Thakkar, "Malicious URL Detection Using Machine Learning", In Predictive Data Security using AI: Insights and Issues of Blockchain, IoT and DevOps, Springer, 2023, pp. 199-216.

2. M. Swarnkar, R.S. Bhadoria, N. Sharma, "Security, Privacy, Trust Management and Performance Optimization of Blockchain Technology", In Applications of Blockchain in Healthcare, Springer, 2021, pp. 69-92. 

3. M. Swarnkar, R.S. Bhadoria, K.V. Arya, "Architectural Building Protocols for Li-Fi (Light Fidelity)", In Emerging Wireless Communication and Network Technologies, Springer, 2018, pp. 127-137.

4. M. Swarnkar, R.S. Bhadoria, "Security Issues and Challenges in Big Data Analytics in Distributed Environment", In Distributed Computing in Big Data Analytics. Scalable Computing and Communications. Springer, 2017, pp. 83-94.

5. M. Swarnkar, R.S. Bhadoria, "Security Aspects in Utility Computing", In Emerging Research Surrounding Power Consumption and Performance Issues in Utility Computing. IGI Global, 2016, pp. 262-275.

6. M. Swarnkar, R.S. Bhadoria, "Big Data Analysis in Cyber-Physical Systems", In Cyber-Physical Systems: A Computational Perspective, CRC Press, Taylor & Francis, 2015, pp. 508-533.

Books:

1. M. Swarnkar, S. S. Rajput, "Artificial Intelligence for Intrusion Detection System", CRC Press, Tyler and Francis, 2023. 

2. H. Thakkar, M. Swarnkar, R. S. Bhadoria, "Predictive Data Security using AI: Insights and Issues of Blockchain, IoT and DevOps", In Studies in Computational Intelligence, Springer, 2023

Patents:

1. G. Singal, M. Swarnkar, S. Gupta, D. Garg, R. Kumar, V. Srivastava, "Network Device Classifier for Internet of Things Network", Indian Patent: 202111055728, 2022

2. H. Shukla, M. Swarnkar, H. Thakkar, "A Method and Apparatus for Detection of Malware in Executables using PE Files", Indian Patent: 201921054366, 2020

Membership: 

1. IEEE

2. ACM

Certifications: 

1. Cisco Certified Network Associate - Switching and Routing

2. IBM DB2 Associate

3. IBM Tivoli WebSphere - Tivoli 6.0

4. IBM Rational Application Developer