| OCPAD: One class Naive Bayes classifier for payload based anomaly detection M Swarnkar, N Hubballi Expert Systems with Applications 64, 330-339, 2016 | 118 | 2016 |
| IoT network traffic classification using machine learning algorithms: An experimental analysis R Kumar, M Swarnkar, G Singal, N Kumar IEEE Internet of Things Journal 9 (2), 989-1008, 2021 | 74 | 2021 |
| $ Bitcoding $: Network traffic classification through encoded bit level signatures N Hubballi, M Swarnkar IEEE/ACM Transactions on Networking 26 (5), 2334-2346, 2018 | 49 | 2018 |
| DNS spoofing in local networks made easy N Tripathi, M Swarnkar, N Hubballi 2017 IEEE International Conference on Advanced Networks and …, 2017 | 27 | 2017 |
| BitProb: Probabilistic bit signatures for accurate application identification N Hubballi, M Swarnkar, M Conti IEEE Transactions on Network and Service Management 17 (3), 1730-1741, 2020 | 23 | 2020 |
| Temporal feature aggregation with attention for insider threat detection from activity logs P Pal, P Chattopadhyay, M Swarnkar Expert Systems with Applications 224, 119925, 2023 | 22 | 2023 |
| Security, privacy, trust management and performance optimization of blockchain technology M Swarnkar, RS Bhadoria, N Sharma Applications of Blockchain in Healthcare, 69-92, 2021 | 17 | 2021 |
| Rangegram: A novel payload based anomaly detection technique against web traffic M Swarnkar, N Hubballi 2015 IEEE International Conference on Advanced Networks and …, 2015 | 15 | 2015 |
| On the design of supervised binary classifiers for malware detection using portable executable files H Shukla, S Patil, D Solanki, L Singh, M Swarnkar, HK Thakkar 2019 IEEE 9th International Conference on Advanced Computing (IACC), 141-146, 2019 | 13 | 2019 |
| RDClass: on using relative distance of keywords for accurate network traffic classification M Swarnkar, N Hubballi Iet Networks 7 (4), 273-279, 2018 | 9 | 2018 |
| VoIP profiler: profiling voice over IP user communication behavior S Batthalla, M Swarnkar, N Hubballi, M Natu 2016 11th International Conference on Availability, Reliability and Security …, 2016 | 8 | 2016 |
| Security aspects in utility computing M Swarnkar, RS Bhadoria Emerging Research Surrounding Power Consumption and Performance Issues in …, 2016 | 8 | 2016 |
| SpamDetector: Detecting spam callers in Voice over Internet Protocol with graph anomalies M Swarnkar, N Hubballi Security and Privacy 2 (1), e54, 2019 | 7 | 2019 |
| Bitcoding: Protocol type agnostic robust bit level signatures for traffic classification N Hubballi, M Swarnkar GLOBECOM 2017-2017 IEEE Global Communications Conference, 1-6, 2017 | 7 | 2017 |
| Security issues and challenges in big data analytics in distributed environment M Swarnkar, RS Bhadoria Distributed Computing in Big Data Analytics: Concepts, Technologies and …, 2017 | 6 | 2017 |
| Malicious URL detection using machine learning M Swarnkar, N Sharma, H Kumar Thakkar Predictive Data Security using AI: Insights and Issues of Blockchain, IoT …, 2022 | 5 | 2022 |
| Architectural building protocols for Li-Fi (light fidelity) M Swarnkar, RS Bhadoria, KV Arya Emerging Wireless Communication and Network Technologies: Principle …, 2018 | 5 | 2018 |
| Artificial Intelligence for Intrusion Detection Systems M Swarnkar, SS Rajput CRC Press, 2023 | 4 | 2023 |
| BitIoT: A Bit Level Deep Packet Inspection Method for Identification of MQTT-Based IoT Devices in the Wild M Swarnkar, R Kumar IEEE Transactions on Network and Service Management, 2024 | 3 | 2024 |
| Security service level agreement measurement in cloud: A proof of concept implementation H Dogra, S Verma, N Hubballi, M Swarnkar 2017 IEEE International Conference on Advanced Networks and …, 2017 | 3 | 2017 |