Rangegram: A novel payload based anomaly detection technique against web traffic. - Mayank Swarnkar; Neminath Hubballi (IEEE ANTS, 2015)

VoIP Profiler: Profiling Voice over IP User Communication Behavior. - Sainath Batthala; Mayank Swarnkar; Neminath Hubballi; Maitreya Natu (ARES, 2016)

OCPAD: One class Naive Bayes classifier for payload based anomaly detection. - Mayank Swarnkar; Neminath Hubballi (Expert Syst. Appl., 2016)

Security service level agreement measurement in cloud: A proof of concept implementation. - Himanshu Dogra; Sudhakar Verma; Neminath Hubballi; Mayank Swarnkar (ANTS, 2017)

DNS spoofing in local networks made easy. - Nikhil Tripathi; Mayank Swarnkar; Neminath Hubballi (ANTS, 2017)

BitCoding: Protocol Type Agnostic Robust Bit Level Signatures for Traffic Classification. - Neminath Hubballi; Mayank Swarnkar (GLOBECOM, 2017)

Architectural Building Protocols for Li-Fi (Light Fidelity). - Mayank Swarnkar; Robin Singh Bhadoria; Karm Veer Arya (Emerging Wireless Communication and Network Technologies, 2018)

AppHunter: Mobile Application Traffic Classification. - Mayank Swarnkar; Neminath Hubballi; Nikhil Tripathi; Mauro Conti (ANTS, 2018)

RDClass: on using relative distance of keywords for accurate network traffic classification. - Mayank Swarnkar; Neminath Hubballi (IET Networks, 2018)

BitCoding: Network Traffic Classification Through Encoded Bit Level Signatures. - Neminath Hubballi; Mayank Swarnkar (IEEE/ACM Trans. Netw., 2018)

SpamDetector : Detecting spam callers in Voice over Internet Protocol with graph anomalies. - Mayank Swarnkar; Neminath Hubballi (Secur. Priv., 2019)

BitProb: Probabilistic Bit Signatures for Accurate Application Identification. - Neminath Hubballi; Mayank Swarnkar; Mauro Conti (IEEE Trans. Netw. Serv. Manag., 2020)

IoT Network Traffic Classification Using Machine Learning Algorithms: An Experimental Analysis. - Rakesh Kumar; Mayank Swarnkar; Gaurav Singal; Neeraj Kumar 001 (IEEE Internet Things J., 2022)

OptiTuneD: An Optimized Framework for Zero-Day DNS Tunnel Detection Using N-Grams. - Neha Sharma 007; Mayank Swarnkar (ANTS, 2023)

LiteEx: A Lightweight Feature Extraction Tool for Captured Network Traces. - Mayank Swarnkar; Rakesh Kumar; Raja Baidyo; Hariharasudhan G (COMSNETS, 2023)

Exploiting Language Relatedness in Machine Translation Through Domain Adaptation Techniques. - Amit Kumar 029; Rupjyoti Baruah; Ajay Pratap; Mayank Swarnkar; Anil Kumar Singh 001 (CoRR, 2023)

Temporal feature aggregation with attention for insider threat detection from activity logs. - Preetam Pal; Pratik Chattopadhyay; Mayank Swarnkar (Expert Syst. Appl., 2023)

LNNIoT: A Liquid Neural Network-based Bit-level Method for Classifying IoT Devices. - Rakesh Kumar; Mayank Swarnkar; Neha Sharma 007; Deepika 006; Manmeet Muskan (ANTS, 2024)

WebWall: Zero-Day Attack Detection in Web Traffic Using Spatial Graph Neural Network. - Neha Sharma 007; Mayank Swarnkar; Biltu Mondal (ANTS, 2024)

BruSSH: Early Detection of Distributed Brute Force SSH Attacks Using LSTM. - Neha Sharma 007; Mayank Swarnkar; Md Zuhair (ANTS, 2024)

OptiClass: An Optimized Classifier for Application Layer Protocols Using Bit Level Signatures. - Mayank Swarnkar; Neha Sharma 007 (ACM Trans. Priv. Secur., 2024)

BitIoT: A Bit Level Deep Packet Inspection Method for Identification of MQTT-Based IoT Devices in the Wild. - Mayank Swarnkar; Rakesh Kumar (IEEE Trans. Netw. Serv. Manag., 2024)

QuIDS: A Quantum Support Vector machine-based Intrusion Detection System for IoT networks. - Rakesh Kumar; Mayank Swarnkar (J. Netw. Comput. Appl., 2025)

DLAZE: Detecting DNS Tunnels Using Lightweight and Accurate Method for Zero-Day Exploits. - Neha Sharma 007; Mayank Swarnkar; Divyanshu (IEEE Trans. Netw. Serv. Manag., 2025)