Mayank Swarnkar

23 papers B 2Misc 1Journal 11Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
LeakyDroid: A lightweight method for detecting zero-day leaky Android applications using One-Class Graph Neural Networks.
J. Inf. Secur. Appl.
Neha Sharma, Mayank Swarnkar, Shaan Kumar
2025 J jnl
DLAZE: Detecting DNS Tunnels Using Lightweight and Accurate Method for Zero-Day Exploits.
IEEE Trans. Netw. Serv. Manag.
Neha Sharma, Mayank Swarnkar, Divyanshu
2025 J jnl
LNNIDS: A Hybrid Liquid Neural Network based IDS for Known and Unknown IoT Attacks.
ACM Trans. Internet Techn.
Rakesh Kumar, Mayank Swarnkar, Manmeet Muskan
2025 J jnl
QuIDS: A Quantum Support Vector machine-based Intrusion Detection System for IoT networks.
J. Netw. Comput. Appl.
Rakesh Kumar, Mayank Swarnkar
2024 J jnl
BitIoT: A Bit Level Deep Packet Inspection Method for Identification of MQTT-Based IoT Devices in the Wild.
IEEE Trans. Netw. Serv. Manag.
Mayank Swarnkar, Rakesh Kumar
2024 — conf
BruSSH: Early Detection of Distributed Brute Force SSH Attacks Using LSTM.
ANTS
Neha Sharma, Mayank Swarnkar, Md Zuhair
2024 — conf
LNNIoT: A Liquid Neural Network-based Bit-level Method for Classifying IoT Devices.
ANTS
Rakesh Kumar, Mayank Swarnkar, Neha Sharma, Deepika, Manmeet Muskan
2024 — conf
WebWall: Zero-Day Attack Detection in Web Traffic Using Spatial Graph Neural Network.
ANTS
Neha Sharma, Mayank Swarnkar, Biltu Mondal
2023 J jnl
Exploiting Language Relatedness in Machine Translation Through Domain Adaptation Techniques.
CoRR
Amit Kumar, Rupjyoti Baruah, Ajay Pratap, Mayank Swarnkar, Anil Kumar Singh
2023 Misc conf
LiteEx: A Lightweight Feature Extraction Tool for Captured Network Traces.
COMSNETS
Mayank Swarnkar, Rakesh Kumar, Raja Baidyo, Hariharasudhan G
2023 — conf
OptiTuneD: An Optimized Framework for Zero-Day DNS Tunnel Detection Using N-Grams.
ANTS
Neha Sharma, Mayank Swarnkar
2023 J jnl
Temporal feature aggregation with attention for insider threat detection from activity logs.
Expert Syst. Appl.
Preetam Pal, Pratik Chattopadhyay, Mayank Swarnkar
2022 J jnl
IoT Network Traffic Classification Using Machine Learning Algorithms: An Experimental Analysis.
IEEE Internet Things J.
Rakesh Kumar, Mayank Swarnkar, Gaurav Singal, Neeraj Kumar
2020 J jnl
BitProb: Probabilistic Bit Signatures for Accurate Application Identification.
IEEE Trans. Netw. Serv. Manag.
Neminath Hubballi, Mayank Swarnkar, Mauro Conti
2019 J jnl
SpamDetector : Detecting spam callers in Voice over Internet Protocol with graph anomalies.
Secur. Priv.
Mayank Swarnkar, Neminath Hubballi
2018 — conf
AppHunter: Mobile Application Traffic Classification.
ANTS
Mayank Swarnkar, Neminath Hubballi, Nikhil Tripathi, Mauro Conti
2018 — ch.
Architectural Building Protocols for Li-Fi (Light Fidelity).
Emerging Wireless Communication and Network Technologies
Mayank Swarnkar, Robin Singh Bhadoria, Karm Veer Arya
2017 B conf
BitCoding: Protocol Type Agnostic Robust Bit Level Signatures for Traffic Classification.
GLOBECOM
Neminath Hubballi, Mayank Swarnkar
2017 — conf
DNS spoofing in local networks made easy.
ANTS
Nikhil Tripathi, Mayank Swarnkar, Neminath Hubballi
2017 — conf
Security service level agreement measurement in cloud: A proof of concept implementation.
ANTS
Himanshu Dogra, Sudhakar Verma, Neminath Hubballi, Mayank Swarnkar
2016 J jnl
OCPAD: One class Naive Bayes classifier for payload based anomaly detection.
Expert Syst. Appl.
Mayank Swarnkar, Neminath Hubballi
2016 B conf
VoIP Profiler: Profiling Voice over IP User Communication Behavior.
ARES
Sainath Batthala, Mayank Swarnkar, Neminath Hubballi, Maitreya Natu
2015 — conf
Rangegram: A novel payload based anomaly detection technique against web traffic.
IEEE ANTS
Mayank Swarnkar, Neminath Hubballi