Mahinthan Chandramohan

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 16

Top Topics

Intrusion Detection

Distributed Representations

Malware Detection

Top Venues

IEEE Trans. Software Eng.

IEEE Trans. Emerg. Top. Comput. Intell.

Publications

Mahinthan Chandramohan, Dai Quoc Nguyen, Padmanabhan Krishnan, Jovan Jancic
Supporting Cross-language Cross-project Bug Localization Using Pre-trained Language Models. CoRR (2024)
Yue Wang, Md. Abul Bashar, Mahinthan Chandramohan, Richi Nayak
Exploring topic models to discern cyber threats on Twitter: A case study on Log4Shell. Intell. Syst. Appl. 20 (2023)
Yinxing Xue, Zhengzi Xu, Mahinthan Chandramohan, Yang Liu
Erratum to "Accurate and Scalable Cross-Architecture Cross-OS Binary Code Search With Emulation". IEEE Trans. Software Eng. 47 (5) (2021)
Yinxing Xue, Zhengzi Xu, Mahinthan Chandramohan, Yang Liu
Accurate and Scalable Cross-Architecture Cross-OS Binary Code Search with Emulation. IEEE Trans. Software Eng. 45 (11) (2019)
Annamalai Narayanan, Mahinthan Chandramohan, Lihui Chen, Yang Liu
A multi-view context-aware approach to Android malware detection and malicious code localization. Empir. Softw. Eng. 23 (3) (2018)
Sanjeev Das, Bihuan Chen, Mahinthan Chandramohan, Yang Liu, Wei Zhang
ROPSentry: Runtime defense against ROP attacks using hardware performance counters. Comput. Secur. 73 (2018)
Annamalai Narayanan, Mahinthan Chandramohan, Lihui Chen, Yang Liu
Context-Aware, Adaptive, and Scalable Android Malware Detection Through Online Learning. IEEE Trans. Emerg. Top. Comput. Intell. 1 (3) (2017)
Annamalai Narayanan, Mahinthan Chandramohan, Lihui Chen, Yang Liu
A Multi-view Context-aware Approach to Android Malware Detection and Malicious Code Localization. CoRR (2017)
Annamalai Narayanan, Mahinthan Chandramohan, Lihui Chen, Yang Liu
Context-aware, Adaptive and Scalable Android Malware Detection through Online Learning (extended version). CoRR (2017)
Annamalai Narayanan, Mahinthan Chandramohan, Rajasekar Venkatesan, Lihui Chen, Yang Liu, Shantanu Jaiswal
graph2vec: Learning Distributed Representations of Graphs. CoRR (2017)
Yuekang Li, Bihuan Chen, Mahinthan Chandramohan, Shang-Wei Lin, Yang Liu, Alwen Tiu
Steelix: program-state based binary fuzzing. ESEC/SIGSOFT FSE (2017)
Zhengzi Xu, Bihuan Chen, Mahinthan Chandramohan, Yang Liu, Fu Song
SPAIN: security patch analysis for binaries towards understanding the pain and pills. ICSE (2017)
Mahinthan Chandramohan, Yinxing Xue, Zhengzi Xu, Yang Liu, Chia Yuan Cho, Hee Beng Kuan Tan
BinGo: cross-architecture cross-OS binary search. SIGSOFT FSE (2016)
Sanjeev Das, Yang Liu, Wei Zhang, Mahinthan Chandramohan
Semantics-Based Online Malware Detection: Towards Efficient Real-Time Protection Against Malware. IEEE Trans. Inf. Forensics Secur. 11 (2) (2016)
Annamalai Narayanan, Mahinthan Chandramohan, Lihui Chen, Yang Liu, Santhoshkumar Saminathan
subgraph2vec: Learning Distributed Representations of Rooted Sub-graphs from Large Graphs. CoRR (2016)
Guozhu Meng, Yinxing Xue, Mahinthan Chandramohan, Annamalai Narayanan, Yang Liu, Jie Zhang, Tieming Chen
Mystique: Evolving Android Malware for Auditing Anti-Malware Tools. AsiaCCS (2016)
Jianye Hao, Yinxing Xue, Mahinthan Chandramohan, Yang Liu, Jun Sun
An Adaptive Markov Strategy for Effective Network Intrusion Detection. ICTAI (2015)
Yinxing Xue, Junjie Wang, Yang Liu, Hao Xiao, Jun Sun, Mahinthan Chandramohan
Detection and classification of malicious JavaScript via attack behavior modelling. ISSTA (2015)
Mahinthan Chandramohan, Hee Beng Kuan Tan, Lionel C. Briand, Lwin Khin Shar, Bindu Madhavi Padmanabhuni
A scalable approach for malware detection through bounded feature space behavior modeling. ASE (2013)
Sun Ding, Hee Beng Kuan Tan, Kaiping Liu, Mahinthan Chandramohan, Hongyu Zhang
Detection of Buffer Overflow Vulnerabilities in C/C++ with Pattern Based Limited Symbolic Evaluation. COMPSAC Workshops (2012)
Kaiping Liu, Hee Beng Kuan Tan, Mahinthan Chandramohan
Has this bug been reported? SIGSOFT FSE (2012)
Mahinthan Chandramohan, Hee Beng Kuan Tan
Detection of Mobile Malware in the Wild. Computer 45 (9) (2012)
Mahinthan Chandramohan, Hee Beng Kuan Tan, Lwin Khin Shar
Scalable malware clustering through coarse-grained behavior modeling. SIGSOFT FSE (2012)
James Decraene, Yew Ti Lee, Fanchao Zeng, Mahinthan Chandramohan, Yong Yong Cheng, Malcolm Yoke Hean Low
Evolutionary design of agent-based simulation experiments. AAMAS (2011)
Fanchao Zeng, James Decraene, Malcolm Yoke Hean Low, Philip Hingston, Wentong Cai, Suiping Zhou, Mahinthan Chandramohan
Autonomous Bee Colony Optimization for multi-objective function. IEEE Congress on Evolutionary Computation (2010)
James Decraene, Mahinthan Chandramohan, Malcolm Yoke Hean Low, Chwee Seng Choo
Evolvable simulations applied to Automated Red Teaming: A preliminary study. WSC (2010)
Malcolm Yoke Hean Low, Mahinthan Chandramohan, Chwee Seng Choo
Application of Multi-objective Bee Colony Optimization Algorithm to Automated Red Teaming. WSC (2009)