Mahinthan Chandramohan

According to our database, Mahinthan Chandramohan authored at least 27 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Supporting Cross-language Cross-project Bug Localization Using Pre-trained Language Models.

Mahinthan Chandramohan, Dai Quoc Nguyen, Padmanabhan Krishnan, Jovan Jancic

CoRR, 2024

2023

Exploring topic models to discern cyber threats on Twitter: A case study on Log4Shell.

Yue Wang, Md. Abul Bashar, Mahinthan Chandramohan, Richi Nayak

Intell. Syst. Appl., November, 2023

2021

Erratum to "Accurate and Scalable Cross-Architecture Cross-OS Binary Code Search With Emulation".

Yinxing Xue, Zhengzi Xu, Mahinthan Chandramohan, Yang Liu

IEEE Trans. Software Eng., 2021

2019

Accurate and Scalable Cross-Architecture Cross-OS Binary Code Search with Emulation.

Yinxing Xue, Zhengzi Xu, Mahinthan Chandramohan, Yang Liu

IEEE Trans. Software Eng., 2019

2018

Scalable analysis for malware and vulnerability detection in binaries

Mahinthan Chandramohan

PhD thesis, 2018

A multi-view context-aware approach to Android malware detection and malicious code localization.

Annamalai Narayanan, Mahinthan Chandramohan, Lihui Chen, Yang Liu

Empir. Softw. Eng., 2018

ROPSentry: Runtime defense against ROP attacks using hardware performance counters.

Sanjeev Das, Bihuan Chen, Mahinthan Chandramohan, Yang Liu, Wei Zhang

Comput. Secur., 2018

2017

Context-Aware, Adaptive, and Scalable Android Malware Detection Through Online Learning.

Annamalai Narayanan, Mahinthan Chandramohan, Lihui Chen, Yang Liu

IEEE Trans. Emerg. Top. Comput. Intell., 2017

graph2vec: Learning Distributed Representations of Graphs.

Annamalai Narayanan, Mahinthan Chandramohan, Rajasekar Venkatesan, Lihui Chen, Yang Liu, Shantanu Jaiswal

CoRR, 2017

Context-aware, Adaptive and Scalable Android Malware Detection through Online Learning (extended version).

Annamalai Narayanan, Mahinthan Chandramohan, Lihui Chen, Yang Liu

CoRR, 2017

Steelix: program-state based binary fuzzing.

Yuekang Li, Bihuan Chen, Mahinthan Chandramohan, Shang-Wei Lin, Yang Liu, Alwen Tiu

Proceedings of the 2017 11th Joint Meeting on Foundations of Software Engineering, 2017

SPAIN: security patch analysis for binaries towards understanding the pain and pills.

Zhengzi Xu, Bihuan Chen, Mahinthan Chandramohan, Yang Liu, Fu Song

Proceedings of the 39th International Conference on Software Engineering, 2017

2016

Semantics-Based Online Malware Detection: Towards Efficient Real-Time Protection Against Malware.

Sanjeev Das, Yang Liu, Wei Zhang, Mahinthan Chandramohan

IEEE Trans. Inf. Forensics Secur., 2016

subgraph2vec: Learning Distributed Representations of Rooted Sub-graphs from Large Graphs.

Annamalai Narayanan, Mahinthan Chandramohan, Lihui Chen, Yang Liu, Santhoshkumar Saminathan

CoRR, 2016

BinGo: cross-architecture cross-OS binary search.

Mahinthan Chandramohan, Yinxing Xue, Zhengzi Xu, Yang Liu, Chia Yuan Cho, Hee Beng Kuan Tan

Proceedings of the 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering, 2016

Mystique: Evolving Android Malware for Auditing Anti-Malware Tools.

Guozhu Meng, Yinxing Xue, Mahinthan Chandramohan, Annamalai Narayanan, Yang Liu, Jie Zhang, Tieming Chen

Proceedings of the 11th ACM on Asia Conference on Computer and Communications Security, 2016

2015

Detection and classification of malicious JavaScript via attack behavior modelling.

Yinxing Xue, Junjie Wang, Yang Liu, Hao Xiao, Jun Sun, Mahinthan Chandramohan

Proceedings of the 2015 International Symposium on Software Testing and Analysis, 2015

An Adaptive Markov Strategy for Effective Network Intrusion Detection.

Jianye Hao, Yinxing Xue, Mahinthan Chandramohan, Yang Liu, Jun Sun

Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015

2013

A scalable approach for malware detection through bounded feature space behavior modeling.

Mahinthan Chandramohan, Hee Beng Kuan Tan, Lionel C. Briand, Lwin Khin Shar, Bindu Madhavi Padmanabhuni

Proceedings of the 2013 28th IEEE/ACM International Conference on Automated Software Engineering, 2013

2012

Detection of Mobile Malware in the Wild.

Mahinthan Chandramohan, Hee Beng Kuan Tan

Computer, 2012

Has this bug been reported?

Kaiping Liu, Hee Beng Kuan Tan, Mahinthan Chandramohan

Proceedings of the 20th ACM SIGSOFT Symposium on the Foundations of Software Engineering (FSE-20), 2012

Scalable malware clustering through coarse-grained behavior modeling.

Mahinthan Chandramohan, Hee Beng Kuan Tan, Lwin Khin Shar

Proceedings of the 20th ACM SIGSOFT Symposium on the Foundations of Software Engineering (FSE-20), 2012

Detection of Buffer Overflow Vulnerabilities in C/C++ with Pattern Based Limited Symbolic Evaluation.

Sun Ding, Hee Beng Kuan Tan, Kaiping Liu, Mahinthan Chandramohan, Hongyu Zhang

Proceedings of the 36th Annual IEEE Computer Software and Applications Conference Workshops, 2012

2011

Evolutionary design of agent-based simulation experiments.

James Decraene, Yew Ti Lee, Fanchao Zeng, Mahinthan Chandramohan, Yong Yong Cheng, Malcolm Yoke Hean Low

Proceedings of the 10th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2011), 2011

2010

Evolvable simulations applied to Automated Red Teaming: A preliminary study.

James Decraene, Mahinthan Chandramohan, Malcolm Yoke Hean Low, Chwee Seng Choo

Proceedings of the 2010 Winter Simulation Conference, 2010

Autonomous Bee Colony Optimization for multi-objective function.

Fanchao Zeng, James Decraene, Malcolm Yoke Hean Low, Philip Hingston, Wentong Cai, Suiping Zhou, Mahinthan Chandramohan

Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009

Application of Multi-objective Bee Colony Optimization Algorithm to Automated Red Teaming.

Malcolm Yoke Hean Low, Mahinthan Chandramohan, Chwee Seng Choo

Proceedings of the 2009 Winter Simulation Conference, 2009