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Mahinthan Chandramohan
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Books and Theses
- 2018
- [b1]Mahinthan Chandramohan:
Scalable analysis for malware and vulnerability detection in binaries. Nanyang Technological University, Singapore, 2018
Journal Articles
- 2023
- [j8]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: 200280 (2023) - 2021
- [j7]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): 1088 (2021) - 2019
- [j6]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): 1125-1149 (2019) - 2018
- [j5]Sanjeev Das
, Bihuan Chen, Mahinthan Chandramohan, Yang Liu
, Wei Zhang:
ROPSentry: Runtime defense against ROP attacks using hardware performance counters. Comput. Secur. 73: 374-388 (2018) - [j4]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): 1222-1274 (2018) - 2017
- [j3]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): 157-175 (2017) - 2016
- [j2]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): 289-302 (2016) - 2012
- [j1]Mahinthan Chandramohan, Hee Beng Kuan Tan:
Detection of Mobile Malware in the Wild. Computer 45(9): 65-71 (2012)
Conference and Workshop Papers
- 2017
- [c14]Zhengzi Xu, Bihuan Chen, Mahinthan Chandramohan, Yang Liu
, Fu Song:
SPAIN: security patch analysis for binaries towards understanding the pain and pills. ICSE 2017: 462-472 - [c13]Yuekang Li
, Bihuan Chen, Mahinthan Chandramohan, Shang-Wei Lin
, Yang Liu
, Alwen Tiu:
Steelix: program-state based binary fuzzing. ESEC/SIGSOFT FSE 2017: 627-637 - 2016
- [c12]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: 365-376 - [c11]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: 678-689 - 2015
- [c10]Jianye Hao, Yinxing Xue, Mahinthan Chandramohan, Yang Liu
, Jun Sun
:
An Adaptive Markov Strategy for Effective Network Intrusion Detection. ICTAI 2015: 1085-1092 - [c9]Yinxing Xue, Junjie Wang, Yang Liu
, Hao Xiao, Jun Sun
, Mahinthan Chandramohan:
Detection and classification of malicious JavaScript via attack behavior modelling. ISSTA 2015: 48-59 - 2013
- [c8]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: 312-322 - 2012
- [c7]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: 559-564 - [c6]Mahinthan Chandramohan, Hee Beng Kuan Tan, Lwin Khin Shar
:
Scalable malware clustering through coarse-grained behavior modeling. SIGSOFT FSE 2012: 27 - [c5]Kaiping Liu, Hee Beng Kuan Tan, Mahinthan Chandramohan:
Has this bug been reported? SIGSOFT FSE 2012: 28 - 2011
- [c4]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: 1321-1322 - 2010
- [c3]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: 1-8 - [c2]James Decraene, Mahinthan Chandramohan, Malcolm Yoke Hean Low
, Chwee Seng Choo:
Evolvable simulations applied to Automated Red Teaming: A preliminary study. WSC 2010: 1444-1455 - 2009
- [c1]Malcolm Yoke Hean Low
, Mahinthan Chandramohan, Chwee Seng Choo:
Application of Multi-objective Bee Colony Optimization Algorithm to Automated Red Teaming. WSC 2009: 1798-1808
Informal and Other Publications
- 2024
- [i5]Mahinthan Chandramohan, Dai Quoc Nguyen, Padmanabhan Krishnan, Jovan Jancic:
Supporting Cross-language Cross-project Bug Localization Using Pre-trained Language Models. CoRR abs/2407.02732 (2024) - 2017
- [i4]Annamalai Narayanan, Mahinthan Chandramohan, Lihui Chen, Yang Liu:
A Multi-view Context-aware Approach to Android Malware Detection and Malicious Code Localization. CoRR abs/1704.01759 (2017) - [i3]Annamalai Narayanan, Mahinthan Chandramohan, Lihui Chen, Yang Liu:
Context-aware, Adaptive and Scalable Android Malware Detection through Online Learning (extended version). CoRR abs/1706.00947 (2017) - [i2]Annamalai Narayanan, Mahinthan Chandramohan, Rajasekar Venkatesan, Lihui Chen, Yang Liu, Shantanu Jaiswal:
graph2vec: Learning Distributed Representations of Graphs. CoRR abs/1707.05005 (2017) - 2016
- [i1]Annamalai Narayanan, Mahinthan Chandramohan, Lihui Chen, Yang Liu, Santhoshkumar Saminathan:
subgraph2vec: Learning Distributed Representations of Rooted Sub-graphs from Large Graphs. CoRR abs/1606.08928 (2016)
Coauthor Index
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