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ORCIDMahinthan Chandramohan
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2020 – today
- 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)- 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)
2010 – 2019
- 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
- [b1]Mahinthan Chandramohan:
Scalable analysis for malware and vulnerability detection in binaries. Nanyang Technological University, Singapore, 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) - [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 - [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
- [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) - [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 - [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) - 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
- [j1]Mahinthan Chandramohan, Hee Beng Kuan Tan:
Detection of Mobile Malware in the Wild. Computer 45(9): 65-71 (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
2000 – 2009
- 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
Coauthor Index
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