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Mahin Chandramohan

Oracle Labs
Researchers

Mahin Chandramohan

Principal Researcher

Mahin Chandramohan

Mahin Chandramohan is leading the machine learning efforts in Intelligent Application Security group at Oracle Labs, Australia.

His research areas of interest include:

• Open Source Intelligence (OSINT)
• Threat intelligence
• Malware analysis and binary reverse engineering
• Machine learning for program analysis and bug detection (MLonCode).

Education:

* PhD in Computer Science, Nanyang Technological University, Singapore

* B.Eng. in Computer Engineering, Nanyang Technological University, Singapore

Publications

Article

ColdPress: An Extensible Malware Analysis Platform for Threat Intelligence

Haoxi Tan, Chandramohan, Mahin, Cifuentes, Cristina, Guangdong Bai, Ryan K. L. Ko

In Proceedings

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

Yinxing Xue, Zhengzi Xu, Mahinthan Chandramohan, Yang Liu 0003

In Proceedings

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

Sanjeev Das, Bihuan Chen 0001, Mahinthan Chandramohan, Yang Liu 0003, Wei Zhang 0012

In Proceedings

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

Annamalai Narayanan, Mahinthan Chandramohan, Lihui Chen, Yang Liu 0003

In Proceedings

Steelix - program-state based binary fuzzing.

Yuekang Li, Bihuan Chen 0001, Mahinthan Chandramohan, Shang-Wei Lin, Yang Liu 0003, Alwen Tiu

In Proceedings

A Multi-view Context-aware Approach to Android Malware Detection and Malicious Code Localization.

Annamalai Narayanan, Mahinthan Chandramohan, Lihui Chen, Yang Liu 0003

In Proceedings

graph2vec - Learning Distributed Representations of Graphs.

Annamalai Narayanan, Mahinthan Chandramohan, Rajasekar Venkatesan, Lihui Chen, Yang Liu 0003, Shantanu Jaiswal

In Proceedings

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

Annamalai Narayanan, Mahinthan Chandramohan, Lihui Chen, Yang Liu 0003

In Proceedings

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

Zhengzi Xu, Bihuan Chen 0001, Mahinthan Chandramohan, Yang Liu 0003, Fu Song

In Proceedings

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

Annamalai Narayanan, Mahinthan Chandramohan, Lihui Chen, Yang Liu 0003

In Proceedings

BinGo - cross-architecture cross-OS binary search.

Mahinthan Chandramohan, Yinxing Xue, Zhengzi Xu, Yang Liu 0003, Chia Yuan Cho, Hee Beng Kuan Tan

In Proceedings

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

Sanjeev Das, Yang Liu 0003, Wei Zhang 0012, Mahinthan Chandramohan

In Proceedings

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

Annamalai Narayanan, Mahinthan Chandramohan, Lihui Chen, Yang Liu 0003, Santhoshkumar Saminathan

In Proceedings

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

Guozhu Meng, Yinxing Xue, Mahinthan Chandramohan, Annamalai Narayanan, Yang Liu 0003, Jie Zhang 0002, Tieming Chen

In Proceedings

Detection and classification of malicious JavaScript via attack behavior modelling.

Yinxing Xue, Junjie Wang 0007, Yang Liu 0003, Hao Xiao, Jun Sun 0001, Mahinthan Chandramohan

In Proceedings

An Adaptive Markov Strategy for Effective Network Intrusion Detection.

Jianye Hao, Yinxing Xue, Mahinthan Chandramohan, Yang Liu 0003, Jun Sun 0001

In Proceedings

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

In Proceedings

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 0002

In Proceedings

Detection of Mobile Malware in the Wild.

Mahinthan Chandramohan, Hee Beng Kuan Tan

In Proceedings

Scalable malware clustering through coarse-grained behavior modeling.

Mahinthan Chandramohan, Hee Beng Kuan Tan, Lwin Khin Shar

In Proceedings

Has this bug been reported?

Kaiping Liu, Hee Beng Kuan Tan, Mahinthan Chandramohan

In Proceedings

Evolutionary design of agent-based simulation experiments.

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

In Proceedings

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

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

In Proceedings

Autonomous Bee Colony Optimization for multi-objective function.

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

In Proceedings

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

Malcolm Yoke-Hean Low, Mahinthan Chandramohan, Chwee Seng Choo