Annamalai Narayanan

According to our database, Annamalai Narayanan authored at least 14 papers between 2014 and 2019.

Collaborative distances:

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

2019

Employee profiling via aspect-based sentiment and network for insider threats detection.

Charlie Soh, Sicheng Yu, Annamalai Narayanan, Santhiya Duraisamy, Lihui Chen

Expert Syst. Appl., 2019

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

Apk2vec: Semi-Supervised Multi-view Representation Learning for Profiling Android Applications.

Annamalai Narayanan, Charlie Soh, Lihui Chen, Yang Liu, Lipo Wang

Proceedings of the IEEE International Conference on Data Mining, 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

AndroVault: Constructing Knowledge Graph from Millions of Android Apps for Automated Analysis.

Guozhu Meng, Yinxing Xue, Jing Kai Siow, Ting Su, Annamalai Narayanan, Yang Liu

CoRR, 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

2016

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

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

CoRR, 2016

Semantic modelling of Android malware for effective malware comprehension, detection, and classification.

Guozhu Meng, Yinxing Xue, Zhengzi Xu, Yang Liu, Jie Zhang, Annamalai Narayanan

Proceedings of the 25th International Symposium on Software Testing and Analysis, 2016

Contextual Weisfeiler-Lehman graph kernel for malware detection.

Annamalai Narayanan, Guozhu Meng, Yang Liu, Jinliang Liu, Lihui Chen

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Adaptive and scalable Android malware detection through online learning.

Annamalai Narayanan, Yang Liu, Lihui Chen, Jinliang Liu

Proceedings of the 2016 International Joint Conference on Neural Networks, 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

LibSift: Automated Detection of Third-Party Libraries in Android Applications.

Charlie Soh, Hee Beng Kuan Tan, Yauhen Leanidavich Arnatovich, Annamalai Narayanan, Lipo Wang

Proceedings of the 23rd Asia-Pacific Software Engineering Conference, 2016

2014

AdDetect: Automated detection of Android ad libraries using semantic analysis.

Annamalai Narayanan, Lihui Chen, Chee Keong Chan

Proceedings of the 2014 IEEE Ninth International Conference on Intelligent Sensors, 2014