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Deepak Venugopal
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Year
Malware modeling detection system and method for mobile platforms
G Tuvell, D Venugopal, G Hu
US Patent 8,321,941, 2012
6112012
Malware detection system and method for mobile platforms
G Tuvell, D Venugopal
US Patent 9,104,871, 2015
5342015
Non-signature malware detection system and method for mobile platforms
G Tuvell, D Venugopal, M Pfefferle
US Patent 8,312,545, 2012
4862012
Malware detection system and method for compressed data on mobile platforms
G Tuvell, D Venugopal
US Patent 9,009,818, 2015
3312015
Wireless intrusion prevention system and method
G Hu, D Venugopal, S Bhardwaj
US Patent 8,087,085, 2011
2642011
Detecting review manipulation on online platforms with hierarchical supervised learning
N Kumar, D Venugopal, L Qiu, S Kumar
Journal of Management Information Systems 35 (1), 350-380, 2018
1892018
System and method of malware sample collection on mobile networks
G Tuvell, D Venugopal, G Hu
US Patent 8,881,283, 2014
1832014
DDoS intrusion detection through machine learning ensemble
S Das, AM Mahfouz, D Venugopal, S Shiva
2019 IEEE 19th international conference on software Quality, Reliability and …, 2019
1062019
Efficient signature based malware detection on mobile devices
D Venugopal, G Hu
Mobile Information Systems 4 (1), 33-49, 2008
892008
Detecting anomalous online reviewers: An unsupervised approach using mixture models
N Kumar, D Venugopal, L Qiu, S Kumar
Journal of Management Information Systems 36 (4), 1313-1346, 2019
862019
Relieving the computational bottleneck: Joint inference for event extraction with high-dimensional features
D Venugopal, C Chen, V Gogate, V Ng
Proceedings of the 2014 Conference on Empirical Methods in Natural Language …, 2014
812014
Comparative analysis of ML classifiers for network intrusion detection
AM Mahfouz, D Venugopal, SG Shiva
Fourth International Congress on Information and Communication Technology …, 2020
742020
Ensemble classifiers for network intrusion detection using a novel network attack dataset
A Mahfouz, A Abuhussein, D Venugopal, S Shiva
Future Internet 12 (11), 180, 2020
692020
On lifting the gibbs sampling algorithm
D Venugopal, V Gogate
Advances in Neural Information Processing Systems 25, 2012
682012
Evidence-based clustering for scalable inference in markov logic
D Venugopal, V Gogate
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2014
542014
Lifted MAP inference for Markov logic networks
S Sarkhel, D Venugopal, P Singla, V Gogate
Artificial intelligence and statistics, 859-867, 2014
502014
Advances in lifted importance sampling
V Gogate, A Jha, D Venugopal
Proceedings of the AAAI Conference on Artificial Intelligence 26 (1), 1910-1916, 2012
482012
Empirical evaluation of the ensemble framework for feature selection in ddos attack
S Das, D Venugopal, S Shiva, FT Sheldon
2020 7th IEEE International Conference on Cyber Security and Cloud Computing …, 2020
452020
Joint inference for event coreference resolution
J Lu, D Venugopal, V Gogate, V Ng
Proceedings of COLING 2016, the 26th International Conference on …, 2016
452016
A holistic approach for detecting ddos attacks by using ensemble unsupervised machine learning
S Das, D Venugopal, S Shiva
Advances in Information and Communication: Proceedings of the 2020 Future of …, 2020
362020
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