Zainab Abaid
Zainab Abaid
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MalwareMonitor: an SDN-based framework for securing large networks
Z Abaid, M Rezvani, S Jha
Proceedings of the 2014 CoNEXT on Student Workshop, 40-42, 2014
The early bird gets the botnet: A markov chain based early warning system for botnet attacks
Z Abaid, D Sarkar, MA Kaafar, S Jha
2016 IEEE 41st Conference on Local Computer Networks (LCN), 61-68, 2016
SDN-inspired, real-time botnet detection and flow-blocking at ISP and enterprise-level
O Haq, Z Abaid, N Bhatti, Z Ahmed, A Syed
2015 IEEE International Conference on Communications (ICC), 5278-5283, 2015
Diagnosing bot infections using Bayesian inference
AB Ashfaq, Z Abaid, M Ismail, MU Aslam, AA Syed, SA Khayam
Journal of Computer Virology and Hacking Techniques 14 (1), 21-38, 2018
Quantifying the impact of adversarial evasion attacks on machine learning based android malware classifiers
Z Abaid, MA Kaafar, S Jha
2017 IEEE 16th International Symposium on Network Computing and Applications …, 2017
Early detection of in-the-wild botnet attacks by exploiting network communication uniformity: An empirical study
Z Abaid, MA Kaafar, S Jha
2017 IFIP Networking Conference (IFIP Networking) and Workshops, 1-9, 2017
System and method for botnet detection
SA Ahmed, AB Ashfaq, NR Ramay, SA Khayam, Z Abaid, MU Aslam
US Patent App. 14/076,270, 2015
Time-sensitive prediction of malware attacks and analysis of machine-learning classifiers in adversarial settings.
Z Abaid
University of New South Wales, Sydney, Australia, 2017
All Infections are Not Created Equal: Time-Sensitive Prediction of Malware Generated Network Attacks
Z Abaid, D Sarkar, MA Kaafar, S Jha
arXiv preprint arXiv:2102.01944, 2021
Health Access Broker: Secure, Patient-Controlled Management of Personal Health Records in the Cloud
Z Abaid, A Shaghaghi, R Gunawardena, S Seneviratne, A Seneviratne, ...
Conference on Complex, Intelligent, and Software Intensive Systems, 111-121, 2020
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