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Zainab Abaid
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2020 – today
- 2024
- [j5]Hamza Javed, Zainab Abaid, Shahid Akbar
, Kifayat Ullah, Ashfaq Ahmad
Blockchain-Based Logging to Defeat Malicious Insiders: The Case of Remote Health Monitoring Systems. IEEE Access 12: 12062-12079 (2024) - [j4]Syed Kumayl Raza Moosavi
Feature selection based on dataset variance optimization using Hybrid Sine Cosine - Firehawk Algorithm (HSCFHA). Future Gener. Comput. Syst. 155: 272-286 (2024) - [j3]Esha Sadia Nasir, Ahsan Saadat
Cloud security in the age of adaptive adversaries: A game theoretic approach to hypervisor-based intrusion detection. J. Syst. Archit. 156: 103281 (2024) - [j2]Syed Kumayl Raza Moosavi
Transductive Transfer Learning-Assisted Hybrid Deep Learning Model for Accurate State of Charge Estimation of Li-Ion Batteries in Electric Vehicles. IEEE Trans. Intell. Transp. Syst. 25(10): 14445-14459 (2024) - 2021
- [i2]Zainab Abaid, Dilip Sarkar, Mohamed Ali Kâafar, Sanjay K. Jha:
All Infections are Not Created Equal: Time-Sensitive Prediction of Malware Generated Network Attacks. CoRR abs/2102.01944 (2021) - 2020
- [c6]Zainab Abaid, Arash Shaghaghi, Ravin Gunawardena, Suranga Seneviratne, Aruna Seneviratne, Sanjay Jha
Health Access Broker: Secure, Patient-Controlled Management of Personal Health Records in the Cloud. CISIS 2020: 111-121 - [i1]Zainab Abaid, Arash Shaghaghi, Ravin Gunawardena, Suranga Seneviratne, Aruna Seneviratne, Sanjay Jha:
Health Access Broker: Secure, Patient-Controlled Management of Personal Health Records in the Cloud. CoRR abs/2005.07987 (2020)
2010 – 2019
- 2018
- [j1]Ayesha Binte Ashfaq, Zainab Abaid, Maliha Ismail, Muhammad Umar Aslam, Affan A. Syed, Syed Ali Khayam:
Diagnosing bot infections using Bayesian inference. J. Comput. Virol. Hacking Tech. 14(1): 21-38 (2018) - 2017
- [b1]Zainab Abaid:
Time-sensitive prediction of malware attacks and analysis of machine-learning classifiers in adversarial settings. University of New South Wales, Sydney, Australia, 2017 - [c5]Zainab Abaid, Mohamed Ali Kâafar
Quantifying the impact of adversarial evasion attacks on machine learning based android malware classifiers. NCA 2017: 375-384 - [c4]Zainab Abaid, Mohamed Ali Kâafar
Early detection of in-the-wild botnet attacks by exploiting network communication uniformity: An empirical study. Networking 2017: 1-9 - 2016
- [c3]Zainab Abaid, Dilip Sarkar, Mohamed Ali Kâafar
The Early Bird Gets the Botnet: A Markov Chain Based Early Warning System for Botnet Attacks. LCN 2016: 61-68 - 2015
- [c2]Osama Haq, Zainab Abaid, Naveed Anwar Bhatti
SDN-inspired, real-time botnet detection and flow-blocking at ISP and enterprise-level. ICC 2015: 5278-5283 - 2014
- [c1]Zainab Abaid, Mohsen Rezvani, Sanjay K. Jha
MalwareMonitor: An SDN-based Framework for Securing Large Networks. CoNEXT Student Workshop 2014: 40-42
Coauthor Index
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last updated on 2024-12-02 21:33 CET by the dblp team
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