Zainab Abaid

According to our database, Zainab Abaid authored at least 13 papers between 2014 and 2024.

Collaborative distances:

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

2024

Transductive Transfer Learning-Assisted Hybrid Deep Learning Model for Accurate State of Charge Estimation of Li-Ion Batteries in Electric Vehicles.

Syed Kumayl Raza Moosavi, Muhammad Hamza Zafar, Ahsan Saadat, Zainab Abaid, Wei Ni, Abbas Jamalipour, Filippo Sanfilippo

IEEE Trans. Intell. Transp. Syst., October, 2024

Cloud security in the age of adaptive adversaries: A game theoretic approach to hypervisor-based intrusion detection.

Esha Sadia Nasir, Ahsan Saadat, Yasir Faheem, Zainab Abaid, Muhammad Moazam Fraz

J. Syst. Archit., 2024

Feature selection based on dataset variance optimization using Hybrid Sine Cosine - Firehawk Algorithm (HSCFHA).

Syed Kumayl Raza Moosavi, Ahsan Saadat, Zainab Abaid, Wei Ni, Kai Li, Mohsen Guizani

Future Gener. Comput. Syst., 2024

Blockchain-Based Logging to Defeat Malicious Insiders: The Case of Remote Health Monitoring Systems.

Hamza Javed, Zainab Abaid, Shahid Akbar, Kifayat Ullah, Ashfaq Ahmad, Aamir Saeed, Hashim Ali, Yazeed Yasin Ghadi, Tahani Jaser Alahmadi, Hend Khalid Alkahtani, Ali Raza

IEEE Access, 2024

2021

All Infections are Not Created Equal: Time-Sensitive Prediction of Malware Generated Network Attacks.

Zainab Abaid, Dilip Sarkar, Mohamed Ali Kâafar, Sanjay K. Jha

CoRR, 2021

2020

Health Access Broker: Secure, Patient-Controlled Management of Personal Health Records in the Cloud.

Zainab Abaid, Arash Shaghaghi, Ravin Gunawardena, Suranga Seneviratne, Aruna Seneviratne, Sanjay Jha

Proceedings of the 13th International Conference on Computational Intelligence in Security for Information Systems, 2020

2018

Diagnosing bot infections using Bayesian inference.

Ayesha Binte Ashfaq, Zainab Abaid, Maliha Ismail, Muhammad Umar Aslam, Affan A. Syed, Syed Ali Khayam

J. Comput. Virol. Hacking Tech., 2018

2017

Time-sensitive prediction of malware attacks and analysis of machine-learning classifiers in adversarial settings.

Zainab Abaid

PhD thesis, 2017

Early detection of in-the-wild botnet attacks by exploiting network communication uniformity: An empirical study.

Zainab Abaid, Mohamed Ali Kâafar, Sanjay Jha

Proceedings of the 2017 IFIP Networking Conference, 2017

Quantifying the impact of adversarial evasion attacks on machine learning based android malware classifiers.

Zainab Abaid, Mohamed Ali Kâafar, Sanjay Jha

Proceedings of the 16th IEEE International Symposium on Network Computing and Applications, 2017

2016

The Early Bird Gets the Botnet: A Markov Chain Based Early Warning System for Botnet Attacks.

Zainab Abaid, Dilip Sarkar, Mohamed Ali Kâafar, Sanjay Jha

Proceedings of the 41st IEEE Conference on Local Computer Networks, 2016

2015

SDN-inspired, real-time botnet detection and flow-blocking at ISP and enterprise-level.

Osama Haq, Zainab Abaid, Naveed Anwar Bhatti, Zaafar Ahmed, Affan A. Syed

Proceedings of the 2015 IEEE International Conference on Communications, 2015

2014

MalwareMonitor: An SDN-based Framework for Securing Large Networks.

Zainab Abaid, Mohsen Rezvani, Sanjay K. Jha

Proceedings of the 2014 CoNEXT on Student Workshop, 2014