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Wan Haslina Hassan
Researcher at Universiti Teknologi Malaysia
Publications - 77
Citations - 1321
Wan Haslina Hassan is an academic researcher from Universiti Teknologi Malaysia. The author has contributed to research in topics: Wireless network & Handover. The author has an hindex of 13, co-authored 72 publications receiving 783 citations. Previous affiliations of Wan Haslina Hassan include Sunway University & International Institute of Minnesota.
Papers
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Journal ArticleDOI
ABC-PSO for vertical handover in heterogeneous wireless networks
Shidrokh Goudarzi,Wan Haslina Hassan,Mohammad Hossein Anisi,Ahmad Soleymani,Mehdi Sookhak,Muhammad Khurram Khan,Aisha Hassan Abdalla Hashim,Mahdi Zareei +7 more
TL;DR: A hybrid intelligent handover decision algorithm primarily founded on two main heuristic algorithms: Artificial Bee Colony or ABC as well as Particle Swarm Optimization or PSO named ABC-PSO to select best wireless network during vertical handover process is proposed.
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MDP-Based Network Selection Scheme by Genetic Algorithm and Simulated Annealing for Vertical-Handover in Heterogeneous Wireless Networks
TL;DR: This paper compares the formulation and results of five recent optimization algorithms: artificial bee colony, GA, differential evolution, particle swarm optimization and hybrid of (GA–SA).
Journal Article
Wireless networks: developments, threats and countermeasures
TL;DR: The findings from reviewing these research papers proved that the complexity of the attacks had increased by time and the attacks in WiFi network are passive and more dangerous to the end users.
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A hybrid intelligent model for network selection in the industrial Internet of Things
Shidrokh Goudarzi,Mohammad Hossein Anisi,Abdul Hanan Abdullah,Jaime Lloret,Seyed Ahmad Soleymani,Wan Haslina Hassan +5 more
TL;DR: The findings shown that the MDP-BBO algorithm is able to outperform other algorithms in terms of number of handoffs, bandwidth availability, and decision delays, and the superiority of this paper’s proposed schemes in comparison with other available algorithms is displayed.
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A systematic review of security and privacy issues in the internet of medical things; the role of machine learning approaches.
TL;DR: In this paper, the authors performed a systematic literature review (SLR) on the security and privacy issues of the Internet of Medical Things (IoMT) and their solutions by ML techniques.