W
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
More filters
Journal ArticleDOI
Current research on Internet of Things (IoT) security: A survey
TL;DR: This paper presents an analysis of recent research in IoT security from 2016 to 2018, its trends and open issues, and the relevant tools, modellers and simulators.
Journal ArticleDOI
IoMT amid COVID-19 pandemic: Application, architecture, technology, and security
Azana Hafizah Mohd Aman,Wan Haslina Hassan,Shilan Sameen,Shilan Sameen,Zainab Senan Attarbashi,Mojtaba Alizadeh,Liza Abdul Latiff +6 more
TL;DR: In many countries, the Internet of Medical Things has been deployed in tandem with other strategies to curb the spread of COVID-19, improve the safety of front-line personnel, increase efficacy by lessening the severity of the disease on human lives, and decrease mortality rates.
Journal ArticleDOI
Trust management in vehicular ad hoc network: a systematic review
Seyed Ahmad Soleymani,Abdul Hanan Abdullah,Wan Haslina Hassan,Mohammad Hossein Anisi,Shidrokh Goudarzi,Mir Ali Rezazadeh Baee,Satria Mandala +6 more
TL;DR: The main challenges and requirements for trust in VANETs are revealed and future research within this scope is revealed to increase quality of data in transportation.
Journal ArticleDOI
A Novel Method to Water Level Prediction using RBF and FFA
Seyed Ahmad Soleymani,Shidrokh Goudarzi,Mohammad Hossein Anisi,Wan Haslina Hassan,Mohd Yamani Idna Idris,Shahaboddin Shamshirband,Noorzaily Mohamed Noor,Ismail Ahmedy +7 more
TL;DR: The results specify that the developed RBF–FFA model can be used as an efficient technique for accurate prediction of water stage of river.
Proceedings ArticleDOI
Challenges and opportunities of Mobile Cloud Computing
TL;DR: The background of MCC is presented including the various definitions, infrastructures, and applications including the different approaches that have been adapted in studying MCC.