Mustafa Kaiiali

De Montfort University

H-index: 10

Europe-United Kingdom

About Mustafa Kaiiali

Mustafa Kaiiali, With an exceptional h-index of 10 and a recent h-index of 7 (since 2020), a distinguished researcher at De Montfort University, specializes in the field of Cloud Computing, Information Security, Identity & Access Management (IAM), Malware Analysis, Computer Network.

His recent articles reflect a diverse array of research interests and contributions to the field:

RootAsRole: a security module to manage the administrative privileges for Linux

MFMCNS: A multi-feature and multi-classifier network-based system for ransomworm detection

Improved Access Control Mechanisms Using Action Weighted Grid Authorization Graph for Faster Decision Making

MaldomDetector: A system for detecting algorithmically generated domain names with machine learning

Mustafa Kaiiali Information

University	De Montfort University
Position	___
Citations(all)	422
Citations(since 2020)	336
Cited By	183
hIndex(all)	10
hIndex(since 2020)	7
i10Index(all)	10
i10Index(since 2020)	7
Email	Access Email
University Profile Page	De Montfort University
Google Scholar	View Google Scholar Profile

Mustafa Kaiiali Skills & Research Interests

Cloud Computing

Information Security

Identity & Access Management (IAM)

Malware Analysis

Computer Network

Top articles of Mustafa Kaiiali

Title	Journal	Author(s)	Publication Date
RootAsRole: a security module to manage the administrative privileges for Linux	Computers & Security	Ahmad Samer Wazan David W Chadwick Remi Venant Eddie Billoir Romain Laborde ...	2022/10/25
MFMCNS: A multi-feature and multi-classifier network-based system for ransomworm detection	Computers & Security	Ahmad O Almashhadani Domhnall Carlin Mustafa Kaiiali Sakir Sezer	2022/10/1
Improved Access Control Mechanisms Using Action Weighted Grid Authorization Graph for Faster Decision Making	International Journal of Information Security and Privacy (IJISP)	Sarra Namane Nassira Ghoualmi Mustafa Kaiiali	2021/1/1
MaldomDetector: A system for detecting algorithmically generated domain names with machine learning	Computers & Security	Ahmad O Almashhadani Mustafa Kaiiali Domhnall Carlin Sakir Sezer	2020/3/12