Murad A. Rassam
Murad A. Rassam
Associate Professor (Cybersecurity), Taiz University.
Verified email at - Homepage
Cited by
Cited by
Ransomware detection using the dynamic analysis and machine learning: A survey and research directions
U Urooj, BAS Al-rimy, A Zainal, FA Ghaleb, MA Rassam
Applied Sciences 12 (1), 172, 2021
An effective misbehavior detection model using artificial neural network for vehicular ad hoc network applications
FA Ghaleb, A Zainal, MA Rassam, F Mohammed
2017 IEEE conference on application, information and network security (AINS …, 2017
Advancements of data anomaly detection research in wireless sensor networks: a survey and open issues
MA Rassam, A Zainal, MA Maarof
Sensors 13 (8), 10087-10122, 2013
A survey of intrusion detection schemes in wireless sensor networks
MA Rassam, MA Maarof, A Zainal
American Journal of Applied Sciences 9 (10), 1636, 2012
Adaptive and online data anomaly detection for wireless sensor systems
MA Rassam, MA Maarof, A Zainal
Knowledge-Based Systems 60, 44-57, 2014
A financial fraud detection model based on LSTM deep learning technique
Y Alghofaili, A Albattah, MA Rassam
Journal of Applied Security Research 15 (4), 498-516, 2020
Improved vehicle positioning algorithm using enhanced innovation-based adaptive Kalman filter
FA Ghaleb, A Zainal, MA Rassam, A Abraham
Pervasive and Mobile Computing 40, 139-155, 2017
Context-aware data-centric misbehaviour detection scheme for vehicular ad hoc networks using sequential analysis of the temporal and spatial correlation of the consistency …
FA Ghaleb, MA Maarof, A Zainal, MA Rassam, F Saeed, M Alsaedi
Vehicular Communications 20, 100186, 2019
A trust management model for IoT devices and services based on the multi-criteria decision-making approach and deep long short-term memory technique
Y Alghofaili, MA Rassam
Sensors 22 (2), 634, 2022
Secure cloud infrastructure: A survey on issues, current solutions, and open challenges
Y Alghofaili, A Albattah, N Alrajeh, MA Rassam, BAS Al-Rimy
Applied Sciences 11 (19), 9005, 2021
Adversarial machine learning attacks against intrusion detection systems: A survey on strategies and defense
A Alotaibi, MA Rassam
Future Internet 15 (2), 62, 2023
Artificial immune network clustering approach for anomaly intrusion detection
MA Rassam, MA Maarof
Journal of Advances in Information Technology 3 (3), 147-154, 2012
An adaptive and efficient dimension reduction model for multivariate wireless sensor networks applications
MA Rassam, A Zainal, MA Maarof
Applied Soft Computing 13 (4), 1978-1996, 2013
A sinkhole attack detection scheme in mintroute wireless sensor networks
MA Rassam, A Zainal, MA Maarof, M Al-Shaboti
2012 International Symposium on Telecommunication Technologies, 71-75, 2012
A combined text-based and metadata-based deep-learning framework for the detection of spam accounts on the social media platform twitter
AS Alhassun, MA Rassam
Processes 10 (3), 439, 2022
Big Data Analytics Adoption for Cybersecurity: A Review of Current Solutions, Requirements, Challenges and Trends.
MA Rassam, M Maarof, A Zainal
Journal of Information Assurance & Security 12 (4), 2017
An efficient distributed anomaly detection model for wireless sensor networks
MA Rassam, A Zainal, MA Maarof
AASRI Procedia 5, 9-14, 2013
A distributed anomaly detection model for wireless sensor networks based on the one-class principal component classifier
MA Rassam, MA Maarof, A Zainal
International Journal of Sensor Networks 27 (3), 200-214, 2018
Data verification and misbehavior detection in vehicular ad-hoc networks
FA Ghaleb, A Zainal, MA Rassam
J. Teknologi 73 (2), 37-44, 2015
Principal component analysis–based data reduction model for wireless sensor networks
MA Rassam, A Zainal, MA Maarof
International Journal of Ad Hoc and Ubiquitous Computing 18 (1-2), 85-101, 2015
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