Obserwuj
Fathy E. Eassa
Fathy E. Eassa
professor of computer Science , King AbdulAziz University
Zweryfikowany adres z kau.edu.sa - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
Preserving privacy in internet of things: a survey
AA Abi Sen, FA Eassa, K Jambi, M Yamin
International Journal of Information Technology 10, 189-200, 2018
1552018
Blockchain-based secured access control in an IoT system
S Algarni, F Eassa, K Almarhabi, A Almalaise, E Albassam, K Alsubhi, ...
Applied Sciences 11 (4), 1772, 2021
622021
Preserving privacy of smart cities based on the fog computing
AA Abi Sen, FA Eassa, K Jambi
Smart Societies, Infrastructure, Technologies and Applications: First …, 2018
512018
Blockchain platforms and access control classification for IoT systems
AI Abdi, FE Eassa, K Jambi, K Almarhabi, ASAM Al-Ghamdi
Symmetry 12 (10), 1663, 2020
402020
An ensemble machine learning technique for functional requirement classification
N Rahimi, F Eassa, L Elrefaei
symmetry 12 (10), 1601, 2020
372020
Near duplicate document detection survey
BS Alsulami, MF Abulkhair, FE Eassa
International Journal of Computer Science and Communications Networks 2 (2 …, 2012
352012
Hierarchical blockchain-based multi-chaincode access control for securing IoT systems
AI Abdi, FE Eassa, K Jambi, K Almarhabi, M Khemakhem, A Basuhail, ...
Electronics 11 (5), 711, 2022
342022
Personalized learning style for adaptive e-learning system
NA Ali, F Eassa, E Hamed
International Journal of Advanced Trends in Computer Science and Engineering …, 2019
272019
Ontology-based cloud services representation
A Ali, SM Shamsuddin, FE Eassa
Research Journal of Applied Sciences, Engineering and Technology 8 (1), 83-94, 2014
272014
Securing mobile-agent-based systems against malicious hosts
MA Madkour, FE Eassa, AM Ali, NU Qayyum
World Applied Sciences Journal 29 (2), 287-297, 2014
252014
A survey on fault tolerant multi agent system
Y Arfat, FE Eassa
IJ Inf. Technol. Comput. Sci 9, 39-48, 2016
202016
One-and two-phase software requirement classification using ensemble deep learning
N Rahimi, F Eassa, L Elrefaei
Entropy 23 (10), 1264, 2021
162021
Cloud computing services: Taxonomy of discovery approaches and extraction solutions
F Mohammed, AM Ali, ASAM Al-Ghamdi, F Alsolami, SM Shamsuddin, ...
Symmetry 12 (8), 1354, 2020
162020
Survey on access control and management issues in cloud and BYOD environment
K Almarhabi, K Jambi, F Eassa, O Batarfi
International Journal of Computer Science and Mobile Computing 6 (12), 44-54, 2017
162017
Towards big data security framework by leveraging fragmentation and blockchain technology
HE Alhazmi, FE Eassa, SM Sandokji
IEEE Access 10, 10768-10782, 2022
152022
Software testing techniques for parallel systems: A survey
AM Alghamdi, FE Eassa
Int. J. Comput. Sci. Netw. Secur 19 (4), 176-186, 2019
152019
Ensemble model based on hybrid deep learning for intrusion detection in smart grid networks
U AlHaddad, A Basuhail, M Khemakhem, FE Eassa, K Jambi
Sensors 23 (17), 7464, 2023
142023
A Proposed Framework for Access Control in the Cloud and BYOD Environment
K Almarhabi, K Jambi, F Eassa, O Batarfi
IJCSNS Int. J. Comput. Sci. Netw. Secur 18 (2), 144-152, 2018
142018
An interoperable blockchain security frameworks based on microservices and smart contract in IoT environment
KS Alshudukhi, MA Khemakhem, FE Eassa, KM Jambi
Electronics 12 (3), 776, 2023
122023
Ensemble Deep Learning Models for Mitigating DDoS Attack in Software-Defined Network.
F Alanazi, K Jambi, F Eassa, M Khemakhem, A Basuhail, K Alsubhi
Intelligent Automation & Soft Computing 33 (2), 2022
122022
Nie można teraz wykonać tej operacji. Spróbuj ponownie później.
Prace 1–20