A hybrid deep learning model for efficient intrusion detection in big data environment MM Hassan, A Gumaei, A Alsanad, M Alrubaian, G Fortino Information Sciences 513, 386-396, 2020 | 323 | 2020 |
A performance evaluation of machine learning-based streaming spam tweets detection C Chen, J Zhang, Y Xie, Y Xiang, W Zhou, MM Hassan, A AlElaiwi, ... IEEE Transactions on Computational social systems 2 (3), 65-76, 2015 | 156 | 2015 |
Facial expression recognition utilizing local direction-based robust features and deep belief network MZ Uddin, MM Hassan, A Almogren, A Alamri, M Alrubaian, G Fortino IEEE Access 5, 4525-4536, 2017 | 143 | 2017 |
A credibility analysis system for assessing information on twitter M Alrubaian, M Al-Qurishi, MM Hassan, A Alamri IEEE Transactions on Dependable and Secure Computing 15 (4), 661-674, 2016 | 132 | 2016 |
Credibility in online social networks: A survey M Alrubaian, M Al-Qurishi, A Alamri, M Al-Rakhami, MM Hassan, ... IEEE Access 7, 2828-2855, 2018 | 115 | 2018 |
Sybil defense techniques in online social networks: a survey M Al-Qurishi, M Al-Rakhami, A Alamri, M Alrubaian, SMM Rahman, ... IEEE Access 5, 1200-1219, 2017 | 106 | 2017 |
Defending unknown attacks on cyber-physical systems by semi-supervised approach and available unlabeled data S Huda, S Miah, MM Hassan, R Islam, J Yearwood, M Alrubaian, ... Information Sciences 379, 211-228, 2017 | 105 | 2017 |
Human activity recognition from body sensor data using deep learning MM Hassan, S Huda, MZ Uddin, A Almogren, M Alrubaian Journal of medical systems 42, 1-8, 2018 | 104 | 2018 |
Leveraging analysis of user behavior to identify malicious activities in large-scale social networks M Al-Qurishi, MS Hossain, M Alrubaian, SMM Rahman, A Alamri IEEE Transactions on Industrial Informatics 14 (2), 799-813, 2017 | 87 | 2017 |
Reputation‐based credibility analysis of Twitter social network users M Alrubaian, M Al‐Qurishi, M Al‐Rakhami, MM Hassan, A Alamri Concurrency and Computation: Practice and Experience 29 (7), e3873, 2017 | 80 | 2017 |
BiSAL–A bilingual sentiment analysis lexicon to analyze Dark Web forums for cyber security K Al-Rowaily, M Abulaish, NAH Haldar, M Al-Rubaian Digital Investigation 14, 53-62, 2015 | 78 | 2015 |
Privacy-preserved, provable secure, mutually authenticated key agreement protocol for healthcare in a smart city environment S Khatoon, SMM Rahman, M Alrubaian, A Alamri IEEE access 7, 47962-47971, 2019 | 76 | 2019 |
A prediction system of Sybil attack in social network using deep-regression model M Al-Qurishi, M Alrubaian, SMM Rahman, A Alamri, MM Hassan Future Generation Computer Systems 87, 743-753, 2018 | 68 | 2018 |
Maximizing quality of experience through context‐aware mobile application scheduling in Cloudlet infrastructure MR Mahmud, M Afrin, MA Razzaque, MM Hassan, A Alelaiwi, M Alrubaian Software: Practice and Experience 46 (11), 1525-1545, 2016 | 53 | 2016 |
Quality of service aware reliable task scheduling in vehicular cloud computing T Adhikary, AK Das, MA Razzaque, A Almogren, M Alrubaian, ... Mobile Networks and Applications 21, 482-493, 2016 | 51 | 2016 |
Online extremism detection in textual content: a systematic literature review S Aldera, A Emam, M Al-Qurishi, M Alrubaian, A Alothaim IEEE Access 9, 42384-42396, 2021 | 48 | 2021 |
A multistage credibility analysis model for microblogs M AlRubaian, M Al-Qurishi, M Al-Rakhami, SMM Rahman, A Alamri Proceedings of the 2015 IEEE/ACM international conference on advances in …, 2015 | 47 | 2015 |
User trustworthiness in online social networks: A systematic review M Alkhamees, S Alsaleem, M Al-Qurishi, M Al-Rubaian, A Hussain Applied Soft Computing 103, 107159, 2021 | 39 | 2021 |
Big media healthcare data processing in cloud: a collaborative resource management perspective AK Das, T Adhikary, MA Razzaque, M Alrubaian, MM Hassan, MZ Uddin, ... Cluster Computing 20, 1599-1614, 2017 | 38 | 2017 |
Detecting spamming activities in twitter based on deep‐learning technique T Wu, S Wen, S Liu, J Zhang, Y Xiang, M Alrubaian, MM Hassan Concurrency and Computation: Practice and Experience 29 (19), e4209, 2017 | 35 | 2017 |