Buffer Management for Multimedia QoS Control over HSDPA Downlink. - Suleiman Y. Yerima; Khalid Al-Begain (AINA Workshops (1), 2007)

End-to-End QoS Improvement of HSDPA End-User Multi-Flow Traffic Using RAN Buffer Management. - Suleiman Y. Yerima; Khalid Al-Begain (NTMS, 2008)

Performance Evaluation and Resource Management of Hierarchical MACRO-/MICRO Cellular Networks using MOSEL-2. - Aymen I. Zreikat; Suleiman Y. Yerima; Khalid Al-Begain (Wirel. Pers. Commun., 2008)

Investigation of the M2/G2/1/∞,N queue with restricted admission of priority customers and its application to HSDPA mobile systems. - Khalid Al-Begain; Alexander N. Dudin; Arseniy Kazimirsky; Suleiman Y. Yerima (Comput. Networks, 2009)

A framework for context-driven end-to-end QoS control in Converged Networks. - Suleiman Y. Yerima; Gerard P. Parr; Cathryn Peoples; Sally I. McClean; Philip J. Morrow (CNSM, 2010)

Modelling and evaluation of a policy-based resource management framework for converged next generation networks. - Suleiman Y. Yerima; Gerard P. Parr; Sally I. McClean; Philip J. Morrow (Integrated Network Management, 2011)

Novel Radio Link Buffer Management Schemes for End-User Multi-class Traffic in High Speed Packet Access Networks. - Suleiman Y. Yerima; Khalid Al-Begain (Wirel. Pers. Commun., 2011)

Adaptive Measurement-Based Policy-Driven QoS Management with Fuzzy-Rule-based Resource Allocation. - Suleiman Y. Yerima; Gerard P. Parr; Sally I. McClean; Philip J. Morrow (Future Internet, 2012)

A New Android Malware Detection Approach Using Bayesian Classification. - Suleiman Y. Yerima; Sakir Sezer; Gavin McWilliams; Igor Muttik (AINA, 2013)

Implementation and Evaluation of Measurement-Based Admission Control Schemes Within a Converged Networks QoS Management Framework. - Suleiman Y. Yerima (CoRR, 2013)

Android Malware Detection Using Parallel Machine Learning Classifiers. - Suleiman Y. Yerima; Sakir Sezer; Igor Muttik (NGMAST, 2014)

Analysis of Bayesian classification-based approaches for Android malware detection. - Suleiman Y. Yerima; Sakir Sezer; Gavin McWilliams (IET Inf. Secur., 2014)

Event-Driven Implicit Authentication for Mobile Access Control. - Feng Yao; Suleiman Y. Yerima; BooJoong Kang; Sakir Sezer (NGMAST, 2015)

PageRank in malware categorization. - BooJoong Kang; Suleiman Y. Yerima; Kieran McLaughlin; Sakir Sezer (RACS, 2015)

Software as a Service: Analyzing Security Issues. - Pushpinder-Kaur Chouhan; Feng Yao; Suleiman Y. Yerima; Sakir Sezer (CoRR, 2015)

High accuracy android malware detection using ensemble learning. - Suleiman Y. Yerima; Sakir Sezer; Igor Muttik (IET Inf. Secur., 2015)

N-opcode analysis for android malware classification and categorization. - BooJoong Kang; Suleiman Y. Yerima; Kieran McLaughlin; Sakir Sezer (Cyber Security And Protection Of Digital Services, 2016)

DynaLog: An automated dynamic analysis framework for characterizing Android applications. - Mohammed K. Alzaylaee; Suleiman Y. Yerima; Sakir Sezer (CoRR, 2016)

Fuzzy Logic-based Implicit Authentication for Mobile Access Control. - Feng Yao; Suleiman Y. Yerima; BooJoong Kang; Sakir Sezer (CoRR, 2016)

An Enhanced Buffer Management Scheme for Multimedia Traffic in HSDPA. - Suleiman Y. Yerima; Khalid Al-Begain (CoRR, 2016)

Analysis of M2/M2/1/R, N Queuing Model for Multimedia over 3.5G Wireless Network Downlink. - Suleiman Y. Yerima; Khalid Al-Begain (CoRR, 2016)

Dynamic Buffer Management for Multimedia QoS in Beyond 3G Wireless Networks. - Suleiman Y. Yerima; Khalid Al-Begain (CoRR, 2016)

Design and Implementation of a Measurement-Based Policy-Driven Resource Management Framework For Converged Networks. - Suleiman Y. Yerima; Gerard P. Parr; Sally I. McClean; Philip J. Morrow; Krishna M. Sivalingam (CoRR, 2016)

Android Malware Detection: an Eigenspace Analysis Approach. - Suleiman Y. Yerima; Sakir Sezer; Igor Muttik (CoRR, 2016)

N-gram Opcode Analysis for Android Malware Detection. - BooJoong Kang; Suleiman Y. Yerima; Sakir Sezer; Kieran McLaughlin (Int. J. Cyber Situational Aware., 2016)

EMULATOR vs REAL PHONE: Android Malware Detection Using Machine Learning. - Mohammed K. Alzaylaee; Suleiman Y. Yerima; Sakir Sezer (IWSPA@CODASPY, 2017)

Deep Android Malware Detection. - Niall McLaughlin; Jesús Martínez del Rincón; BooJoong Kang; Suleiman Y. Yerima; Paul Miller 003; Sakir Sezer; Yeganeh Safaei; Erik Trickel; Ziming Zhao 001; Adam Doupé; Gail-Joon Ahn (CODASPY, 2017)

Improving dynamic analysis of android apps using hybrid test input generation. - Mohammed K. Alzaylaee; Suleiman Y. Yerima; Sakir Sezer (Cyber Security, 2017)

Continuous implicit authentication for mobile devices based on adaptive neuro-fuzzy inference system. - Feng Yao; Suleiman Y. Yerima; BooJoong Kang; Sakir Sezer (Cyber Security, 2017)

Class Balanced Similarity-Based Instance Transfer Learning for Botnet Family Classification. - Basil Alothman; Helge Janicke; Suleiman Y. Yerima (DS, 2018)

MobiQ: A modular Android application for collecting social interaction, repeated survey, GPS and photographic data. - Suleiman Y. Yerima; Michael Loughlin; Sakir Sezer; John Moriarty; Mark McCann; Helen McAneney; Leeanne O'hara; Mark A. Tully; Paul S. Ell; Robert Miller; Geraldine Macdonald (SoftwareX, 2018)

Longitudinal performance analysis of machine learning based Android malware detectors. - Suleiman Y. Yerima; Sarmadullah Khan (Cyber Security, 2019)

Machine learning-based dynamic analysis of Android apps with improved code coverage. - Suleiman Y. Yerima; Mohammed K. Alzaylaee; Sakir Sezer (EURASIP J. Inf. Secur., 2019)

DroidFusion: A Novel Multilevel Classifier Fusion Approach for Android Malware Detection. - Suleiman Y. Yerima; Sakir Sezer (IEEE Trans. Cybern., 2019)

Detection of Tor Traffic using Deep Learning. - Debmalya Sarkar; P. Vinod 001; Suleiman Y. Yerima (AICCSA, 2020)

Mobile Botnet Detection: A Deep Learning Approach Using Convolutional Neural Networks. - Suleiman Y. Yerima; Mohammed K. Alzaylaee (CyberSA, 2020)

DL-Droid: Deep learning based android malware detection using real devices. - Mohammed K. Alzaylaee; Suleiman Y. Yerima; Sakir Sezer (Comput. Secur., 2020)

High Accuracy Phishing Detection Based on Convolutional Neural Networks. - Suleiman Y. Yerima; Mohammed K. Alzaylaee (CoRR, 2020)

Bot-IMG: A framework for image-based detection of Android botnets using machine learning. - Suleiman Y. Yerima; Abul Bashar (AICCSA, 2021)

A Transdisciplinary Framework for AI-driven Disaster Risk Reduction for Low-income Housing Communities in Kenya. - Darpan Triboan; Esther Adhiambo Obonyo; Aladdin Ayesh; Suleiman Y. Yerima; Barnali Basak; Wangari Wang'Ombe; Daniel Olago; Lydia A. Olaka; Kristin K. Sznajder; Carvalho Madivate (SMC, 2021)

Multi-Domain Network Traffic Analysis using Machine Learning and Deep Learning Techniques. - Dincy R. Arikkat; Rafidha Rehiman K. A.; Vinod P. 001; Suleiman Y. Yerima; Manoja W; Pooja S; Shilpa Sekhar; Sohan James; Josna Philomina (IC3, 2022)

A deep learning-enhanced botnet detection system based on Android manifest text mining. - Suleiman Y. Yerima; Yi Min To (ISDFS, 2022)

Semi-supervised novelty detection with one class SVM for SMS spam detection. - Suleiman Y. Yerima; Abul Bashar (IWSSIP, 2022)

A Deep Learning Approach for Classifying Vulnerability Descriptions Using Self Attention Based Neural Network. - P. R. Vishnu; P. Vinod 001; Suleiman Y. Yerima (J. Netw. Syst. Manag., 2022)

Obfuscated Malware Detection in IoT Android Applications Using Markov Images and CNN. - Dhanya K. A.; P. Vinod 001; Suleiman Y. Yerima; Abul Bashar; David A. Wagner 001; Abhiram T.; Alan Antony; Ashil K. Shavanas; T. Gireesh Kumar (IEEE Syst. J., 2023)

Advancements of SMS Spam Detection: A Comprehensive Survey of NLP and ML Techniques. - Mohammed Rasol Al Saidat; Suleiman Y. Yerima; Khaled Shaalan (ACLING, 2024)

A Novel Approach for Arabic SMS Spam Detection Using Hybrid Deep Learning Techniques. - Mohammed Rasol Al Saidat; Suleiman Y. Yerima; Khaled Shaalan (ACLING, 2024)