Suleiman Y. Yerima

Publication Activity (10 Years)

Years Active: 2007-2023
Publications (10 Years): 44

Top Topics

Buffer Management

Machine Learning

Malware Detection

Convolutional Neural Networks

Top Venues

Publications

Dhanya K. A., P. Vinod, Suleiman Y. Yerima, Abul Bashar, David A. Wagner, Abhiram T., Alan Antony, Ashil K. Shavanas, T. Gireesh Kumar
Obfuscated Malware Detection in IoT Android Applications Using Markov Images and CNN. IEEE Syst. J. 17 (2) (2023)
P. R. Vishnu, P. Vinod, Suleiman Y. Yerima
A Deep Learning Approach for Classifying Vulnerability Descriptions Using Self Attention Based Neural Network. J. Netw. Syst. Manag. 30 (1) (2022)
Suleiman Y. Yerima, Yi Min To
A deep learning-enhanced botnet detection system based on Android manifest text mining. ISDFS (2022)
Suleiman Y. Yerima, Abul Bashar
Semi-supervised novelty detection with one class SVM for SMS spam detection. IWSSIP (2022)
Dincy R. Arikkat, Rafidha Rehiman K. A., Vinod P., Suleiman Y. Yerima, Manoja W, Pooja S, Shilpa Sekhar, Sohan James, Josna Philomina
Multi-Domain Network Traffic Analysis using Machine Learning and Deep Learning Techniques. IC3 (2022)
Suleiman Y. Yerima, Abul Bashar
Bot-IMG: A framework for image-based detection of Android botnets using machine learning. AICCSA (2021)
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
A Transdisciplinary Framework for AI-driven Disaster Risk Reduction for Low-income Housing Communities in Kenya. SMC (2021)
Debmalya Sarkar, P. Vinod, Suleiman Y. Yerima
Detection of Tor Traffic using Deep Learning. AICCSA (2020)
Mohammed K. Alzaylaee, Suleiman Y. Yerima, Sakir Sezer
DL-Droid: Deep learning based android malware detection using real devices. Comput. Secur. 89 (2020)
Suleiman Y. Yerima, Mohammed K. Alzaylaee
High Accuracy Phishing Detection Based on Convolutional Neural Networks. CoRR (2020)
Suleiman Y. Yerima, Mohammed K. Alzaylaee
Mobile Botnet Detection: A Deep Learning Approach Using Convolutional Neural Networks. CyberSA (2020)
Suleiman Y. Yerima, Mohammed K. Alzaylaee
Mobile Botnet Detection: A Deep Learning Approach Using Convolutional Neural Networks. CoRR (2020)
Suleiman Y. Yerima, Sakir Sezer
DroidFusion: A Novel Multilevel Classifier Fusion Approach for Android Malware Detection. IEEE Trans. Cybern. 49 (2) (2019)
Suleiman Y. Yerima, Sarmadullah Khan
Longitudinal performance analysis of machine learning based Android malware detectors. Cyber Security (2019)
Suleiman Y. Yerima, Mohammed K. Alzaylaee, Sakir Sezer
Machine learning-based dynamic analysis of Android apps with improved code coverage. EURASIP J. Inf. Secur. 2019 (2019)
Mohammed K. Alzaylaee, Suleiman Y. Yerima, Sakir Sezer
DL-Droid: Deep learning based android malware detection using real devices. CoRR (2019)
Basil Alothman, Helge Janicke, Suleiman Y. Yerima
Class Balanced Similarity-Based Instance Transfer Learning for Botnet Family Classification. DS (2018)
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
MobiQ: A modular Android application for collecting social interaction, repeated survey, GPS and photographic data. SoftwareX 7 (2018)
Mohammed K. Alzaylaee, Suleiman Y. Yerima, Sakir Sezer
EMULATOR vs REAL PHONE: Android Malware Detection Using Machine Learning. CoRR (2017)
Niall McLaughlin, Jesús Martínez del Rincón, BooJoong Kang, Suleiman Y. Yerima, Paul Miller, Sakir Sezer, Yeganeh Safaei, Erik Trickel, Ziming Zhao, Adam Doupé, Gail-Joon Ahn
Deep Android Malware Detection. CODASPY (2017)
Feng Yao, Suleiman Y. Yerima, BooJoong Kang, Sakir Sezer
Continuous implicit authentication for mobile devices based on adaptive neuro-fuzzy inference system. Cyber Security (2017)
Feng Yao, Suleiman Y. Yerima, BooJoong Kang, Sakir Sezer
Continuous Implicit Authentication for Mobile Devices based on Adaptive Neuro-Fuzzy Inference System. CoRR (2017)
Mohammed K. Alzaylaee, Suleiman Y. Yerima, Sakir Sezer
Improving Dynamic Analysis of Android Apps Using Hybrid Test Input Generation. CoRR (2017)
Mohammed K. Alzaylaee, Suleiman Y. Yerima, Sakir Sezer
Improving dynamic analysis of android apps using hybrid test input generation. Cyber Security (2017)
Mohammed K. Alzaylaee, Suleiman Y. Yerima, Sakir Sezer
EMULATOR vs REAL PHONE: Android Malware Detection Using Machine Learning. IWSPA@CODASPY (2017)
Feng Yao, Suleiman Y. Yerima, BooJoong Kang, Sakir Sezer
Fuzzy Logic-based Implicit Authentication for Mobile Access Control. CoRR (2016)
Suleiman Y. Yerima, Khalid Al-Begain
An Enhanced Buffer Management Scheme for Multimedia Traffic in HSDPA. CoRR (2016)
Suleiman Y. Yerima, Sakir Sezer, Gavin McWilliams
Analysis of Bayesian Classification based Approaches for Android Malware Detection. CoRR (2016)
BooJoong Kang, Suleiman Y. Yerima, Kieran McLaughlin, Sakir Sezer
N-opcode analysis for android malware classification and categorization. Cyber Security And Protection Of Digital Services (2016)
Suleiman Y. Yerima, Khalid Al-Begain
Analysis of M2/M2/1/R, N Queuing Model for Multimedia over 3.5G Wireless Network Downlink. CoRR (2016)
BooJoong Kang, Suleiman Y. Yerima, Sakir Sezer, Kieran McLaughlin
N-gram Opcode Analysis for Android Malware Detection. Int. J. Cyber Situational Aware. 1 (1) (2016)
Feng Yao, Suleiman Y. Yerima, BooJoong Kang, Sakir Sezer
Event-Driven Implicit Authentication for Mobile Access Control. CoRR (2016)
Suleiman Y. Yerima, Gerard P. Parr, Cathryn Peoples, Sally I. McClean, Philip J. Morrow
A Framework for Context-Driven End-to-End QoS Control in Converged Networks. CoRR (2016)
BooJoong Kang, Suleiman Y. Yerima, Sakir Sezer, Kieran McLaughlin
N-gram Opcode Analysis for Android Malware Detection. CoRR (2016)
Suleiman Y. Yerima, Gerard P. Parr, Sally I. McClean, Philip J. Morrow, Krishna M. Sivalingam
Design and Implementation of a Measurement-Based Policy-Driven Resource Management Framework For Converged Networks. CoRR (2016)
Mohammed K. Alzaylaee, Suleiman Y. Yerima, Sakir Sezer
DynaLog: An automated dynamic analysis framework for characterizing Android applications. CoRR (2016)
Suleiman Y. Yerima, Sakir Sezer, Igor Muttik
Android Malware Detection: an Eigenspace Analysis Approach. CoRR (2016)
Suleiman Y. Yerima, Sakir Sezer, Gavin McWilliams, Igor Muttik
A New Android Malware Detection Approach Using Bayesian Classification. CoRR (2016)
Suleiman Y. Yerima, Sakir Sezer, Igor Muttik
Android Malware Detection Using Parallel Machine Learning Classifiers. CoRR (2016)
BooJoong Kang, Suleiman Y. Yerima, Kieran McLaughlin, Sakir Sezer
PageRank in Malware Categorization. CoRR (2016)
Suleiman Y. Yerima, Khalid Al-Begain
End-to-End QoS Improvement of HSDPA End-User Multi-flow Traffic Using RAN Buffer Management. CoRR (2016)
Suleiman Y. Yerima, Khalid Al-Begain
Dynamic Buffer Management for Multimedia QoS in Beyond 3G Wireless Networks. CoRR (2016)
BooJoong Kang, Suleiman Y. Yerima, Kieran McLaughlin, Sakir Sezer
N-opcode Analysis for Android Malware Classification and Categorization. CoRR (2016)
Suleiman Y. Yerima, Sakir Sezer, Igor Muttik
High Accuracy Android Malware Detection Using Ensemble Learning. CoRR (2016)
Pushpinder-Kaur Chouhan, Feng Yao, Suleiman Y. Yerima, Sakir Sezer
Software as a Service: Analyzing Security Issues. CoRR (2015)
Suleiman Y. Yerima, Sakir Sezer, Igor Muttik
High accuracy android malware detection using ensemble learning. IET Inf. Secur. 9 (6) (2015)
Feng Yao, Suleiman Y. Yerima, BooJoong Kang, Sakir Sezer
Event-Driven Implicit Authentication for Mobile Access Control. NGMAST (2015)
BooJoong Kang, Suleiman Y. Yerima, Kieran McLaughlin, Sakir Sezer
PageRank in malware categorization. RACS (2015)
Suleiman Y. Yerima, Sakir Sezer, Igor Muttik
Android Malware Detection Using Parallel Machine Learning Classifiers. NGMAST (2014)
Suleiman Y. Yerima, Sakir Sezer, Gavin McWilliams
Analysis of Bayesian classification-based approaches for Android malware detection. IET Inf. Secur. 8 (1) (2014)
Suleiman Y. Yerima
Implementation and Evaluation of Measurement-Based Admission Control Schemes Within a Converged Networks QoS Management Framework. CoRR (2013)
Suleiman Y. Yerima, Sakir Sezer, Gavin McWilliams, Igor Muttik
A New Android Malware Detection Approach Using Bayesian Classification. AINA (2013)
Suleiman Y. Yerima, Gerard P. Parr, Sally I. McClean, Philip J. Morrow
Adaptive Measurement-Based Policy-Driven QoS Management with Fuzzy-Rule-based Resource Allocation. CoRR (2013)
Suleiman Y. Yerima, Gerard P. Parr, Sally I. McClean, Philip J. Morrow
Adaptive Measurement-Based Policy-Driven QoS Management with Fuzzy-Rule-based Resource Allocation. Future Internet 4 (3) (2012)
Suleiman Y. Yerima, Khalid Al-Begain
Novel Radio Link Buffer Management Schemes for End-User Multi-class Traffic in High Speed Packet Access Networks. Wirel. Pers. Commun. 61 (2) (2011)
Suleiman Y. Yerima, Gerard P. Parr, Sally I. McClean, Philip J. Morrow
Modelling and evaluation of a policy-based resource management framework for converged next generation networks. Integrated Network Management (2011)
Suleiman Y. Yerima, Gerard P. Parr, Cathryn Peoples, Sally I. McClean, Philip J. Morrow
A framework for context-driven end-to-end QoS control in Converged Networks. CNSM (2010)
Khalid Al-Begain, Alexander N. Dudin, Arseniy Kazimirsky, Suleiman Y. Yerima
/1/∞,N queue with restricted admission of priority customers and its application to HSDPA mobile systems. Comput. Networks 53 (8) (2009)
Aymen I. Zreikat, Suleiman Y. Yerima, Khalid Al-Begain
Performance Evaluation and Resource Management of Hierarchical MACRO-/MICRO Cellular Networks using MOSEL-2. Wirel. Pers. Commun. 44 (2) (2008)
Suleiman Y. Yerima, Khalid Al-Begain
End-to-End QoS Improvement of HSDPA End-User Multi-Flow Traffic Using RAN Buffer Management. NTMS (2008)
Suleiman Y. Yerima, Khalid Al-Begain
Buffer Management for Multimedia QoS Control over HSDPA Downlink. AINA Workshops (1) (2007)