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ORCIDSuleiman Y. Yerima
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2020 – today
- 2023
[j13]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): 2756-2766 (2023)- 2022
- [j12]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): 9 (2022) - [c22]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: 305-312 - [c21]Suleiman Y. Yerima, Yi Min To:
A deep learning-enhanced botnet detection system based on Android manifest text mining. ISDFS 2022: 1-6 - [c20]Suleiman Y. Yerima, Abul Bashar:
Semi-supervised novelty detection with one class SVM for SMS spam detection. IWSSIP 2022: 1-4 - 2021
- [c19]Suleiman Y. Yerima, Abul Bashar:
Bot-IMG: A framework for image-based detection of Android botnets using machine learning. AICCSA 2021: 1-7 - [c18]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: 188-193 - 2020
- [j11]Mohammed K. Alzaylaee, Suleiman Y. Yerima, Sakir Sezer:
DL-Droid: Deep learning based android malware detection using real devices. Comput. Secur. 89 (2020) - [c17]Debmalya Sarkar, P. Vinod, Suleiman Y. Yerima:
Detection of Tor Traffic using Deep Learning. AICCSA 2020: 1-8 - [c16]Suleiman Y. Yerima, Mohammed K. Alzaylaee:
Mobile Botnet Detection: A Deep Learning Approach Using Convolutional Neural Networks. CyberSA 2020: 1-8 - [i26]Suleiman Y. Yerima, Mohammed K. Alzaylaee:
High Accuracy Phishing Detection Based on Convolutional Neural Networks. CoRR abs/2004.03960 (2020) - [i25]Suleiman Y. Yerima, Mohammed K. Alzaylaee:
Mobile Botnet Detection: A Deep Learning Approach Using Convolutional Neural Networks. CoRR abs/2007.00263 (2020)
2010 – 2019
- 2019
- [j10]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: 4 (2019) - [j9]Suleiman Y. Yerima, Sakir Sezer:
DroidFusion: A Novel Multilevel Classifier Fusion Approach for Android Malware Detection. IEEE Trans. Cybern. 49(2): 453-466 (2019) - [c15]Suleiman Y. Yerima, Sarmadullah Khan:
Longitudinal performance analysis of machine learning based Android malware detectors. Cyber Security 2019: 1-8 - [i24]Mohammed K. Alzaylaee, Suleiman Y. Yerima, Sakir Sezer:
DL-Droid: Deep learning based android malware detection using real devices. CoRR abs/1911.10113 (2019) - 2018
- [j8]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: 143-149 (2018) - [c14]Basil Alothman, Helge Janicke, Suleiman Y. Yerima:
Class Balanced Similarity-Based Instance Transfer Learning for Botnet Family Classification. DS 2018: 99-113 - 2017
- [c13]Mohammed K. Alzaylaee, Suleiman Y. Yerima, Sakir Sezer:
EMULATOR vs REAL PHONE: Android Malware Detection Using Machine Learning. IWSPA@CODASPY 2017: 65-72 - [c12]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: 301-308 - [c11]Mohammed K. Alzaylaee, Suleiman Y. Yerima, Sakir Sezer:
Improving dynamic analysis of android apps using hybrid test input generation. Cyber Security 2017: 1-8 - [c10]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: 1-7 - [i23]Mohammed K. Alzaylaee, Suleiman Y. Yerima, Sakir Sezer:
EMULATOR vs REAL PHONE: Android Malware Detection Using Machine Learning. CoRR abs/1703.10926 (2017) - [i22]Mohammed K. Alzaylaee, Suleiman Y. Yerima, Sakir Sezer:
Improving Dynamic Analysis of Android Apps Using Hybrid Test Input Generation. CoRR abs/1705.06691 (2017) - [i21]Feng Yao, Suleiman Y. Yerima, BooJoong Kang, Sakir Sezer:
Continuous Implicit Authentication for Mobile Devices based on Adaptive Neuro-Fuzzy Inference System. CoRR abs/1705.06715 (2017) - 2016
- [j7]BooJoong Kang, Suleiman Y. Yerima, Sakir Sezer, Kieran McLaughlin:
N-gram Opcode Analysis for Android Malware Detection. Int. J. Cyber Situational Aware. 1(1): 231-255 (2016) - [c9]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: 1-7 - [i20]Suleiman Y. Yerima, Sakir Sezer, Igor Muttik:
Android Malware Detection: an Eigenspace Analysis Approach. CoRR abs/1607.08087 (2016) - [i19]Feng Yao, Suleiman Y. Yerima, BooJoong Kang, Sakir Sezer:
Event-Driven Implicit Authentication for Mobile Access Control. CoRR abs/1607.08101 (2016) - [i18]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 abs/1607.08123 (2016) - [i17]BooJoong Kang, Suleiman Y. Yerima, Kieran McLaughlin, Sakir Sezer:
N-opcode Analysis for Android Malware Classification and Categorization. CoRR abs/1607.08149 (2016) - [i16]Mohammed K. Alzaylaee, Suleiman Y. Yerima, Sakir Sezer:
DynaLog: An automated dynamic analysis framework for characterizing Android applications. CoRR abs/1607.08166 (2016) - [i15]Suleiman Y. Yerima, Sakir Sezer, Igor Muttik:
Android Malware Detection Using Parallel Machine Learning Classifiers. CoRR abs/1607.08186 (2016) - [i14]Suleiman Y. Yerima, Sakir Sezer, Igor Muttik:
High Accuracy Android Malware Detection Using Ensemble Learning. CoRR abs/1608.00835 (2016) - [i13]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 abs/1608.00839 (2016) - [i12]Suleiman Y. Yerima, Sakir Sezer, Gavin McWilliams, Igor Muttik:
A New Android Malware Detection Approach Using Bayesian Classification. CoRR abs/1608.00848 (2016) - [i11]Suleiman Y. Yerima, Khalid Al-Begain:
An Enhanced Buffer Management Scheme for Multimedia Traffic in HSDPA. CoRR abs/1608.00855 (2016) - [i10]BooJoong Kang, Suleiman Y. Yerima, Kieran McLaughlin, Sakir Sezer:
PageRank in Malware Categorization. CoRR abs/1608.00866 (2016) - [i9]Suleiman Y. Yerima, Khalid Al-Begain:
Analysis of M2/M2/1/R, N Queuing Model for Multimedia over 3.5G Wireless Network Downlink. CoRR abs/1608.01021 (2016) - [i8]Suleiman Y. Yerima, Khalid Al-Begain:
End-to-End QoS Improvement of HSDPA End-User Multi-flow Traffic Using RAN Buffer Management. CoRR abs/1608.01023 (2016) - [i7]Suleiman Y. Yerima, Sakir Sezer, Gavin McWilliams:
Analysis of Bayesian Classification based Approaches for Android Malware Detection. CoRR abs/1608.05812 (2016) - [i6]Suleiman Y. Yerima, Khalid Al-Begain:
Dynamic Buffer Management for Multimedia QoS in Beyond 3G Wireless Networks. CoRR abs/1610.05184 (2016) - [i5]Feng Yao, Suleiman Y. Yerima, BooJoong Kang, Sakir Sezer:
Fuzzy Logic-based Implicit Authentication for Mobile Access Control. CoRR abs/1611.03343 (2016) - [i4]BooJoong Kang, Suleiman Y. Yerima, Sakir Sezer, Kieran McLaughlin:
N-gram Opcode Analysis for Android Malware Detection. CoRR abs/1612.01445 (2016) - 2015
- [j6]Suleiman Y. Yerima, Sakir Sezer, Igor Muttik:
High accuracy android malware detection using ensemble learning. IET Inf. Secur. 9(6): 313-320 (2015) - [c8]Feng Yao, Suleiman Y. Yerima, BooJoong Kang, Sakir Sezer:
Event-Driven Implicit Authentication for Mobile Access Control. NGMAST 2015: 248-255 - [c7]BooJoong Kang, Suleiman Y. Yerima, Kieran McLaughlin, Sakir Sezer:
PageRank in malware categorization. RACS 2015: 291-295 - [i3]Pushpinder-Kaur Chouhan, Feng Yao, Suleiman Y. Yerima, Sakir Sezer:
Software as a Service: Analyzing Security Issues. CoRR abs/1505.01711 (2015) - 2014
- [j5]Suleiman Y. Yerima, Sakir Sezer, Gavin McWilliams:
Analysis of Bayesian classification-based approaches for Android malware detection. IET Inf. Secur. 8(1): 25-36 (2014) - [c6]Suleiman Y. Yerima, Sakir Sezer, Igor Muttik:
Android Malware Detection Using Parallel Machine Learning Classifiers. NGMAST 2014: 37-42 - 2013
- [c5]Suleiman Y. Yerima, Sakir Sezer, Gavin McWilliams, Igor Muttik:
A New Android Malware Detection Approach Using Bayesian Classification. AINA 2013: 121-128 - [i2]Suleiman Y. Yerima:
Implementation and Evaluation of Measurement-Based Admission Control Schemes Within a Converged Networks QoS Management Framework. CoRR abs/1311.1435 (2013) - [i1]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 abs/1311.1436 (2013) - 2012
- [j4]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): 646-671 (2012) - 2011
- [j3]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): 349-382 (2011) - [c4]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: 563-570 - 2010
- [c3]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: 250-253
2000 – 2009
- 2009
- [j2]Khalid Al-Begain, Alexander N. Dudin, Arseniy Kazimirsky, Suleiman Y. Yerima:
Investigation of the M2/G2/1/∞,N queue with restricted admission of priority customers and its application to HSDPA mobile systems. Comput. Networks 53(8): 1186-1201 (2009) - 2008
- [j1]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): 153-179 (2008) - [c2]Suleiman Y. Yerima, Khalid Al-Begain:
End-to-End QoS Improvement of HSDPA End-User Multi-Flow Traffic Using RAN Buffer Management. NTMS 2008: 1-5 - 2007
- [c1]Suleiman Y. Yerima, Khalid Al-Begain:
Buffer Management for Multimedia QoS Control over HSDPA Downlink. AINA Workshops (1) 2007: 912-917
Coauthor Index
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