Measurement-based policy-driven QoS management in Converged Networks

S. Y. Yerima , G.P. Parr , S. McCLean , P. J. Morrow
national conference on communications 1 -5

2
2011
A framework for context-driven end-to-end QoS control in Converged Networks

S. Y. Yerima , G.P. Parr , C. Peoples , S. McCLean
conference on network and service management 250 -253

8
2010
Modelling and evaluation of a policy-based resource management framework for converged next generation networks

S. Y. Yerima , G.P. Parr , S. McCLean , P. J. Morrow
integrated network management 563 -570

3
2011
A New Android Malware Detection Approach Using Bayesian Classification

S. Y. Yerima , S. Sezer , G. McWilliams , I. Muttik
advanced information networking and applications 121 -128

343
2013
Performance modelling of a queue management scheme with rate control for HSDPA

Suleiman Y. Yerima , Khalid Al-Begain
8thAnnual Postgraduate Symposium on The Convergence of Telecommunications, Networking & Broadcasting (PG Net 2007)

5
2007
Adaptive Measurement-Based Policy-Driven QoS Management with Fuzzy-Rule-based Resource Allocation

Suleiman Y. Yerima , Sally I. McClean , Gerard P. Parr , Philip J. Morrow
Future Internet 4 ( 3) 646 -671

2
2012
N-opcode analysis for android malware classification and categorization

Suleiman Y. Yerima , Kieran Mclaughlin , Boojoong Kang , Sakir Sezer
2016 International Conference On Cyber Security And Protection Of Digital Services (Cyber Security) 1 -7

95
2016
N-gram Opcode Analysis for Android Malware Detection

Suleiman Y. Yerima , Kieran McLaughlin , BooJoong Kang , Sakir Sezer
arXiv: Cryptography and Security

48
2016
Analysis of M2/M2/1/R, N Queuing model for Multimedia over 3.5G Wireless Network Downlink

Suleiman Y. Yerima , Khalid Al-Begain
european modelling symposium

1
2006
Mobile Botnet Detection: A Deep Learning Approach Using Convolutional Neural Networks

Suleiman Y. Yerima , Mohammed K. Alzaylaee
arXiv: Cryptography and Security

33
2020
Analysis of Bayesian Classification based Approaches for Android Malware Detection

Suleiman Y. Yerima , Gavin McWilliams , Sakir Sezer
arXiv: Cryptography and Security

187
2016
High Accuracy Android Malware Detection Using Ensemble Learning

Suleiman Y. Yerima , Igor Muttik , Sakir Sezer
arXiv: Cryptography and Security

188
2016
DynaLog: An automated dynamic analysis framework for characterizing Android applications

Suleiman Y. Yerima , Sakir Sezer , Mohammed K. Alzaylaee
arXiv: Cryptography and Security

62
2016
EMULATOR vs REAL PHONE: Android Malware Detection Using Machine Learning

Suleiman Y. Yerima , Sakir Sezer , Mohammed K. Alzaylaee
arXiv: Cryptography and Security

86
2017
Detection of Tor Traffic using Deep Learning

Suleiman Y. Yerima , Debmalya Sarkar , P. Vinod
acs/ieee international conference on computer systems and applications 1 -8

10
2020
Fuzzy logic-based implicit authentication for mobile access control

Feng Yao , Suleiman Y. Yerima , BooJoong Kang , Sakir Sezer
2016 SAI Computing Conference (SAI) 968 -975

7
2016
Android malware detection: An eigenspace analysis approach

Suleiman Y. Yerima , Sakir Sezer , Igor Muttik
science and information conference 1236 -1242

21
2015
MobiQ: A modular Android application for collecting social interaction, repeated survey, GPS and photographic data

Suleiman Y. Yerima , Michael Loughlin , Sakir Sezer , John Moriarty
SoftwareX 7 143 -149

2018
Android Malware Detection Using Parallel Machine Learning Classifiers

Suleiman Y. Yerima , Sakir Sezer , Igor Muttik
next generation mobile applications, services and technologies 37 -42

162
2014
Event-Driven Implicit Authentication for Mobile Access Control

Feng Yao , Suleiman Y. Yerima , BooJoong Kang , Sakir Sezer
next generation mobile applications, services and technologies 248 -255

9
2015