S. Yerima

发表

A New Android Malware Detection Approach Using Bayesian Classification

Sakir Sezer, Suleiman Y. Yerima, Igor Muttik, 2013, 2013 IEEE 27th International Conference on Advanced Information Networking and Applications (AINA).

Software as a Service: Analysing Security Issues

Sakir Sezer, Feng Yao, Suleiman Y. Yerima, 2014, Big Data 2014.

Smartphones - a method for longitudinal survey data capture: One step forward or two steps back?

Sakir Sezer, Suleiman Y. Yerima, Helen McAneney, 2014 .

A New Android Malware Detection Method Using Bayesian Classification

S. Yerima, S. Sezer, Gavin McWilliams, 2013 .

Multi-Domain Network Traffic Analysis using Machine Learning and Deep Learning Techniques

S. Yerima, P. Vinod, Dincy R Arikkat, 2022, IC3.

N-gram Opcode Analysis for Android Malware Detection

Sakir Sezer, Kieran McLaughlin, BooJoong Kang, 2016, Int. J. Cyber Situational Aware..

Deep Android Malware Detection

Adam Doupé, Ziming Zhao, Gail-Joon Ahn, 2017, CODASPY.

DL-Droid: Deep learning based android malware detection using real devices pdf

Sakir Sezer, Suleiman Y. Yerima, Mohammed K. Alzaylaee, 2019, Comput. Secur..

High accuracy android malware detection using ensemble learning

Sakir Sezer, Suleiman Y. Yerima, Igor Muttik, 2015, IET Inf. Secur..

Software as a Service: Analyzing Security Issues pdf

Sakir Sezer, Feng Yao, Suleiman Y. Yerima, 2014, Big Data 2014.

Malicious PDF detection Based on Machine Learning with Enhanced Feature Set

S. Yerima, A. Bashar, Ghazanfar Latif, 2022, 2022 14th International Conference on Computational Intelligence and Communication Networks (CICN).

A Novel Android Botnet Detection System Using Image-Based and Manifest File Features

S. Yerima, A. Bashar, 2022, Electronics.

Semi-supervised novelty detection with one class SVM for SMS spam detection

S. Yerima, A. Bashar, 2022, 2022 29th International Conference on Systems, Signals and Image Processing (IWSSIP).

A comparative study of word embedding techniques for SMS spam detection

S. Yerima, Prashob Joseph, 2022, 2022 14th International Conference on Computational Intelligence and Communication Networks (CICN).

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

Suleiman Y. Yerima, Mohammed K. Alzaylaee, S. Yerima, 2020, 2020 International Conference on Cyber Situational Awareness, Data Analytics and Assessment (CyberSA).

EMULATOR vs REAL PHONE: Android Malware Detection Using Machine Learning

Sakir Sezer, Suleiman Y. Yerima, Mohammed K. Alzaylaee, 2017, IWSPA@CODASPY.

Android malware detection: An eigenspace analysis approach

Sakir Sezer, Suleiman Y. Yerima, Igor Muttik, 2015, 2015 Science and Information Conference (SAI).

Analysis of Bayesian classification-based approaches for Android malware detection pdf

Sakir Sezer, Suleiman Y. Yerima, Gavin McWilliams, 2016, IET Inf. Secur..

Android Malware Detection Using Parallel Machine Learning Classifiers

Sakir Sezer, Suleiman Y. Yerima, Igor Muttik, 2014, 2014 Eighth International Conference on Next Generation Mobile Apps, Services and Technologies.

Obfuscated Malware Detection in IoT Android Applications Using Markov Images and CNN

S. Yerima, A. Bashar, G. T., 2023, IEEE Systems Journal.

High Accuracy Phishing Detection Based on Convolutional Neural Networks

Suleiman Y. Yerima, Mohammed K. Alzaylaee, S. Yerima, 2020, 2020 3rd International Conference on Computer Applications & Information Security (ICCAIS).

A Transdisciplinary Framework for AI-driven Disaster Risk Reduction for Low-income Housing Communities in Kenya

D. Olago, S. Yerima, D. Triboan, 2021, 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Deep Learning Techniques for Android Botnet Detection

Suleiman Y. Yerima, Mohammed K. Alzaylaee, Annette Shajan, 2021, Electronics.

N-opcode analysis for android malware classification and categorization

Sakir Sezer, Kieran McLaughlin, BooJoong Kang, 2016, 2016 International Conference On Cyber Security And Protection Of Digital Services (Cyber Security).

Novel Radio Link Buffer Management Schemes for End-User Multi-class Traffic in High Speed Packet Access Networks

Khalid Al-Begain, Suleiman Y. Yerima, K. Al-Begain, 2011, Wirel. Pers. Commun..

Investigation of the M2/G2/1/∞,N queue with restricted admission of priority customers and its application to HSDPA mobile systems

Alexander N. Dudin, Khalid Al-Begain, Suleiman Y. Yerima, 2009, Comput. Networks.

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

Suleiman Y. Yerima, Khalid Al-Begain, K. Al-Begain, 2007 .

Analysis of M2/M2/1/R, N Queuing Model for Multimedia over 3.5G Wireless Network Downlink pdf

Khalid Al-Begain, Suleiman Y. Yerima, K. Al-Begain, 2006, ArXiv.

Quality of Service Optimization of Multimedia Traffic in Mobile Networks

Suleiman Yusuf Yerima, S. Yerima, 2009 .

A Deep Learning Approach for Classifying Vulnerability Descriptions Using Self Attention Based Neural Network

Suleiman Y. Yerima, P. R. Vishnu, P. Vinod, 2021, Journal of Network and Systems Management.

Dynalog: an automated dynamic analysis framework for characterizing android applications

Sakir Sezer, Suleiman Y. Yerima, Mohammed K. Alzaylaee, 2016, 2016 International Conference On Cyber Security And Protection Of Digital Services (Cyber Security).

DroidFusion: A Novel Multilevel Classifier Fusion Approach for Android Malware Detection

Sakir Sezer, Suleiman Y. Yerima, S. Yerima, 2019, IEEE Transactions on Cybernetics.

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

Sakir Sezer, Suleiman Y. Yerima, Helen McAneney, 2018, SoftwareX.

Explainable Ensemble Learning Based Detection of Evasive Malicious PDF Documents

S. Yerima, A. Bashar, 2023, Electronics.

Longitudinal performance analysis of machine learning based Android malware detectors

Sarmad Ullah Khan, Suleiman Yerima, S. Yerima, 2019, 2019 International Conference on Cyber Security and Protection of Digital Services (Cyber Security).

A Deep Learning based Approach to Android Botnet Detection using Transfer Learning

S. Yerima, A. Bashar, Abdul Sami Mohammed, 2022, 2022 14th International Conference on Computational Intelligence and Communication Networks (CICN).

Continuous implicit authentication for mobile devices based on adaptive neuro-fuzzy inference system

Sakir Sezer, Feng Yao, BooJoong Kang, 2017, 2017 International Conference on Cyber Security And Protection Of Digital Services (Cyber Security).

Analysis of Bayesian classification-based approaches for Android malware detection

S. Yerima, S. Sezer, Gavin McWilliams, 2016, IET Inf. Secur..

Detection of Tor Traffic using Deep Learning

S. Yerima, Debmalya Sarkar, P. Vinod, 2020, 2020 IEEE/ACS 17th International Conference on Computer Systems and Applications (AICCSA).

Machine learning-based dynamic analysis of Android apps with improved code coverage

Mohammed K. Alzaylaee, S. Yerima, S. Sezer, 2019, EURASIP J. Inf. Secur..

High Accuracy Detection of Mobile Malware Using Machine Learning

S. Yerima, 2023, Electronics.

Bot-IMG: A framework for image-based detection of Android botnets using machine learning

S. Yerima, A. Bashar, 2021, ACS/IEEE International Conference on Computer Systems and Applications.

A deep learning-enhanced botnet detection system based on Android manifest text mining

S. Yerima, Yi Min To, 2022, 2022 10th International Symposium on Digital Forensics and Security (ISDFS).

Analysis of Bayesian classification-based approaches for Android malware detection

S. Yerima, S. Sezer, Gavin McWilliams, 2016, IET Inf. Secur..

Evaluating Machine Learning Models for Rainfall Prediction: A Case Study of Nyando in Kenya

S. Yerima, S. Wandiga, Wangari Wang’ombe, 2023, 2023 IEEE 15th International Conference on Computational Intelligence and Communication Networks (CICN).