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Suleiman Yerima
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Deep android malware detection
N McLaughlin, J Martinez del Rincon, BJ Kang, S Yerima, P Miller, ...
Proceedings of the seventh ACM on conference on data and application …, 2017
5172017
A new android malware detection approach using bayesian classification
SY Yerima, S Sezer, G McWilliams, I Muttik
2013 IEEE 27th international conference on advanced information networking …, 2013
3562013
DL-Droid: Deep learning based android malware detection using real devices
MK Alzaylaee, SY Yerima, S Sezer
Computers & Security 89, 101663, 2020
3102020
High accuracy android malware detection using ensemble learning
SY Yerima, S Sezer, I Muttik
IET Information Security 9 (6), 313-320, 2015
2192015
Analysis of Bayesian classification‐based approaches for Android malware detection
SY Yerima, S Sezer, G McWilliams
IET Information Security 8 (1), 25-36, 2014
2022014
Droidfusion: A novel multilevel classifier fusion approach for android malware detection
SY Yerima, S Sezer
IEEE transactions on cybernetics 49 (2), 453-466, 2018
1832018
Android malware detection using parallel machine learning classifiers
SY Yerima, S Sezer, I Muttik
Eighth International Conference on Next Generation Mobile Apps, Services and …, 2014
1802014
N-opcode analysis for android malware classification and categorization
BJ Kang, SY Yerima, K McLaughlin, S Sezer
2016 International conference on cyber security and protection of digital …, 2016
1072016
Emulator vs real phone: Android malware detection using machine learning
MK Alzaylaee, SY Yerima, S Sezer
Proceedings of the 3rd ACM on International Workshop on Security and Privacy …, 2017
1042017
DynaLog: An automated dynamic analysis framework for characterizing android applications
MK Alzaylaee, SY Yerima, S Sezer
2016 International Conference On Cyber Security And Protection Of Digital …, 2016
692016
High accuracy phishing detection based on convolutional neural networks
SY Yerima, MK Alzaylaee
2020 3rd International Conference on Computer Applications & Information …, 2020
602020
N-gram Opcode Analysis for Android Malware Detection
BJ Kang, SY Yerima, S Sezer, K McLaughlin
International Journal on Cyber Situation al Awareness 1 (1), 231-255, 2016
552016
Machine learning-based dynamic analysis of Android apps with improved code coverage
SY Yerima, MK Alzaylaee, S Sezer
EURASIP Journal on Information Security 2019 (1), 1-24, 2019
492019
Mobile botnet detection: A deep learning approach using convolutional neural networks
SY Yerima, MK Alzaylaee
2020 International Conference on Cyber Situational Awareness, Data Analytics …, 2020
372020
Deep learning techniques for android botnet detection
SY Yerima, MK Alzaylaee, A Shajan, V P
Electronics 10 (4), 519, 2021
342021
Longitudinal performance analysis of machine learning based Android malware detectors
SY Yerima, S Khan
2019 International Conference on Cyber Security and Protection of Digital …, 2019
322019
Improving dynamic analysis of android apps using hybrid test input generation
MK Alzaylaee, SY Yerima, S Sezer
2017 International Conference on Cyber Security And Protection Of Digital …, 2017
312017
Android malware detection: An eigenspace analysis approach
SY Yerima, S Sezer, I Muttik
2015 Science and Information Conference (SAI), 1236-1242, 2015
312015
Detection of Tor traffic using deep learning
D Sarkar, P Vinod, SY Yerima
2020 IEEE/ACS 17th International Conference on Computer Systems and …, 2020
232020
Implementation and evaluation of measurement-based admission control schemes within a converged networks QoS management framework
SY Yerima
arXiv preprint arXiv:1311.1435, 2013
202013
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Articles 1–20