Sakir Sezer
Sakir Sezer
Adresă de e-mail confirmată pe qub.ac.uk
Citat de
Citat de
Are we ready for SDN? Implementation challenges for software-defined networks
S Sezer, S Scott-Hayward, PK Chouhan, B Fraser, D Lake, J Finnegan, ...
IEEE Communications magazine 51 (7), 36-43, 2013
A survey of security in software defined networks
S Scott-Hayward, S Natarajan, S Sezer
IEEE Communications Surveys & Tutorials 18 (1), 623-654, 2015
SDN security: A survey
S Scott-Hayward, G O'Callaghan, S Sezer
2013 IEEE SDN For Future Networks and Services (SDN4FNS), 1-7, 2013
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
A multimodal deep learning method for android malware detection using various features
TG Kim, BJ Kang, M Rho, S Sezer, EG Im
IEEE Transactions on Information Forensics and Security 14 (3), 773-788, 2018
DL-Droid: Deep learning based android malware detection using real devices
MK Alzaylaee, SY Yerima, S Sezer
Computers & Security 89, 101663, 2020
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
Obfuscation: The hidden malware
P O'Kane, S Sezer, K McLaughlin
IEEE Security & Privacy 9 (5), 41-47, 2011
STPA-SafeSec: Safety and security analysis for cyber-physical systems
I Friedberg, K McLaughlin, P Smith, D Laverty, S Sezer
Journal of information security and applications 34, 183-196, 2017
STRIDE-based threat modeling for cyber-physical systems
R Khan, K McLaughlin, D Laverty, S Sezer
2017 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT …, 2017
High accuracy android malware detection using ensemble learning
SY Yerima, S Sezer, I Muttik
IET Information Security 9 (6), 313-320, 2015
Droidfusion: A novel multilevel classifier fusion approach for android malware detection
SY Yerima, S Sezer
IEEE transactions on cybernetics 49 (2), 453-466, 2018
Analysis of Bayesian classification‐based approaches for Android malware detection
SY Yerima, S Sezer, G McWilliams
IET Information Security 8 (1), 25-36, 2014
Multiattribute SCADA-specific intrusion detection system for power networks
Y Yang, K McLaughlin, S Sezer, T Littler, EG Im, B Pranggono, HF Wang
IEEE Transactions on Power Delivery 29 (3), 1092-1102, 2014
Android malware detection using parallel machine learning classifiers
SY Yerima, S Sezer, I Muttik
2014 Eighth international conference on next generation mobile apps …, 2014
Threat analysis of blackenergy malware for synchrophasor based real-time control and monitoring in smart grid
R Khan, P Maynard, K McLaughlin, D Laverty, S Sezer
4th International Symposium for ICS & SCADA Cyber Security Research 2016, 53-63, 2016
Multidimensional intrusion detection system for IEC 61850-based SCADA networks
Y Yang, HQ Xu, L Gao, YB Yuan, K McLaughlin, S Sezer
IEEE Transactions on Power Delivery 32 (2), 1068-1078, 2016
A multi-classifier network-based crypto ransomware detection system: A case study of locky ransomware
AO Almashhadani, M Kaiiali, S Sezer, P O’Kane
IEEE access 7, 47053-47067, 2019
Evolution of ransomware
P O'Kane, S Sezer, D Carlin
Iet Networks 7 (5), 321-327, 2018
Impact of cyber-security issues on smart grid
Y Yang, T Littler, S Sezer, K McLaughlin, HF Wang
2011 2nd IEEE PES International Conference and Exhibition on Innovative …, 2011
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