Mamoun Alazab
Mamoun Alazab
Associate Professor, College of Engineering, IT and Environment
Verified email at cdu.edu.au - Homepage
Title
Cited by
Cited by
Year
Deep learning approach for intelligent intrusion detection system
R Vinayakumar, M Alazab, KP Soman, P Poornachandran, A Al-Nemrat, ...
IEEE Access 7, 41525-41550, 2019
2882019
Organizations and cybercrime
R Broadhurst, P Grabosky, M Alazab, B Bouhours
Available at SSRN 2345525, 2013
2052013
Zero-day malware detection based on supervised learning algorithms of API call signatures
M Alazab, S Venkatraman, P Watters, M Alazab
Sydney, New South Wales: Australian Computer Society, 2010
1912010
Towards understanding malware behaviour by the extraction of API calls
M Alazab, S Venkataraman, P Watters
2010 second cybercrime and trustworthy computing workshop, 52-59, 2010
1542010
Profiling and classifying the behavior of malicious codes
M Alazab
Journal of Systems and Software 100, 91-102, 2015
1212015
Robust intelligent malware detection using deep learning
R Vinayakumar, M Alazab, KP Soman, P Poornachandran, ...
IEEE Access 7, 46717-46738, 2019
1032019
Hybrids of support vector machine wrapper and filter based framework for malware detection
S Huda, J Abawajy, M Alazab, M Abdollalihian, R Islam, J Yearwood
Future Generation Computer Systems 55, 376-390, 2016
882016
Hybrids of support vector machine wrapper and filter based framework for malware detection
S Huda, J Abawajy, M Alazab, M Abdollalihian, R Islam, J Yearwood
Future Generation Computer Systems 55, 376-390, 2016
842016
Spam and crime
R Broadhurst, M Alazab
Regulatory Theory, 517, 2017
81*2017
Malware Detection Based on Structural and Behavioural Features of API Calls
M Alazab, R Layton, S Venkataraman, P Watters
Proceedings of the 1st International Cyber Resilience Conference, 1-10, 2010
752010
Artificial intelligence for detection, estimation, and compensation of malicious attacks in nonlinear cyber-physical systems and industrial IoT
F Farivar, MS Haghighi, A Jolfaei, M Alazab
IEEE transactions on industrial informatics 16 (4), 2716-2725, 2019
722019
Using feature selection for intrusion detection system
A Alazab, M Hobbs, J Abawajy, M Alazab
2012 international symposium on communications and information technologies …, 2012
722012
A novel PCA-firefly based XGBoost classification model for intrusion detection in networks using GPU
S Bhattacharya, PKR Maddikunta, R Kaluri, S Singh, TR Gadekallu, ...
Electronics 9 (2), 219, 2020
682020
Cybercrime: the case of obfuscated malware
M Alazab, S Venkatraman, P Watters, M Alazab, A Alazab
Global security, safety and sustainability & e-Democracy, 204-211, 2011
672011
Analysis of malicious and benign android applications
M Alazab, V Moonsamy, L Batten, P Lantz, R Tian
2012 32nd International Conference on Distributed Computing Systems …, 2012
632012
A visualized botnet detection system based deep learning for the internet of things networks of smart cities
R Vinayakumar, M Alazab, S Srinivasan, QV Pham, SK Padannayil, ...
IEEE Transactions on Industry Applications 56 (4), 4436-4456, 2020
622020
Early detection of diabetic retinopathy using PCA-firefly based deep learning model
TR Gadekallu, N Khare, S Bhattacharya, S Singh, PK Reddy Maddikunta, ...
Electronics 9 (2), 274, 2020
592020
An analysis of the nature of groups engaged in cyber crime
R Broadhurst, P Grabosky, M Alazab, B Bouhours, S Chon
An analysis of the nature of groups engaged in cyber crime, International …, 2014
592014
Machine learning based botnet identification traffic
A Azab, M Alazab, M Aiash
2016 IEEE Trustcom/BigDataSE/ISPA, 1788-1794, 2016
58*2016
Blockchain for Industry 4.0: A Comprehensive Review
U Bodkhe, S Tanwar, K Parekh, P Khanpara, S Tyagi, N Kumar, M Alazab
IEEE Access, 2020
562020
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