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Mamoun Alazab
Mamoun Alazab
Professor & Director NT Academic Centre for Cyber Security and Innovation
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
8832019
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
3872020
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
2992014
Deep learning and medical image processing for coronavirus (COVID-19) pandemic: A survey
S Bhattacharya, PKR Maddikunta, QV Pham, TR Gadekallu, ...
Sustainable cities and society 65, 102589, 2021
2952021
Robust intelligent malware detection using deep learning
R Vinayakumar, M Alazab, KP Soman, P Poornachandran, ...
IEEE Access 7, 46717-46738, 2019
2842019
IMCFN: Image-based malware classification using fine-tuned convolutional neural network architecture
D Vasan, M Alazab, S Wassan, H Naeem, B Safaei, Q Zheng
Computer Networks 171, 107138, 2020
2432020
Zero-day Malware Detection based on Supervised Learning Algorithms of API call Signatures.
M Alazab, S Venkatraman, PA Watters, M Alazab
AusDM 11, 171-182, 2011
2422011
An Effective Feature Engineering for DNN using Hybrid PCA-GWO for Intrusion Detection in IoMT Architecture
CL Chowdhary, S Priya RM, PK Reddy M, P Boobalan, S Koppu, ...
Computer Communications, 2020
2272020
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
2252020
Early detection of diabetic retinopathy using PCA-firefly based deep learning model
TR Gadekallu, N Khare, S Bhattacharya, S Singh, PKR Maddikunta, IH Ra, ...
Electronics 9 (2), 274, 2020
2122020
Image-Based malware classification using ensemble of CNN architectures (IMCEC)
D Vasan, M Alazab, S Wassan, B Safaei, Q Zheng
Computers & Security 92, 101748, 2020
2092020
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
2002019
Unmanned aerial vehicles in smart agriculture: Applications, requirements, and challenges
PKR Maddikunta, S Hakak, M Alazab, S Bhattacharya, TR Gadekallu, ...
IEEE Sensors Journal 21 (16), 17608-17619, 2021
1952021
Spam and crime
R Broadhurst, M Alazab
Regulatory Theory, 517, 2017
189*2017
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
1882010
Deep learning-based traffic safety solution for a mixture of autonomous and manual vehicles in a 5G-enabled intelligent transportation system
K Yu, L Lin, M Alazab, L Tan, B Gu
IEEE transactions on intelligent transportation systems 22 (7), 4337-4347, 2020
1842020
A Novel PCA-Whale Optimization based Deep Neural Network model for Classification of Tomato Plant Diseases using GPU
T Reddy G, DS Rajput, PK Reddy M, K Lakshmanna, S Bhattacharya, ...
Journal of Real-Time Image Processing, 2020
182*2020
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
1802020
An ensemble machine learning approach through effective feature extraction to classify fake news
S Hakak, M Alazab, S Khan, TR Gadekallu, PKR Maddikunta, WZ Khan
Future Generation Computer Systems 117, 47-58, 2021
1632021
Attribute-based encryption with parallel outsourced decryption for edge intelligent IoV
C Feng, K Yu, M Aloqaily, M Alazab, Z Lv, S Mumtaz
IEEE Transactions on Vehicular Technology 69 (11), 13784-13795, 2020
1552020
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