What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- The Internet
- Operating system
Mamoun Alazab spends much of his time researching Artificial intelligence, Malware, Machine learning, Artificial neural network and Deep learning.
His work investigates the relationship between Artificial intelligence and topics such as Botnet that intersect with problems in Network security.
His Malware study combines topics in areas such as Obfuscation, Visualization, Data mining and Application programming interface.
Mamoun Alazab has researched Machine learning in several fields, including Volume, Cybercrime, The Internet and Intrusion detection system.
He has included themes like Control engineering, Cruise control and Lyapunov function in his Artificial neural network study.
His biological study deals with issues like Scalability, which deal with fields such as Industry 4.0, Blockchain and Traceability.
His most cited work include:
- Deep Learning Approach for Intelligent Intrusion Detection System (198 citations)
- Zero-day malware detection based on supervised learning algorithms of API call signatures (117 citations)
- Towards Understanding Malware Behaviour by the Extraction of API Calls (97 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Artificial intelligence, Computer security, Malware, Deep learning and The Internet.
His Artificial intelligence study combines topics from a wide range of disciplines, such as Big data, Machine learning and Pattern recognition.
His Computer security research is multidisciplinary, incorporating elements of Cybercrime and Cloud computing.
His Cybercrime research is multidisciplinary, incorporating perspectives in Organised crime, Criminology and Internet privacy.
His study in Malware is interdisciplinary in nature, drawing from both Obfuscation, Data mining and Botnet.
His studies in Deep learning integrate themes in fields like Domain and Convolutional neural network.
He most often published in these fields:
- Artificial intelligence (29.95%)
- Computer security (27.65%)
- Malware (20.74%)
What were the highlights of his more recent work (between 2020-2021)?
- Artificial intelligence (29.95%)
- Computer security (27.65%)
- Deep learning (15.21%)
In recent papers he was focusing on the following fields of study:
Mamoun Alazab mostly deals with Artificial intelligence, Computer security, Deep learning, Cloud computing and Authentication.
His study in Artificial intelligence focuses on Artificial neural network in particular.
His work deals with themes such as Intelligent sensor and Health care, which intersect with Computer security.
His studies deal with areas such as Domain, Feature, Natural language processing, Intrusion detection system and Robustness as well as Deep learning.
His Authentication research includes themes of Symmetric-key algorithm, Protocol and Blockchain.
His research in Incident response intersects with topics in Malware and Data science.
Between 2020 and 2021, his most popular works were:
- Deep Learning and Medical Image Processing for Coronavirus (COVID-19) Pandemic: A Survey. (17 citations)
- An Attribute-Based Access Control for Cloud Enabled Industrial Smart Vehicles (9 citations)
- A Novel UAV-Enabled Data Collection Scheme for Intelligent Transportation System Through UAV Speed Control (8 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- The Internet
- Operating system
Mamoun Alazab mainly investigates Artificial intelligence, Cloud computing, Real-time computing, Artificial neural network and The Internet.
His Artificial intelligence research incorporates elements of Forwarding plane and Machine learning.
Mamoun Alazab interconnects Exploit, Control, Intelligent sensor and Access control in the investigation of issues within Cloud computing.
His study looks at the relationship between Artificial neural network and topics such as Domain, which overlap with Field.
His research on The Internet also deals with topics like
- Multimedia and related Authentication,
- Reinforcement learning and related Distributed computing.
His study explores the link between Deep learning and topics such as Implementation that cross with problems in Health care.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
