What is he best known for?
The fields of study he is best known for:
- Operating system
- Programming language
- The Internet
Mourad Debbabi mostly deals with Computer security, Malware, Data mining, Programming language and Computer network.
His primary area of study in Computer security is in the field of Adversary model.
His work carried out in the field of Malware brings together such families of science as Network security, Reverse engineering, Artificial intelligence, Server and Botnet.
His study explores the link between Data mining and topics such as Anonymity that cross with problems in Pattern analysis, Trajectory, Exploit and Cluster analysis.
His Programming language study frequently involves adjacent topics like Dead code.
His Computer network research is multidisciplinary, relying on both Domain Name System, Wireless ad hoc network and Intrusion detection system.
His most cited work include:
- A Survey and a Layered Taxonomy of Software-Defined Networking (233 citations)
- On the analysis of the Zeus botnet crimeware toolkit (177 citations)
- Static Detection of Malicious Code in Executable Programs (166 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Computer security, Programming language, Theoretical computer science, Malware and Software engineering.
His Computer security research is multidisciplinary, incorporating elements of Darknet and The Internet.
His study in the field of Semantics, Activity diagram, Java and Aspect-oriented programming also crosses realms of Weaving.
His Activity diagram course of study focuses on Systems Modeling Language and Model checking.
His studies in Theoretical computer science integrate themes in fields like Cryptographic protocol, Correctness and Compiler.
His study looks at the relationship between Malware and fields such as Artificial intelligence, as well as how they intersect with chemical problems.
He most often published in these fields:
- Computer security (29.67%)
- Programming language (20.20%)
- Theoretical computer science (13.04%)
What were the highlights of his more recent work (between 2018-2021)?
- Computer security (29.67%)
- Cloud computing (6.91%)
- Malware (12.02%)
In recent papers he was focusing on the following fields of study:
Mourad Debbabi focuses on Computer security, Cloud computing, Malware, Audit and Distributed computing.
His Computer security study frequently links to adjacent areas such as Network telescope.
His Cloud computing research also works with subjects such as
- Dependency that intertwine with fields like Proof of concept and Software security assurance,
- Consistency that connect with fields like Layer, Isolation, Focus and Agile software development.
His study in Malware is interdisciplinary in nature, drawing from both Machine learning, Digital forensics, Reverse engineering and Artificial intelligence.
His research in Reverse engineering intersects with topics in Compiler, Malware analysis and Identification.
The Distributed computing study combines topics in areas such as Software deployment, Factor, Overlay, Testbed and Key.
Between 2018 and 2021, his most popular works were:
- Wordnet-Based Criminal Networks Mining for Cybercrime Investigation (14 citations)
- Evolutionary learning algorithm for reliable facility location under disruption (13 citations)
- MalDy: Portable, data-driven malware detection using natural language processing and machine learning techniques on behavioral analysis reports (12 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Programming language
- The Internet
Mourad Debbabi spends much of his time researching Smart grid, Computer security, Coding, Distributed computing and Exploit.
His work in the fields of Computer security, such as Information sensitivity, overlaps with other areas such as Vendor.
His Distributed computing study combines topics from a wide range of disciplines, such as Abstraction, Network Functions Virtualization, Cloud computing and Testbed.
His work on Software security assurance as part of his general Cloud computing study is frequently connected to Enforcement, thereby bridging the divide between different branches of science.
His studies deal with areas such as Agency, Jitter and Network packet as well as Exploit.
His work carried out in the field of Artificial intelligence brings together such families of science as Machine learning and Malware.
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