What is he best known for?
The fields of study he is best known for:
- Computer network
- Computer security
- The Internet
Hervé Debar mainly investigates Intrusion detection system, Data mining, Computer security, Alert correlation and Data model.
While working on this project, he studies both Intrusion detection system and Group.
His Data mining research incorporates elements of Artificial neural network, Artificial intelligence, Process and Component.
In general Computer security study, his work on Exploit often relates to the realm of Task and Damages, thereby connecting several areas of interest.
Hervé Debar works mostly in the field of Exploit, limiting it down to concerns involving Secure state and, occasionally, Taxonomy, Knowledge base, Telecommunications network and Vulnerability assessment.
Hervé Debar has researched Data model in several fields, including XML, The Internet and Protocol.
His most cited work include:
- Towards a taxonomy of intrusion-detection systems (683 citations)
- Aggregation and Correlation of Intrusion-Detection Alerts (556 citations)
- A neural network component for an intrusion detection system (460 citations)
What are the main themes of his work throughout his whole career to date?
Computer security, Intrusion detection system, Data mining, Computer network and The Internet are his primary areas of study.
His research in Computer security intersects with topics in Security information and event management, Risk management and Service.
His studies deal with areas such as Data model and Taxonomy as well as Intrusion detection system.
His Data mining study combines topics in areas such as Set, Process, Information security and Alert management.
His Network security, Multiprotocol Label Switching and Authentication study in the realm of Computer network interacts with subjects such as Home automation.
The concepts of his The Internet study are interwoven with issues in Internet security, Server and Software deployment.
He most often published in these fields:
- Computer security (45.16%)
- Intrusion detection system (27.74%)
- Data mining (23.23%)
What were the highlights of his more recent work (between 2016-2020)?
- Computer security (45.16%)
- Network packet (3.23%)
- Computer network (14.19%)
In recent papers he was focusing on the following fields of study:
Hervé Debar focuses on Computer security, Network packet, Computer network, Home automation and Distributed computing.
His research investigates the connection with Computer security and areas like Software which intersect with concerns in Construct and Range.
His Network packet research is multidisciplinary, incorporating elements of Machine learning and Artificial intelligence.
His study explores the link between Computer network and topics such as Anomaly detection that cross with problems in Application layer DDoS attack and The Internet.
Hervé Debar usually deals with Traffic generation model and limits it to topics linked to Autoencoder and Intrusion detection system.
His research integrates issues of Optimization problem and State in his study of Intrusion detection system.
Between 2016 and 2020, his most popular works were:
- IoT Devices Recognition Through Network Traffic Analysis (34 citations)
- ArOMA: An SDN based autonomic DDoS mitigation framework (30 citations)
- ArOMA: An SDN based autonomic DDoS mitigation framework (30 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- The Internet
- Computer security
His primary areas of study are Computer network, Computer security, Application layer DDoS attack, Denial-of-service attack and The Internet.
In the field of Computer network, his study on Traffic analysis, Network packet and Network monitoring overlaps with subjects such as Context and Home automation.
His Computer security research is multidisciplinary, relying on both Software and Risk management.
His work carried out in the field of Application layer DDoS attack brings together such families of science as Security policy, Anomaly detection, Software deployment and Software-defined networking.
DDoS mitigation is the focus of his Denial-of-service attack research.
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