What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- The Internet
- Machine learning
His primary areas of study are Intrusion detection system, Data mining, Computer security, The Internet and Machine learning.
His work carried out in the field of Intrusion detection system brings together such families of science as Testbed, Software deployment, Constant false alarm rate and Strengths and weaknesses.
His Data mining study focuses on Anomaly detection in particular.
His Network security study in the realm of Computer security interacts with subjects such as Process.
In his study, Denial-of-service attack and Click fraud is strongly linked to Artificial intelligence, which falls under the umbrella field of Machine learning.
His Data set research integrates issues from Feature extraction, Computational intelligence and Data security.
His most cited work include:
- A detailed analysis of the KDD CUP 99 data set (1727 citations)
- Toward developing a systematic approach to generate benchmark datasets for intrusion detection (577 citations)
- Toward Generating a New Intrusion Detection Dataset and Intrusion Traffic Characterization (508 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Data mining, Computer security, Artificial intelligence, Intrusion detection system and Machine learning.
His studies deal with areas such as Information retrieval, Feature selection, Cluster analysis and Flow network as well as Data mining.
Information retrieval and Web page are commonly linked in his work.
His research integrates issues of Android, Computer network and The Internet, Botnet in his study of Computer security.
The Artificial intelligence study combines topics in areas such as Natural language processing and Pattern recognition.
His Intrusion detection system study combines topics from a wide range of disciplines, such as Anomaly detection, Denial-of-service attack and Network security.
He most often published in these fields:
- Data mining (29.64%)
- Computer security (28.06%)
- Artificial intelligence (22.53%)
What were the highlights of his more recent work (between 2018-2021)?
- Computer security (28.06%)
- Artificial intelligence (22.53%)
- Deep learning (2.77%)
In recent papers he was focusing on the following fields of study:
Computer security, Artificial intelligence, Deep learning, Blockchain and Encryption are his primary areas of study.
His Computer security research incorporates elements of Block, Correctness, Feature and Big data.
Ali A. Ghorbani combines subjects such as Intrusion detection system and Enhanced Data Rates for GSM Evolution with his study of Feature.
His biological study spans a wide range of topics, including Univariate and Machine learning.
His work deals with themes such as Random forest, Data mining and Support vector machine, which intersect with Receiver operating characteristic.
His Data mining study incorporates themes from Watermark, Embedding and Brute-force attack.
Between 2018 and 2021, his most popular works were:
- An overview of online fake news: Characterization, detection, and discussion (84 citations)
- Developing Realistic Distributed Denial of Service (DDoS) Attack Dataset and Taxonomy (53 citations)
- Application of deep learning to cybersecurity: A survey (52 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- The Internet
- Machine learning
Ali A. Ghorbani mainly focuses on Computer security, Distributed computing, Network security, Taxonomy and Cloud computing.
Blockchain and Intrusion detection system are the subjects of his Computer security studies.
Reliability is closely connected to Probabilistic logic in his research, which is encompassed under the umbrella topic of Distributed computing.
Ali A. Ghorbani has included themes like Data mining, Feature, Flow network, Denial-of-service attack and Data science in his Network security study.
His Taxonomy research includes elements of Visualization, Volume and Categorization.
His Cloud computing study deals with Encryption intersecting with Access control.
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