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Elec-SI-IIDS 2021 : Special Issue on Design of Intelligent Intrusion Detection Systems


When N/A
Where N/A
Submission Deadline May 31, 2021
Categories    security   intrusion detection   network security   information security

Call For Papers

Commerce, healthcare, manufacturing, and energy are just some of the sectors of modern society that have been revolutionized by the adoption of computer systems and the penetration of digital communications. With this digitization trend expanding with increasing rates, cyber-attacks and threats have also become an omnipresent, all-pervasive phenomenon. It is because of this penetration that today more than ever, attackers have high motivation to perform well-orchestrated attacks. To make matters worse, attackers can rely on publicly available offensive tools or acquire exploits from the dark web. It does not come as a surprise that attacks and malware become increasingly intelligent, stealthy, and robust against traditional defense practices. Recent incidents like Stuxnet or Wannacry signify the urgency for developing intelligent detection methodologies and tools able to identify never-seen-before threats. Artificial Intelligence (AI), Machine Learning (ML), and data analysis methods, while applied successfully to other domains, have only seen partial practical application in intrusion detection. The primary reasons that have been identified in the literature are: (a) high false-positive rates, (b) lack of rich data to train effective models due to the sensitive nature of the security domain, (c) requirement for an elaborate feature engineering phase conducted by human domain-experts, and (d) the inability of existing methods to create explainable models. The objective of this Special Issue is to provide the state-of-the-art in the field of anomaly and intrusion detection giving particular emphasis to intelligent techniques that are able to overcome one or all of the well-documented inefficiencies of the existing approaches. Researchers are invited to contribute novel methods, algorithms, datasets, tools, and studies in the field.


- Scallable Anomaly Detection Methods
- Distributed Intrusion Detection
- Collaborative Intrusion Detection
- Privacy Preserving IDS
- Federated Anomaly Detection
- Application of Deep Learning for Intrusion Detection
- Reinforcement Learning for Intrusion Detection
- Intrusion Detection in IoT Networks
- Intrusion Detection for Industrial Control Systems
- Intrusion Detection in Vehicular Networks

Manuscript Submission Information

Manuscripts should be submitted online at by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1500 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Guest Editors
Dr. Georgios Kambourakis
Dr. Weizhi Meng
Dr. Konstantinos Kolias

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