Online Registration and Anomaly Detection of Cyber Security Events
A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Information Security and Privacy".
Deadline for manuscript submissions: 1 November 2024 | Viewed by 139
Special Issue Editors
Interests: security; virtualization; operating systems
Interests: text analysis; NLP; deep learning, optimization; applications of deep learning in cyber security; integrating security and NLP
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Machine Learning in general and its applications in cyber security have attracted attention from the research community in the last few decades. While classic cyber security techniques can be used to acquire a stream of events, its analysis is usually performed using a machine learning technique. In the past, the analysis was divided into two separate phases. In the first phase, some portion of the stream was used to train a model, which was used for the analysis of the rest of the stream in the second phase. Recently, we have witnessed increased interest in developing online anomaly detection techniques, in which the model is constantly updated with new events.
In this Special Issue, we aim to gather as many perspectives as possible on the problem of online anomaly detection in different contexts. We welcome articles that contribute grand visions, research outcomes, theory development, implementation experiences, and prototype experiments and results. In addition to traditional machine learning applications in cybersecurity, the Special Issue also encourages contributions that explore the integration of Natural Language Processing (NLP) tasks. NLP techniques can play a crucial role in enhancing the analysis of cyber threats by extracting meaningful insights from textual data, such as security logs, incident reports, and communication records.
Key areas of this Special Issue include but are not limited to:
- Machine learning;
- Online learning;
- Information security;
- Text analysis for security;
- Network security;
- Trust management;
- Security and privacy.
Dr. Michael Kiperberg
Dr. Natalia Vanetik
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com 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 submissions that pass pre-check are 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. Information 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 1600 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.
Keywords
- machine learning
- security
- privacy
- information leakage
- NLP
