Cybersecurity Data Science
A special issue of Network (ISSN 2673-8732).
Deadline for manuscript submissions: closed (7 February 2022) | Viewed by 330
Special Issue Editors
Interests: malware data science; natural language processing; intrusion detection; access control systems; machine learning; peer-to-peer systems
Interests: computer science; machine learning; knowledge management; big data
Special Issues, Collections and Topics in MDPI journals
Interests: cyber security; software fingerprinting; malware analysis; secure software and systems engineering
Special Issue Information
Dear Colleagues,
Applying data science methodologies and techniques to network security is becoming a popular trend. The last decade has witnessed a proliferation in academic proposals in this field. Furthermore, commercial cybersecurity products, e.g., SIEM and anti-malware, are increasingly shipping their software packages with data visualization, analysis, machine learning, and big data functionalities. The ultimate goal of cybersecurity data science is to extract useful insights from the analyzed data and build data-driven intelligent cybersecurity models for more automated and smart cybersecurity solutions.
In the context of cybersecurity, data can take several and different forms, including security and system logs, network traffic, configuration information, source code, and binaries. Each data type comes with its own challenges and might suggest different methodologies to be applied to it.
This Special Issue focuses on cybersecurity data science and aims to represent the most recent innovations in that field. The scope of this Special Issue includes but is not limited to the application of data science to the following fields:
- Malware behavior analytics and detection;
- Network intrusion detection;
- Open-source intelligence processing;
- Security orchestration, automation, and response;
- Automatic vulnerability identification;
- Malware author characterization and identification;
- Digital forensics and incident response;
- Autonomous vehicle technologies security;
- User and entity behavior analytics;
- Next-generation security operation centers;
- IoT security;
- Cloud security;
- Data protection.
Dr. Hani Ragab Hassen
Dr. Abrar Ullah
Dr. Djedjiga Mouheb
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. Network is an international peer-reviewed open access quarterly 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 1000 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
- network security
- cybersecurity
- data science
- deep learning
- machine learning
- malware analysis
- intrusion detection
- security operations
- incident response
- next-generation cybersecurity
- security intelligence
- big data
- analytics
- data visualization
