Aims & Scope
Computers & Security is the most respected technical journal in the IT security field.
With its high-profile editorial board and informative regular features and columns, the journal is essential reading for IT security professionals around the world.
Computers & Security provides you with a unique blend of leading edge research and sound practical management advice.
It is aimed at the professional involved with computer security, audit, control and data integrity in all sectors - industry, commerce and academia.
Recognized worldwide as THE primary source of reference for applied research and technical expertise it is your first step to fully secure systems.
View Aims & ScopeMetrics & Ranking
Impact Factor
Year | Value |
---|---|
2025 | 5.4 |
SJR (SCImago Journal Rank)
Year | Value |
---|---|
2024 | 1.445 |
Quartile
Year | Value |
---|---|
2024 | Q1 |
h-index
Year | Value |
---|---|
2024 | 135 |
Impact Factor Trend
Abstracting & Indexing
Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.
Subjects & Keywords
Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science and Social Sciences, designed to support cutting-edge academic discovery.
Most Cited Articles
The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.
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Anomaly-based network intrusion detection: Techniques, systems and challenges
Citation: 1317
Authors: P., J., G., E.
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Toward developing a systematic approach to generate benchmark datasets for intrusion detection
Citation: 1033
Authors: Ali, Hadi, Mahbod, Ali A.
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Privacy attitudes and privacy behaviour: A review of current research on the privacy paradox phenomenon
Citation: 827
Authors: Spyros
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Bubbles of Trust: A decentralized blockchain-based authentication system for IoT
Citation: 579
Authors: Mohamed Tahar, Badis, Patrick, Ahmed
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A survey of network-based intrusion detection data sets
Citation: 578
Authors: Markus, Sarah, Deniz, Dieter, Andreas