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Cyber Security and Applications is a peer-reviewed journal published by Elsevier, covering Network Security and Intrusion Detection, Advanced Malware Detection Techniques, Blockchain Technology Applications and Security.
| Publisher | Elsevier |
|---|---|
| Reference style | Numbered (Elsevier) Numbered — [1], [2] in the text [1] A. Smith, B. Jones, C. Lee, A representative article title, Cyber Security and Applications 12 (2023) 45–58.
Formats any DOI in Cyber Security and Applications style. No sign-up. |
| Publishes research in | Network Security and Intrusion Detection Advanced Malware Detection Techniques Blockchain Technology Applications and Security User Authentication and Security Systems Cryptography and Data Security |
| ISSN | 2772-9184 |
| Citation impact (2-yr) | 15.57 |
| h-index | 25 |
| i10-index | 61 |
| Total citations | 2,269 |
| Open access | Yes |
| Top institutions publishing here | Asia University |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Cyber security has become a very critical concern that needs the attention of researchers, academicians, and organizations to confidentially ensure the protection and security of information systems. Due to the increasing demand for digitalization, every individual and organization faces continually shifting cyber threats. This article provides an overview of the state of the art in…
Healthcare information security is becoming a significant responsibility for all healthcare organisations and individuals. Innovative medical equipment and healthcare apps are vital to patient care, yet they are often the target of hackers. Moreover, attackers are silently working against healthcare data. Once a hacker has gained access to a network, they might install ransomware to…
As the Internet of Things (IoT) expands, the security of IoT networks has becoming more critical. Intrusion Detection Systems (IDS) are essential for protecting these networks against malicious activities . Artificial intelligence , with its adaptive and self-learning capabilities, has emerged as a promising approach to enhancing intrusion detection in IoT environments. Machine learning facilitates…
Access Control is a crucial defense mechanism organizations can deploy to meet modern cybersecurity needs and legal compliance with data privacy. The aim is to prevent unauthorized users and systems from accessing protected resources in a way that exceeds their permissions. The present survey aims to summarize state-of-the-art Access Control techniques, presenting recent research trends…
The adoption of the Internet of Things (IoT) in our technology-driven society is hindered by security and data privacy challenges. To address these issues, Artificial Intelligence (AI) techniques such as Machine Learning (ML) and Deep Learning (DL) can be applied to build Intrusion Detection Systems (IDS) that help securing IoT networks. Federated Learning (FL) is…
