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Journal of Applied Security Research is a peer-reviewed journal published by Taylor & Francis, covering Terrorism, Counterterrorism, and Political Violence, Crime Patterns and Interventions, Information and Cyber Security.
| Publisher | Taylor & Francis |
|---|---|
| Reference style | Author–year (Chicago, T&F) Author–year — (Smith, 2023) in the text Smith, Ada, Ben Jones, and Cara Lee. 2023. "A Representative Article Title." Journal of Applied Security Research 12 (3): 45–58.
Formats any DOI in Journal of Applied Security Research style. No sign-up. |
| Publishes research in | Terrorism, Counterterrorism, and Political Violence Crime Patterns and Interventions Information and Cyber Security Network Security and Intrusion Detection Crime, Illicit Activities, and Governance |
| ISSN | 1936-1610 |
| Citation impact (2-yr) | 3.32 |
| h-index | 29 |
| i10-index | 118 |
| Total citations | 4,202 |
| Top institutions publishing here | Grand Valley State University |
| Journal website | www.tandfonline.com |
| 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.
As the use of the internet is growing exponentially, more and more businesses such as the financial sector are operationalizing their services online. Consequently, financial frauds are increasing in number and forms around the world, which results in tremendous financial losses which make financial fraud a major problem. Unauthorized access and irregular attacks are examples…
The authors present the use of graph-based approaches to discovering anomalous instances of structural patterns in data that represent insider threat activity. The approaches presented search for activities that appear to match normal transactions, but in fact are structurally different. The authors show the usefulness of applying graph theoretic approaches to discovering suspicious insider activity…
What factors may lead a terrorist organization to attack undefended and unaware civilians—or as we style them, “soft targets”? We examine two distinct processes in choosing to attack soft targets: the one-time decision to begin attacking soft targets and the continued use of violence against such targets. Our analysis points to ideology—specifically religion—as the decisive…
Spam e-mail has become a very serious problem. Sending inappropriate messages to a large number of recipients indiscriminately has resulted in anger by users but large profits for spammers. This article looks at classifying spam e-mails from inboxes. Ten alternative classifiers are applied on one benchmark dataset to evaluate which classifier gives better result. A…
The detection and classification of malwares in windows executables is an important and demanding task in the field of data mining. The malwares can easily damage the system by creating harm in the user's system, so some of the existing techniques are developed in the traditional works for an accurate malware detection. But, it lacks…
