| Autor: |
Zhukabayeva, Tamara, Zholshiyeva, Lazzat, Khu Ven-Tsen, Mardenov, Yerik, Adamova, Aigul, Karabayev, Nurdaulet, Abdildayeva, Assel, Baumuratova, Dilaram |
| Předmět: |
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| Zdroj: |
Indonesian Journal of Electrical Engineering & Computer Science; Oct2024, Vol. 36 Issue 1, p318-337, 20p |
| Abstrakt: |
One of the most important aspects of the effective functioning of wireless sensor network (WSN) is their security. Despite significant progress in WSN security, there are still several unresolved issues. Many review studies have been published on the problems of possible attacks on WSN and their identification. However, due to the lack of their systematic analysis, it is not possible to fully substantiate practical recommendations for the effective application of the proposed solutions in the field of WSN security. In particular, the creation of methods that provide a high degree of security while minimizing computational effort and costs, and the development of effective methods for detecting and preventing attacks on WSN. The purpose of this document is to fill this gap. The article presents the results of the study in the form of a systematic analysis of the literature with a targeted selection of sources to identify the most effective methods for detecting and preventing attacks on WSN. By identifying the security of WSN, which has not yet been addressed in research works, the review aims to reduce its impact. As a result, our extended taxonomy is presented, including attack types, datasets, effective WSN attack detection methods, countermeasures, and intrusion detection systems (IDS). [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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