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Intrusion detection systems for IoT-based smart environments: a survey
Department of Electronics and Communication Engineering, MUST University, 6th of October, Egypt; Institute of Public Administration, Abha, Asir, Saudi Arabia.
Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap. Faculty of Engineering, Al-Azhar University, Qena, P.O. Box 83513, Egypt.ORCID-id: 0000-0002-3800-0757
Faculty of Engineering, Minia University, Minia, Egypt.
2018 (Engelska)Ingår i: Journal of Cloud Computing - Advances, Systems and Applications, ISSN 2192-113X, Vol. 7, nr 21, s. 1-20Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

One of the goals of smart environments is to improve the quality of human life in terms of comfort and efficiency. The Internet of Things (IoT) paradigm has recently evolved into a technology for building smart environments. Security and privacy are considered key issues in any real-world smart environment based on the IoT model. The security vulnerabilities in IoT-based systems create security threats that affect smart environment applications. Thus, there is a crucial need for intrusion detection systems (IDSs) designed for IoT environments to mitigate IoT-related security attacks that exploit some of these security vulnerabilities. Due to the limited computing and storage capabilities of IoT devices and the specific protocols used, conventional IDSs may not be an option for IoT environments. This article presents a comprehensive survey of the latest IDSs designed for the IoT model, with a focus on the corresponding methods, features, and mechanisms. This article also provides deep insight into the IoT architecture, emerging security vulnerabilities, and their relation to the layers of the IoT architecture. This work demonstrates that despite previous studies regarding the design and implementation of IDSs for the IoT paradigm, developing efficient, reliable and robust IDSs for IoT-based smart environments is still a crucial task. Key considerations for the development of such IDSs are introduced as a future outlook at the end of this survey.

Ort, förlag, år, upplaga, sidor
Springer, 2018. Vol. 7, nr 21, s. 1-20
Nyckelord [en]
Intrusion detection systems, Internet-of-Things, Smart environments
Nationell ämneskategori
Systemvetenskap, informationssystem och informatik med samhällsvetenskaplig inriktning
Forskningsämne
Informationssystem
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URN: urn:nbn:se:ltu:diva-71908DOI: 10.1186/s13677-018-0123-6ISI: 000452332000001Scopus ID: 2-s2.0-85057804579OAI: oai:DiVA.org:ltu-71908DiVA, id: diva2:1268467
Anmärkning

Validerad;2019;Nivå 2;2018-12-06 (svasva)

Tillgänglig från: 2018-12-05 Skapad: 2018-12-05 Senast uppdaterad: 2019-02-13Bibliografiskt granskad

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