Publikationer från Malmö universitet
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On the Analysis of Semantic Denial-of-Service Attacks Affecting Smart Living Devices
Malmö universitet, Internet of Things and People (IOTAP). Malmö universitet, Fakulteten för teknik och samhälle (TS), Institutionen för datavetenskap och medieteknik (DVMT).ORCID-id: 0000-0003-0546-072X
Malmö universitet, Internet of Things and People (IOTAP). Malmö universitet, Fakulteten för teknik och samhälle (TS), Institutionen för datavetenskap och medieteknik (DVMT).ORCID-id: 0000-0002-8512-2976
Malmö universitet, Fakulteten för teknik och samhälle (TS), Institutionen för datavetenskap och medieteknik (DVMT). Malmö universitet, Internet of Things and People (IOTAP).ORCID-id: 0000-0003-0326-0556
2020 (Engelska)Ingår i: Intelligent Computing: Proceedings of the 2020 Computing Conference / [ed] Kohei Arai, Supriya Kapoor, Rahul Bhatia, Springer, 2020, Vol. 2Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

With the interconnectedness of heterogeneous IoT devices being deployed in smart living spaces, it is imperative to assure that connected devices are resilient against Denial-of-Service (DoS) attacks. DoS attacks may cause economic damage but may also jeopardize the life of individuals, e.g., in a smart home healthcare environment since there might be situations (e.g., heart attacks), when urgent and timely actions are crucial. To achieve a better understanding of the DoS attack scenario in the ever so private home environment, we conduct a vulnerability assessment of five commercial-off-the-shelf IoT devices: a gaming console, media player, lighting system, connected TV, and IP camera, that are typically found in a smart living space. This study was conducted using an automated vulnerability scanner – Open Vulnerability Assessment System (OpenVAS) – and focuses on semantic DoS attacks. The results of the conducted experiment indicate that the majority of the tested devices are prone to DoS attacks, in particular those caused by a failure to manage exceptional conditions, leading to a total compromise of their availability. To understand the root causes for successful attacks, we analyze the payload code, identify the weaknesses exploited, and propose some mitigations that can be adopted by smart living developers and consumers.

Ort, förlag, år, upplaga, sidor
Springer, 2020. Vol. 2
Serie
Advances in Intelligent Systems and Computing book series (AISC), ISSN 2194-5357, E-ISSN 2194-5365 ; 1229
Nyckelord [en]
DoS, IoT, OpenVAS, Smart home, Security, vulnerabilities, risks
Nationell ämneskategori
Datavetenskap (datalogi)
Identifikatorer
URN: urn:nbn:se:mau:diva-17692DOI: 10.1007/978-3-030-52246-9_32Scopus ID: 2-s2.0-85088500921ISBN: 978-3-030-52246-9 (digital)ISBN: 978-3-030-52245-2 (tryckt)OAI: oai:DiVA.org:mau-17692DiVA, id: diva2:1452877
Konferens
Computing Conference 2020
Tillgänglig från: 2020-07-08 Skapad: 2020-07-08 Senast uppdaterad: 2024-02-05Bibliografiskt granskad

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Bugeja, JosephJacobsson, AndreasSpalazzese, Romina

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Internet of Things and People (IOTAP)Institutionen för datavetenskap och medieteknik (DVMT)
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