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학술대회 Proposal of Smart Segmentation Framework for preventing threats from spreading in IoT
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저자
임재덕, 손선경, 김정녀
발행일
202010
출처
International Conference on Information and Communication Technology Convergence (ICTC) 2020, pp.1757-1759
DOI
https://dx.doi.org/10.1109/ICTC49870.2020.9289632
협약과제
20HR2600, (2세부) IoT 인프라 공격 확산 방어를 위한 상황 적응형 보안 자율제어 기술개발, 김정녀
초록
With the expansion of IoT infrastructure and related services, security incidents exploiting vulnerabilities in IoT devices are increasing. In particular, IoT devices are relatively vulnerable to security due to their resource-constrained nature and have recently become the target of attacks by hackers. The most representative is the spread of malware such as Mirai, which creates a massive IoT botnet and then causes distributed denial of service attacks, and its variants and new malicious codes are continuously increasing. One of the ways to mitigate distributed denial of service attacks is to render the creation of massive IoT botnets difficult by preventing the spread of malicious code that issues the attacks. This paper proposes a smart segmentation framework that controls the network access through segment units configured with various devices attributes, network information and service types to prevent the spread of threats within the IoT networks.
KSP 제안 키워드
Distributed Denial of Service attacks, Distributed denial-of-service(DDoS), IoT Devices, IoT botnets, IoT network, Malicious code, Massive IoT, Network information, Resource-constrained, Security incidents, denial of service(DoS)