Issues and Implementation Strategies of the IoT (Internet of Things) Industry

Seungjun, Yeon; Jun, Hyo-Jung

doi:10.1109/imis.2016.52

Cited by 4 publications

(1 citation statement)

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“…IoT aims to connect kinds of devices to the Internet so that these devices can connect to networks at any time, any place, and any path. Common used IoT application scenarios include smart city [2], connected building [3], connected industry [4], connected car [5], connected health [6] and smart energy [7] and so on. According to the prediction from GSMA Intelligence, the globally total number of IoT connections will reach 25.2 billion in 2025, up from 6.3 billion in 2017 [8].…”

Section: Introductionmentioning

confidence: 99%

A Reputation Value-Based Early Detection Mechanism Against the Consumer-Provider Collusive Attack in Information-Centric IoT

Zhi

Liu

2020

IEEE Access

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As the Internet of Things (IoT) has connected large number of devices to the Internet, it is urgently needed to guarantee the low latency, security, scalable content distribution of the IoT network. The benefits of Information-Centric Networking (ICN) in terms of fast and efficient data delivery and improved reliability have raised ICN as a highly promising networking model for IoT environments. However, with the widely spread of the viruses and the explosion of kinds of network devices, the attackers can easily control the devices to form a botnet such as the Mirai. Once the devices are under control, the attackers can launch a consumer-provider collusive attack in the Information-Centric IoT context. In this attack, the malicious clients issue Interest packets that can only be satisfied by the malicious content provider, and the malicious provider replies to the clients just before exceeding the Pending Interest Table entry's expiration time, to occupy the limited resources. In this paper, we expound the model of the consumer-provider collusive attack and analyze the negative effect of the attack. Then we propose a Reputation Value based Early Detection (RVED) mechanism to relieve the impact of the collusive attack. The method aims to adjust the packet dropping rates of different interfaces based on their reputation value, thus to protect the legitimate packets from being dropped as possible. We implement the consumer-provider collusive model and evaluate our defend mechanism in the simulator, and simulation results verify the feasibility and effectiveness against the collusive attack of the RVED mechanism.INDEX TERMS Information-centric networking, Internet of Things, collusive attack, reputation value, early detection.

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