Authentication Technology in Internet of Things and Privacy Security Issues in Typical Application Scenarios
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TL;DR: Wang et al. as discussed by the authors proposed a user and device authentication model integrated with cloud computing, introduce an algorithm related to protocol design, and summarize the research direction of developing a more lightweight algorithm when designing security protocols in the future.
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Abstract: This paper mainly summarizes three aspects of information security: Internet of Things (IoT) authentication technology, Internet of Vehicles (IoV) trust management, and IoV privacy protection. Firstly, in an industrial IoT environment, when a user wants to securely access data from IoT sensors in real-time, they may face network attacks due to the data being transmitted through an open channel. In order to solve this problem, we innovatively propose a user and device authentication model integrated with cloud computing, introduce an algorithm related to protocol design, and summarize the research direction of developing a more lightweight algorithm when designing security protocols in the future. Secondly, for mobile IoT applications, such as IoV, information collection and distribution is realized by establishing a network between vehicles and infrastructure. IoV will face security threats such as information insecurity and privacy disclosure. We introduce a typical trust management model for the IoV, which solves the problem of information unreliability by storing vehicle trust values. In the future, we are committed to making the process of computing node credibility using a trust model more robust. Finally, aiming at the privacy protection of the IoV, we propose a cross-domain anonymous authentication system model based on blockchain. The user’s auxiliary authentication information is stored in the blockchain, and the auxiliary authentication information of any registered user can be obtained from the blockchain. The privacy protection of cross-domain authentication can be realized through anonymous authentication, which greatly saves the communication cost of cross-domain authentication. In the future, we will try to use deep learning or federated learning to integrate with blockchain for actual deployment.
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Citations
Secure WSN Architecture Utilizing Hybrid Encryption with DKM to Ensure Consistent IoV Communication
Umesh Kumar Lilhore,Sarita Simaiya,Surjeet Dalal,Yogesh Kumar Sharma,Shilpi Tomar,Arshad Hashmi +5 more
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Authentication protocols for securing IoMT: current state and technological advancements
Anuj Kumar Singh,Ankit Garg +1 more
- 01 Jan 2024
1
Understanding the Limitations of Authentication Protocols Employed by Existing Information Security Models for Networked Applications
Ritu Shree,Vivek Kumar,Prabhu A +2 more
- 29 Jan 2024
TL;DR: Authentication protocols employed by existing information protection models have limitations in securing digital networks and protecting confidentiality, integrity, and availability of data. They are susceptible to attacks, hard to apply and maintain, and can be bypassed by users.
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Deep-Reinforcement-Learning-Based Wireless IoT Device Identification Using Channel State Information
TL;DR: Wang et al. as discussed by the authors proposed an intelligent identification method based on deep reinforcement learning (DRL), which analyzed and extracted the features of the real received CSI information and a setting low-complexity state, as well as action and reward parameters for the deep neural network of deep RL oriented to the scenario, obtained an authentication method that can efficiently identify identities.
1
Lightweight Block and Stream Cipher Algorithm: A Review
Suaad Ali Abead,Nada Hussein M. Ali +1 more
TL;DR: Lightweight block and stream cipher algorithms are used to secure IoT applications. They reduce energy consumption, latency, and processing time. However, the security of such devices may be compromised by malicious programs. The best algorithms depend on the type of application used.
1
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