Towards Double Defense Network Security Based on Multi-Identifier Network Architecture

Author:

Wang YunminORCID,Smahi Abla,Zhang Huayu,Li Hui

Abstract

Recently, more and more mobile devices have been connected to the Internet. The Internet environment is complicated, and network security incidents emerge endlessly. Traditional blocking and killing passive defense measures cannot fundamentally meet the network security requirements. Inspired by the heuristic establishment of multiple lines of defense in immunology, we designed and prototyped a Double Defense strategy with Endogenous Safety and Security (DDESS) based on multi-identifier network (MIN) architecture. DDESS adopts the idea of a zero-trust network, with identity authentication as the core for access control, which solves security problems of traditional IP networks. In addition, DDESS achieves individual static security defense through encryption and decryption, consortium blockchain, trusted computing whitelist, and remote attestation strategies. At the same time, with the dynamic collection of data traffic and access logs, as well as the understanding and prediction of the situation, DDESS can realize the situation awareness of network security and the cultivation of immune vaccines against unknown network attacks, thus achieving the active herd defense of network security.

Funder

National Keystone R&D Program of China

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Interoperable Defensive Strategies of Network Security Evaluation;IEEE Access;2024

2. A Brief Overview of Cyber Security Advances and Techniques Along With a Glimpse on Quantum Cryptography;Exploring Cyber Criminals and Data Privacy Measures;2023-09-07

3. The Design and Implementation of Software Defined Network Security Service Choreography System;2022 6th International Symposium on Computer Science and Intelligent Control (ISCSIC);2022-11

4. Network Security Situation Prediction Model Based on EMD and ELPSO Optimized BiGRU Neural Network;Computational Intelligence and Neuroscience;2022-06-21

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