A Decentralized Multi-ruling Arbiter for Cyberspace Mimicry Defense
| Autor: | Chun-Ming Wu, Congqi Shen, Shuang-Xi Chen |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
0209 industrial biotechnology
Correctness Computer science Arbiter Hardware_PERFORMANCEANDRELIABILITY 02 engineering and technology Computer security computer.software_genre 01 natural sciences 010305 fluids & plasmas Attack model 020901 industrial engineering & automation Injection attacks 0103 physical sciences Key (cryptography) Arbitration Cyberspace computer Iteration process |
| Zdroj: | ISNCC |
| DOI: | 10.1109/isncc.2019.8909197 |
| Popis: | Cyberspace Mimicry Defense (CMD) has been widely used to achieve intrusion prevention against unknown system vulnerabilities or backdoors. The multi-ruling arbiter is a key part in CMD. This paper focuses on the problem of multi-ruling arbiter under data injection attack from the perspective of attacker and defender. We build a decentralized multi-ruling arbiter model for arbitration and introduced a standard iteration process to achieve consensus without attackers. We describe two data injection attack models for decentralized multi-ruling arbiter, namely random data injection attack and stealthy data injection attack. Further, we characterize the negative effect of the data injection attack on the performance of multi-ruling correctness. In order to mitigate the negative effect of random data injection attack, we propose a reliable multi-ruling arbitration approach based on adaptive threshold. By cutting future communication with the malicious neighbor, the decentralized multi-ruling arbiter is robust against random data injection attacks. Simulation results show that the proposed arbitration approach can effectively defend against random data injection attacks. |
| Databáze: | OpenAIRE |
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