A Blockchained AutoML Network Traffic Analyzer to Industrial Cyber Defense and Protection

【Author】 Papanikolaou, Alexandros; Alevizopoulos, Aggelos; Ilioudis, Christos; Demertzis, Konstantinos; Rantos, Konstantinos

【Source】ELECTRONICS

【影响因子】2.690

【Abstract】Network traffic analysis can raise privacy concerns due to its ability to reveal sensitive information about individuals and organizations. This paper proposes a privacy-preserving Block-chained AutoML Network Traffic Analyzer (BANTA). The system securely stores network traffic logs in a decentralized manner, providing transparency and security. Differential privacy algorithms protect sensitive information in the network flow logs while allowing administrators to analyze network traffic without the risk of leakages. The BANTA uses blockchain technology, where smart contracts automate the process of network traffic analysis, and a multi-signature system ensures the system's security, safety, and reliability. The proposed approach was evaluated using a real-world network traffic dataset. The results demonstrate the system's high accuracy and real-time anomaly detection capabilities, which makes it well-suited for scalable cybersecurity operations. The system's privacy protection, decentralized storage, automation, multi-signature system, and real-world effectiveness ensure that the organization's data is private, secure, and effectively protected from cyber threats, which are the most vexing issue of modern cyber-physical systems.

【Keywords】cyber threat intelligent; cyber threat information; network traffic analysis; industrial environment; blockchain; differential privacy

【发表时间】2023 MAR

【收录时间】2023-05-16

【文献类型】理论模型

【主题类别】

区块链应用-实体经济-计算机网络