DDoS Attack Defense in Big Data-oriented Urban Rail Transit Safety Evaluation System

Abstract

Big data technology is playing an increasingly important role in the safety evaluation of urban rail transit, which can help improve the safety and reliability of the transportation system. However, such a big data system will also become the target of attackers, especially in the face of DDoS attacks, its stability and availability may be greatly affected. Various attacks against the Internet have become a major concern among the many flaws of the contemporary Internet. Unfortunately, attacks against the Internet continue to grow more sophisticated, unpredictable, and unstoppable. At present, many researchers have devoted themselves to the research of DDoS defense solutions, and it is necessary to summarize the existing research on DDoS defense work and the technologies used in it. In this article, we introduce the process of DDoS attacks, and summarize the characteristics, mechanism and weaknesses of various DDoS attacks according to the network layer where the attack is located. Finally, defending against DDoS attacks is crucial to the big data-based urban rail transit security evaluation system. This paper summarizes the content of this paper and discusses some open issues in the field of network intrusion detection.