DETECTION AND PREVENTION MECHANISMS FOR DDOS ATTACK IN BWSN COMPUTING ENVIRONMENT

Distributed Denial of Service (DDoS) attacks pose a significant threat to the integrity and availability of network infrastructure, including in the context of Broadband Wireless Sensor Networks (BWSN) computing. This abstract provides an overview of the detection and prevention mechanisms that can be employed to mitigate the impact of DDoS attacks in BWSN computing environments. The abstract begins by emphasizing the importance of DDoS attack detection and prevention in BWSN computing, highlighting the potential risks and vulnerabilities associated with these attacks. It then explores a range of mechanisms that can be employed to address this challenge. The first set of mechanisms discussed focuses on traffic monitoring techniques, including real-time analysis of network traffic patterns, utilization of intrusion detection or prevention systems, and flow-based detection methods. These techniques enable the identification of abnormal or malicious traffic patterns, facilitating the timely detection of DDoS attacks. The abstract then introduces rate limiting as an effective strategy for controlling the flow of incoming and outgoing traffic. By setting thresholds for specific traffic parameters and limiting excessive traffic, the impact of DDoS attacks can be mitigated.