Abstract
Streathly Denial of Service (DDS) attacks are a complicated threat to the event. Now days, there are an increasing number of DDS attacks against on-line application and Web services. Detecting application layer DDS attack is a hard task. In this, its detection scenario based on the information theory depends on metrics. It has two phases: Behavior monitoring and Detection. In the first phase, the Web user commerce behavior is access from the system log during safe cases. Depends on the observation, Entropy of requests per session and the trust score for each user is evaluated. In the second phase, the suspicious requests are identified depends on the changes in entropy and a rate limiter is identified to downgrade services to malicious attackers. A scheduler is included to planning the session based on the trust score of the user and the system workload.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
