About this document
DDoS Attacks and Detection Methods by kazeminejad.neda is a document available to read on EtoBox.
This paper discusses Distributed Denial of Service (DDoS) attacks, which are coordinated efforts to overwhelm target systems by utilizing multiple compromised machines. It categorizes DDoS attacks based on various factors such as automation, exploited vulnerabilities, and attack dynamics, and reviews several detection mechanisms including artificial neural networks and entropy-based methods. The paper concludes with a comparison of these detection methods, highlighting their advantages and disadvantages.
- Author
- kazeminejad.neda
- Language
- EN