Mitigation of Application Traffic DDOS Attacks with Trust and Am Based Hmm Models

Abstract

The increase in Internet-based transactions and communications offers new opportunities for hackers to disrupt business operations with DDoS attacks. Organizations that are not adequately protected risk losing customers, revenue, and their good reputations. This thesis discusses the challenges of identifying, countering, and avoiding crippling DDoS attacks. With the proposed comprehensive Self-Defending Network, organizations can deploy layers of defense to detect and mitigate the effects of DDoS attacks. The convenience, efficiency, and global reach of e-business benefit both consumers and businesses. But the accessibility of today's business operations brings increased security challenges. Legions of malicious hackers target e-commerce sites, online banks, partner networks, and Internet or e-mail servers seeking revenge or profit.