DDoS Attacks in Cloud Computing: Issues, Taxonomy, and Future Directions
Gaurav Somani, Manoj Singh Gaur, Dheeraj Sanghi, Mauro Conti and, Rajkumar Buyya

TL;DR
This paper provides a comprehensive survey of DDoS attack issues in cloud computing, including characterization, detection, mitigation, and future research directions, emphasizing the need for utility-aware, multi-layer defense solutions.
Contribution
It offers a novel taxonomy of DDoS mitigation solutions and guidelines for designing effective defense mechanisms tailored for cloud environments.
Findings
Highlighting the importance of auto-scaling and multi-layer mitigation.
Identifying key metrics for evaluating DDoS solutions.
Emphasizing the need for resource-aware defense strategies.
Abstract
Security issues related to the cloud computing are relevant to various stakeholders for an informed cloud adoption decision. Apart from data breaches, the cyber security research community is revisiting the attack space for cloud-specific solutions as these issues affect budget, resource management, and service quality. Distributed Denial of Service (DDoS) attack is one such serious attack in the cloud space. In this paper, we present developments related to DDoS attack mitigation solutions in the cloud. In particular, we present a comprehensive survey with a detailed insight into the characterization, prevention, detection, and mitigation mechanisms of these attacks. Additionally, we present a comprehensive solution taxonomy to classify DDoS attack solutions. We also provide a comprehensive discussion on important metrics to evaluate various solutions. This survey concludes that there…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
