Enhancing Cloud Computing Analysis: A CCE-Based HTTP-GET Log Dataset

The Hypertext Transfer Protocol (HTTP) is a common target of distributed denial-of-service (DDoS) attacks in today's cloud computing environment (CCE). However, most existing datasets for Intrusion Detection System (IDS) evaluations are not suitable for CCEs. They are either self-generated or are not representative of CCEs, leading to high false alarm rates when used in real CCEs. Moreover, many datasets are inaccessible due to privacy and copyright issues. Therefore, we propose a publicly available benchmark dataset of HTTP-GET flood DDoS attacks on CCEs based on an actual private CCE. The proposed dataset has two advantages: (1) it uses CCE-based features, and (2) it meets the criteria for trustworthy and valid datasets. These advantages enable reliable IDS evaluations, tuning, and comparisons. Furthermore, the dataset includes both internal and external HTTP-GET flood DDoS attacks on CCEs. This dataset can facilitate research in the field and enhance CCE security against DDoS attacks.

Automated summary

This research proposes a publicly available benchmark dataset based on an actual cloud computing environment for evaluating and improving the detection system of distributed denial-of-service attacks. The dataset has the advantages of trustworthiness and validity, enabling reliable evaluations and comparisons. It includes both internal and external HTTP-GET flood DDoS attacks, aiming to enhance the security of cloud computing environments.