SecLaaS: Secure Logging-as-a-Service for Cloud Forensics
Shams Zawoad, Amit Kumar Dutta, Ragib Hasan

TL;DR
SecLaaS introduces a secure cloud logging service that preserves user privacy and log integrity, facilitating forensic investigations in cloud environments without compromising security.
Contribution
The paper presents SecLaaS, a novel system that ensures confidentiality and integrity of cloud logs for forensic purposes, addressing privacy and trust issues in log sharing.
Findings
Implemented SecLaaS in OpenStack for network logs
Demonstrated feasibility and security of the scheme
Ensured log confidentiality and integrity
Abstract
Cloud computing has emerged as a popular computing paradigm in recent years. However, today's cloud computing architectures often lack support for computer forensic investigations. Analyzing various logs (e.g., process logs, network logs) plays a vital role in computer forensics. Unfortunately, collecting logs from a cloud is very hard given the black-box nature of clouds and the multi-tenant cloud models, where many users share the same processing and network resources. Researchers have proposed using log API or cloud management console to mitigate the challenges of collecting logs from cloud infrastructure. However, there has been no concrete work, which shows how to provide cloud logs to investigator while preserving users' privacy and integrity of the logs. In this paper, we introduce Secure-Logging-as-a-Service (SecLaaS), which stores virtual machines' logs and provides access to…
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Taxonomy
TopicsDigital and Cyber Forensics · Advanced Malware Detection Techniques · Cloud Data Security Solutions
