Cloud Forensics Orchestration for Ephemeral Instance Evidence
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Solution Overview
Problem
As infrastructure and platforms transition to cloud-hosted environments, traditional forensic investigative methodologies become less relevant, and organizations may face increased information exposure risks due to reliance on third-party services, lacking the necessary solutions for forensic investigative support during incident response lifecycles.
Innovation Solution
A system and method for digital cloud forensics are implemented, comprising an orchestration layer, an acquisition microservice, a forensic data processor, and an analysis processor, which execute logic to acquire and process forensic artifacts, apply data mining and classification algorithms, and utilize a central data repository, interactive user interface, and Virtual Private Cloud (VPC) to manage and analyze data within cloud platforms, accounting for ephemeral and elastic instances.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional forensic investigative methodologies are used in cloud environments, then forensic analysis can be performed, but the analysis becomes less relevant and effective due to the ephemeral and elastic nature of cloud instances
Solution Approach 1:
The system dynamically adapts to the ephemeral nature of cloud instances by implementing real-time forensic artifact collection and virtual machine snapshotting. The forensic analysis platform continuously monitors and captures data from cloud environments before instances are terminated, ensuring forensic effectiveness is maintained despite the transient nature of cloud computing resources.
Solution Approach 2:
The system performs preliminary forensic artifact collection and data snapshotting before cloud instances are terminated or modified. By proactively capturing forensic artifacts, memory dumps, and disk images in advance, the system ensures that evidence is preserved before the ephemeral instances disappear, resolving the contradiction between traditional forensic methods and cloud's transient nature.
2Adaptability or versatility
If reliance on third-party cloud services is increased, then infrastructure flexibility and scalability are improved, but information exposure risk increases
Solution Approach 1:
The system introduces a specialized intermediary layer - the forensic analysis platform - that operates between the cloud service provider and the organization. This intermediary continuously collects, preserves, and analyzes forensic artifacts from cloud environments, creating a secure bridge that enables forensic investigation without requiring direct access to third-party cloud infrastructure, thus reducing information exposure risk while maintaining infrastructure flexibility.
3Productivity
If cloud instances are made elastic and ephemeral to improve resource efficiency, then cost and resource utilization are improved, but forensic investigation capability is reduced
Solution Approach 1:
The system creates virtual copies of cloud instances through snapshotting and artifact collection. By making copies of forensic artifacts, memory states, and disk images before instances are terminated, the system preserves forensic investigation capability while allowing the original elastic and ephemeral cloud instances to be efficiently reused. This copying approach decouples resource efficiency from forensic investigability.
Solution Approach 2:
The system performs preliminary capture and preservation of forensic artifacts before cloud instances are terminated or reassigned. By proactively collecting evidence in advance, the system ensures forensic investigation capability is maintained while allowing cloud instances to remain elastic and ephemeral for maximum resource utilization efficiency.
4Reliability
If service level agreements are enforced with third-party cloud providers, then service reliability is improved, but data confidentiality and forensic access are limited
Solution Approach 1:
The system enables organizations to self-perform forensic analysis on their cloud data without requiring direct access to third-party cloud provider infrastructure. The forensic analysis platform autonomously collects artifacts, processes data, and conducts investigations independently, maintaining data confidentiality while ensuring service reliability through SLA-compliant operations.
Solution Approach 2:
The forensic analysis platform acts as an intermediary that operates within the constraints of service level agreements while preserving data confidentiality. It collects and analyzes forensic artifacts through approved cloud interfaces, enabling forensic investigation without violating SLA terms or exposing sensitive data to unauthorized access.
Data Source
AI summary
The invention relates to digital cloud forensics. An embodiment of the present invention applies collection processes and tools to cloud infrastructure as a service to provide a more efficient and faithful representation of evidence. An embodiment of the present invention applies innovative concepts to retrospectively investigate ephemeral instances which may have long since terminated. This innovative process provides organizations a strategy to provide forensic investigations within either a public or private cloud environment.