Forensic Cloud Server for Evidence Integrity
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Solution Overview
Problem
Conventional cloud systems are vulnerable to security threats and breaches, lacking effective mechanisms to protect customer data and infrastructure, making forensic investigations in cloud environments challenging due to remote deployment models and shared resources.
Innovation Solution
A forensic cloud server system is introduced to manage forensic investigations by establishing service agreements, acquiring and generating records of client assets, and persisting evidence in a data store, enabling comprehensive forensic analysis and evidence generation in a cloud environment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional cloud systems are used with shared resources and remote deployment models, then cloud service accessibility and resource utilization are improved, but security vulnerability and forensic investigation difficulty increase
Solution Approach 1:
The system segments forensic investigations into modular components: forensic data handlers for data acquisition, forensic engines for analysis, and forensic record handlers for evidence management. This segmentation allows independent security hardening of each component while maintaining overall system accessibility and forensic capability in cloud environments.
Solution Approach 2:
The patent introduces forensic cloud servers as intermediary components between cloud service providers and forensic investigators. These servers act as trusted mediators that can access cloud resources remotely while implementing security controls, thus maintaining service accessibility while reducing direct security vulnerabilities.
2Productivity
If forensic data is acquired and stored in cloud environments with shared resources, then forensic investigation capability is improved, but data privacy and evidence integrity challenges increase
Solution Approach 1:
The system implements local quality by creating tenant-specific forensic data handlers and evidence records that are isolated to individual cloud tenants. Each tenant's forensic data is processed and stored with dedicated security policies, ensuring data privacy is maintained while enabling comprehensive forensic investigation capabilities across the cloud environment.
Solution Approach 2:
The patent applies preliminary anti-action by establishing forensic service agreements and security policies before forensic investigations begin. These pre-established agreements define data access rights, evidence handling procedures, and privacy protections in advance, preventing information loss or privacy breaches during the forensic investigation process.
3Adaptability or versatility
If multiple cloud service providers are involved in forensic investigations, then comprehensive evidence collection is improved, but agreement management and investigation coordination complexity increase
Solution Approach 1:
The system implements universality through a standardized forensic service interface that works across multiple cloud service providers. The interface uses common data formats, agreement structures, and communication protocols, allowing comprehensive evidence collection from multiple CSPs while reducing the complexity of managing provider-specific agreements and coordination.
Data Source
AI summary
In accordance with aspects of the disclosure, systems and methods are provided for managing forensic investigations of client assets associated with a client based on a forensic service agreement between the client and a cloud service provider, including establishing the forensic service agreement between the client and the cloud service provider for servicing the forensic investigations of the client assets associated with the client, acquiring forensic data related to each client asset associated with the client, and generating one or more client inventory records for each client asset based on the forensic data related to each client asset, and generating one or more client evidence records for each client asset based on each client inventory record generated for each client asset.