Specious Data Defense for Cloud Service Security
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Computer systems face challenges in protecting data from unauthorized access while ensuring uninterrupted access for authorized parties, as existing security measures are often breached, leading to economic impacts and operational disruptions.
Innovation Solution
Implementing a system that generates and provides specious data in response to unauthorized access requests, using triggers such as authentication failures or malformed queries, and employs tarpiting techniques and Data Loss Prevention (DLP) to delay and detect attacks, with specious data generated based on grammars and rules to mimic actual data attributes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional security measures are implemented to protect data, then data security is improved, but the system becomes vulnerable to sophisticated attacks that can still breach security and cause economic losses
Solution Approach 1:
The system converts harmful attack attempts into beneficial security enhancements by analyzing attack patterns to improve detection capabilities and generate more effective specious data responses that confuse and delay attackers
Solution Approach 2:
The system creates copies of legitimate data (specious data) that mimic real data attributes to confuse attackers. These fake data copies are generated based on grammars and rules that replicate the structure and appearance of actual data, making it difficult for attackers to distinguish between real and fabricated information
2Reliability
If security measures are strengthened to prevent unauthorized access, then data protection is improved, but authorized access may be interrupted or delayed
Solution Approach 1:
The system applies different response qualities to different access requests based on their characteristics. Legitimate requests receive normal service, while suspicious requests receive specious data responses. This localized differentiation allows the system to maintain normal operations for authorized users while providing enhanced protection against attackers
Solution Approach 2:
The system introduces an intermediary layer that analyzes access requests and generates appropriate responses. This intermediary component sits between the attacker and the actual data, filtering and transforming requests to protect data while maintaining legitimate access through the same interface
3Productivity
If the system provides detailed data to satisfy access requests, then data availability is improved, but attackers can more effectively exfiltrate and utilize the data
Solution Approach 1:
The system generates copies of data that replicate the structure, format, and apparent validity of real data. These specious data copies satisfy attacker requests for detailed information while containing no actual valuable data, thereby maintaining data availability for legitimate purposes while preventing effective exfiltration
Solution Approach 2:
The system changes the parameters of data responses based on the characteristics of access requests. For suspicious requests, the system modifies data parameters to create specious responses that appear legitimate but contain fabricated information, thereby changing the quality of data provided without affecting the quantity or structure expected by attackers
Data Source
AI summary
A request to access a computing resource of a computing resource service provider is determined to be associated with specious data previously generated by the computing resource service provider. Information about an entity associated with the request is determined from the request. The information is provided to a breach detection system as notification of a potential attack against the computing resource service provider.