Security Indicator Sharing Platform with Privacy Preservation
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Solution Overview
Problem
Security information sharing platforms face challenges in effectively communicating security alerts and indicators within communities without disclosing sensitive information to other communities, as communities may not want to reveal their vulnerability to security threats.
Innovation Solution
The system enables a community to share security indicators with the platform while keeping contextual information private, allowing for alerts to be generated based on sightings of the indicators from other communities or threat intelligence providers, without disclosing the community's vulnerability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If communities share security indicators with the platform, then security information can be aggregated and alerts can be generated, but the community's vulnerability to security threats is disclosed to other communities
Solution Approach 1:
The patent extracts only the security indicator data (observable) from the community's security information while leaving the contextual information (indication of vulnerability) behind. This allows the platform to aggregate security indicators across communities without exposing which specific communities are vulnerable to threats.
Solution Approach 2:
The patent segments security information into two distinct components: security indicators (observables) that can be shared for threat detection, and contextual information (vulnerability indications) that remain private to each community. This segmentation enables selective sharing that protects community privacy while maintaining security threat awareness.
2Object-affected harmful factors
If communities remain private about their security threats, then vulnerability information is protected, but other communities cannot benefit from the security indicators
Solution Approach 1:
The patent introduces the security information sharing platform as an intermediary that receives security indicators from communities, strips away contextual vulnerability information, and redistributes anonymized security alerts to all communities. This intermediary enables information sharing while protecting community privacy.
Solution Approach 2:
The patent creates anonymized copies of security indicators that contain threat detection information but exclude community-identifying contextual information. These copied indicators can be shared across the platform without revealing the original community's vulnerability status.
3Reliability
If the platform aggregates security information from multiple communities, then comprehensive threat intelligence is achieved, but individual community privacy is compromised
Solution Approach 1:
The patent applies different quality requirements to different parts of security information: security indicators require high standardization and can be shared universally, while contextual information requires community-specific privacy protection. This local quality differentiation enables selective aggregation that maintains both threat intelligence reliability and community confidentiality.
Data Source
AI summary
Examples disclosed herein relate to alerts for communities of a security information sharing platform. Some examples may enable obtaining a security indicator from a user of a first community of a security information sharing platform that enables sharing of security information among a plurality of communities; including the security indicator in community-based security information associated with the first community, the first security indicator comprising a first observable; sharing the first security indicator with the security information sharing platform; obtaining, from the security information sharing platform, information related to sightings of the first observable; and providing a first alert to the first community based on the information related to the sightings of the first observable.


