Context-Aware Threat Management via Hostile Environment Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing device security measures are inadequate in addressing non-software based threats and multi-environment vulnerabilities, as they primarily focus on localized protection and fail to account for external and physical environment threats.
Innovation Solution
A context-aware proactive threat management system that utilizes a hostile environment detection module to assess threats by combining internal and external activity data, enabling automated and manual mitigation operations, and providing visualization to the user for informed decision-making.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If localized threat neutralization measures (virus protection, firewalls) are implemented, then device protection against software threats is improved, but protection against non-software threats and external environment threats deteriorates
Solution Approach 1:
The security system is transformed from specialized single-function modules (virus protection, firewall) into a universal multi-functional threat management platform. The centralized security module integrates multiple protection capabilities including software threat detection, physical environment monitoring, network security, and device control functions into one unified system that can adapt to various threat types.
Solution Approach 2:
A centralized security module acts as an intermediary between the device and multiple threat sources. This module receives and processes information from diverse sources (sensors, network, system logs) and coordinates responses across different protection layers, enabling unified management of both software and physical security threats.
2Ease of manufacture
If traditional security measures are used, then implementation simplicity is maintained, but ability to detect and respond to modern threats deteriorates
Solution Approach 1:
Traditional mechanical security measures (firewalls, antivirus signatures) are replaced with an intelligent system that uses sensors, data collection modules, and automated analysis. The system substitutes static rule-based protection with dynamic, context-aware threat detection that continuously monitors and adapts to emerging threats.
Solution Approach 2:
The security system incorporates automated self-diagnosis and self-response capabilities. The centralized module automatically analyzes collected data, identifies threats, and executes mitigation actions without requiring constant manual intervention, thereby maintaining ease of implementation while enhancing detection precision.
3Measurement precision
If comprehensive threat monitoring is implemented, then threat detection capability is improved, but system complexity increases
Solution Approach 1:
The comprehensive monitoring system is segmented into modular functional components: data collection modules, analysis modules, response modules, and visualization modules. Each module performs a specific function and can be independently configured, allowing the system to achieve comprehensive monitoring capability while maintaining manageable complexity through modular architecture.
4Speed
If automated mitigation operations are implemented, then response speed is improved, but user control and verification capability deteriorates
Solution Approach 1:
The automated mitigation system incorporates feedback mechanisms that provide real-time notifications to users about detected threats and actions taken. The system maintains automated rapid response while enabling user oversight through alerts, logs, and control interfaces that allow users to review and, if necessary, override automated decisions.
Data Source
AI summary
This disclosure is directed to a context-aware proactive threat management system. In general, a device may use internal activity data along with data about external activities (e.g., provided by remote resources) for threat assessment and mitigation. A device may comprise, for example, a hostile environment detection (HED) module to coordinate threat assessment and mitigation. The HED module may accumulate internal activity data (e.g., from security services in the device), and external activity data regarding a system environment and/or a physical environment from the remote resources. The HED module may then assess threats based on the activity data and determine automated and/or manual mitigation operations to respond to the threats. In one embodiment, visualization features may also be used to, for example, visualize threats to a user, visualize automatic/manual mitigation operations, request user confirmation regarding the performance of manual mitigation operations, etc.


