Device-Sphere Security Policy Inversion for Zero-Day Threats
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The proliferation of diverse computing devices within an individual's device-sphere makes it challenging to effectively block numerous and especially zero-day attacks, as existing security measures often fail to recognize and prevent risky behavior from remotely located devices.
Innovation Solution
Devices within the device-sphere recognize and monitor risky behavior, allowing users to decide on and store preferences regarding such behavior, which are then applied across all connected devices, enabling users to prevent undesirable actions even if not detected by traditional anti-virus or security tools.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional anti-virus or security tools are used to detect and block attacks, then known threats can be prevented, but zero-day attacks and unrecognized risky behavior cannot be detected or blocked
Solution Approach 1:
Instead of relying on security tools to proactively detect and block all threats, the system inverts the approach by allowing potentially risky behavior to occur and then presenting it to the user for approval. This reverses the traditional security model from prevention-based to user-approval-based, enabling the system to handle unknown threats (zero-day attacks) that traditional detection methods cannot recognize.
Solution Approach 2:
The system implements feedback by monitoring risky behavior, presenting it to the user, and using the user's decision to update security policies. The user's approval or rejection of specific behaviors creates a feedback loop that continuously improves the system's ability to recognize and respond to new threats, adapting to zero-day attacks and evolving security requirements.
2Reliability
If user approval is required for every risky behavior, then security can be enhanced, but user convenience and system operation speed decrease
Solution Approach 1:
The system performs preliminary action by pre-establishing security policies and monitoring mechanisms that automatically detect risky behavior. When risky behavior is detected, the system has already prepared the approval prompt and can present it to the user immediately, reducing the interaction burden while maintaining security control.
Solution Approach 2:
The system applies partial action by requiring user approval only for specific risky behaviors rather than all system operations. Common, low-risk operations can proceed automatically based on established policies, while only potentially harmful actions trigger user approval prompts, balancing security with user convenience.
3Adaptability or versatility
If security policies are device-specific, then precise control over each device is achieved, but managing security across multiple devices becomes complex
Solution Approach 1:
The system implements universality by creating security policies that can be applied across multiple devices simultaneously. A single user approval decision can generate policies that protect the approving device and potentially other devices in the user's device-sphere, reducing the complexity of managing security across multiple devices while maintaining device-specific control where needed.
Solution Approach 2:
The system merges security policy management by consolidating control across multiple devices through a centralized user interface. Instead of requiring separate policy management for each device, the system combines policy creation and enforcement into a unified approach where user decisions automatically apply appropriate policies to relevant devices, simplifying multi-device security management.
Data Source
AI summary
Devices of an individual's device-sphere recognize risky or undesirable behavior requested by devices outside of the device-sphere and allow the user to prevent the behavior. The user's decision is stored and used to protect all devices of the user's device-sphere from similar risky behavior from the outside devices. If the choice is made for all devices of the user's device-sphere, the choice is broadcast to other devices of the user's device-sphere such that other devices can benefit from the choice made by the user.