Infection Detection via Behavior Pattern Analysis
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Solution Overview
Problem
Existing security measures are inadequate in detecting and preventing malicious infections of user devices interacting with network-accessible services, as malicious entities can evade detection and removal by circumventing safeguards.
Innovation Solution
A system that assesses the likelihood of user device infection by analyzing patterns of activity and network interactions, using an item management module to control access to network services based on infection levels, providing different interaction levels (unrestricted, restricted, security procedure, or denial of access) to mitigate threats.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a clean-up module scans memory to detect undesirable items using known signatures, then detection capability is provided, but malicious items can be designed to circumvent these safeguards and evade detection
Solution Approach 1:
Instead of scanning for known malicious signatures, the system inverts the approach by monitoring for abnormal behaviors and patterns that indicate infection. The item management module observes system operations and identifies undesirable items through their actions rather than their static characteristics, making evasion through signature modification ineffective.
Solution Approach 2:
The system implements continuous feedback loops where the item management module monitors system behavior, detects anomalies, and dynamically adjusts detection strategies. When suspicious patterns are detected, the system responds by escalating security measures or blocking operations, creating a adaptive defense mechanism that evolves against new threats.
2Productivity
If access to network services is unrestricted, then service availability is maintained, but infected devices can continue to propagate threats and cause damage
Solution Approach 1:
The item management module acts as an intermediary layer between user devices and network services. It monitors and controls access by intercepting operations, assessing risk levels, and selectively permitting or blocking requests. This mediator approach maintains service availability for legitimate users while preventing infected devices from propagating threats.
Solution Approach 2:
The system implements dynamic access control where permission levels adjust in real-time based on detected infection likelihood. Rather than static allowed/denied lists, the system continuously evaluates device states and modifies access privileges accordingly, enabling flexible balance between availability and security.
3Reliability
If strict security measures are implemented to prevent infection, then security level is improved, but legitimate user operations may be blocked or restricted
Solution Approach 1:
The system applies differentiated security measures to different operations and devices based on their risk profiles. Rather than uniform strict controls, the item management module tailors security intensity to specific contexts, allowing smooth operation for low-risk legitimate activities while applying stringent controls only where necessary to block threats.
Data Source
AI summary
Functionality is described for addressing a threat to the security of a user device that utilizes a network-accessible service. The functionality operates by assessing the likelihood that the user device is infected by the undesirable item. When the user device makes a request to access the network-accessible service, the functionality can interact with the user device in a manner that is governed by the assessed likelihood that the user device is infected by the undesirable item.