Visual Malicious Activity Detection for Secure Network Data Protection
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Solution Overview
Problem
There is a need to prevent the transmission of sensitive or misleading information from secure networks to unauthorized locations, as employees with legitimate access can inadvertently or maliciously send confidential information outside the network, and unauthorized access can lead to data breaches.
Innovation Solution
A system comprising a camera, storage device, and processor that captures images of the end user, determines their identity, and applies a malicious activity filter to detect suspicious behavior, such as facial expressions and gestures, to prevent the transmission of sensitive information by delaying or blocking data transfers to external locations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If facial recognition and behavior monitoring systems are implemented to detect suspicious activity, then data security is improved, but device complexity and user privacy concerns increase
Solution Approach 1:
The camera system serves multiple functions: capturing user images for facial recognition, monitoring facial expressions for emotion detection, and tracking gestures for behavior analysis. By consolidating these security-related functions into a single multi-functional component, the system achieves comprehensive security monitoring without proportionally increasing overall system complexity
Solution Approach 2:
A malicious activity filter acts as an intermediary layer between the captured visual data and the security decision-making process. This filter processes images and video feeds to identify suspicious patterns, thereby simplifying the complexity of direct analysis by providing pre-processed security-relevant information to the system
2Object-affected harmful factors
If continuous monitoring of user behavior is performed to prevent data transmission, then security against unauthorized transmission is improved, but loss of time and processing overhead increase
Solution Approach 1:
The system performs preliminary analysis of user behavior patterns, facial expressions, and gestures before actual data transmission occurs. By detecting suspicious activities in advance and implementing preventive measures, the system avoids the need for time-consuming post-transmission security checks and response actions
Solution Approach 2:
The malicious activity filter rapidly processes visual data to quickly identify suspicious patterns, enabling the system to bypass normal transmission protocols only when necessary. This selective approach minimizes processing time by not continuously blocking all transmissions while still maintaining security through targeted intervention
3Measurement precision
If facial expression analysis is used to detect user intent, then detection accuracy of malicious activity is improved, but difficulty of detecting and measuring increases
Solution Approach 1:
The system transforms complex facial expression data into simplified emotional state parameters (such as stress level, engagement level, or emotional valence) that can be more easily analyzed for malicious intent. By changing the parameter representation from raw pixel data to meaningful emotional indicators, the system improves detection accuracy while reducing analytical complexity
Solution Approach 2:
The system creates simplified representations or models of facial expressions that capture the essential features relevant to detecting malicious intent without requiring analysis of all facial muscle movements. This copying approach maintains detection accuracy by preserving key diagnostic features while reducing the overall complexity of measurement
Data Source
AI summary
Methods for preventing the transmission of sensitive information to locations outside of a secure network by a person who has legitimate access to the sensitive information are described. In some embodiments, in order for an end user of a computing device to establish a secure connection with a secure network and access data stored on the secure network, a client application running on the computing device may be required by the secure network. The client application may monitor visual cues (e.g., facial expressions and gestures) associated with the end user, detect suspicious activity performed by the end user based on the visual cues, and in response to detecting suspicious activity may perform mitigating actions to prevent the transmission of sensitive information such as alerting human resources personnel or requiring authorization prior to sending information to locations outside of the secure network.