Security System for Connected Devices Using Distributed Data Mining
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Solution Overview
Problem
The increasing connectivity of everyday objects, such as vehicles and household devices, makes them vulnerable to information attacks, and existing security systems lack effective methods for identifying and mitigating severe or widespread information attacks across multiple devices.
Innovation Solution
A security system and method that uses a communication interface to transmit and evaluate characteristic data from security devices, employing data mining techniques and authentication to recognize and respond to critical information attacks, and provide protection measures to connected devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If security devices store and transmit characteristic data from multiple devices to a central unit for evaluation, then the ability to identify critical information attacks is improved, but the complexity of the security system increases
Solution Approach 1:
The security system is segmented into distributed security devices at individual devices and a central evaluation unit. Each security device independently collects and stores characteristic data locally, then transmits it to the central unit for evaluation. This segmentation allows the system to maintain high security through centralized analysis while keeping individual device complexity low.
Solution Approach 2:
A central evaluation unit acts as an intermediary that receives characteristic data from multiple distributed security devices, performs data mining and evaluation, and generates control commands. This intermediary consolidates the complexity of data analysis and attack identification at a centralized location, allowing individual security devices to remain simple while achieving system-wide security improvement.
2Measurement precision
If data mining techniques are used to evaluate characteristic data and identify critical attacks, then the precision of attack detection is improved, but the processing time and computational resources increase
Solution Approach 1:
Characteristic data is collected and stored in advance in non-volatile memory at each security device before transmission to the central unit. This preliminary action allows the system to accumulate sufficient data for accurate data mining analysis without requiring real-time processing at the source devices, thereby improving detection precision while managing processing time constraints.
Solution Approach 2:
The patent replaces complex real-time mechanical processing at distributed devices with centralized data mining techniques. By substituting local computational mechanics with centralized statistical and machine learning methods, the system achieves high detection precision through sophisticated analysis of accumulated characteristic data from multiple devices.
3Speed
If characteristic data are transmitted directly without time delay to the unit, then the response time to information attacks is improved, but the risk of data interception and security vulnerabilities increases
Solution Approach 1:
The system applies preliminary anti-action by implementing authentication mechanisms and secure communication protocols before data transmission occurs. Security measures are established in advance to prevent interception and unauthorized access, allowing rapid data transmission while pre-emptively countering potential security threats.
Solution Approach 2:
The patent converts the potential harm of rapid data transmission (security vulnerabilities) into a benefit by using the transmission necessity to drive the development of more robust authentication and encryption mechanisms. The urgent need for fast attack response促使 the system to implement stronger security measures that protect against interception while maintaining transmission speed.
Data Source
AI summary
A method for protecting a device from information attacks, in which received from the at least one device are checked by a security device, included in the at least one device, for an information attack, and for the case that the received data are associated with an information attack, characteristic data concerning the information attack are stored in the at least one device and transmitted via a communication interface to a unit in communicative connection with a plurality of devices, and the unit evaluates the characteristic data transmitted from the at least one device and outputs a warning message to at least a portion of the devices in communicative connection with the unit as a function of at least one predefined criterion.