Memory-Constrained Gateway for IoT Network Security
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Solution Overview
Problem
Home networks with IoT devices are vulnerable to security attacks due to unsecured APIs and delayed software updates, leaving smaller networks unprotected from malicious activities.
Innovation Solution
A memory-constrained gateway system that performs deep packet inspection, identifying and blocking malicious communication requests by verifying device types and signatures against a predetermined list, using hardware acceleration and communication rules to reduce processing power requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If deep packet inspection is implemented to detect and block malicious attacks, then network security is improved, but processing power requirements increase making smaller networks unable to protect themselves
Solution Approach 1:
The gateway divides incoming network traffic into different streams based on device type identification, then applies signature checking selectively to each stream. This segmentation allows the system to focus processing power on specific traffic patterns rather than inspecting all packets uniformly, reducing overall computational burden while maintaining security effectiveness.
Solution Approach 2:
The system applies different inspection depths and methods to different device types and traffic patterns. By identifying device types first, the gateway can apply appropriate signature databases and inspection rules tailored to each device category, optimizing processing efficiency for each local context rather than using a one-size-fits-all approach.
2Reliability
If deep packet inspection is performed on all traffic, then malicious signatures are detected, but processing time and resource consumption increase
Solution Approach 1:
The gateway performs device type identification and classification before applying signature-based malicious traffic detection. This preliminary action allows the system to prepare appropriate inspection rules and signature databases in advance, so that when actual signature checking occurs, it can be performed more efficiently with pre-filtered traffic streams.
Solution Approach 2:
The system applies signature checking selectively to identified device types rather than performing exhaustive inspection on all network traffic. By focusing inspection efforts on traffic from devices that match known vulnerable types, the system achieves effective malicious signature detection without the time cost of inspecting every packet in detail.
Data Source
AI summary
Systems and method of detecting and blocking malicious attacks on a computer network, including: receiving, by a memory constrained gateway in communication with the computer network, a communication request from at least one device, identifying the type of the at least one device based on the received communication request, verifying that the device is of an allowed type from a predetermined list of allowed device types, checking at least one signature of the received communication request of the allowed device to detect malicious signatures, and blocking communication requests from devices with at least one malicious signature.