Real-time IP Scanning via Protocol Analysis
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Solution Overview
Problem
Existing IP scanning technologies are time-consuming and resource-intensive, making it difficult to detect and identify harmful Internet entities that are present for a brief period, such as phishing sites and botnets.
Innovation Solution
A real-time IP scanning system that processes input to generate work orders, communicates with devices identified in the work orders, and uses protocol analyzers to determine device legitimacy by matching responses to expected strings, thereby identifying malicious devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional IP scanning technologies are used, then comprehensive network monitoring is achieved, but the scanning process becomes time-consuming and resource-intensive
Solution Approach 1:
The system pre-generates work orders and prepares scan configurations before actual scanning is needed. IP addresses and scan parameters are organized in advance, so when scanning is triggered, the system can immediately execute without time-consuming setup, thus reducing scan time while maintaining detection accuracy
Solution Approach 2:
The scanning process is divided into discrete work orders that can be processed independently and in parallel. Each work order represents a segmented unit of scanning activity, allowing the system to distribute and execute multiple scans simultaneously, reducing overall scan time while comprehensively monitoring network threats
2Reliability
If traditional IP scanning technologies are used, then network entities are monitored, but harmful entities present for brief periods cannot be detected
Solution Approach 1:
The system maintains continuous scanning operations through a queue of pre-generated work orders. Scanning activities run continuously without interruption, ensuring that even briefly-present malicious entities are captured. The workflow transitions smoothly from one scan to the next, eliminating gaps where threats could go undetected
Solution Approach 2:
The scanning system dynamically adapts its pace and resource allocation based on the queue of work orders and detected threats. The system can intensify scanning efforts when threats are detected and adjust resource distribution in real-time, enabling both high-speed detection and comprehensive monitoring of ephemeral malicious entities
3Measurement precision
If more scanning resources are allocated, then detection accuracy improves, but system resource consumption increases
Solution Approach 1:
The protocol analyzer automatically determines device legitimacy by comparing responses against expected strings without requiring extensive external validation resources. The system uses its own built-in protocols and comparison logic to self-validate device authenticity, reducing the need for additional external scanning resources while maintaining high determination accuracy
Solution Approach 2:
The system changes operational parameters dynamically based on work order requirements and detected threat levels. Scanning intensity, payload complexity, and validation depth are adjusted as parameters according to specific work order needs, allowing the system to maintain high detection accuracy while optimizing resource consumption for each specific scanning task
Data Source
AI summary
Examples of the present disclosure describe systems and methods of providing real-time scanning of IP addresses. In aspects, input may be received by a real-time IP scanning system. The system may generate one or more work orders based on the input. A scanner associated with the system may access a work order and attempt to communicate with one or more devices identified by the work order. If the attempted communication with a device is successful, a protocol analyzer may be used to provide a predefined payload to the device. If the response from the device matches an expected string, the device may be determined to be a safe and/or legitimate device. If the response from the device does not match an expected string, the device may be determined to be a malicious device.