Remote Login Session Analysis for Slow Attack Detection

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Solution Overview

Problem

Existing remote desktop systems lack effective detection mechanisms for slow attack behaviors such as low-frequency and distributed brute force attacks, compromising the security of remote login systems.

Innovation Solution

An information processing method and apparatus that identifies session characteristics and security protocol types to determine login status by comparing session characteristics with thresholds, enabling detection of attack behaviors across multiple time scales and improving security.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If traditional remote desktop protocols are used without enhanced detection mechanisms, then the system maintains simplicity and ease of operation, but it fails to detect slow attack behaviors such as low-frequency and distributed brute force attacks

Engineering Contradiction:
ImprovesecurityVSAvoiddetection mechanism complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent segments the login detection process into multiple independent components: session characteristic identification, security protocol type identification, threshold determination, and login status determination. Each component operates independently but contributes to the overall detection system, allowing the complex security detection to be broken down into manageable, modular units that can be implemented and maintained separately.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent performs preliminary identification of session characteristics and security protocol types before making the final login status determination. By pre-identifying these attributes and pre-determining thresholds based on security protocol types, the system prepares detection criteria in advance, enabling faster and more accurate real-time login status assessment without adding complexity to the core authentication flow.

Inventive Principle:
Principle #10Preliminary action

2Measurement precision

If session characteristic analysis is performed for every login attempt, then the precision of attack detection is improved, but the processing time and system resource consumption increase

Engineering Contradiction:
Improvelogin status detection accuracyVSAvoidlogin processing time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent performs preliminary identification of session characteristics and security protocol types, and pre-determines thresholds based on security protocol types before the actual login status determination. This advance preparation allows the system to quickly compare pre-identified characteristics against pre-established thresholds, significantly reducing the time required for real-time login status assessment while maintaining high detection accuracy.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent applies different detection thresholds and analysis methods based on the specific security protocol type identified for each session. Rather than using a uniform detection approach for all logins, the system tailors the detection precision and threshold criteria to the specific protocol being used, optimizing the balance between detection accuracy and processing efficiency for each protocol type.

Inventive Principle:
Principle #3Local quality

Data Source

PatentEP4113931B1Information processing method and apparatus, device, and storage medium
Publication Date: 2024.01.31 SANGFOR TECH INC
  • EP4113931B1 patent drawingFigure 1~2A
  • EP4113931B1 patent drawingFigure 2B~3A
  • EP4113931B1 patent drawingFigure 3B~3C

AI summary

Disclosed are an information processing method and apparatus, a device, and a storage medium. The method comprises: for a login behavior from a target source address, recognizing whether the type of a protocol used by a session corresponding to the login behavior is a target protocol type; if the type of the protocol used by the session corresponding to the login behavior is the target protocol type, parsing a data packet for the session on the basis of the target protocol type to extract session features of the session; and inferring the login state of the login behavior according to the session features.