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Flow analysis-based IOS malicious software early warning and detection system and method

A malware and traffic analysis technology, applied in the field of information security, can solve problems such as incomplete solutions, errors in malware research and judgment, large resource consumption, etc., and achieve the effects of small detection range, improved research and judgment efficiency, and simple detection rules

Inactive Publication Date: 2017-08-25
WUHAN HONGXU INFORMATION TECH
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, domestic malware detection methods for the IOS platform are still in the exploratory stage, especially for the detection of non-jailbroken mobile phones and infected applications without a complete solution, there are problems such as lag, large resource consumption, slow response, and wrong judgments on malware.

Method used

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  • Flow analysis-based IOS malicious software early warning and detection system and method

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Embodiment Construction

[0065] Below in conjunction with accompanying drawing and embodiment describe in detail:

[0066] 1. System

[0067] 1. Overall

[0068] Such as figure 1 , the system includes an IOS mobile phone terminal detection unit 10 and a server terminal detection unit 20;

[0069] The IOS mobile phone terminal detection unit 10 is a function set of a malicious software prediction system based on user online behavior analysis and application traffic analysis, including a data traffic collection module 11, a machine learning module 12, and a traffic behavior detection module 13 , The malware prediction module 14 and the early warning module 15, based on the background comprehensive analysis system, build a malware library, continuously optimize the sample analysis model, and improve the accuracy of research and judgment;

[0070] The server-side detection unit 20 is a collection of malicious software for in-depth analysis of traffic content and authority features, including an IOS sys...

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Abstract

The invention discloses a flow analysis-based IOS malicious software early warning and detection system and method, and relates to the field of mobile terminal information security. The system comprises an IOS mobile phone detection unit (10) and a server detection unit (20); the IOS mobile phone detection unit (10) and the server detection unit (20) interact for realizing functions of detecting and analyzing malicious software in an IOS; and an analysis report is formed and provided for a terminal for early warning. The method comprises (1) an IOS mobile phone malicious software pre-judgment method, and (2) a server virus research and judgment method. The system and the method have the following advantages and positive effects: (1) monitoring of a non-jailbreak version is supported originally; (2) the detection range is wide, and the malicious software and bundled software are supported; (3) a detection scheme is rigorous; (4) system expandability is high; and (5) traceability is achieved.

Description

technical field [0001] The invention relates to the field of information security, in particular to an IOS malicious software early warning and detection system and method based on flow analysis. Background technique [0002] According to the smartphone sales data recently released by Kantar Worldpanel, a market research company, from December 2016 to February this year, Apple’s iOS devices accounted for 27.6% of the Chinese market, the highest record ever, and accounted for 27.6% of the Chinese smartphone market. nearly one-third of the market. [0003] Apple's official IOS App Store has always been known for its strict code review. This mandatory measure has become an important mechanism in the IOS security ecosystem to ensure the privacy and security of IOS users, especially because the system is "smaller The security development measures such as the "attack surface", "simplified operating system", "privilege separation", "code signing mechanism", "DEP", "ASLP" and "sand...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F21/56H04L29/06
CPCG06F21/566H04L63/1425H04L63/145
Inventor 王骏涛
Owner WUHAN HONGXU INFORMATION TECH
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