Method, electronic device, and user interface for on-demand detecting malware

US9313222B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-9313222-B2
Application numberUS-201414317100-A
CountryUS
Kind codeB2
Filing dateJun 27, 2014
Priority dateApr 30, 2014
Publication dateApr 12, 2016
Grant dateApr 12, 2016

How to read this patent

A practical reading order for non-experts. Skip the full description unless you need deep technical detail.

  1. Title

    What the patent document calls the invention.

  2. Abstract

    A short plain-language summary of the technical disclosure.

  3. Assignees and inventors

    Who owns or filed the patent and who is credited as inventor.

  4. Key dates

    Filing, priority, publication, and grant dates set the timeline.

  5. First independent claim

    The legal scope of protection — read this for what is actually claimed.

  6. CPC / IPC classifications

    Technology tags used to group this patent with similar filings.

  7. Citations and related patents

    Prior art links and similar publications in this corpus.

Abstract

Official abstract text for this publication.

A method, an electronic device, and a user interface for on-demand detecting a malware are provided and adapted for estimating whether an application has vulnerabilities or malicious behaviors. The method includes the following steps. Firstly, evaluating a risk level and a test time of the application which has vulnerabilities or malicious behaviors. Next, detecting the application by selection of user to estimate the risk level of the application which has vulnerabilities or malicious behaviors and then correspondingly generating a detection result. Therefore, the method, the electronic device, and the user interface for on-demand detecting the malware can detect the risk level of the application which has vulnerabilities or malicious behaviors before getting virus pattern of the variant or new malware.

First claim

Opening claim text (preview).

What is claimed is: 1. A method for on-demand detecting a malware, adapted for estimating whether an application has vulnerabilities or malicious behaviors, and the method comprising: receiving the application; decompiling the application, to generate a compiled code related to the application; creating multiple compilation paths according to the compiled code and an association analysis, wherein the compilation paths correspond to multiple instruction paths of the application, respectively; predicting a risk level and a test time of each of the compilation paths which has vulnerabilities or malicious behaviors, and classifying the compilation paths as multiple test items correspondingly; receiving a detection command, to select at least one of the test items and a detectable time; and selecting the corresponding compilation paths according to selection of the test items and the detectable time, to execute the instruction paths corresponding to the selected compilation paths, and to generate a detection result indicating whether the application has the vulnerabilities or the malicious behaviors; wherein each of the compilation paths has at least one element instruction, at least one program code instruction, or combination thereof, and during prediction of the risk level and the test time of each of the compilation paths which has the vulnerabilities or the malicious behaviors, risk data of the element instruction and risk data of the program code instruction are used for prediction to correspondingly generate an element risk value and an element execution time of the element instruction of each of the compilation paths, and to generate a program code risk value and a program code execution time of the program code instruction, so as to predict the risk level and the test time of each of the compilation paths which has the vulnerabilities or the malicious behaviors. 2. The method according to claim 1 , wherein the risk data of the element instruction comprises a behavior description, a predicted risk value and a predicted execution time for each of the element instructions, so as to edit the element risk value and the element execution time of the element instruction. 3. The method according to claim 1 , wherein the risk data of the program code instruction comprises a behavior description, a predicted risk value and a predicted execution time for each of program code instructions, so as to edit the program code risk value and the program code execution time of the program code instruction. 4. The method according to claim 1 , wherein in the step of selecting at least one of the test items and the detectable time, when the detectable time is less than the test time, executing the detectable time for the instruction paths corresponding to the compilation paths, and generating the detection result which estimates whether the application has the vulnerabilities or the malicious behaviors. 5. The method according to claim 1 , wherein, before the step of receiving the application, the method further comprises a step of: creating a detection interface according to at least one application to be detected, to provide a user selecting the application to be detected, and generating the application correspondingly. 6. The method according to claim 1 , wherein after the compilation paths are classified as the test items, the method further comprises a step of: creating a detection interface according to the test items, to provide a user selecting the test item of the risk and the detectable time to be executed, and generating the detection command correspondingly. 7. The method according to claim 1 , wherein, before the step of generating the detection result, the method further comprises a step of: creating a detection interface according to the detection result to display the detection result. 8. The method according to claim 1 , wherein the risk level is made according to an Open Web Application Security Project, a NIST security guideline, or the combination thereof when the compilation paths are classified as the test items according to the risk level and the test time. 9. An electronic device for on-demand detecting a malware, adapted for estimating whether an application has vulnerabilities or malicious behaviors, and the electronic device comprising: a display unit, configured for displaying a detection interface; a storage unit, configured for storing the application; and a computing processing unit, configured for executing following steps: receiving the application by operating the detection interface; decompiling the application, to generate a compiled code related to the application; creating multiple compilation paths according to the compiled code and an association analysis, wherein the compilation paths correspond to multiple instruction paths of the application, respectively; predicting a risk level and a test time of each of the compilation paths which has the vulnerabilities or the malicious behaviors, and classifying the compilation paths as multiple test items correspondingly; receiving a detection command by operating the detection interface, to select at least one of the test items and a detectable time; and selecting the corresponding compilation paths according to selection of the test items and the detectable time, to execute the instruction paths corresponding to the selected compilation paths, to generate a detection result indicating whether the application has the vulnerabilities or the malicious behaviors; wherein each of the compilation paths has one of at least one element instruction and at least one program code instruction, or the combination thereof, and when the computing processing unit predicts the risk level and the test time of each of the compilation paths which has the vulnerabilities or the malicious behaviors, the computing processing unit uses risk data of the element instruction and risk data of the program code instruction for prediction to correspondingly generate an element risk value and an element execution time of the element instruction of each of the compilation paths, and generate a program code risk value and a program code execution time of the program code instruction, so as to predict the risk level and the test time of each of the compilation paths which has vulnerabilities or malicious behaviors. 10. The electronic device according to claim 9 , wherein the store unit is configured for storing the risk data of the element instruction and the risk data of the program code instruction. 11. The electronic device according to claim 9 , wherein the risk data of the element instruction comprises a behavior description, a predicted risk value and a predicted execution time for each of the element instructions, so as to edit the element risk value and the element execution time of the element instruction. 12. The electronic device according to claim 9 , wherein the risk data of the program code instruction comprises a behavior description, a predicted risk value and a predicted execution time for each of program code instructions, so as to edit the program code risk value and the program code execution time of the program code instruction. 13. The electronic device according to claim 9 , wherein when the detectable time is less than the test time, the computing processing unit executes the detectable time for the instruction paths corresponding to the compilation paths, and generates the detection result which estimates whether the application has vulnerabilities or malicious behaviors. 14. The electronic device according to claim 9 , wherein the risk level is made according to an O

Assignees

Inventors

Classifications

  • Vulnerability analysis · CPC title

  • Assessing vulnerabilities and evaluating computer system security · CPC title

  • Selection of displayed objects or displayed text elements (G06F3/0482 takes precedence) · CPC title

  • based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance · CPC title

  • using a touch-screen or digitiser, e.g. input of commands through traced gestures · CPC title

Patent family

Related publications grouped by family.

External sources

Frequently asked questions

Answers are generated from the same data shown on this page.

What does patent US9313222B2 cover?
A method, an electronic device, and a user interface for on-demand detecting a malware are provided and adapted for estimating whether an application has vulnerabilities or malicious behaviors. The method includes the following steps. Firstly, evaluating a risk level and a test time of the application which has vulnerabilities or malicious behaviors. Next, detecting the application by selection…
Who is the assignee on this patent?
Inst Information Industry
What technology area does this patent fall under?
Primary CPC classification H04L63/1433. Mapped technology areas include Electricity.
When was this patent published?
Publication date Tue Apr 12 2016 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).