Risk information output device, information output system, risk information output method, and recording medium
US-2024414180-A1 · Dec 12, 2024 · US
Systems and methods for determining malicious-download risk based on user behavior
US2016366167A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2016366167-A1 |
| Application number | US-201514739385-A |
| Country | US |
| Kind code | A1 |
| Filing date | Jun 15, 2015 |
| Priority date | Jun 15, 2015 |
| Publication date | Dec 15, 2016 |
| Grant date | — |
How to read this patent
A practical reading order for non-experts. Skip the full description unless you need deep technical detail.
- Title
What the patent document calls the invention.
- Abstract
A short plain-language summary of the technical disclosure.
- Assignees and inventors
Who owns or filed the patent and who is credited as inventor.
- Key dates
Filing, priority, publication, and grant dates set the timeline.
- First independent claim
The legal scope of protection — read this for what is actually claimed.
- CPC / IPC classifications
Technology tags used to group this patent with similar filings.
- Citations and related patents
Prior art links and similar publications in this corpus.
Abstract
Official abstract text for this publication.
The disclosed computer-implemented method for determining malicious-download risk based on user behavior may include (1) identifying a set of users that are at high risk for malicious downloads and a set of users that are at low risk for malicious downloads, (2) determining a high-risk pattern of download behavior that is shared by the set of high-risk users and that is not shared by the set of low-risk users, (3) analyzing download behavior of an uncategorized user over a predefined time period in order to categorize the download behavior as high-risk or low-risk, and (4) categorizing the uncategorized user as a high-risk user in response to determining that the download behavior of the uncategorized user falls within a predefined similarity threshold of the high-risk pattern of download behavior. Various other methods, systems, and computer-readable media are also disclosed. Various other methods, systems, and computer-readable media are also disclosed.
First claim
Opening claim text (preview).
What is claimed is: 1 . A computer-implemented method for determining malicious-download risk based on user behavior, at least a portion of the method being performed by a computing device comprising at least one processor, the method comprising: identifying a set of users that are at high risk for malicious downloads and a set of users that are at low risk for malicious downloads; determining a high-risk pattern of download behavior that is shared by the set of high-risk user…
Assignees
Inventors
Classifications
Electricity · mapped topic
- H04L63/1425Primary
Electricity · mapped topic
- G06F21/50Primary
Physics · mapped topic
Physics · mapped topic
Physics · mapped topic
Patent family
Related publications grouped by family.
External sources
Next steps
Free tools are coming soon. Tell us what you want to track and we'll notify you.
Frequently asked questions
Answers are generated from the same data shown on this page.
- What does patent US2016366167A1 cover?
- The disclosed computer-implemented method for determining malicious-download risk based on user behavior may include (1) identifying a set of users that are at high risk for malicious downloads and a set of users that are at low risk for malicious downloads, (2) determining a high-risk pattern of download behavior that is shared by the set of high-risk users and that is not shared by the set of…
- Who is the assignee on this patent?
- Symantec Corp
- What technology area does this patent fall under?
- Primary CPC classification H04L63/1425. Mapped technology areas include Electricity.
- When was this patent published?
- Publication date Thu Dec 15 2016 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). 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).