The internet of things
US-2019349426-A1 · Nov 14, 2019 · US
Systems and methods for traffic inspection using payload offsets
US2025392603A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2025392603-A1 |
| Application number | US-202418752239-A |
| Country | US |
| Kind code | A1 |
| Filing date | Jun 24, 2024 |
| Priority date | Jun 24, 2024 |
| Publication date | Dec 25, 2025 |
| Grant date | — |
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- Title
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Abstract
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Systems and methods for traffic inspection using payload offsets include performing inline monitoring between one or more endpoints and the internet; receiving a payload based on the inline monitoring; and performing traffic inspection of the payload based on one or more inspection offset values, wherein the one or more inspection offset values define one or more points within the payload for inspection to begin.
First claim
Opening claim text (preview).
What is claimed is: 1 . A method comprising steps of: performing inline monitoring between one or more endpoints and the internet; receiving a payload based on the inline monitoring; and performing traffic inspection of the payload based on one or more inspection offset values, wherein the one or more inspection offset values define one or more points within the payload for inspection to begin. 2 . The method of claim 1 , wherein the one or more inspection offset values include a plurality of inspection offset values, and wherein the traffic inspection of the payload comprises performing traffic inspection concurrently based on the plurality of inspection offset values. 3 . The method of claim 2 , wherein the plurality of inspection offset values and a maximum inspection size define one or more pieces of the payload to be inspected, and wherein the maximum inspection size is dynamic based on available compute resources. 4 . The method of claim 1 , wherein the steps further comprise: defining a plurality of inspection offset values; and selecting one or more of the inspection offset values for the traffic inspection. 5 . The method of claim 4 , wherein the selecting is performed at preconfigured time intervals, and wherein the one or more selected inspection offset values are utilized for every payload encountered during a duration of a time interval subsequent to the selecting. 6 . The method of claim 4 , wherein the selecting is performed responsive to receiving the payload. 7 . The method of claim 4 , wherein the selecting is performed at random. 8 . The method of claim 4 , wherein the steps further comprise: assigning a probability to each inspection offset value of the plurality of inspection offset values; and selecting one or more of the inspection offset values for the traffic inspection based on the probability of each of the inspection offset values. 9 . The method of claim 1 , wherein the steps further comprise: defining a plurality of inspection offset values; assigning a probability to each inspection offset value of the plurality of inspection offset values, wherein the probability assigned to each of the inspection offset values is based on a historic effectiveness of each of the inspection offset values; and selecting one or more of the inspection offset values for the traffic inspection based on the probability of each of the inspection offset values. 10 . The method of claim 9 , wherein the historic effectiveness of each of the inspection offset values is based on any of global log data and local tenant-specific log data. 11 . A non-transitory computer-readable medium comprising instructions that, when executed, cause one or more processors to perform steps of: performing inline monitoring between one or more endpoints and the internet; receiving a payload based on the inline monitoring; and performing traffic inspection of the payload based on one or more inspection offset values, wherein the one or more inspection offset values define one or more points within the payload for inspection to begin. 12 . The non-transitory computer-readable medium of claim 11 , wherein the one or more inspection offset values include a plurality of inspection offset values, and wherein the traffic inspection of the payload comprises performing traffic inspection concurrently based on the plurality of inspection offset values. 13 . The non-transitory computer-readable medium of claim 12 , wherein the plurality of inspection offset values and a maximum inspection size define one or more pieces of the payload to be inspected, and wherein the maximum inspection size is dynamic based on available compute resources. 14 . The non-transitory computer-readable medium of claim 11 , wherein the steps further comprise: defining a plurality of inspection offset values; and selecting one or more of the inspection offset values for the traffic inspection. 15 . The non-transitory computer-readable medium of claim 14 , wherein the selecting is performed at preconfigured time intervals, and wherein the one or more selected inspection offset values are utilized for every payload encountered during a duration of a time interval subsequent to the selecting. 16 . The non-transitory computer-readable medium of claim 14 , wherein the selecting is performed responsive to receiving the payload. 17 . The non-transitory computer-readable medium of claim 14 , wherein the selecting is performed at random. 18 . The non-transitory computer-readable medium of claim 14 , wherein the steps further comprise: assigning a probability to each inspection offset value of the plurality of inspection offset values; and selecting one or more of the inspection offset values for the traffic inspection based on the probability of each of the inspection offset values. 19 . The non-transitory computer-readable medium of claim 11 , wherein the steps further comprise: defining a plurality of inspection offset values; assigning a probability to each inspection offset value of the plurality of inspection offset values, wherein the probability assigned to each of the inspection offset values is based on a historic effectiveness of each of the inspection offset values; and selecting one or more of the inspection offset values for the traffic inspection based on the probability of each of the inspection offset values. 20 . The non-transitory computer-readable medium of claim 19 , wherein the historic effectiveness of each of the inspection offset values is based on any of global log data and local tenant-specific log data.
Assignees
Inventors
Classifications
- H04L63/1408Primary
by monitoring network traffic (monitoring network traffic per se H04L43/00) · CPC title
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Frequently asked questions
Answers are generated from the same data shown on this page.
- What does patent US2025392603A1 cover?
- Systems and methods for traffic inspection using payload offsets include performing inline monitoring between one or more endpoints and the internet; receiving a payload based on the inline monitoring; and performing traffic inspection of the payload based on one or more inspection offset values, wherein the one or more inspection offset values define one or more points within the payload for i…
- Who is the assignee on this patent?
- Zscaler Inc
- What technology area does this patent fall under?
- Primary CPC classification H04L63/1408. Mapped technology areas include Electricity.
- When was this patent published?
- Publication date Thu Dec 25 2025 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 3 related publications on this page (citations in our corpus or others sharing the same primary CPC).