Patents by Inventor Edo Yacov DEKEL
Edo Yacov DEKEL has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Publication number: 20240095347Abstract: Techniques for detecting anomalies in a distributed application based on process data are provided. This process data can include, e.g., the hierarchy (i.e., tree) of processes created and run by the application, the file system operations performed by each process, the network access operations performed by each process.Type: ApplicationFiled: September 19, 2022Publication date: March 21, 2024Inventors: Edo Yacov Dekel, Haim Helman, Yuval Rado
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Publication number: 20240048611Abstract: Anomalies are detected in a distributed application that runs on a plurality of nodes to execute at least first and second workloads. The method of detecting anomalies includes collecting first network traffic data of the first workload and second network traffic data of the second workload during a first period of execution of the first and second workloads, collecting third network traffic data of the first workload and fourth network traffic data of the second workload during a second period of execution of the first and second workloads, and detecting an anomaly in the distributed application based on a comparison of the third network traffic data against the first network traffic data or a comparison of the fourth network traffic data against the second network traffic data. Anomalies may also be detected by comparing network traffic data of two groups of containers executing the same workload.Type: ApplicationFiled: October 17, 2023Publication date: February 8, 2024Inventors: Edo Yacov DEKEL, Haim HELMAN
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Patent number: 11895183Abstract: Anomalies are detected in a distributed application that runs on a plurality of nodes to execute at least first and second workloads. The method of detecting anomalies includes collecting first network traffic data of the first workload and second network traffic data of the second workload during a first period of execution of the first and second workloads, collecting third network traffic data of the first workload and fourth network traffic data of the second workload during a second period of execution of the first and second workloads, and detecting an anomaly in the distributed application based on a comparison of the third network traffic data against the first network traffic data or a comparison of the fourth network traffic data against the second network traffic data. Anomalies may also be detected by comparing network traffic data of two groups of containers executing the same workload.Type: GrantFiled: April 19, 2022Date of Patent: February 6, 2024Assignee: VMware, Inc.Inventors: Edo Yacov Dekel, Haim Helman
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Patent number: 11770443Abstract: Anomalies are detected in a distributed application that runs on a plurality of nodes to execute at least first and second workloads. The method of detecting anomalies includes collecting first network traffic data of the first workload and second network traffic data of the second workload during a first period of execution of the first and second workloads, collecting third network traffic data of the first workload and fourth network traffic data of the second workload during a second period of execution of the first and second workloads, and detecting an anomaly in the distributed application based on a comparison of the third network traffic data against the first network traffic data or a comparison of the fourth network traffic data against the second network traffic data. Anomalies may also be detected by comparing network traffic data of two groups of containers executing the same workload.Type: GrantFiled: May 4, 2022Date of Patent: September 26, 2023Assignee: VMware, Inc.Inventors: Edo Yacov Dekel, Haim Helman
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Patent number: 11593495Abstract: A structured document is verified for changes that are made during and after deployment of an application. The structured document includes first fields that are designated as mutable, and second fields that are designated as immutable. An attempted change is detected to the structured document during or after deployment of the application. Upon detecting the attempted change, a digital signature is generated of the second fields of the structured document. A determination is made whether the generated digital signature of the second fields matches a reference digital signature of the second fields. Upon determining that the generated digital signature matches the reference digital signature, the change to the structured document is permitted. Upon determining that the generated digital signature does not match the reference digital signature, the change is blocked to the structured document.Type: GrantFiled: September 8, 2020Date of Patent: February 28, 2023Assignee: VMware, Inc.Inventor: Edo Yacov Dekel
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Publication number: 20220263894Abstract: Anomalies are detected in a distributed application that runs on a plurality of nodes to execute at least first and second workloads. The method of detecting anomalies includes collecting first network traffic data of the first workload and second network traffic data of the second workload during a first period of execution of the first and second workloads, collecting third network traffic data of the first workload and fourth network traffic data of the second workload during a second period of execution of the first and second workloads, and detecting an anomaly in the distributed application based on a comparison of the third network traffic data against the first network traffic data or a comparison of the fourth network traffic data against the second network traffic data. Anomalies may also be detected by comparing network traffic data of two groups of containers executing the same workload.Type: ApplicationFiled: May 4, 2022Publication date: August 18, 2022Inventors: Edo Yacov DEKEL, Haim HELMAN
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Publication number: 20220239730Abstract: Anomalies are detected in a distributed application that runs on a plurality of nodes to execute at least first and second workloads. The method of detecting anomalies includes collecting first network traffic data of the first workload and second network traffic data of the second workload during a first period of execution of the first and second workloads, collecting third network traffic data of the first workload and fourth network traffic data of the second workload during a second period of execution of the first and second workloads, and detecting an anomaly in the distributed application based on a comparison of the third network traffic data against the first network traffic data or a comparison of the fourth network traffic data against the second network traffic data. Anomalies may also be detected by comparing network traffic data of two groups of containers executing the same workload.Type: ApplicationFiled: April 19, 2022Publication date: July 28, 2022Inventors: Edo Yacov DEKEL, Haim HELMAN
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Patent number: 11343310Abstract: Anomalies are detected in a distributed application that runs on a plurality of nodes to execute at least first and second workloads. The method of detecting anomalies includes collecting first network traffic data of the first workload and second network traffic data of the second workload during a first period of execution of the first and second workloads, collecting third network traffic data of the first workload and fourth network traffic data of the second workload during a second period of execution of the first and second workloads, and detecting an anomaly in the distributed application based on a comparison of the third network traffic data against the first network traffic data or a comparison of the fourth network traffic data against the second network traffic data. Anomalies may also be detected by comparing network traffic data of two groups of containers executing the same workload.Type: GrantFiled: September 25, 2020Date of Patent: May 24, 2022Assignee: VMware, Inc.Inventors: Edo Yacov Dekel, Haim Helman
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Publication number: 20220103619Abstract: Anomalies are detected in a distributed application that runs on a plurality of nodes to execute at least first and second workloads. The method of detecting anomalies includes collecting first network traffic data of the first workload and second network traffic data of the second workload during a first period of execution of the first and second workloads, collecting third network traffic data of the first workload and fourth network traffic data of the second workload during a second period of execution of the first and second workloads, and detecting an anomaly in the distributed application based on a comparison of the third network traffic data against the first network traffic data or a comparison of the fourth network traffic data against the second network traffic data. Anomalies may also be detected by comparing network traffic data of two groups of containers executing the same workload.Type: ApplicationFiled: September 25, 2020Publication date: March 31, 2022Inventors: Edo Yacov DEKEL, Haim HELMAN
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Publication number: 20220075885Abstract: A structured document is verified for changes that are made during and after deployment of an application. The structured document includes first fields that are designated as mutable, and second fields that are designated as immutable. An attempted change is detected to the structured document during or after deployment of the application. Upon detecting the attempted change, a digital signature is generated of the second fields of the structured document. A determination is made whether the generated digital signature of the second fields matches a reference digital signature of the second fields. Upon determining that the generated digital signature matches the reference digital signature, the change to the structured document is permitted. Upon determining that the generated digital signature does not match the reference digital signature, the change is blocked to the structured document.Type: ApplicationFiled: September 8, 2020Publication date: March 10, 2022Inventor: Edo Yacov DEKEL