Invention Grant
- Patent Title: Machine learning detection of network attacks using traffic and log information
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Application No.: US17571342Application Date: 2022-01-07
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Publication No.: US12132748B2Publication Date: 2024-10-29
- Inventor: Zhiyan Chen , Murat Simsek , Burak Kantarci , Petar Djukic , James P'ford't Carnes, III , Mehran Bagheri , Jinxin Liu , Yu Shen
- Applicant: Ciena Corporation
- Applicant Address: US MD Hanover
- Assignee: Ciena Corporation
- Current Assignee: Ciena Corporation
- Current Assignee Address: US MD Hanover
- Agency: Clements Bernard Walker
- Agent Christopher L. Bernard
- Main IPC: H04L9/40
- IPC: H04L9/40 ; G06N3/08 ; H04L41/0631 ; H04L43/04 ; H04L61/5061

Abstract:
Systems and methods for detecting intrusions, attacks, and sub-attacks launched against a network under observations are provided. A method, according to one implementation, includes obtaining network traffic information regarding data traffic in a network under observation and obtaining system log information regarding operations of the network under observation. The method further includes the step of inserting the network traffic information and system log information into one or more analysis procedures, where each analysis procedure is configured to detect a respective sub-attack of a multi-stage attack to which the network under observation is susceptible. Also, the method includes the step of combining the outputs of the one or more analysis procedures to detect whether one or more sub-attacks have been launched against the network under observation. In response to detecting that one or more sub-attacks have been launched, the methods include the step of determining the type of the one or more sub-attacks.
Public/Granted literature
- US20220263842A1 Machine learning detection of network attacks using traffic and log information Public/Granted day:2022-08-18
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