Invention Grant
- Patent Title: Network threat prevention and information security using machine learning
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Application No.: US16779243Application Date: 2020-01-31
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Publication No.: US11323473B2Publication Date: 2022-05-03
- Inventor: Jo-Ann Taylor , Benjamin F. Tweel , Michael R. Young , Michael J. Sbandi
- Applicant: Bank of America Corporation
- Applicant Address: US NC Charlotte
- Assignee: Bank of America Corporation
- Current Assignee: Bank of America Corporation
- Current Assignee Address: US NC Charlotte
- Main IPC: H04L9/40
- IPC: H04L9/40 ; H04L29/06

Abstract:
An information security system that includes an information security engine configured to detect an attack by a malicious software element in a network. The information security engine is further configured to transfer the malicious software element from the network to the emulated network in response to detecting an attack. The information security engine is further configured to select defense strategies for restricting communications using different port configurations and to implement each defense strategy within the emulated network. The information security engine is further configured to execute a duplicate of the malicious software element in the emulated network and to determine a performance level for each of the defense strategies against the duplicate of the malicious software element. The information security engine is further configured to select a defense strategy with a highest performance level and to implement the selected defense strategy within the network.
Public/Granted literature
- US20210243204A1 NETWORK THREAT PREVENTION AND INFORMATION SECURITY USING MACHINE LEARNING Public/Granted day:2021-08-05
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