Invention Grant
- Patent Title: Neural network based spoofing detection
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Application No.: US16101794Application Date: 2018-08-13
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Publication No.: US10911488B2Publication Date: 2021-02-02
- Inventor: Cristian Lumezanu , Nipun Arora , Haifeng Chen , Bo Zong , Daeki Cho , Mingda Li
- Applicant: NEC Laboratories America, Inc.
- Applicant Address: US NJ Princeton
- Assignee: NEC Laboratories America, Inc.
- Current Assignee: NEC Laboratories America, Inc.
- Current Assignee Address: US NJ Princeton
- Agent Joseph Kolodka
- Main IPC: G06F11/00
- IPC: G06F11/00 ; H04L29/06 ; H04L12/733 ; H04L12/26 ; H04L12/741 ; G06N20/00 ; H04L12/751 ; H04L12/893 ; G06K9/62 ; G06N3/08

Abstract:
Methods and systems for mitigating a spoofing-based attack include calculating a travel distance between a source Internet Protocol (IP) address and a target IP address from a received packet based on time-to-live information from the received packet. An expected travel distance between the source IP address and the target IP address is estimated based on a sparse set of known source/target distances. It is determined that the received packet has a spoofed source IP address based on a comparison between the calculated travel distance and the expected travel distance. A security action is performed responsive to the determination that the received packet has a spoofed source IP address.
Public/Granted literature
- US20190098048A1 NEURAL NETWORK BASED SPOOFING DETECTION Public/Granted day:2019-03-28
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