Invention Grant
- Patent Title: Systems and methods for machine intelligence based malicious design alteration insertion
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Application No.: US17035959Application Date: 2020-09-29
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Publication No.: US11321510B2Publication Date: 2022-05-03
- Inventor: Swarup Bhunia , Prabuddha Chakraborty , Abhishek A. Nair , Tamzidul Hoque , Jonathan W. Cruz , Naren Masna , Pravin Gaikwad
- Applicant: University of Florida Research Foundation, Incorporated
- Applicant Address: US FL Gainesville
- Assignee: University of Florida Research Foundation, Incorporated
- Current Assignee: University of Florida Research Foundation, Incorporated
- Current Assignee Address: US FL Gainesville
- Agency: Alston & Bird LLP
- Main IPC: G06F30/323
- IPC: G06F30/323 ; G06F30/398 ; G06F21/55 ; G06N20/00

Abstract:
Embodiments of the present disclosure provide methods, apparatus, and computer program products for generating an insertion netlist for a target circuit configured for inserting a malicious design alteration into the circuit based on a design identifying reference trigger nets. Features are extracted for each net identified in a netlist for the circuit. A set of reference trigger features is generated for each of the reference trigger nets. A net is selected from the netlist for each set of reference trigger features based on a similarity between the features of the net and the set of reference trigger features. The insertion netlist is generated that includes the circuit with the malicious design alteration inserted at each of the selected nets.
Public/Granted literature
- US20210097220A1 SYSTEMS AND METHODS FOR MACHINE INTELLIGENCE BASED MALICIOUS DESIGN ALTERATION INSERTION Public/Granted day:2021-04-01
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