- 专利标题: SYSTEMS AND METHODS FOR MACHINE INTELLIGENCE BASED MALICIOUS DESIGN ALTERATION INSERTION
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申请号: US17035959申请日: 2020-09-29
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公开(公告)号: US20210097220A1公开(公告)日: 2021-04-01
- 发明人: Swarup Bhunia , Prabuddha Chakraborty , Abhiskek A. Nair , Tamzidul Hoque , Jonathan W. Cruz , Naren Masna , Pravin Gaikwad
- 申请人: University of Florida Research Foundation, Incorporated
- 申请人地址: US FL Gainesville
- 专利权人: University of Florida Research Foundation, Incorporated
- 当前专利权人: University of Florida Research Foundation, Incorporated
- 当前专利权人地址: US FL Gainesville
- 主分类号: G06F30/323
- IPC分类号: G06F30/323 ; G06F30/398 ; G06N20/00 ; G06F21/55
摘要:
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.
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