Visible to the public Identifying Reversible Circuit Synthesis Approaches to Enable IP Piracy Attacks

TitleIdentifying Reversible Circuit Synthesis Approaches to Enable IP Piracy Attacks
Publication TypeConference Paper
Year of Publication2017
AuthorsSaeed, S., Mahendran, N., Zulehner, A., Wille, R., Karri, R.
Conference Name2017 IEEE International Conference on Computer Design (ICCD)
KeywordsBDD, Collaboration, composability, embedded function, ESOP, industrial property, Integrated circuit modeling, integrated circuit piracy, Interference, IP piracy, IP piracy attacks, learning (artificial intelligence), logic circuits, logic design, Logic gates, machine learning, machine learning algorithms, network synthesis, policy, policy-based governance, pubcrawl, QMDD, Resiliency, reversible circuit synthesis approaches, Reversible logic, security, Support vector machines, TBS, Training data

Reversible circuits are vulnerable to intellectual property and integrated circuit piracy. To show these vulnerabilities, a detailed understanding on how to identify the function embedded in a reversible circuit is crucial. To obtain the embedded function, one needs to know the synthesis approach used to generate the reversible circuit in the first place. We present a machine learning based scheme to identify the synthesis approach using telltale signs in the design.

Citation Keysaeed_identifying_2017