Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Hardware trojans inserted in integrated circuits have received special attention of researchers. Most of the recent researches focus on detecting the presence of hardware trojans through various techniques like reverse engineering, test/verification methods and side-channel analysis (SCA). Previous works using SCA for trojan detection are based on por measurements, or even simulations. When using real silicon, the results are strongly biased by the process variations, the exact size of the trojan, and its location. ,  propose a metric to measure the impact of these parameters. For the first time,  give the detection probability of a trojan as a function of its activity, even if untriggered. Moreover,  use electromagnetic field as side-channel, as it provides a better spatial and temporal resolution than por measurements.  conduct a proof of concept study using an AES-128 cryptographic core running on a set of 10 Virtex-5 FPGA. Our results show that, using this metric, there is a probability superior than 99 % with a false negative rate of 0.017 % to detect a HT bigger than 1 % of the original circuit.
['Xuan Thuy Ngo', 'Zakaria Najm', 'Shivam Bhasin', 'Sylvain Guilley', 'Jean-Luc Danger']
I am writing a research paper on a idea Method taking into account process dispersion to detect hardware Trojan Horse by side-channel analysis
[{"from": "human", "value": "I am writing a research paper on a idea Method taking into account process dispersion to detect hardware Trojan Horse by side-channel analysis"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Hardware trojans inserted in integrated circuits have received special attention of researchers. Most of the recent researches focus on detecting the presence of hardware trojans through various techniques like reverse engineering, test/verification methods and side-channel analysis (SCA). Previous works using SCA for trojan detection are based on por measurements, or even simulations. When using real silicon, the results are strongly biased by the process variations, the exact size of the trojan, and its location. ,  propose a metric to measure the impact of these parameters. For the first time,  give the detection probability of a trojan as a function of its activity, even if untriggered. Moreover,  use electromagnetic field as side-channel, as it provides a better spatial and temporal resolution than por measurements.  conduct a proof of concept study using an AES-128 cryptographic core running on a set of 10 Virtex-5 FPGA. Our results show that, using this metric, there is a probability superior than 99 % with a false negative rate of 0.017 % to detect a HT bigger than 1 % of the original circuit."}]