Conference Papers

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    Security issues and challenges in Healthcare Automated Devices
    (Institute of Electrical and Electronics Engineers Inc., 2020) Jangid, A.; Dubey, P.K.; Chandavarkar, B.R.
    Automated devices can be seen everywhere be at home, office, medical devices, Mobiles, etc. This paper presents some of the healthcare-related automated devices with their shortcomings related to security. We are addicted to automated devices and in near future, we will be watching new emergence of devices with the increasing power of automation devices and their security is a big concern as the credibility of a machine is questionable and it's related to automated devices and we are left with many challenges to resolve those security threats. This paper reviews the automation devices primarily in the healthcare field and their security-related issues along with the challenges that we might face in the future while using them. Some already available solutions are presented to try to come up with possible new solutions. © 2020 IEEE.
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    TestQuBE: A Testbench Enhancement Methodology for Universal Serial Interfaces in Complex SoCs
    (IEEE Computer Society, 2021) Kulkarni, A.; Singh, A.; Waje, S.A.; Kashide, S.S.; Choi, S.B.
    With the increasing computational requirements of complex Systems on Chips (SoCs), the number of Universal Serial Interface (USI) instances have been scaled up, for handling data from ever greater number of peripheral components. This has increased the testbench (TB) complexity during verification, requiring numerous test vectors across multiple iterations to validate the design logic, negatively affecting turn-around-time. In this paper, we propose the TestQuBE (Testbench Quality Benchmark Enhancement) methodology which targets four TB quality benchmarking metrics: total TB development time, resource utilization, functional coverage development efficiency. TestQuBE generates an enhanced testbench with automated components that target the aforementioned TB quality metrics. Simulation results for a real-time use-case scenario show 76.2% improvement in functional coverage for up to 75% faster TB development time, resulting in a 91.6% reduction in resource utilization and approximately 50x greater development efficiency, compared to deployed solutions. © 2021 IEEE.