Dr. Chinmay Chakraborty is an Assistant Professor (Sr.) in the Department of Electronics and Communication Engineering, BIT Mesra, India. His primary areas of research include Wireless body area network, Internet of Medical Things, point-of-care diagnosis, Wireless Networks, Telemedicine, m-Health/e-health, and Medical imaging. Dr.Sree Ranjani Rajendran is Passionate and curious researcher, in pursuit of knowledge and expertise in the broader domain of Hardware Security, with specific interest in "Design for a secured hardware".10+ Years of professional experience comprising research and university teaching. Presently, a Post-doctoral Researcher at the Indian Institute of Technology Madras, engaged in the "Detection of Hardware Trojans in AES module using a Formal Verification method". Dr.M. H. Rehman is currently working as a Research scientist at Khalifa University of Science and Technology in UAE. Overall, he has authored/co-authored 42 international publications including journal articles, conference proceedings, book chapters, and peer-reviewed magazine articles. His research interests include blockchain technologies, artificial intelligence, cyber-physical systems, differential privacy, big data, edge computing, and industrial IoT.

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• Securing Dedicated DSP Co-processors (Hardware IP) using Structural Obfuscation for IoT-oriented Platforms. Multi-bit True Random Number Generator for IoT devices using Memristor. Secured Testing of AES Cryptographic ICs for IoT Devices. Biometric-based Secure Authentication for IoT Enabled Devices and Applications. An improved verification scheme based on user biometrics. Obfuscation to Mitigate Hardware Attacks in the Edge Nodes of IoT System. Lightweight Security solutions for IoT using Physical Layer Key Generation. Threat and attack models in IoT devices. Review on Hardware attacks and security challenges in IoT Edge nodes. Study of Hardware attacks on Smart System Design Lab. A Novel Threat Modelling and Attack Analysis for IoT Applications. Trust management in Internet of Things devices

Dr. Chinmay Chakraborty is an Assistant Professor (Sr.) in the Department of Electronics and Communication Engineering, BIT Mesra, India. His primary areas of research include Wireless body area network, Internet of Medical Things, point-of-care diagnosis, Wireless Networks, Telemedicine, m-Health/e-health, and Medical imaging. Dr.Sree Ranjani Rajendran is Passionate and curious researcher, in pursuit of knowledge and expertise in the broader domain of Hardware Security, with specific interest in "Design for a secured hardware".10+ Years of professional experience comprising research and university teaching. Presently, a Post-doctoral Researcher at the Indian Institute of Technology Madras, engaged in the "Detection of Hardware Trojans in AES module using a Formal Verification method". Dr.M. H. Rehman is currently working as a Research scientist at Khalifa University of Science and Technology in UAE. Overall, he has authored/co-authored 42 international publications including journal articles, conference proceedings, book chapters, and peer-reviewed magazine articles. His research interests include blockchain technologies, artificial intelligence, cyber-physical systems, differential privacy, big data, edge computing, and industrial IoT.

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• Securing Dedicated DSP Co-processors (Hardware IP) using Structural Obfuscation for IoT-oriented Platforms. Multi-bit True Random Number Generator for IoT devices using Memristor. Secured Testing of AES Cryptographic ICs for IoT Devices. Biometric-based Secure Authentication for IoT Enabled Devices and Applications. An improved verification scheme based on user biometrics. Obfuscation to Mitigate Hardware Attacks in the Edge Nodes of IoT System. Lightweight Security solutions for IoT using Physical Layer Key Generation. Threat and attack models in IoT devices. Review on Hardware attacks and security challenges in IoT Edge nodes. Study of Hardware attacks on Smart System Design Lab. A Novel Threat Modelling and Attack Analysis for IoT Applications. Trust management in Internet of Things devices

Dr. Chinmay Chakraborty is an Assistant Professor (Sr.) in the Department of Electronics and Communication Engineering, BIT Mesra, India. His primary areas of research include Wireless body area network, Internet of Medical Things, point-of-care diagnosis, Wireless Networks, Telemedicine, m-Health/e-health, and Medical imaging. Dr.Sree Ranjani Rajendran is Passionate and curious researcher, in pursuit of knowledge and expertise in the broader domain of Hardware Security, with specific interest in "Design for a secured hardware".10+ Years of professional experience comprising research and university teaching. Presently, a Post-doctoral Researcher at the Indian Institute of Technology Madras, engaged in the "Detection of Hardware Trojans in AES module using a Formal Verification method". Dr.M. H. Rehman is currently working as a Research scientist at Khalifa University of Science and Technology in UAE. Overall, he has authored/co-authored 42 international publications including journal articles, conference proceedings, book chapters, and peer-reviewed magazine articles. His research interests include blockchain technologies, artificial intelligence, cyber-physical systems, differential privacy, big data, edge computing, and industrial IoT.

Select Guide Rating

• Securing Dedicated DSP Co-processors (Hardware IP) using Structural Obfuscation for IoT-oriented Platforms. Multi-bit True Random Number Generator for IoT devices using Memristor. Secured Testing of AES Cryptographic ICs for IoT Devices. Biometric-based Secure Authentication for IoT Enabled Devices and Applications. An improved verification scheme based on user biometrics. Obfuscation to Mitigate Hardware Attacks in the Edge Nodes of IoT System. Lightweight Security solutions for IoT using Physical Layer Key Generation. Threat and attack models in IoT devices. Review on Hardware attacks and security challenges in IoT Edge nodes. Study of Hardware attacks on Smart System Design Lab. A Novel Threat Modelling and Attack Analysis for IoT Applications. Trust management in Internet of Things devices