Fei Hu is a professor in the Department of Electrical and Computer Engineering at the University of Alabama, Tuscaloosa. He earned his PhDs at Tongji University, Shanghai, China, in the field of signal processing in 1999, and at Clarkson University, New York, in electrical and computer engineering in 2002. He has published over 200 journal/conference papers and books. Dr. Hu’s research has been supported by the U.S. National Science Foundation, Cisco, Sprint, and other sources. His research expertise may be summarized as 3S: security, signals, and sensors. Recently, he has focused on cyberphysical system security and medical security issues.

• Internet of Things (IoT) as Interconnection of Threats (IoT). Attack, Defense, and Network Robustness of Internet of Things. Sybil Attack Detection in Vehicular Networks. Malware Propagation and Control in Internet of Things. Solution-Based Analysis of Attack Vectors on Smart Home Systems. Privacy Preservation Data Dissemination. Privacy Preservation for IoT Used in Smart Buildings. Social Features for Location Privacy Enhancement in Internet of Vehicles. Lightweight and Robust Schemes for Privacy Protection in Key Personal IoT Applications: Mobile WBSN and Participatory Sensing. Trust and Trust Models for the IoT. Self-Organizing "Things" and Their Software Representatives. Preventing Unauthorized Access to Sensor Data. Authentication in IoT. Computational Security for the IoT and Beyond. Privacy-Preserving Time Series Data Aggregation for Internet of Things. Secure Path Generation Scheme for Real-Time Green Internet of Things. Security Protocols for IoT Access Networks. User-Centric Decentralized Governance Framework for Privacy and Trust in IoT. Policy-Based Approach for Informed Consent in Internet of Things. Security and Impact of the Internet of Things (IoT) on Mobile Networks.

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Fei Hu is a professor in the Department of Electrical and Computer Engineering at the University of Alabama, Tuscaloosa. He earned his PhDs at Tongji University, Shanghai, China, in the field of signal processing in 1999, and at Clarkson University, New York, in electrical and computer engineering in 2002. He has published over 200 journal/conference papers and books. Dr. Hu’s research has been supported by the U.S. National Science Foundation, Cisco, Sprint, and other sources. His research expertise may be summarized as 3S: security, signals, and sensors. Recently, he has focused on cyberphysical system security and medical security issues.

• Internet of Things (IoT) as Interconnection of Threats (IoT). Attack, Defense, and Network Robustness of Internet of Things. Sybil Attack Detection in Vehicular Networks. Malware Propagation and Control in Internet of Things. Solution-Based Analysis of Attack Vectors on Smart Home Systems. Privacy Preservation Data Dissemination. Privacy Preservation for IoT Used in Smart Buildings. Social Features for Location Privacy Enhancement in Internet of Vehicles. Lightweight and Robust Schemes for Privacy Protection in Key Personal IoT Applications: Mobile WBSN and Participatory Sensing. Trust and Trust Models for the IoT. Self-Organizing "Things" and Their Software Representatives. Preventing Unauthorized Access to Sensor Data. Authentication in IoT. Computational Security for the IoT and Beyond. Privacy-Preserving Time Series Data Aggregation for Internet of Things. Secure Path Generation Scheme for Real-Time Green Internet of Things. Security Protocols for IoT Access Networks. User-Centric Decentralized Governance Framework for Privacy and Trust in IoT. Policy-Based Approach for Informed Consent in Internet of Things. Security and Impact of the Internet of Things (IoT) on Mobile Networks.

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Fei Hu is a professor in the Department of Electrical and Computer Engineering at the University of Alabama, Tuscaloosa. He earned his PhDs at Tongji University, Shanghai, China, in the field of signal processing in 1999, and at Clarkson University, New York, in electrical and computer engineering in 2002. He has published over 200 journal/conference papers and books. Dr. Hu’s research has been supported by the U.S. National Science Foundation, Cisco, Sprint, and other sources. His research expertise may be summarized as 3S: security, signals, and sensors. Recently, he has focused on cyberphysical system security and medical security issues.

• Internet of Things (IoT) as Interconnection of Threats (IoT). Attack, Defense, and Network Robustness of Internet of Things. Sybil Attack Detection in Vehicular Networks. Malware Propagation and Control in Internet of Things. Solution-Based Analysis of Attack Vectors on Smart Home Systems. Privacy Preservation Data Dissemination. Privacy Preservation for IoT Used in Smart Buildings. Social Features for Location Privacy Enhancement in Internet of Vehicles. Lightweight and Robust Schemes for Privacy Protection in Key Personal IoT Applications: Mobile WBSN and Participatory Sensing. Trust and Trust Models for the IoT. Self-Organizing "Things" and Their Software Representatives. Preventing Unauthorized Access to Sensor Data. Authentication in IoT. Computational Security for the IoT and Beyond. Privacy-Preserving Time Series Data Aggregation for Internet of Things. Secure Path Generation Scheme for Real-Time Green Internet of Things. Security Protocols for IoT Access Networks. User-Centric Decentralized Governance Framework for Privacy and Trust in IoT. Policy-Based Approach for Informed Consent in Internet of Things. Security and Impact of the Internet of Things (IoT) on Mobile Networks.

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