Attacks and Defenses for the Internet-of-Things
Redigert av Li Wenjuan Li, Furnell Steven Furnell, Meng Weizhi Meng, 2022.
5th International Workshop, ADIoT 2022, Copenhagen, Denmark, September 30, 2022, Revised Selected Papers
The Final Round: Benchmarking NIST LWC Ciphers on Microcontrollers.- Evolving a Boolean Masked Adder Using Neuroevolution.- Explainable AI and Deep Autoencoders Based Security Framework for IoT Network Attack Certainty.- Constraints and Evaluations on Signature Transmission Interval for Aggregate Signatures with Interactive Tracing Functionality.- Post-Quantum Secure Communication with IoT Devices Using Kyber and SRAM Behavioral and Physical Unclonable Functions.- Effective Segmentation of RSSI Timeseries Produced by Stationary IoT Nodes.- Consumer-friendly Methods for Privacy Protection Against Cleaning Robots.- Resource Efficient Federated Deep Learning for IoT Security Monitoring.- Man-in-the-OBD: A modular, Protocol Agnostic Firewall for Automotive Dongles to Enhance Privacy and Security.- Mapping the Security Events to the MITRE ATT&CK Attack Patterns to Forecast Attack Propagation.
Språk: Engelsk
Attacks and Defenses for the Internet-of-Things
Redigert av Li Wenjuan Li, Furnell Steven Furnell, Meng Weizhi Meng, 2022.
5th International Workshop, ADIoT 2022, Copenhagen, Denmark, September 30, 2022, Revised Selected Papers
The Final Round: Benchmarking NIST LWC Ciphers on Microcontrollers.- Evolving a Boolean Masked Adder Using Neuroevolution.- Explainable AI and Deep Autoencoders Based Security Framework for IoT Network Attack Certainty.- Constraints and Evaluations on Signature Transmission Interval for Aggregate Signatures with Interactive Tracing Functionality.- Post-Quantum Secure Communication with IoT Devices Using Kyber and SRAM Behavioral and Physical Unclonable Functions.- Effective Segmentation of RSSI Timeseries Produced by Stationary IoT Nodes.- Consumer-friendly Methods for Privacy Protection Against Cleaning Robots.- Resource Efficient Federated Deep Learning for IoT Security Monitoring.- Man-in-the-OBD: A modular, Protocol Agnostic Firewall for Automotive Dongles to Enhance Privacy and Security.- Mapping the Security Events to the MITRE ATT&CK Attack Patterns to Forecast Attack Propagation.
Språk: Engelsk
