Del 13745 - Lecture Notes in Computer Science

Attacks and Defenses for the Internet-of-Things

5th International Workshop, ADIoT 2022, Copenhagen, Denmark, September 30, 2022, Revised Selected Papers

Häftad, Engelska, 2022

Av Wenjuan Li, Steven Furnell, Weizhi Meng

779 kr

Beställningsvara. Skickas inom 10-15 vardagar

Fri frakt för medlemmar vid köp för minst 249 kr.

This book constitutes the post-conference proceedings of the 5th International Workshop on Attacks and Defenses for Internet-of-Things, ADIoT 2022, held in conjunction with ESORICS 2022, in Copenhagen, Denmark, in September 30, 2022, in hybrid mode.The 7 full papers and 3 short papers were carefully reviewed and selected from 18 submissions.This workshop focuses on IoT attacks and defenses and discusses either practical or theoretical solutions to identify IoT vulnerabilities and IoT security mechanisms.

Produktinformation

Utgivningsdatum2022-12-11
Mått155 x 235 x undefined mm
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor177
FörlagSpringer International Publishing AG
ISBN9783031213106

Tillhör följande kategorier

Energiteknik inom Naturvetenskap och teknik
Hårdvara inom Data och it

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.