Attacks and Defenses for the Internet-of-Things : 5th International Workshop, ADIoT 2022, Copenhagen, Denmark, September 30, 2022, Revised Selected Papers / edited by Wenjuan Li, Steven Furnell, Weizhi Meng.

Format:

Book

Contributor:

Li, Wenjuan, editor.

Furnell, Steven, editor.

Meng, Weizhi, editor.

Series:

Lecture Notes in Computer Science, 1611-3349 ; 13745

Language:

English

Subjects (All):

Internet of things.

Computer networks.

Computers.

Cryptography.

Data encryption (Computer science).

Computer networks--Security measures.

Software engineering.

Internet of Things.

Computer Communication Networks.

Computing Milieux.

Cryptology.

Mobile and Network Security.

Software Engineering.

Local Subjects:

Internet of Things.

Computer Communication Networks.

Computing Milieux.

Cryptology.

Mobile and Network Security.

Software Engineering.

Physical Description:

1 online resource (187 pages)

Edition:

1st ed. 2022.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2022.

Summary:

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.

Contents:

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. .

Notes:

Includes bibliographical references and index.

Other Format:

Print version: Li, WenJuan Attacks and Defenses for the Internet-Of-Things

ISBN:

9783031213113

3031213114