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Mobile Internet Security: 6th International Symposium, MobiSec 2022, Jeju, South Korea, December 1517, 2022, Revised Selected Papers 1st ed. 2023 [Mīkstie vāki]

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  • Formāts: Paperback / softback, 340 pages, height x width: 235x155 mm, weight: 545 g, 107 Illustrations, color; 23 Illustrations, black and white; XIII, 340 p. 130 illus., 107 illus. in color., 1 Paperback / softback
  • Sērija : Communications in Computer and Information Science 1644
  • Izdošanas datums: 20-Jul-2023
  • Izdevniecība: Springer Verlag, Singapore
  • ISBN-10: 9819944295
  • ISBN-13: 9789819944293
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  • Mīkstie vāki
  • Cena: 78,14 €*
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  • Formāts: Paperback / softback, 340 pages, height x width: 235x155 mm, weight: 545 g, 107 Illustrations, color; 23 Illustrations, black and white; XIII, 340 p. 130 illus., 107 illus. in color., 1 Paperback / softback
  • Sērija : Communications in Computer and Information Science 1644
  • Izdošanas datums: 20-Jul-2023
  • Izdevniecība: Springer Verlag, Singapore
  • ISBN-10: 9819944295
  • ISBN-13: 9789819944293
Citas grāmatas par šo tēmu:
This book constitutes the refereed proceedings of the 6th International Conference on Mobile Internet Security, MobiSec 2022, held in Jeju, South Korea, in December 15–17, 2022.

The 24 full papers included in this book were carefully reviewed and selected from 60 submissions. They were organized in topical sections as follows: ?5G advanced and 6G security; AI for security; cryptography and data security; cyber security; and IoT application and blockchain security.
5G Advanced and 6G Security.- Attacks Against Security Context in 5G
Network.- A Systematic Approach to Security Management in the MonB5G
Architecture.- A Study on 5G Security Activities in Japan.- Spatial
Multiplexing Techniques and Multifrequency Cells for Massive Machine-type
Communications in Future 6G Networks.- Building and utilizing small-scale
testbed for research on 5G SA network-related security vulnerabilities.- AI
for Security.- Parameters Transfer Framework for Multi-domain Fake News
Detection.- Security SFC Path Selection Using Deep Reinforcement
Learning.- Data Sub-sampling Method for Incremental Learning based
Personalized Human Activity Model Development.- A Graph Neural Network
Detection Scheme for Malicious Behavior Knowledge Base.- Recent Challenges in
a New Distributed Learning Paradigm.- Cryptography and Data
Security.- Theoretical and Deep Learning Based Analysis of Biases in Salsa
128 bits.- Blind Decryption and Private Information Delivery.- Using Machine
Learning for Detecting Timing Side-Channel Attacks in Software-Defined
Networks.- A Token-Based Access Control Mechanism for the Internet of Things
Using Blockchain.- Cyber Security.- DyBAnd: Dynamic Behavior-Based Android
Malware Detection.- The Enhancement of FlexE Network Performance Based on
Network Calculus Theory.- Security considerations of each layers in a
cloud-native environment.- Shannon Entropy Mixing Cumulative Sum Algorithm
for DoS/DDoS Detection and Defense.- IoT Application and Blockchain
Security.- Enhanced MQTT Method with IoT Data Priority Controls for
Scalability and Realiability on Early Landslide Warning
System.- Blockchain-based Terminal Access Control in Software Defined
Network.- A Practical Detection and Defense Scheme against Smart Contract
Attacks based on Transaction Features.- A blockchain-based framework for
audio copyright deposition
vulnerabilities.- A Trust-based blockchain System for Secured Migration of
BLE Devices in IoT networks.- Web API Verifier for IoTtalk and Its
Applications.