Zhaoquan Gu – författare

Although many representation models or cognitive models have been proposed, such as expert systems or knowledge graphs, they cannot represent procedural knowledge, i.e., dynamic knowledge, in an efficient way.This book introduces a new knowledge representation model called MDATA (Multi-dimensional Data Association and inTelligent Analysis).

The book covers rendezvous theories, distributed rendezvous algorithms, and rendezvous applications in practical systems, presents state-of-the-art rendezvous results and highlights the latest methods of rendezvous in distributed systems.

This book introduces novel solutions to the rendezvous problem in distributed systems, a fundamental problem that underpins the construction of many important functions in distributed systems and networks. The book covers rendezvous theories, distributed rendezvous algorithms, and rendezvous applications in practical systems, presents state-of-the-art rendezvous results and highlights the latest methods of rendezvous in distributed systems. It provides in particular an in-depth treatment of the blind rendezvous and oblivious blind rendezvous problems and their solutions. Further, it sheds new light on rendezvous applications in cognitive radio networks and rendezvous search in graphs. As such, it will also be of interest to readers from other research fields such as robotics, wireless sensor networks, and game theory.

This book presents the theoretical foundations of the MDATA cognitive model and its applications in the field of cybersecurity.

This book constitutes the refereed proceedings of the Second International Conference on Network Simulation and Evaluation, NSE 2023, held in Shenzhen, China in November 2023.The 52 full papers presented in this two volume set were carefully reviewed and selected from 72 submissions. The papers are organized in the following topical sections: CCIS 2063: Cybersecurity Attack and Defense, Cybersecurity Future Trends, Cybersecurity Infrastructure, Cybersecurity Systems and Applications.CCIS 2064: Cybersecurity Threat Research, Design and Cybersecurity for IoT Systems, Intelligent Cyber Attack and Defense, Secure IoT Networks and Blockchain-Enabled Solutions, Test and Evaluation for Cybersecurity, Threat Detection and Defense.​​​​​​​