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Game Theory and Machine Learning for Cyber Security
GAME THEORY AND MACHINE LEARNING FOR CYBER SECURITY Move beyond the foundations of machine learning and game theory in cyber security to the latest research in this cutting-edge field In Game Theory and Machine Learning for Cyber Security, a team of expert security researchers delivers a collection of central research contributions from both machine learning and game theory applicable to cybersecurity. The distinguished editors have included resources that address open research questions in game theory and machine learning applied to cyber security systems and examine the strengths and limitations of current game theoretic models for cyber security. Readers will explore the vulnerabilities o...
ICBBEM 2023
The 2nd International Conference on Bigdata Blockchain and Economy Management (ICBBEM 2023) was successfully held on 19-21 May 2023 in Hangzhou, China. The conference aims to present the latest research results in the areas related to Big Data, Blockchain and Economic Management, and provide an opportunity for experts and scholars from various fields to meet face-to-face, exchange new ideas and practical experiences, establish business or research relationships, and seek future international cooperation. This volume contains a collection of excellent papers from the conference, presented on topics such as computer software and computer applications, blockchain in data management, e-commerce and digital commerce, and linear regression analysis. We hope that these papers will serve as a reference for young scholars in their future research.
Advances in Artificial Intelligence and Security
The 3-volume set CCIS 1422, CCIS 1423 and CCIS 1424 constitutes the refereed proceedings of the 7th International Conference on Artificial Intelligence and Security, ICAIS 2021, which was held in Dublin, Ireland, in July 2021. The total of 131 full papers and 52 short papers presented in this 3-volume proceedings was carefully reviewed and selected from 1013 submissions. The papers were organized in topical sections as follows: Part I: artificial intelligence; Part II: artificial intelligence; big data; cloud computing and security internet; Part III: cloud computing and security; encryption and cybersecurity; information hiding; IoT security.
Artificial Intelligence and Social Work
An introductory guide with real-life examples on using AI to help homeless youth, diabetes patients, and other social welfare interventions.
Decision and Game Theory for Security
The 28 revised full papers presented together with 8 short papers were carefully reviewed and selected from 44 submissions.Among the topical areas covered were: use of game theory; control theory; and mechanism design for security and privacy; decision making for cybersecurity and security requirements engineering; security and privacy for the Internet-of-Things; cyber-physical systems; cloud computing; resilient control systems, and critical infrastructure; pricing; economic incentives; security investments, and cyber insurance for dependable and secure systems; risk assessment and security risk management; security and privacy of wireless and mobile communications, including user location privacy; sociotechnological and behavioral approaches to security; deceptive technologies in cybersecurity and privacy; empirical and experimental studies with game, control, or optimization theory-based analysis for security and privacy; and adversarial machine learning and crowdsourcing, and the role of artificial intelligence in system security.
Web and Internet Economics
This volume LNCS 14413 constitutes the refereed proceedings of the 19th International Conference, WINE 2023, in December 2023 held in Shanghai, China. The 37 full papers presented together with 29 one-page abstracts were carefully reviewed and selected from 221 submissions. The WINE conference series aims to exchange research ideas in a diverse area of application at the intercept of theoretical computer science , artificial intelligence, operations research, and economics.
Adversary-Aware Learning Techniques and Trends in Cybersecurity
This book is intended to give researchers and practitioners in the cross-cutting fields of artificial intelligence, machine learning (AI/ML) and cyber security up-to-date and in-depth knowledge of recent techniques for improving the vulnerabilities of AI/ML systems against attacks from malicious adversaries. The ten chapters in this book, written by eminent researchers in AI/ML and cyber-security, span diverse, yet inter-related topics including game playing AI and game theory as defenses against attacks on AI/ML systems, methods for effectively addressing vulnerabilities of AI/ML operating in large, distributed environments like Internet of Things (IoT) with diverse data modalities, and, techniques to enable AI/ML systems to intelligently interact with humans that could be malicious adversaries and/or benign teammates. Readers of this book will be equipped with definitive information on recent developments suitable for countering adversarial threats in AI/ML systems towards making them operate in a safe, reliable and seamless manner.
Machinery, Materials Science And Energy Engineering (Icmmsee 2015) - Proceedings Of The 3rd International Conference
With the rapid development of machinery, materials science and energy engineering technology in China, new theories and application results constantly appear. Higher and newer requirements in these fields are sought by business enterprises and members of the engineering profession.This conference was held to further promote the exchange and cooperation among local researchers, to upgrade the academic standards and international influence on the study of these fields in China, and to play a positive role in bridging the gap with the international research community.This volume consists of 106 peer-reviewed articles by local and foreign eminent scholars which cover the frontiers and hot topics in machinery and process equipment, materials science, energy engineering and mechatronics.
Biological Motion
A captivating exploration of the changing definitions of life in biology Biological Motion studies the foundational relationship between motion and life. To answer the question, “What is Life?,” prize-winning historian of science Janina Wellmann engages in a transdisciplinary investigation of motion as the most profound definition of living existence. For decades, information and structure have dominated the historiography of the life sciences with its prevailing focus on DNA structure and function. Now more than ever, motion is a crucial theme of basic biological research. Tracing motion from Aristotle’s animal soul to molecular motors, and from medical soft robotics to mathematical analysis, Wellmann locates biological motion at the intersection of knowledge domains and scientific and cultural practices. She offers signposts to mark the sites where researchers, technologies, ideas, and practices opened up new paths in the constitution of the phenomenon of motion. An ambitious rethinking of the life sciences, Biological Motion uncovers the secret life of movement and offers a new account of what it means to be alive.
