Computational Intelligence and Blockchain in Complex Systems : System Security and Interdisciplinary Applications.

Format:

Book

Author/Creator:

Al-Turjman, Fadi.

Series:

Advanced Studies in Complex Systems Series

Language:

English

Subjects (All):

Blockchains (Databases).

Computer security.

Physical Description:

1 online resource (321 pages)

Edition:

1st ed.

Place of Publication:

San Diego : Elsevier Science & Technology, 2024.

Summary:

Computational Intelligence and Blockchain in Complex Systems provides readers with a guide to understanding the dynamics of AI, Machine Learning, and Computational Intelligence in Blockchain, and how these rapidly developing technologies are revolutionizing a variety of interdisciplinary research fields and applications. The book examines the role of Computational Intelligence and Machine Learning in the development of algorithms to deploy Blockchain technology across a number of applications, including healthcare, insurance, smart grid, smart contracts, digital currency, precision agriculture, and supply chain. The authors cover the unique and developing intersection between cyber security and Blockchain in modern networks, as well as in-depth studies on cyber security challenges and multidisciplinary methods in modern Blockchain networks. Readers will find mathematical equations throughout the book as part of the underlying concepts and foundational methods, especially the complex algorithms involved in Blockchain security aspects for hashing, coding, and decoding. Computational Intelligence and Blockchain in Complex Systems provides readers with the most in-depth technical guide to the intersection of Computational Intelligence and Blockchain, two of the most important technologies for the development of next generation complex systems.Covers the research issues and concepts of Machine Learning technology in Blockchain Provides in-depth information about handling and managing personal data by Machine Learning methods in Blockchain Help readers understand the links between Computational Intelligence, Blockchain, Complex Systems, and developing secure applications in multidisciplinary sectors.

Contents:

Front Cover

Computational Intelligence and Blockchain in Complex Systems

Copyright Page

Dedication

Contents

List of contributors

1 An overview of future cyber security applications using AI and blockchain technology

1.1 Introduction

1.2 Previous work extent

1.3 Using blockchain technologies in cyber security

1.4 Blockchain applications in cybersecurity

1.5 The application of artificial intelligence technologies in cyber security

1.6 The benefits of artificial intelligence in cybersecurity

1.7 Here are a few advantages and applications of artificial intelligence in cybersecurity

1.8 Conclusion

References

2 A survey of issues, possibilities, and solutions for a blockchain and AI-powered Internet of things

2.1 Introduction

2.2 The volume of prior work

2.3 Internet of things driven by 6G

2.4 What is blockchain, anyway?

2.5 Blockchain with artificial intelligence: challenges, opportunities, and solutions for the 6G internet of things

2.6 Discussion

2.7 Conclusion

3 A simple online payment system using blockchain technology

3.1 Introduction

3.1.1 Objectives

3.2 Research and design

3.2.1 Blockchain technology and its application on online payment systems

3.2.2 Designing the architecture of the online payment system

3.2.3 Integration of the Metamask API into the online payment system using Python

3.2.4 User interface design of the proposed system

3.3 Conclusions

4 Efficient spam email classification logistic regression model trained by modified social network search algorithm

4.1 Introduction

4.2 Background and literature review

4.2.1 Logistic regression

4.2.2 Metaheuristic optimization

4.3 Proposed hybrid metaheuristics

4.3.1 Introduced social network search algorithm

4.3.2 Novel initialization scheme.

4.3.3 Strategy for preserving population heterogeneity

4.3.4 Inner functioning and complexity of the proposed algorithm

4.4 Experiments and comparative analysis

4.4.1 Dataset and preprocessing

4.4.2 Experimental setup

4.4.3 Obtained simulation outcomes and comparative analysis

4.5 Conclusion

5 Reviewing artificial intelligence and blockchain innovations: transformative applications in the energy sector

5.1 Introduction

5.2 Literature review

5.2.1 Background of blockchain technology

5.2.2 Distributed energy resources, a new paradigm

5.2.3 Consensus algorithms

5.3 Applications of artificial intelligence and blockchain in the energy industry

5.3.1 Artificial intelligence in solar energy: yield performance predictions

5.3.2 Using artificial intelligence to improve energy performance

5.3.3 Artificial intelligence in grid management

5.3.4 Solar coin use on blockchain for renewables

5.3.5 Trading in energy (blockchain using peer-to-peer and artificial intelligence technologies)

5.3.6 Intelligent grids

5.3.7 Grid security

5.3.8 Grid administration and efficiency

5.3.9 Increased productivity

5.3.10 Predictive analytics

5.3.11 Storage of energy

5.3.12 Trading in energy

5.3.13 Power theft and energy fraud detection

5.3.14 Microgrids

5.3.15 Customer engagement

5.4 Use cases

5.4.1 Powerledger

5.4.2 Energy web foundation

5.4.3 Verv

5.5 Discussions

5.5.1 Comparison between Solana and the Ethereum network

5.5.1.1 Tesla power and Powerlegder

5.6 Conclusion

6 Using artificial intelligence in education applications

6.1 Introduction

6.2 Extent of past work

6.3 Materials and methods

6.4 Result and discussion

6.5 Conclusion

References.

7 Performance measurements of 12 different machine learning algorithms that make personalized psoriasis treatment recommend...

7.1 Introduction and literature review

7.2 Materials and methods

7.2.1 Logistic regression

7.2.2 Gaussian naive Bayes

7.2.3 K-Nearest neighbors

7.2.4 Support vector classification

7.2.5 Radial basis function

7.2.6 Artificial neural network

7.2.7 Cart algorithm

7.2.8 Random forest

7.2.9 Gradient boosting machines

7.2.10 XGBoost

7.2.11 LightGBM

7.2.12 CatBoost

7.3 Experimental results

7.4 Conclusion and future work

8 Healthcare cybersecurity challenges: a look at current and future trends

8.1 Introduction

8.2 The amount of prior works

8.3 Difficulties

8.3.1 Security assurance for remote work

8.3.2 Endpoint device administration

8.3.3 The role of humans in cybersecurity

8.3.4 A disregard for security

8.3.5 Ineffective risk assessment communication at the board level

8.3.6 Poor business continuity strategies

8.3.7 Ineffective incident response coordination

8.3.8 A tight budget and the requirement to provide healthcare services uninterrupted

8.3.9 Dangerous medical cyber-physical systems

8.4 A review of current and future trends in cybersecurity challenges in healthcare

8.5 Discussion

8.5.1 Cyber-physical medical systems

8.5.2 Data privacy, confidentiality, and consent

8.5.3 Cloud computing

8.5.4 Malware

8.5.5 Security of health application (or "app")

8.5.6 Insider danger

8.6 Cybersecurity tools, defenses, and mitigation techniques

8.6.1 Cryptographic systems or other technological advances

8.6.2 Governance and risk assessment

8.6.3 Laws or other regulations

8.6.4 A comprehensive strategy for proactive cybersecurity culture

8.6.5 Instruction and simulated settings.

8.6.6 Cyber maturity and capability

8.6.7 Cyber-hygiene procedures

8.7 Conclusion

9 EU artificial intelligence regulation

9.1 Introduction

9.2 Background of the regulation

9.2.1 Digital Decade targets and objectives

9.2.2 2030 Targets of European Union

9.2.3 Multicountry projects

9.2.4 Road map

9.3 Scope of the regulation

9.3.1 What is the Artificial Intelligence Act?

9.3.2 Risk assessment

9.3.3 Innovation and implementation

9.3.4 The harm requirement

9.3.5 Current European Union legislation comparison

9.4 Conclusion

10 The issue of personality rıghts and artıfıcıal intellıgence

10.1 Introduction

10.2 Person and personality

10.2.1 Capacity to have right and capacity to act

10.3 Artificial intelligence and personality

10.3.1 Ideas that artificial intelligence can not have a legal personality

10.3.2 Ideas that artificial intelligence can have a legal personality

10.4 Conclusion

11 Will artificial intelligence sit on the judge's bench?

11.1 Introduction

11.1.1 Is jurisdiction a means of solving problems?

11.2 Can artificial intelligence realize law?

11.3 Can artificial intelligence interpret or create law?

11.4 Conclusion

12 The effectiveness of virtual reality-based technology on foreign language vocabulary teaching to children with attention...

12.1 Introduction

12.1.1 The impact that having attention deficit hyperactivity disorder has on a student's ability to succeed academically

12.1.2 The use of interventions for students diagnosed with attention deficit hyperactivity disorder

12.1.3 Interventions performed in a clinic

12.1.4 Technology in education

12.1.5 The environments for virtual reality education

12.2 Method

12.2.1 Participants

12.2.2 Materials.

12.2.2.1 Cinema video player plugin

12.2.2.2 Virtual reality-based teaching material

12.2.2.2.1 Equipment used

12.2.2.2.2 Preparing the learning environment

12.2.2.2.3 Adaptation to virtual reality

12.2.3 Intervention procedure

12.2.4 Limitations

12.2.5 Validity

12.2.5.1 Experimental control/internal validity

12.2.5.2 Inter-rater agreement

12.2.5.3 Fidelity

12.2.5.4 Social validity

12.3 Results

12.4 Conclusion

13 BERT-IDS: an intrusion detection system based on bidirectional encoder representations from transformers

13.1 Introduction

13.2 Review of related works

13.3 Dataset

13.4 Method

13.5 Results and analysis

13.6 Conclusion

14 Internet of Things and the electrocardiogram using artificial intelligence-a survey

14.1 Introduction

14.2 Literature study on electrocardiogram

14.2.1 What is electrocardiogram

14.2.2 Diseases the electrocardiogram detects

14.3 Electrocardiogram signal

14.4 Review of technique used in electrocardiogram

14.4.1 Genetic algorithm-back propagation neural network

14.4.2 Back propagation neural network

14.4.3 Artificial neural network

14.5 Conclusion

15 Evaluation of artificial intelligence in education and its applications according to the opinions of school administrators

15.1 Introduction

15.2 Method

15.2.1 Model of the research

15.2.2 Data collection tool

15.2.3 Working group

15.2.4 Data collection

15.2.5 Analysis of data

15.3 Findings and comments

15.4 Conclusion and recommendations

16 Evaluation of tourism developments with artificial intelligence according to the opinions of tourism hotel managers

16.1 Introduction

16.2 Artificial intelligence in tourism

16.3 Use of artificial intelligence in hotels

16.4 Methodology.

16.5 Findings.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

9780443132742

0443132747

OCLC:

1428197836