Quantum Algorithms for Enhancing Cybersecurity in Computational Intelligence in Healthcare (QAECCIH-2024)

The computing landscape is rapidly evolving, with quantum computing at the forefront of this transformation. This book offers a comprehensive examination of foundational principles, Cybersecurity, advanced quantum machine learning algorithms, security challenges, and the wide-ranging applications of quantum computing to meet the research needs in this field. Quantum computing has surpassed the limitations of classical computation. The opening chapter introduces the fundamentals of quantum computing, including the distinct properties of qubits, quantum gates, superposition, entanglement, quantum memory, and quantum parallelism. These elements form the core of quantum computing’s extraordinary potential.

Quantum computing has the potential to significantly improve machine learning algorithms used in cybersecurity by enabling the efficient processing of vast datasets and complex patterns, far surpassing the capabilities of classical computers. Quantum Machine Learning (QML) can be employed to swiftly detect and respond to cyber threats in real time by identifying anomalies within healthcare networks that may indicate a security breach. Through the adoption of QML, healthcare organizations can enhance their ability to identify and counteract advanced persistent threats (APTs) and other sophisticated cyber-attacks aimed at compromising patient data.

Integrating quantum computing into cybersecurity is a pivotal focus of this book. As digital security becomes increasingly vital in our interconnected world, understanding the implications and potential of quantum cryptography, post-quantum cryptography, and secure communication is crucial. This book explores how quantum computing redefines encryption protocols, threat detection, and data protection strategies in the cyber domain. Moreover, it examines the diverse applications of quantum computing, emphasizing its transformative impact across various sectors, including pharmaceuticals, finance, materials science, and logistics. The revolutionary potential of quantum computing is set to transform AI solutions in healthcare and other industries. With the rapid evolution of quantum computing, new discoveries, algorithms, and applications are continually expanding our understanding and technological capabilities. This book serves as a collaborative platform for researchers from both academia and industry to share their latest insights and knowledge on quantum computing, with the unified objective of shaping the future of technology. It provides a comprehensive foundation, detailed explorations of advanced algorithms, and an engaging look into the dynamic world of quantum computing applications. As quantum computing becomes more accessible through the development of innovative tools and cloud-based platforms, this book ignites new research pathways in artificial intelligence and unlocks opportunities for groundbreaking future applications that were once beyond imagination.

Submission Guidelines

All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome:

• Impotant Dates:

  • Manuscript Submission Deadline Date: 10 Dec 2024

  • Manuscript Acceptance Notification: 30 Dec 2024

  • First Round Review Report: 15 Jan 2025

  • Revised Chapter Submission: 10 Feb 2025

  • Final Decision Notification: 25 Mar 2025

• Important Guidelines for Chapter Preparation

  • Download the sample CRC chapter templates:

  • LaTeXtemplate: https://www.overleaf.com/latex/templates/taylor-and-francis-latex-template-for-authors-interact-layout-plus-apa-reference-style/jqhskrsqqzfz

  • MicrosoftOfficeWordtemplate: https://docs.google.com/document/d/1yLgFc7dRKJJXmYPmZzJdW3AHk8yvJlB1/edit?usp=sharing&ouid=118343694353036838179&rtpof=true&sd=true

• The formatting of manuscripts should follow: A4 page format, single column with 11 point Times New Roman font with 1.5 line spacing, while submitting your manuscript as a Microsoft Office Word document.

• Use the number referencing style is usually used for regular research papers, NOT APA style.

• A proposal for the book chapter is needed from prospective authors before the proposal submission due date, describing the objective, scope, and structure of the proposed chapter. Proposal (Extended abstract) in 500 words with title and list of authors. The Abstract need to mail to the editor(s) by the date mentioned in the above tab.

• The formatting of manuscripts should follow: A4 page format, single column with 11 point Times New Roman font with 1.5 line spacing, while submitting your manuscript as a Microsoft Office Word document. Use the number referencing style is usually used for regular research papers, NOT APA style.

• An article of 15-20 pages should be submitted for a single chapter.

• Authors must provide a chapter abstract (approximately 150-200 words each).

• Original articles with significant contributions from the Author(s) will be the major consideration for shortlisting the received chapters.

• We are collaborating with an international publisher, it is mandatory that emphasis should be given for the correct use of English in the chapters. Use online grammar checking tools like ginger or Grammarly.

• The title of the chapter should be concise, precise and should clearly state the main aim of the chapter. It must correlate to the proposed book chapter titles conveyed during the call of book chapter submission. Editors will arrange the chapters in a sequence so that they must be well synchronized and are in line with the title of the book. Thus, the title of the chapters can be re-framed to go well with the theme of the book, if required.

• Figures should NOT be copied from different websites or research articles. If they are copied, please add a reference or re-draw the diagrams.

• Suppose you incorporate in the Work any material from third parties. In that case, you have to take permission in writing from each copyright holder of such material to use and reprint such material in the Work consistent with the terms of the rights.

• Customized Copyright Form and Permission Verification Form (PVF) will be shared among all authors in the last stage of this book submission to the publisher.

List of Topics

1) Quantum Machine Learning for Enhanced Cyber Defense

• Classical Machine Learning vs. Quantum Machine Learning in Cybersecurity
• Quantum Machine Learning for Solving Security-related Linear Algebraic Problems
• Quantum K-Nearest Neighbour for Threat Detection
• Quantum Genetic Algorithm for Security Optimization
• Quantum-Inspired Evolutionary Algorithm in Cybersecurity
• Quantum Approximate Optimization Algorithm for Secure Systems
• Quantum Artificial Intelligence for Cyber Threat Mitigation
• Quantum Generative Adversarial Networks (QGANs) in Security Testing
• Quantum Computing in Reinforcement Learning for Security Applications
• Quantum Computing in 5G communication and networks

2) Healthcare Cybersecurity using Quantum Computing

• Quantum Key Distribution (QKD) for Secure Patient Data Transmission
• Post-Quantum Cryptography in Electronic Health Records (EHR) Systems
• Quantum-Safe Cloud Computing for Healthcare Data Storage
• Quantum Computing for Enhancing Healthcare Network Security
• Quantum-Resistant Blockchain for Secure Health Information Exchange
• Quantum Machine Learning for Predictive Healthcare Cybersecurity
• Impact of Quantum Computing on GDPR Compliance in Healthcare
• Quantum Parallelism in Agriculture Mitigation and Cybersecurity
• Weather Forecasting, Climate Change, and Quantum Computing for Security
• Geometric Visualization through Quantum Search Algorithms in Cyber Defense
• Quantum Optimization in Healthcare Security Solutions
• Quantum Turing Machine and Learning for Secure Computing

3) Quantum Cryptography and Cybersecurity

• Quantum Information Theory and its Role in Cybersecurity
• Quantum Computing and Emerging Cybersecurity Threats
• The Role of Quantum Computing in Cryptography
• Post-Quantum Cryptography: Preparing for a Quantum World
• Quantum Key Distribution (QKD) and Secure Communication
• Developing Quantum-Resistant Cryptographic Protocols
• Addressing Quantum Noise and Error Correction in Secure Systems
• Quantum Computing Applications in Blockchain Security
• Quantum Networking and Secure Communications
• Enhancing Cybersecurity with Quantum Technologies
• Best Practices for Quantum-Safe Cybersecurity
• Challenges and Limitations in Quantum Cybersecurity
• Innovative Quantum Solutions for Addressing Cybersecurity Threats

4) Quantum Computing-Based Cybersecurity Applications: Case Studies

• Game Optimization Using Quantum Parallelism for Secure Systems
• Quantum-Secure Communication Channels in Telemedicine
• Integrating Quantum Cryptography with Multi-Factor Authentication in Healthcare
• Quantum-Enhanced Threat Detection Systems for Healthcare Infrastructure
• Logistic Management and Quantum-enhanced Security
• Fault-Tolerant Systems and Cybersecurity in Quantum Computing
• Asymmetric Encryption and Digital Signature Schemes with Quantum Security
• Drug Development and Data Security Using Quantum Computing
• Traffic Optimization and Cyber Defense Strategies with Quantum Computing
• Quantum Risk Mitigation in Cybersecurity

Publication

QAECCIH-2024 proceedings will be published in Talyor and Frances by CRC Press

Editors

• Mr. Prateek Singhal, Department of Computational Science, School of Sciences, Christ University, Delhi-NCR, Ghaziabad, Uttar Pradesh, India
• Dr. Pramod Kumar Mishra, Department of Computer Science and Engineering, Institute of Eminence, Banaras Hindu University, Varanasi, India
• Dr. Mokhtar Mohammed Hasan, Department of Computer Engineering, College of Science for Women, University of Baghdad, Baghdad

Contact

All questions about submissions should be emailed to 24bookchapters@gmail.com