Advances in Data Science, Cyber Security 1st Edition by Auhood Alfaries, Hanan Mengash, Ansar Yasar, Elhadi Shakshuki ISBN 3030363678 9783030363673
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Authors:Auhood Alfaries , Series:Cyber Security [132] , Tags:Cyber Security , Author sort:Alfaries, Auhood , Ids:DOI , Languages:Languages:eng , Published:Published:Dec 2019 , Publisher:Springer , Comments:Comments:This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
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Product details:
ISBN 10: 3030363678
ISBN 13: 978-3030363673
Author: Auhood Alfaries, Hanan Mengash, Ansar Yasar, Elhadi Shakshuki
This book constitutes the refereed proceedings of the First International Conference on Intelligent Cloud Computing, ICC 2019, held in Riyadh, Saudi Arabia, in December 2019.
The two-volume set presents 53 full papers, which were carefully reviewed and selected from 174 submissions. The papers are organized in topical sections on Cyber Security; Data Science; Information Technology and Applications; Network and IoT.
Advances in Data Science, Cyber Security 1st Table of contents:
Section 1: Foundations of Data Science and Cybersecurity
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Introduction to Data Science and Cybersecurity
- Overview and Interconnection
- The Role of Data Science in Cyber Defense
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Fundamentals of Cybersecurity
- Basic Principles and Concepts
- Cybersecurity Challenges in Modern Data Systems
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Data Analytics for Cybersecurity
- Descriptive, Predictive, and Prescriptive Analytics
- Role of Big Data in Threat Detection
Section 2: Tools and Techniques
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Machine Learning for Cybersecurity
- Applications of Supervised and Unsupervised Learning
- Deep Learning Models for Threat Analysis
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Artificial Intelligence in Security Systems
- AI-Driven Intrusion Detection and Prevention
- Real-Time Decision Making in Cyber Defense
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Blockchain and Data Security
- Blockchain Applications in Secure Transactions
- Decentralized Systems for Enhanced Cybersecurity
Section 3: Applications of Data Science in Cybersecurity
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Anomaly Detection and Threat Prediction
- Data-Driven Techniques for Detecting Threats
- Case Studies in Anomaly Detection
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Network Security and Traffic Analysis
- Using Data Science for Network Behavior Monitoring
- Tools and Frameworks for Traffic Analysis
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Cybersecurity in the Cloud
- Challenges of Securing Cloud Infrastructure
- Data Science Approaches to Cloud Security
Section 4: Emerging Threats and Mitigation Strategies
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Cyber Threat Intelligence
- Leveraging Data Science for Proactive Defense
- Building Cyber Threat Knowledge Bases
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Ransomware and Malware Detection
- Advanced Analytics for Identifying Malware Patterns
- Mitigating Ransomware Attacks Using Data Insights
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Post-Quantum Cryptography
- Preparing for Quantum Computing Challenges
- Advances in Quantum-Resistant Cryptography
Section 5: Ethical, Legal, and Societal Dimensions
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Ethics in Data Science and Cybersecurity
- Balancing Privacy with Security
- Ethical Considerations in Data Analysis
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Legal Frameworks and Regulatory Compliance
- Overview of Cybersecurity Laws and Policies
- GDPR, CCPA, and Other Data Protection Regulations
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Human-Centered Cybersecurity
- The Role of Behavioral Data in Enhancing Security
- Addressing Social Engineering Threats
Section 6: Future Directions
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The Future of Data Science in Cybersecurity
- Trends and Innovations Shaping the Field
- Predictive Analytics for Future Threats
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Building Resilient Systems
- Designing Robust and Adaptive Cyber Defense Systems
- Integrating Data Science into Enterprise Security
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