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Securing the Digital Frontier

Threats and Advanced Techniques in Security and Forensics
Edited by Kavita Sharma, Vishnu Sharma, Parma Nand, Anil Kumar Sagar, and Gulshan Shrivastava
Series: Advances in Cyber Security
Copyright: 2025   |   Expected Pub Date:2025//
ISBN: 9781394268887  |  Hardcover  |  
412 pages
Price: $225 USD
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One Line Description
Secure your understanding of vital security and forensic strategies by purchasing Securing the Digital Frontier: Threats and Advanced Techniques in Security and Forensics, a definitive guide that empowers you to protect sensitive information and tackle cyber threats with insights from leading experts and real-world case studies.

Audience
Information security professionals, law enforcement agencies, legal professionals, business professionals, government agencies, business professionals, and students interested in the fields of computer science, information security, and digital forensics

Description
In the realm of security and forensics, safeguarding sensitive data and investigating cyber incidents are paramount. Robust security measures must be implemented to defend against malicious cyberattacks and unauthorized access to confidential information. Digital forensics plays a crucial role in post-incident analysis, where skilled investigators employ advanced techniques to examine digital artifacts and trace the origins of cyber threats. By analyzing system logs, network traffic, and digital devices, experts can reconstruct cyber incidents, identify potential vulnerabilities, and support legal proceedings when necessary. Maintaining a proactive approach to information security and utilizing cutting-edge forensic tools and methodologies are essential in todays rapidly evolving digital landscape to ensure the confidentiality, integrity, and availability of critical data.

Securing the Digital Frontier offers a comprehensive exploration of the critical domains of security and forensics. The book brings together contributions from leading experts in the field, covering a wide range of topics related to data protection, cybersecurity, and the investigation of digital crimes. With a focus on practical applications and real-world case studies, the book aims to provide readers with valuable insights into safeguarding sensitive information and effectively responding to cyber threats. With its well-structured approach and comprehensive coverage, this book serves as a valuable resource for practitioners, researchers, and students seeking to enhance their knowledge and skills in safeguarding information and investigating digital incidents.

Securing the Digital Frontier will be an invaluable resource for cybersecurity professionals, digital forensics investigators, law enforcement agencies, legal professionals, students, and academics interested in the latest developments, challenges, and tools in the field of digital forensics and cybersecurity.

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Author / Editor Details
Kavita Sharma, PhD is a professor in the Department of Computer Science and Engineering at Galgotias College of Engineering and Technology, Greater Noida, India with over 12 years of research and academic experience. She has also been awarded a research fellowship from the Ministry of Electronics and Information Technology from the Government of India. Additionally, she has four patents (one granted and three published) and one granted design and has published seven books and 45 research articles in international journals and conferences of high repute.

Vishnu Sharma, PhD is the Head of Department and a professor in the Department of Computer Science and Engineering at Galgotias College of Engineering and Technology, Greater Noida, India with over 21 years of teaching experience. He has published over 50 research papers on mobile ad-hoc networks and mobile computing in national and international conferences and journals, as well as two books on mobile computing and advanced mobile computing. Additionally, he has organized several national and international conferences and workshops and serves as the editor of IEEE Conference ICCCA proceedings.

Parma Nand, PhD is the Dean of Academics at Sharda University, Greater Noida, India. He has over 26 years of teaching, industry, and research experience, emphasizing bridging the gap between academics and industry keeping in mind the growing IT industry in terms of futuristic technologies. Through his work, he has provided consultancy on a number of projects for industries and has delivered many invited and keynote talks at national and international conferences, workshops, and seminars in India and abroad. He has published more than 85 papers in peer-reviewed national and international journals and conferences, as well as two filed patents.

Anil Kumar Sagar, PhD is a professor in the Department of Computer Science and Engineering in the School of Engineering and Technology, Sharda University, India with over 20 years of experience in teaching, guiding ten Master’s of Technology and five doctoral candidates in computer science. He also serves as a member of the editorial boards and review committees for many national and international journals and has served as a program and organizing committee member for several conferences.

Gulshan Shrivastava, PhD is an associate professor in the Department of Computer Science and Engineering at Galgotias University, Greater Noida, India. He has five patents (four granted, one published) and 55 articles, books, and editorials in international journals and conferences of high repute. He also serves many reputed journals as a guest editor, editorial board member, international advisory board member, and reviewer board member and has delivered expert talks and guest lectures at numerous international conferences.

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Table of Contents
Preface
1. Pegasus—A Menace to Privacy and Security
Raunaq Khurana and Shilpa Mahajan
1.1 Introduction
1.2 Working of Pegasus
1.2.1 Pegasus Attacking iOS
1.2.2 Pegasus Impacting Android
1.2.3 Differentiating Android and iOS Pegasus
1.3 Literature Review
1.4 Methodologies
1.5 Pegasus Implantation Techniques
1.6 Mitigation Measures
1.7 Conclusion
References
2. Data Privacy and Compliance in Information Security
Rakesh Nayak, Umashankar Ghugar, Praveen Gupta, Satyabrata Dash and Nishu Gupta
2.1 Introduction
2.2 Discussion on Risks, Consequences, and Security Measures for Data Privacy
2.2.1 Getting Around the Compliance Landscape in Information Security
2.2.2 Legal Frameworks: Protecting Privacy Rights, CCPA, and GDPR
2.2.2.1 General Data Protection Regulation (GDPR)
2.2.2.2 California Consumer Privacy Act (CCPA)
2.2.3 Challenges in Achieving Compliance and the Repercussions of Noncompliance
2.2.4 Principles to Follow to Ensure Data Privacy and Compliance
2.2.5 Integrated Approach: Audits, Access Controls, Encryption, and Privacy Awareness
2.3 Data Privacy and Compliance in Information Security: The Changing Nature
2.4 Continuous Learning and Adaptation: Keeping Pace with Emerging Technologies and Regulations
2.5 Conclusion
References
3. Unveiling Cyber Threats and Digital Forensics
Nidhi Gupta, Arpita Trivedi, Parveen P. Terang and Hasmat Malik
3.1 Information Security
3.1.1 Issues and Challenges
3.1.2 Digital Forensics
3.2 Cyberattacks
3.2.1 System Exploitation
3.2.2 Phishing
3.2.3 Man in the Middle Attack
3.2.4 Denial of Service
3.2.5 Ransomware
3.3 Protection Techniques
3.3.1 Firewalls
3.3.2 Threat Modeling
3.3.3 Penetration Testing
3.3.4 Encryption
3.3.5 Access Control
3.4 Internet of Medical Things
3.5 Conclusion
References
4. A Customised Privacy Preservation Mechanism for Cyber-Physical Systems
Manas Kumar Yogi and A.S.N. Chakravarthy
4.1 Introduction
4.1.1 Role of CPS
4.1.2 Privacy Preservation in CPS
4.1.3 Motivation for CPS Privacy
4.2 Background
4.2.1 Current Trends in CPS Privacy
4.2.2 Trade-Off Between Privacy and Data Utility
4.2.3 Challenges in Variable Differential Privacy Implementation
4.3 Motivation
4.3.1 Variants of Differential Privacy
4.3.2 Impact of Noise Addition in Variants of Differential Privacy
4.4 Proposed Mechanism
4.4.1 Algorithm: Customized Differential Privacy
4.4.2 Algorithm: Privacy-Utility Balancing in Differential Privacy
4.5 Experimental Results
4.5.1 Interpretations of the Results
4.5.2 The Advantages of Using Customized Privacy Budgets are Evident in the Following Ways
4.6 Future Directions
4.7 Conclusion
References
5. Securing the Future: Emerging Threats and Countermeasures in Cryptography
Debosree Ghosh, Kishore Ghosh, Chandrima Chakraborty, Atanu Datta and Somsubhra Gupta
5.1 Introduction
5.2 Quantum Computing and Post-Quantum Cryptography
5.3 Cryptanalysis: Cracking the Code
5.4 Side-Channel Attacks: Stealthy and Insidious
5.5 Fault Attacks: Exploiting Implementation Weaknesses
5.5.1 Permanent Fault Attacks
5.5.2 Transient Fault Attacks
5.6 Hardware Security Modules (HSMS)
5.6.1 HSMs Offer a Range of Features that Make Them a Critical Component of Modern Information Security Systems
5.6.2 HSMs Applications in Various Industries and Scenarios
5.7 Secure Implementations: From Theory to Reality
5.8 A Holistic Approach to Cryptography
5.9 Quantum Key Distribution (QKD)
5.10 Internet of Things in Cryptography
5.11 Artificial Intelligence in Cryptography
5.12 Cryptarithmetic
5.13 The Road Ahead: Future Trends and Prospects
5.14 Conclusion
Bibliography
6. Cyber Threats and Its Impact on Electronic Transactions
Ramalingam Dharmalingam and Vaishnavi Dharmalingam
6.1 Introduction
6.2 Digital Transformation and Cybersecurity
6.3 Evolution of Cyber Threats
6.3.1 Telephone Hacks in the 1950s
6.3.2 Introduction of Computer Virus in the 1970s and 1980s
6.3.3 Widespread Malware Attacks in the 1990s
6.3.4 The Turn of the Century
6.3.5 Threat to the Connected “Things” in the 2020s
6.4 Emerging Cyber Threats
6.4.1 Malware Delivery
6.4.2 Fileless Malware
6.4.3 Legitimate Service Abuse
6.4.4 Botnet Renovations
6.4.5 Search Engine Optimization and Malicious Advertising
6.4.6 Security Tools as a Malware
6.4.7 Web Shells Deep Dive
6.4.8 Domain-Generating Algorithms
6.4.9 AI-Enabled Cyber Attacks
6.5 Impacts of Data Breaches in the Financial Sector
6.6 Cybersecurity Standards, Frameworks, and Benchmarks
6.7 Innovative Approaches to Cyber-Incident Management
6.7.1 International and Multistakeholder Collaboration
6.7.2 Cognitive Analytics in Cybersecurity Management
6.7.3 Security Automation for Combating Cyberattacks
6.8 Conclusion
References
7. A Robust Model for Enabling Insider Threat Detection and Prevention: Techniques, Tools, and Applications
A. Sheik Abdullah, Shivansh Dhiman and Arif Ansari
7.1 Introduction
7.2 Structure
7.3 Impact of Insider Threats on Modern Organizations
7.3.1 Types of Insider Threats
7.3.2 Importance of Understanding the Impact of Insider Threats
7.3.3 The Magnitude of the Threat
7.3.4 Why are Insider Threats so Dangerous?
7.5 Challenges in Insider Threat Detection
7.6 Techniques for Insider Threat Detection
7.7 Robust Model
7.7.1 Shortcomings in Current Insider Threat Detection Models
7.7.2 Required Algorithms and Tools for Robust Model
7.7.2.1 Supervised Learning Model
7.7.2.2 Complex Event Processing
7.7.3 Integration Model
7.7.4 Pseudocode
7.8 Application and Case Studies
7.8.1 Introduction
7.8.2 How the Integration Works
7.8.3 Case Studies
7.9 Other Important Insider Threat Prevention Strategies
7.10 Ethical Considerations
7.11 Future Trends
7.12 Conclusion
References
Authored Book
References
8. Digital Vulnerabilities Unveiled: A Multidisciplinary Exploration of Emerging Threats to Security and Privacy in the Age of Networked Communication
Priya Sachdeva and Archan Mitra
8.1 Introduction
8.1.1 Objectives
8.2 Theoretical Foundation
8.2.1 Conceptual Foundations
8.2.2 The Literary Nexus
8.3 Methodological Framework
8.3.1 Data Collection
8.3.2 Data Analysis
8.3.3 Integration of Multidisciplinary Perspectives
8.3.4 Ethical Considerations
8.4 Emergent Themes
8.4.1 Misinformation and Fake News
8.4.2 Data Breaches Put Personal Information at Risk
8.4.3 The Role of Humans in Phishing and other Forms of Social Engineering
8.5 Interdisciplinary Insights
8.5.1 Connecting Threads
8.5.2 Dialogue Across Disciplines
8.6 Pedagogical Implications
8.6.1 The Development of Curriculum
8.6.2 Education that Promotes Ethical and Effective Communication
8.7 Findings and Discussion
8.7.1 Survey Findings
8.7.2 Findings from the Interview
8.7.3 Discussion
8.8 Integration and Synthesis
8.8.1 Bringing Together Multidisciplinary Perspectives
8.8.2 Policy and Practice Recommendations
8.9 Conclusion
References
Appendix A: Survey Instrument
9. Tools of Emancipation as Global Web and its Digital Ecosystem: Steering IoT Landscape, Cloud Computing Unravel Safe Spaces Lensing New Cyber Risks and Emerging Threats
Bhupinder Singh and Christian Kaunert
9.1 Introduction
9.1.1 Background of Study
9.1.2 Objectives
9.1.3 Scope of the Study
9.1.4 Structure of the Chapter
9.2 Tools of Emancipation on the World Wide Web: Conceptual Framework and Definition
9.2.1 Historical Evolution
9.2.2 Contemporary Significance
9.3 IoT Landscape and Its Overview: Opportunities and Challenges
9.4 Cloud Computing: Pillar for Safe Spaces Protection
9.4.1 Fundamental Concepts of Cloud Computing
9.4.2 Security Aspects of Cloud Services
9.4.3 Cloud-Based Solutions for Safe Spaces
9.5 Cyber Risks and Emerging Threats—Current Landscape of Cyber Threats
9.6 Tools of Emancipation: Digital Tools for Positive Purposes and Potential for Using Technology
9.7 Assimilating Tools of Emancipation, Cloud Computing, and IoT
9.8 Embryonic Updated Technologies and Future Tendencies
9.9 New Cyber Risks and Emerging Threats
9.9.1 Policy Implications, Societal and Ethical Considerations Concerning Safe Spaces Lensing New Cyber Risksand Emerging Threats
9.10 Conclusion and Future Scope
References
10. IoT and Smart Device Security: Emerging Threats and Countermeasures
Geo Francis E., S. Sheeja, Antony John E.F. and Jismy Joseph
10.1 Introduction to IoT and Smart Devices
10.1.1 Definition and Scope
10.1.2 Growth and Importance of IoT
10.1.3 Smart Device Landscape
10.2 Vulnerabilities in IoT Devices
10.2.1 Insecure Device Design and Configuration
10.2.2 Weak Authentication and Authorization
10.2.3 Lack of Device Updates and Patch Management
10.3 Emerging Threats in IoT Security
10.3.1 Botnets and DDoS Attacks
10.3.2 Data Breaches and Privacy Risks
10.3.3 Physical Damage and Safety Concerns
10.4 Attack Vectors in IoT
10.4.1 Network Exploitation
10.4.2 Firmware and Software Exploits
10.4.3 Social Engineering and Phishing
10.5 Countermeasures for IoT Security
10.5.1 Secure Device Design Principles
10.5.2 Authentication and Encryption
10.5.3 Network Segmentation and Monitoring
10.5.4 Security Updates and Patch Management
10.6 Case Studies in IoT Security
10.6.1 Notable IoT Security Incidents
10.6.2 Successful IoT Security Implementations
10.7 Future Trends and Challenges in IoT Security
10.7.1 Artificial Intelligence and Machine Learning in IoT Security
10.7.2 Regulatory and Legal Considerations
10.7.3 Securing Emerging IoT Technologies
10.8 Conclusion
10.8.1 Recap of Key Points
10.8.2 Importance of IoT Security Implementation
10.8.3 Future Outlook for IoT Security
References
11. Securing the Internet of Things: Lightweight Encryption and Blockchain Solutions
Srishti Priya Chaturvedi, Ajay Yadav, Santosh Kumar and Rahul Mukherjee
11.1 Introduction
11.1.1 IoT Architecture
11.1.1.1 Three-Layered IoT Architecture
11.1.1.2 Five-Layered IoT Architecture
11.1.1.3 Cloud and Fog/Edge-Based IoT Architecture
11.2 Applications of IoT
11.2.1 Smart Home
11.2.2 Smart Healthcare
11.2.3 Industrial IoT
11.2.4 Smart Agriculture
11.2.5 Smart Mobility
11.2.6 Smart Grid
11.2.7 Environment Monitoring
11.3 Different Security Attacks on IoT Layers
11.3.1 Active Attack
11.3.1.1 Security Attacks on Perception/Physical Layer
11.3.1.2 Security Attacks on Network Layer
11.3.1.3 Security Attacks on Processing Layer
11.3.1.4 Security Attacks on Application Layer
11.3.1.5 Security Attacks on Business Layer
11.3.2 Passive Attack
11.3.2.1 Eavesdropping
11.3.2.2 Traffic Analysis
11.4 Solution to IoT Security Attacks
11.4.1 IoT Security Using Blockchain Technology
11.4.2 Network Layer
11.4.3 Consensus Layer
11.4.4 Data Layer
11.4.5 Execution Layer
11.4.6 Application Layer
11.4.7 Blockchain-Based IoT Applications
11.4.7.1 Cyber-Physical Systems
11.4.7.2 Intelligent Transportation System
11.4.7.3 Smart City
11.4.7.4 Supply Chain Management
11.4.7.5 Underwater Things
11.4.8 IoT Security Using Lightweight Cryptography
11.4.8.1 Lightweight Cryptography
11.5 Conclusion
References
12. Social Engineering Attacks: Detection and Prevention
Rajat Singh, Priyanka Soni and Animaw Kerie
12.1 Introduction
12.1.1 Strong Affect
12.1.2 Overloading
12.1.3 Reciprocation
12.1.4 Deceptive Relationship
12.1.5 Diffusion of Moral Duty and Responsibility
12.1.6 Authority
12.1.7 Consistency and Commitment
12.2 Life Cycle of Social Engineering
12.2.1 Selection of Target and Reconnaissance
12.2.2 Planning and Preparation
12.2.3 Initiation of Contact
12.2.4 Fostering Trust and Manipulation
12.2.5 Elicitation and Exploitation
12.2.6 Launch of Attack
12.2.7 Maintaining the Access
12.2.8 Covering the Trails
12.3 Types of Social Engineering
12.3.1 Phishing
12.3.2 Vishing
12.3.3 Grooming
12.3.4 Identity Theft
12.3.5 Quid Pro Quo Attacks
12.3.6 Dumpster Diving Attacks
12.3.7 Diversion Theft Attacks
12.3.8 Tailgating
12.3.9 File Masquerade
12.3.10 Water-Holing
12.4 Social Engineering Attacks Using Advanced Techniques
12.5 Social Engineering Attack Detection Models
12.5.1 SEADM
12.5.2 SEADMv2
12.5.3 SEADer
12.5.4 SEADer++ V2
12.6 Detection of Social Engineering Links
12.7 Preventive Approaches
12.7.1 SIEM
12.7.2 Next-Gen Cloud-Based WAF
12.7.3 “Human-as-a-Security-Sensor Framework”
12.7.4 Awareness Programs
12.7.5 Prevention Protocols
12.8 Preventive Measures Against Social Engineering Attacks
12.8.1 Avoid Clicking Unknown Links
12.8.2 Use Multi-Factor Authentication
12.8.3 Verify Email Sender’s Identity
12.8.4 Check for SSL Certificate
12.8.5 Check for Updates
12.8.6 Pay Attention to Your Digital Footprint
12.9 Conclusion
References
13. Multilayer Perceptron of Occlusion and Pose-Sensitive Ear Attributes for Social Engineering Attack Mitigation
O. Taiwo Olaleye, OLuwasefunmi Arogundade, Adebayo Abayomi-Alli, Wilson Ahiara, Temitope Ogunbiyi, Segun Akintunde, Segun Dada and Olalekan Okewale
13.1 Introduction
13.1.1 Biometric Authentication and Social Engineering Attacks
13.1.1.1 Strengths of Biometric Authentication
13.1.1.2 Weaknesses of Biometric Authentication
13.2 Literature Review
13.2.1 Black Ear Inclusivity in Biometric Authentication Systems
13.3 Materials and Methods
13.3.1 Data Acquisition
13.3.2 Feature Extraction
13.3.2.1 Color Layout Filter
13.3.2.2 Edge Histogram Filter
13.3.3 One-Hot Encoding
13.3.4 Predictive Analytics by the Perceptron
13.3.5 Parameter Optimization of MLP
13.4 Result and Discussion
13.4.1 Performance Metrics of MLP on Occlusion and Pose Sensitive Ear Facial Dataset
13.4.2 Performance Metrics of MLP on Occlusion and Pose Sensitive Ear Facial Dataset After One-Hot Encoding
13.4.3 Performance Metrics of MLP on Occlusion and Pose Sensitive Ear Facial Dataset with Parameter Optimization
13.4.4 Performance Metrics of MLP on Occlusion and Pose Sensitive Ear Facial Dataset After One-Hot Encoding with Parameter Optimization
13.4.5 Overall Evaluation of MLP on the Experimental Measures
13.5 Conclusion
References
14. Study and Analysis of Cyberbullying Message Detection and Prevention Using Machine Learning Techniques
S. Shanmugam, S. Gunasekaran and N. Anusha
14.1 Introduction
14.2 Literature Survey
14.2.1 Identifying Cyberbullies Through Twitter Data Analysis
14.2.2 Cyber Bullying Detection on Social Media Using Machine Learning
14.2.3 Cyberbullying in Schools: A Research of Gender Differences
14.2.4 Automated Detection of Cyberbullying Using Machine Learning
14.3 Implementation of Cyberbullying Model
14.3.1 Dataset Description
14.3.2 Architecture and Functionalities of the Proposed System
14.3.2.1 NLP Toolkit for Implementation
14.3.3 Performance Evaluation Measures
14.4 Evaluation and Comparison of Machine Learning Techniques for Cyber Bullying
14.5 Conclusion
References
15. Future Directions in Digital Forensics and Cybersecurity
Elipe Arjun and Priyanka Singh
15.1 Overview of Digital Forensics and Cyber Forensics
15.2 Introduction
15.2.1 Rapid Technological Evolution
15.2.2 An Ever-Changing Threat Landscape
15.3 Technologies and Their Impact
15.3.1 Balancing Opportunity and Threat
15.4 Impact of Emerging Technologies on Digital Forensics and Cybersecurity
15.4.1 Artificial Intelligence (AI) and Machine Learning (ML)
15.4.2 Quantum Computing
15.4.3 5G Technology
15.4.4 Blockchain Technology
15.4.5 Biometric Technologies
15.4.6 Cloud Computing
15.4.7 IoT (Internet of Things)
15.4.8 Automated Threats and Botnets
15.4.9 Augmented Reality (AR) Virtual Reality (VR) and Autonomous Systems and AI-Driven Attacks
15.5 Cybersecurity and Digital Forensics: Threats and Opportunities
15.5.1 Threats
15.5.2 Opportunities
15.6 Future of Digital Forensics
15.6.1 Emerging Trends and Future Directions in Digital Forensics
15.6.2 Potential Benefits and Challenges of These Emerging Trends of Digital Forensics
15.6.3 Significant Challenges in Modern Digital Forensics, Both from an Ethical
and Technological Perspective
15.7 The Future of Cybersecurity
15.7.1 Overview of Future Directions and Emerging Trends in Cybersecurity
15.7.2 Emerging Trends and Potential Benefits Include
15.7.3 Challenges in Cybersecurity
15.8 Collaboration and Interdisciplinary Approaches
15.8.1 Ways in Which Digital Forensics and Cyber Security Might Collaborate
15.9 Ethics and Human Factors in Future Digital Forensics and Cybersecurity
15.9.1 Why Do we Need Ethics in Technology?
15.9.2 What Does Ethics Have to Do with Cybersecurity and Digital Forensics?
15.9.3 Potential Benefits
15.10 Challenges and Opportunities of Digital and Cyber-Forensics
15.10.1 Challenges
15.10.2 Opportunities
15.11 Conclusion
15.11.1 Summary of Key Points
15.11.2 Discussion of Importance
15.11.3 Conclusion and Implications for Future Research and Practice
References
16. Tomorrow’s Shields: Exploring Future Trends in Cyber Security and Forensics
Mridu Sharma, Ravshish Kaur Kohli and Kunal Sharma
16.1 Introduction
16.2 Recent Digital Forensic Trends
16.2.1 Cloud Forensics
16.2.2 Social Media Forensics
16.2.3 IoT Forensics
16.3 Threats Faced by Digital Forensics
16.3.1 Technical Challenges
16.3.2 Operational Challenges
16.3.3 Personnel-Related Challenges
16.4 Opportunities
16.4.1 USB Forensics
16.4.2 Intrusion Detection
16.4.3 Artificial Intelligence
16.5 Conclusion
References
Index

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