Anatomy of IoT Botnets and Detection Methods
1st Edition
Published on 11. November 2025
Book
Hardback
212 pages
978-1-041-05022-3 (ISBN)
Description
The book Anatomy of IoT Botnets and Detection Methods delves into the evolving landscape of cybersecurity threats associated with the Internet of Things (IoT), specifically focusing on the anatomy, behavior, and detection of IoT-based botnets. As IoT devices proliferate in both consumer and industrial settings, their inherent vulnerabilities-such as weak authentication, limited processing power, and lack of regular updates-make them prime targets for attackers. The book begins by exploring how IoT botnets are formed, highlighting key attack vectors such as malware propagation, command, and control (C&C) mechanisms, and commonly exploited protocols such as Telnet and UPnP. Notable case studies, including the Mirai and Mozi botnets, illustrate real-world impacts, emphasizing the scale and damage these threats can inflict. The core of the book then transitions into detection methodologies, covering both traditional and AI-driven approaches. Techniques such as signature-based detection, anomaly detection using machine learning, network traffic analysis, and honeypot deployment are thoroughly examined. The authors also address the challenges in detecting IoT botnets, including encrypted traffic, device heterogeneity, and low visibility in resource-constrained devices. Furthermore, the book emphasizes the importance of proactive defense strategies, such as firmware hardening, secure boot mechanisms, and real-time behavioral analytics. It underscores the role of collaborative intelligence sharing among stakeholders to enhance detection capabilities. By integrating theoretical concepts with practical insights and current research trends, the book provides a comprehensive guide for researchers, cybersecurity professionals, and IoT developers aiming to understand and counteract botnet threats. Ultimately, Anatomy of IoT Botnet and Detection Methods serves as a crucial resource for strengthening the cybersecurity posture of IoT ecosystems through informed detection and mitigation practices. The content of the book is categorized into the following sub-sections:
Introduction to IoT and Botnets: An overview of IoT technology, its adoption, and the rising threat of botnets.
IoT Device Vulnerabilities: Analysis of common security weaknesses in IoT devices that cybercriminals exploit.
Botnet Architecture: Detailed examination of how IoT botnets are structured, including command-and-control mechanisms.
Infection and Propagation: Methods used by attackers to spread malware across IoT networks.
Detection Techniques: Overview of current detection methods, including anomaly detection, signature-based approaches, and machine learning.
Mitigation Strategies: Practical advice on how to secure IoT devices, including best practices for manufacturers and users.
Case Studies: Real-world examples of IoT botnet attacks and their impact.
The book concludes with a discussion on the future of IoT security, emphasizing the need for continuous innovation in detection and prevention methods.
Introduction to IoT and Botnets: An overview of IoT technology, its adoption, and the rising threat of botnets.
IoT Device Vulnerabilities: Analysis of common security weaknesses in IoT devices that cybercriminals exploit.
Botnet Architecture: Detailed examination of how IoT botnets are structured, including command-and-control mechanisms.
Infection and Propagation: Methods used by attackers to spread malware across IoT networks.
Detection Techniques: Overview of current detection methods, including anomaly detection, signature-based approaches, and machine learning.
Mitigation Strategies: Practical advice on how to secure IoT devices, including best practices for manufacturers and users.
Case Studies: Real-world examples of IoT botnet attacks and their impact.
The book concludes with a discussion on the future of IoT security, emphasizing the need for continuous innovation in detection and prevention methods.
More details
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Professional and scholarly
Academic, Postgraduate, and Professional Reference
Illustrations
11 s/w Abbildungen, 2 s/w Photographien bzw. Rasterbilder, 9 s/w Zeichnungen, 6 s/w Tabellen
6 Tables, black and white; 9 Line drawings, black and white; 2 Halftones, black and white; 11 Illustrations, black and white
Dimensions
Height: 240 mm
Width: 161 mm
Thickness: 17 mm
Weight
514 gr
ISBN-13
978-1-041-05022-3 (9781041050223)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Umang Garg | Neha Gupta | Rajesh Singh
Anatomy of IoT Botnets and Detection Methods
E-Book
11/2025
1st Edition
CRC Press
€63.49
Available for download
Umang Garg | Neha Gupta | Rajesh Singh
Anatomy of IoT Botnets and Detection Methods
E-Book
11/2025
1st Edition
CRC Press
€63.49
Available for download
Umang Garg | Neha Gupta | Rajesh Singh
Anatomy of IoT Botnets and Detection Methods
Book
11/2025
1st Edition
CRC Press
€69.70
Shipment within 15-20 days
Persons
Umang Garg, PhD, is working as an Associate professor in department of Computer Science and Engineering, MITADT University, Pune, Maharashtra, India. He is committed to advance both research and teaching in the field of Security. He has combined research and teaching experience of over 14 years and done a significant contribution towards the research community working in IoT security using Machine learning. Dr. Garg has done PhD (IoT Security), M.Tech (CSE), and B.Tech (CSE) for his academic Pensiveness. He has published more than 40 research articles with reputed journals and highly indexed conferences. He is Member of CSI and IEEE.
Neha Gupta, PhD, working as an Assistant professor in department of Computer Science and Engineering, MITADT University, Pune, Maharashtra, India. She is committed to advance both research and teaching in the field of IoT and Healthcare applications. She has combined research and teaching experience of over 12 years and done a significant contribution towards the research community working in IoT healthcare applications. Dr. Gupta has done PhD (5G-IoT in Healthcare), M.Tech, and B.Tech for her academic Pensiveness.
Rajesh Singh, PhD, is associated with Uttaranchal University as Professor and Director (Research & Innovation) with more than twenty years of experience in academics and research. His area of expertise includes embedded systems, robotics, wireless sensor networks, Internet of Things and Machine Learning. He has been honored as keynote speakers and session chair to international/national conferences, faculty development programs, workshops and webinars. He has filed more than 500 IPR, including 100+ Indian & International patent grants, 5 PCT and published more than 439 research papers in SCI/Scopus journals. He has authored/edited forty three books in the area of Embedded Systems and Internet of Things with reputed publishers like CRC/Taylor & Francis, Springer, Narosa, NIPA, River Publishers, Bentham Science, IGI Global, NOVA Science etc. He has been featured by Indian and International media for smart systems and devices designed by him including-OBDAS, E-Parirakshak, Kawach, 20Sec4Life, Ally, Alithis, CT scan Diagnosis, among which five are designed to prevent COVID-19 as per WHO guidelines.
Anita Gehlot, PhD, is associated with Uttaranchal University as Professor and Head - Research & Innovation with more than sixteen years of experience. Her area of expertise includes embedded systems, wireless sensor networks, Internet of Things, Artificial Intelligence and Automation. She has been featured among top ten inventors for ten years 2010-2020, by Clarivate Analytics in "India's Innovation Synopsis" in March 2021. She has filed more than five hundred patents including more than hundered Indian & International patent grants, 5 PCT and published more than three hundred and fifty research papers in SCI/Scopus journals. Five scholars have been awarded with PhD under her supervision.
Ankur Dumka, PhD, is working as associate professor from past 6 years and holding various administrative post. He was coordinator and member of smart city dehradun for drafting of proposal. He is having more than 140 research papers with more than 60 sci and Scopus journal publication and more than 120 Scopus publication. He has contributed 8 authored books with reputed international publishers, 15 book chapters, 8 patents granted under his name and 7 published, he is handling 1 research project of more than 10 lakh and 1 consultancy project of govt. Medical college.
Neha Gupta, PhD, working as an Assistant professor in department of Computer Science and Engineering, MITADT University, Pune, Maharashtra, India. She is committed to advance both research and teaching in the field of IoT and Healthcare applications. She has combined research and teaching experience of over 12 years and done a significant contribution towards the research community working in IoT healthcare applications. Dr. Gupta has done PhD (5G-IoT in Healthcare), M.Tech, and B.Tech for her academic Pensiveness.
Rajesh Singh, PhD, is associated with Uttaranchal University as Professor and Director (Research & Innovation) with more than twenty years of experience in academics and research. His area of expertise includes embedded systems, robotics, wireless sensor networks, Internet of Things and Machine Learning. He has been honored as keynote speakers and session chair to international/national conferences, faculty development programs, workshops and webinars. He has filed more than 500 IPR, including 100+ Indian & International patent grants, 5 PCT and published more than 439 research papers in SCI/Scopus journals. He has authored/edited forty three books in the area of Embedded Systems and Internet of Things with reputed publishers like CRC/Taylor & Francis, Springer, Narosa, NIPA, River Publishers, Bentham Science, IGI Global, NOVA Science etc. He has been featured by Indian and International media for smart systems and devices designed by him including-OBDAS, E-Parirakshak, Kawach, 20Sec4Life, Ally, Alithis, CT scan Diagnosis, among which five are designed to prevent COVID-19 as per WHO guidelines.
Anita Gehlot, PhD, is associated with Uttaranchal University as Professor and Head - Research & Innovation with more than sixteen years of experience. Her area of expertise includes embedded systems, wireless sensor networks, Internet of Things, Artificial Intelligence and Automation. She has been featured among top ten inventors for ten years 2010-2020, by Clarivate Analytics in "India's Innovation Synopsis" in March 2021. She has filed more than five hundred patents including more than hundered Indian & International patent grants, 5 PCT and published more than three hundred and fifty research papers in SCI/Scopus journals. Five scholars have been awarded with PhD under her supervision.
Ankur Dumka, PhD, is working as associate professor from past 6 years and holding various administrative post. He was coordinator and member of smart city dehradun for drafting of proposal. He is having more than 140 research papers with more than 60 sci and Scopus journal publication and more than 120 Scopus publication. He has contributed 8 authored books with reputed international publishers, 15 book chapters, 8 patents granted under his name and 7 published, he is handling 1 research project of more than 10 lakh and 1 consultancy project of govt. Medical college.
Content
Chapter 1: Introduction
* 1.1 Overview of the Internet of Things (IoT)
* 1.2 Challenges in IoT
* 1.3 Security issues in IoT
* 1.4 Rise of IoT Botnets
* 1.5 Objectives and Scope of the IoT botnet
* 1.6 Conclusion
Chapter 2: IoT Device Vulnerabilities
* 2.1 IoT Architecture, protocol, and Techology
* 2.2 Common Security Weaknesses in IoT Devices
* 2.2 Firmware and Software Vulnerabilities
* 2.3 Inadequate Authentication and Authorization
* 2.4 Insufficient Data Protection and Privacy
* 2.5 The Role of Manufacturers in IoT Security
* 2.6 Conclusion
Chapter 3: Understanding IoT Botnets
* 3.1 Anatomy of a Botnet
* 3.2 Types of Botnets: From PC-Based to IoT Botnets
* 3.3 Common Botnet Attacks: DDoS, Spam, and Data Theft
* 3.4 Command-and-Control (C&C) Infrastructure
* 3.5 Infection Vectors and Propagation Techniques
* 3.6 Persistence and Evasion Tactics
* 3.7 Conclusion
Chapter 4: Real-World IoT Botnet Case Studies
* 4.1 The Mirai Botnet
* 4.2 The Hajime Botnet
* 4.3 The Reaper Botnet
* 4.4 Analysis of Recent IoT Botnet Attacks
* 4.5 Research findings from Case Studies
Chapter 5: Detection Techniques for IoT Botnets
* 5.1 Signature-Based Detection
* 5.2 Anomaly-Based Detection
* 5.3 Behavior Analysis
* 5.4 Machine Learning and AI Approaches
* 5.5 Network Traffic Analysis and Behavioral Monitoring
* 5.6 Challenges in Detecting IoT Botnets
Chapter 6: Mitigation and Prevention Strategies
* 6.1 Best Practices for Securing IoT Devices
* 6.2 Firmware Updates and Patch Management
* 6.3 Strong Authentication and Encryption Mechanisms
* 6.4 Network Segmentation and Isolation
* 6.5 Incident Response and Recovery Strategies
Chapter 7: The Role of IoT Manufacturers and Developers
* 7.1 Secure Software Development Life Cycle (SDLC) for IoT
* 7.2 Implementing Security by Design
* 7.3 The Importance of User Education and Awareness
* 7.4 Industry Standards and Certifications
Chapter 8: Global Perspectives on IoT Security
* 8.1 International Standards and Frameworks
* 8.2 The Role of Governments and Regulatory Bodies
* 8.3 Collaborative Efforts in Combatting IoT Botnets
* 8.4 The Future of Global IoT Security
Chapter 9: Future Trends in IoT Botnets and Security
* 9.1 Emerging Threats in IoT Ecosystems
* 9.2 The Role of AI and Machine Learning in Future Botnets
* 9.3 Predicting and Preparing for the Next Wave of Attacks
* 9.4 Innovations in Detection and Prevention Technologies
Conclusion
* Summary
* The Importance of a Proactive Approach to IoT Security
* Final Thoughts on the Evolving IoT Threat Landscape
* 1.1 Overview of the Internet of Things (IoT)
* 1.2 Challenges in IoT
* 1.3 Security issues in IoT
* 1.4 Rise of IoT Botnets
* 1.5 Objectives and Scope of the IoT botnet
* 1.6 Conclusion
Chapter 2: IoT Device Vulnerabilities
* 2.1 IoT Architecture, protocol, and Techology
* 2.2 Common Security Weaknesses in IoT Devices
* 2.2 Firmware and Software Vulnerabilities
* 2.3 Inadequate Authentication and Authorization
* 2.4 Insufficient Data Protection and Privacy
* 2.5 The Role of Manufacturers in IoT Security
* 2.6 Conclusion
Chapter 3: Understanding IoT Botnets
* 3.1 Anatomy of a Botnet
* 3.2 Types of Botnets: From PC-Based to IoT Botnets
* 3.3 Common Botnet Attacks: DDoS, Spam, and Data Theft
* 3.4 Command-and-Control (C&C) Infrastructure
* 3.5 Infection Vectors and Propagation Techniques
* 3.6 Persistence and Evasion Tactics
* 3.7 Conclusion
Chapter 4: Real-World IoT Botnet Case Studies
* 4.1 The Mirai Botnet
* 4.2 The Hajime Botnet
* 4.3 The Reaper Botnet
* 4.4 Analysis of Recent IoT Botnet Attacks
* 4.5 Research findings from Case Studies
Chapter 5: Detection Techniques for IoT Botnets
* 5.1 Signature-Based Detection
* 5.2 Anomaly-Based Detection
* 5.3 Behavior Analysis
* 5.4 Machine Learning and AI Approaches
* 5.5 Network Traffic Analysis and Behavioral Monitoring
* 5.6 Challenges in Detecting IoT Botnets
Chapter 6: Mitigation and Prevention Strategies
* 6.1 Best Practices for Securing IoT Devices
* 6.2 Firmware Updates and Patch Management
* 6.3 Strong Authentication and Encryption Mechanisms
* 6.4 Network Segmentation and Isolation
* 6.5 Incident Response and Recovery Strategies
Chapter 7: The Role of IoT Manufacturers and Developers
* 7.1 Secure Software Development Life Cycle (SDLC) for IoT
* 7.2 Implementing Security by Design
* 7.3 The Importance of User Education and Awareness
* 7.4 Industry Standards and Certifications
Chapter 8: Global Perspectives on IoT Security
* 8.1 International Standards and Frameworks
* 8.2 The Role of Governments and Regulatory Bodies
* 8.3 Collaborative Efforts in Combatting IoT Botnets
* 8.4 The Future of Global IoT Security
Chapter 9: Future Trends in IoT Botnets and Security
* 9.1 Emerging Threats in IoT Ecosystems
* 9.2 The Role of AI and Machine Learning in Future Botnets
* 9.3 Predicting and Preparing for the Next Wave of Attacks
* 9.4 Innovations in Detection and Prevention Technologies
Conclusion
* Summary
* The Importance of a Proactive Approach to IoT Security
* Final Thoughts on the Evolving IoT Threat Landscape