Anatomy of IoT botnets and detection methods / Umang Garg, Neha Gupta, Rajesh Singh, Anita Gehlot and Ankur Dumka.

Author/creator Garg, Umang
Format Electronic
EditionFirst edition.
Publication InfoBoca Raton : CRC Press, 2026.
Descriptionpages cm
Supplemental ContentFull text available from eBooks on EBSCOhost
Subjects

Partial contents IoT device vulnerabilities -- Understanding IoT botnets -- Real-world IoT botnet case studies -- Detection techniques for IoT botnets -- Mitigation and prevention strategies -- The role of IoT manufacturers and developers -- Global perspectives on IoT security -- Future trends in IoT botnets and security.
Abstract "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 like 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"-- Provided by publisher.
Bibliography noteIncludes bibliographical references and index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
LCCN 2025027553
ISBN9781041050223 hbk
ISBN9781041051350 pbk
ISBNebk

Availability

Library Location Call Number Status Item Actions
Electronic Resources Access Content Online ✔ Available