Deep Learning Strategies for Security Enhancement in Wireless Sensor Networks PDF Download
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Author: Sagayam, K. Martin
Publisher: IGI Global
ISBN: 1799850692
Category : Computers
Languages : en
Pages : 405
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Book Description
Wireless sensor networks have gained significant attention industrially and academically due to their wide range of uses in various fields. Because of their vast amount of applications, wireless sensor networks are vulnerable to a variety of security attacks. The protection of wireless sensor networks remains a challenge due to their resource-constrained nature, which is why researchers have begun applying several branches of artificial intelligence to advance the security of these networks. Research is needed on the development of security practices in wireless sensor networks by using smart technologies. Deep Learning Strategies for Security Enhancement in Wireless Sensor Networks provides emerging research exploring the theoretical and practical advancements of security protocols in wireless sensor networks using artificial intelligence-based techniques. Featuring coverage on a broad range of topics such as clustering protocols, intrusion detection, and energy harvesting, this book is ideally designed for researchers, developers, IT professionals, educators, policymakers, practitioners, scientists, theorists, engineers, academicians, and students seeking current research on integrating intelligent techniques into sensor networks for more reliable security practices.
Author: Sagayam, K. Martin
Publisher: IGI Global
ISBN: 1799850692
Category : Computers
Languages : en
Pages : 405
Get Book Here
Book Description
Wireless sensor networks have gained significant attention industrially and academically due to their wide range of uses in various fields. Because of their vast amount of applications, wireless sensor networks are vulnerable to a variety of security attacks. The protection of wireless sensor networks remains a challenge due to their resource-constrained nature, which is why researchers have begun applying several branches of artificial intelligence to advance the security of these networks. Research is needed on the development of security practices in wireless sensor networks by using smart technologies. Deep Learning Strategies for Security Enhancement in Wireless Sensor Networks provides emerging research exploring the theoretical and practical advancements of security protocols in wireless sensor networks using artificial intelligence-based techniques. Featuring coverage on a broad range of topics such as clustering protocols, intrusion detection, and energy harvesting, this book is ideally designed for researchers, developers, IT professionals, educators, policymakers, practitioners, scientists, theorists, engineers, academicians, and students seeking current research on integrating intelligent techniques into sensor networks for more reliable security practices.
Author: Yang Xiao
Publisher: CRC Press
ISBN: 1420067125
Category : Computers
Languages : en
Pages : 352
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Book Description
A detailed review of underwater channel characteristics, Underwater Acoustic Sensor Networks investigates the fundamental aspects of underwater communication. Prominent researchers from around the world consider contemporary challenges in the development of underwater acoustic sensor networks (UW-ASNs) and introduce a cross-layer approach for effec
Author: Bhanu Chander
Publisher: CRC Press
ISBN: 1040027121
Category : Technology & Engineering
Languages : en
Pages : 368
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Book Description
The edited book Intelligent Wireless Sensor Networks and Internet of Things: Algorithms, Methodologies and Applications is intended to discuss the progression of recent as well as future generation technologies for WSNs and IoTs applications through Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL). In general, computing time is obviously increased when the massive data is required from sensor nodes in WSN’s. the novel technologies such as 5G and 6G provides enough bandwidth for large data transmissions, however, unbalanced links faces the novel constraints on the geographical topology of the sensor networks. Above and beyond, data transmission congestion and data queue still happen in the WSNs. This book: Addresses the complete functional framework workflow in WSN and IoT domains using AI, ML, and DL models Explores basic and high-level concepts of WSN security, and routing protocols, thus serving as a manual for those in the research field as the beginners to understand both basic and advanced aspects sensors, IoT with ML & DL applications in real-world related technology Based on the latest technologies such as 5G, 6G and covering the major challenges, issues, and advances of protocols, and applications in wireless system Explores intelligent route discovering, identification of research problems and its implications to the real world Explains concepts of IoT communication protocols, intelligent sensors, statistics and exploratory data analytics, computational intelligence, machine learning, and Deep learning algorithms for betterment of the smarter humanity Explores intelligent data processing, deep learning frameworks, and multi-agent systems in IoT-enabled WSN system This book demonstrates and discovers the objectives, goals, challenges, and related solutions in advanced AI, ML, and DL approaches This book is for graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, and information technology.
Author: Prof. (Dr.) Shailesh
Publisher: Allied Publishers
ISBN: 9389934990
Category : Computers
Languages : en
Pages : 90
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Book Description
This proceedings of Symposium on DAMLAI–2024, jointly organized by GTU – Ahmedabad and ISI – Kolkata, includes extended abstracts of research problems under study, by the research scholars of GTU, along with the proposed solution and primary results. These problems encompass blood glucose estimation, state of human minds during the meditation, underwater wireless sensor networks, automatic analog circuit environment, image steganography, employability of the students, reward-based crowdfunding, flood hazard, prediction of lung cancer, cloud computing security and wireless networked control systems. The book also contains various use cases, new algorithms, novel solutions of real-time problems based on AI, ML and DA for supply chain management, quality management, manufacturing systems, healthcare, transportation developed by invited experts of Indian Statistical Institute, Kolkata and Indian Institute of Management, Ahmedabad. The book will be useful to the students of under graduate and post graduate who are willing to contribute in related cutting-edge technologies. It will also inspire them to explore opportunities in artificial intelligence and connected research domains.
Author: Fahim Masoodi
Publisher: CRC Press
ISBN: 1040025625
Category : Computers
Languages : en
Pages : 355
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Book Description
The Internet of Things (IoT) is a widely distributed and networked system of interrelated and interacting computing devices and objects. Because of IoT’s broad scope, it presents unique security problems, ranging from unsecure devices to users vulnerable to hackers. Presenting cutting- edge research to meet these challenges, Internet of Things Vulnerabilities and Recovery Strategies presents models of attack on IoT systems and solutions to prevent such attacks. Examining the requirements to secure IoT- systems, the book offers recovery strategies and addresses security concerns related to: Data Routing Data Integrity Device Supervision IoT Integration Information Storage IoT Performance The book takes a holistic approach that encompasses visibility, segmentation, and protection. In addition to visual approaches and policy- driven measures, the book looks at developing secure and fault- tolerant IoT devices. It examines how to locate faults and presents mitigation strategies, as well as security models to prevent and thwart hacking. The book also examines security issues related to IoT systems and device maintenance.
Author: Mahalle, Parikshit N.
Publisher: IGI Global
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 496
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Book Description
Today, data fuels everything we do in a highly connected world. However, traditional environmental monitoring methods often fail to provide timely and accurate data for effective decision-making in today's rapidly changing ecosystems. The reliance on manual data collection and outdated technologies results in gaps in data coverage, making it challenging to detect and respond to environmental changes in real time. Additionally, integration between monitoring systems and advanced data analysis tools is necessary to derive actionable insights from collected data. As a result, environmental managers and policymakers face significant challenges in effectively monitoring, managing, and conserving natural resources in a rapidly evolving environment. Machine Learning for Environmental Monitoring in Wireless Sensor Networks offers a comprehensive solution to the limitations of traditional environmental monitoring methods. By harnessing the power of Wireless Sensor Networks (WSNs) and advanced machine learning algorithms, this book presents a novel approach to ecological monitoring that enables real-time, high-resolution data collection and analysis. By integrating WSNs and machine learning, environmental stakeholders can gain deeper insights into complex ecological processes, allowing for more informed decision-making and proactive management of natural resources.
Author: Sanyog Rawat
Publisher: Springer Nature
ISBN: 9819719461
Category :
Languages : en
Pages : 395
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Book Description
Author: Azzedine Boukerche
Publisher: John Wiley & Sons
ISBN: 0470396350
Category : Technology & Engineering
Languages : en
Pages : 566
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Book Description
A one-stop resource for the use of algorithms and protocols in wireless sensor networks From an established international researcher in the field, this edited volume provides readers with comprehensive coverage of the fundamental algorithms and protocols for wireless sensor networks. It identifies the research that needs to be conducted on a number of levels to design and assess the deployment of wireless sensor networks, and provides an in-depth analysis of the development of the next generation of heterogeneous wireless sensor networks. Divided into nineteen succinct chapters, the book covers: mobility management and resource allocation algorithms; communication models; energy and power consumption algorithms; performance modeling and simulation; authentication and reputation mechanisms; algorithms for wireless sensor and mesh networks; and algorithm methods for pervasive and ubiquitous computing; among other topics. Complete with a set of challenging exercises, this book is a valuable resource for electrical engineers, computer engineers, network engineers, and computer science specialists. Useful for instructors and students alike, Algorithms and Protocols for Wireless Sensor Networks is an ideal textbook for advanced undergraduate and graduate courses in computer science, electrical engineering,and network engineering.
Author: Been-Chian Chien
Publisher: Springer
ISBN: 3642025684
Category : Computers
Languages : en
Pages : 857
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Book Description
The International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems (IEA/AIE), always sponsored by the International So- ety of Applied Intelligence (ISAI), emphasizes applications of applied intelligent systems to solve real-life problems in all areas. It is held every year and has become one of the biggest and most important academic activities concerning the theory and applications of intelligent systems in the world. The IEA/AIE 2009 conference was hosted by the National University of Tainan and National University of Kaohsiung in Taiwan. This was the first time that the IEA/AIE conference was held in Taiwan. We received 286 papers from all parts of the world. Only 84 papers were selected for publication in this volume of LNAI proceedings. Each paper was reviewed by at least two anonymous referees to assure the high quality. We would like to express our sincere thanks to the Program Committee members and all the reviewers for their hard work, which helped us to select the highest quality papers for the conference. These papers highlight opportunities and challenges for the next generation of applied int- ligence and reveal technological innovations in real applications.
Author: Raghvendra Kumar
Publisher: Springer Nature
ISBN: 9811575274
Category : Technology & Engineering
Languages : en
Pages : 975
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Book Description
This book comprises select peer-reviewed proceedings of the international conference on Research in Intelligent and Computing in Engineering (RICE 2020) held at Thu Dau Mot University, Vietnam. The volume primarily focuses on latest research and advances in various computing models such as centralized, distributed, cluster, grid, and cloud computing. Practical examples and real-life applications of wireless sensor networks, mobile ad hoc networks, and internet of things, data mining and machine learning are also covered in the book. The contents aim to enable researchers and professionals to tackle the rapidly growing needs of network applications and the various complexities associated with them.
