A Study Of Black Hole Attack Solutions


A Study Of Black Hole Attack Solutions
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A Study Of Black Hole Attack Solutions


A Study Of Black Hole Attack Solutions
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Author : Elahe Fazeldehkordi
language : en
Publisher: Syngress
Release Date : 2015-11-03

A Study Of Black Hole Attack Solutions written by Elahe Fazeldehkordi and has been published by Syngress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-11-03 with Computers categories.


Mobile Ad Hoc Networks (MANETs) are a popular form of network for data transfer due to the fact that they are dynamic, require no fixed infrastructure, and are scalable. However, MANETs are particularly susceptible to several different types of widely perpetrated cyberattack. One of the most common hacks aimed at MANETs is the Black Hole attack, in which a particular node within the network displays itself as having the shortest path for the node whose packets it wants to intercept. Once the packets are drawn to the Black Hole, they are then dropped instead of relayed, and the communication of the MANET is thereby disrupted, without knowledge of the other nodes in the network. Due to the sophistication of the Black Hole attack, there has been a lot of research conducted on how to detect it and prevent it. The authors of this short format title provide their research results on providing an effective solution to Black Hole attacks, including introduction of new MANET routing protocols that can be implemented in order to improve detection accuracy and network parameters such as total dropped packets, end-to-end delay, packet delivery ratio, and routing request overhead. Elaborates on the basics of wireless networks, MANETs Explains the significance behind the need of wireless networks and MANET security Understand MANET routing protocols, namely the ADOV method



A Study Of Black Hole Attack Solutions


A Study Of Black Hole Attack Solutions
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language : en
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A Study Of Black Hole Attack Solutions written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.




Comparative Study Of Multiple Black Hole Attacks Solution Methods In Manet Using Aodv Routing Protocol


Comparative Study Of Multiple Black Hole Attacks Solution Methods In Manet Using Aodv Routing Protocol
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Author : E. Fazeldehkordi
language : en
Publisher: Createspace Independent Pub
Release Date : 2014-07-09

Comparative Study Of Multiple Black Hole Attacks Solution Methods In Manet Using Aodv Routing Protocol written by E. Fazeldehkordi and has been published by Createspace Independent Pub this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-07-09 with Technology & Engineering categories.


Mobile Wireless Ad Hoc Networks (MANET) is non-centralized wireless networks that can be formulated without the need for any pre-existing infrastructure in which each node can act as a router. It must discover its local neighbours and through them it will communicate to nodes that are out of its transmission range. Various features like open medium, dynamic topology, lack of clear lines of defence, makes MANET vulnerable to security attacks. Ad hoc On-demand Distance Vector routing (AODV) is one of the best and popular routing algorithms. AODV is severely affected by well-known black hole attack in which a malicious node injects a faked route reply message that it has a fresh route to destination. In this book, MANET performance against single black hole attack has compared with its performance against multiple black hole attacks by using Intrusion Detection System (IDSAODV) routing protocol (Dokurer, 2006). The result are analysed using NS-2.35, through various network parameter bases: total drop packets, end to end delay, packet delivery ratio and routing request overhead. The results indicate IDSAODV solution method which is presented for single black hole attack before, can be used effectively for decreasing total drop packets and improving packet delivery ratio against multiple black hole attacks, also. But, the method doesn't have significant effect for improving end to end delay and routing request overhead.



Deep Learning Strategies For Security Enhancement In Wireless Sensor Networks


Deep Learning Strategies For Security Enhancement In Wireless Sensor Networks
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Author : Sagayam, K. Martin
language : en
Publisher: IGI Global
Release Date : 2020-06-12

Deep Learning Strategies For Security Enhancement In Wireless Sensor Networks written by Sagayam, K. Martin and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-12 with Computers categories.


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.



Advances In Computer Science And Ubiquitous Computing


Advances In Computer Science And Ubiquitous Computing
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Author : James J. Park
language : en
Publisher: Springer Nature
Release Date : 2021-01-04

Advances In Computer Science And Ubiquitous Computing written by James J. Park and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-04 with Technology & Engineering categories.


This book presents the combined proceedings of the 11th International Conference on Computer Science and its Applications (CSA 2019) and the 14th KIPS International Conference on Ubiquitous Information Technologies and Applications (CUTE 2019), both held in Macau, China, December 18–20, 2019. The aim of these two meetings was to promote discussion and interaction among academics, researchers and professionals in the field of ubiquitous computing technologies. These proceedings reflect the state of the art in the development of computational methods, involving theory, algorithms, numerical simulation, error and uncertainty analysis and novel applications of new processing techniques in engineering, science and other disciplines related to ubiquitous computing.



Smart And Innovative Trends In Next Generation Computing Technologies


Smart And Innovative Trends In Next Generation Computing Technologies
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Author : Pushpak Bhattacharyya
language : en
Publisher: Springer
Release Date : 2018-06-08

Smart And Innovative Trends In Next Generation Computing Technologies written by Pushpak Bhattacharyya and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-06-08 with Computers categories.


The two-volume set CCIS 827 and 828 constitutes the thoroughly refereed proceedings of the Third International Conference on Next Generation Computing Technologies, NGCT 2017, held in Dehradun, India, in October 2017. The 135 full papers presented were carefully reviewed and selected from 948 submissions. There were organized in topical sections named: Smart and Innovative Trends in Communication Protocols and Standards; Smart and Innovative Trends in Computational Intelligence and Data Science; Smart and Innovative Trends in Image Processing and Machine Vision; Smart Innovative Trends in Natural Language Processing for Indian Languages; Smart Innovative Trends in Security and Privacy.



Intelligent Secure Trustable Things


Intelligent Secure Trustable Things
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Author : Michael Karner
language : en
Publisher: Springer Nature
Release Date :

Intelligent Secure Trustable Things written by Michael Karner and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.




Networking Intelligent Systems And Security


Networking Intelligent Systems And Security
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Author : Mohamed Ben Ahmed
language : en
Publisher: Springer Nature
Release Date : 2021-10-01

Networking Intelligent Systems And Security written by Mohamed Ben Ahmed and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-01 with Technology & Engineering categories.


This book gathers best selected research papers presented at the International Conference on Networking, Intelligent Systems and Security, held in Kenitra, Morocco, during 01–02 April 2021. The book highlights latest research and findings in the field of ICT, and it provides new solutions, efficient tools, and techniques that draw on modern technologies to increase urban services. In addition, it provides a critical overview of the status quo, shares new propositions, and outlines future perspectives in networks, smart systems, security, information technologies, and computer science.



Cryptography Breakthroughs In Research And Practice


Cryptography Breakthroughs In Research And Practice
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Author : Management Association, Information Resources
language : en
Publisher: IGI Global
Release Date : 2019-12-06

Cryptography Breakthroughs In Research And Practice written by Management Association, Information Resources and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-06 with Computers categories.


Advances in technology have provided numerous innovations that make people’s daily lives easier and more convenient. However, as technology becomes more ubiquitous, corresponding risks also increase. The field of cryptography has become a solution to this ever-increasing problem. Applying strategic algorithms to cryptic issues can help save time and energy in solving the expanding problems within this field. Cryptography: Breakthroughs in Research and Practice examines novel designs and recent developments in cryptographic security control procedures to improve the efficiency of existing security mechanisms that can help in securing sensors, devices, networks, communication, and data. Highlighting a range of topics such as cyber security, threat detection, and encryption, this publication is an ideal reference source for academicians, graduate students, engineers, IT specialists, software engineers, security analysts, industry professionals, and researchers interested in expanding their knowledge of current trends and techniques within the cryptology field.



Machine Learning For Computer And Cyber Security


Machine Learning For Computer And Cyber Security
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Author : Brij B. Gupta
language : en
Publisher: CRC Press
Release Date : 2019-02-05

Machine Learning For Computer And Cyber Security written by Brij B. Gupta and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-05 with Computers categories.


While Computer Security is a broader term which incorporates technologies, protocols, standards and policies to ensure the security of the computing systems including the computer hardware, software and the information stored in it, Cyber Security is a specific, growing field to protect computer networks (offline and online) from unauthorized access, botnets, phishing scams, etc. Machine learning is a branch of Computer Science which enables computing machines to adopt new behaviors on the basis of observable and verifiable data and information. It can be applied to ensure the security of the computers and the information by detecting anomalies using data mining and other such techniques. This book will be an invaluable resource to understand the importance of machine learning and data mining in establishing computer and cyber security. It emphasizes important security aspects associated with computer and cyber security along with the analysis of machine learning and data mining based solutions. The book also highlights the future research domains in which these solutions can be applied. Furthermore, it caters to the needs of IT professionals, researchers, faculty members, scientists, graduate students, research scholars and software developers who seek to carry out research and develop combating solutions in the area of cyber security using machine learning based approaches. It is an extensive source of information for the readers belonging to the field of Computer Science and Engineering, and Cyber Security professionals. Key Features: This book contains examples and illustrations to demonstrate the principles, algorithms, challenges and applications of machine learning and data mining for computer and cyber security. It showcases important security aspects and current trends in the field. It provides an insight of the future research directions in the field. Contents of this book help to prepare the students for exercising better defense in terms of understanding the motivation of the attackers and how to deal with and mitigate the situation using machine learning based approaches in better manner.