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Detection of Primary User Emulation Attack in Cognitive Radio Networks based on TDOA using Novel Bat Algorithm (Paperback or Softback)
Language: English
Published by Grin Verlag 5/28/2019, 2019
ISBN 10: 3668943400 ISBN 13: 9783668943407
Paperback or Softback. Condition: New. Detection of Primary User Emulation Attack in Cognitive Radio Networks based on TDOA using Novel Bat Algorithm. Book.
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Condition: As New. Unread book in perfect condition.
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Condition: As New. Unread book in perfect condition.
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Networks Attack Detection on 5G Networks using Data Mining Techniques (Wireless Communications and Networking Technologies)
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Detection of Primary User Emulation Attack in Cognitive Radio Networks based on TDOA using Novel Bat Algorithm
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Detection of Primary User Emulation Attack in Cognitive Radio Networks based on TDOA using Novel Bat Algorithm
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Networks Attack Detection on 5g Networks Using Data Mining Techniques
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Packet Drop Attack Detection In Mobile Adhoc Networks using ANN
Language: English
Published by LAP LAMBERT Academic Publishing, 2018
ISBN 10: 613982723X ISBN 13: 9786139827237
Taschenbuch. Condition: Neu. Packet Drop Attack Detection In Mobile Adhoc Networks using ANN | Innocent Mapanga | Taschenbuch | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786139827237 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Master's Thesis from the year 2017 in the subject Computer Science - General, grade: 8.63, , course: M. Tech - Cognitive Radio Networks, language: English, abstract: Cognitive Radio Network (CRN) Technology makes the efficient utilization of scarce spectrum resources by allowing the unlicensed users to opportunistically use the licensed spectrum bands. Cognitive Radio Technology has gained a lot of attention from the researchers over the years however insufficient research has been done related to its security. Cognitive Radio Network due to its flexible and open nature is vulnerable to a number of security attacks. In this thesis we recognize different types of attacks at different layers of protocol stack. This thesis is mainly concerned with one of the physical layer attack called Primary User Emulation Attack and its detection. PUE Attack adversely affects the CRN performance and can also sometimes lead to Denial of Service to CR networks. In Primary User Emulation Attack the attacker imitates the signal characteristics of the Primary User. This thesis first provides introduction to CRN, its architecture and sensing techniques and also discusses various attacks and their counter measures. Then it mainly focuses on PUE attack and examines its mitigation techniques. This thesis solves the problem of PUE attack by localization technique based on TDOA measurements with reduced error in location estimation using a Novel Bat Algorithm (NBA). A number of cooperative secondary users are used for detecting the PUEA by comparing its estimated position with the known position of incumbent. The main goal of Novel Bat Algorithm (NBA) is to minimize two fitness functions namely non-linear least square (NLS) and the maximum likelihood (ML) in order to optimize the error in estimation.After evaluation, simulation results clearly demonstrates that NBA results in reduced estimation error as compared to Taylor Series Estimation (TSE) and Particle Swarm Optimization (PSO) and it also needs smaller number of secondary users for cooperation. Also maximum likelihood function performs better than non-linear least square function.
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Networks Attack Detection on 5g Networks Using Data Mining Techniques
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Condition: New. Dr. Sagar Dhanraj PandeAssistant Professor, Department of Computer Science and Engineering, School of Engineering and Technology, Pimpri Chinchwad University (PCU), Pune, Maharashtra, India.Dr. Sagar Dhanraj Pande has exper.
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Application of Mobile Adhoc Networks in Routing | Wormhole Attack Detection using DSR
Language: English
Published by LAP LAMBERT Academic Publishing, 2026
ISBN 10: 6206718107 ISBN 13: 9786206718109
Taschenbuch. Condition: Neu. Application of Mobile Adhoc Networks in Routing | Wormhole Attack Detection using DSR | Krishna Kumar Joshi (u. a.) | Taschenbuch | Englisch | 2026 | LAP LAMBERT Academic Publishing | EAN 9786206718109 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.
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Networks Attack Detection on 5g Networks Using Data Mining Techniques
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Condition: New. 1st edition NO-PA16APR2015-KAP.
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Networks Attack Detection on 5G Networks using Data Mining Techniques
Language: English
Published by Taylor & Francis Ltd Mai 2026, 2026
ISBN 10: 1032746572 ISBN 13: 9781032746579
Taschenbuch. Condition: Neu. Neuware - Artificial intelligence (AI) and its applications have risen to prominence as one of the most active study areas in recent years. In recent years, a rising number of AI applications have been applied in a variety of areas. Agriculture, transportation, medicine, and health are all being transformed by AI technology. The Internet of Things (IoT) market is thriving, having a significant impact on a wide variety of industries and applications, including e-health care, smart cities, smart transportation, and industrial engineering. Recent breakthroughs in artificial intelligence and machine learning techniques have reshaped various aspects of artificial vision, considerably improving the state of the art for artificial vision systems across a broad range of high-level tasks. As a result, several innovations and studies are being conducted to improve the performance and productivity of IoT devices across multiple industries using machine learning and artificial intelligence. Security is a primary consideration when analyzing the next generation communication network due to the rapid advancement of technology. Additionally, data analytics, deep intelligence, deep learning, cloud computing, and intelligent solutions are being employed in medical, agricultural, industrial, and health care systems that are based on the Internet of Things. This book will look at cutting-edge Network Attacks and Security solutions that employ intelligent data processing and Machine Learning (ML) methods.
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Networks Attack Detection on 5g Networks Using Data Mining Techniques
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Networks Attack Detection on 5G Networks using Data Mining Techniques (Wireless Communications and Networking Technologies)
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Networks Attack Detection on 5G Networks using Data Mining Techniques
Language: English
Published by Taylor & Francis Ltd, 2024
ISBN 10: 1032530189 ISBN 13: 9781032530185
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Add to basketHardcover. Condition: Brand New. 240 pages. 9.19x6.13x9.21 inches. In Stock.
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Packet Drop Attack Detection In Mobile Adhoc Networks using ANN
Language: English
Published by LAP LAMBERT Academic Publishing Apr 2018, 2018
ISBN 10: 613982723X ISBN 13: 9786139827237
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Intrusion Detection Systems uses multiple methods to detect and prevent network attacks. A good IDS should be designed to reduce false positives and to ensure that only actual malicious traffic is detected and stopped .This study focuses on detecting the presence of malicious nodes that selectively or randomly drop packets intended for other destination nodes in Mobile Ad-hoc Networks(MANETs) ,it further classifies each packet drop attack, according to its attack type by observing and analyzing how each packet drop attack affect the network characteristics. Network security monitoring is based on the principle that prevention eventually fails. In the current threat landscape, no matter how much you try, motivated attackers will eventually find their way into your network. At that point, your ability to detect and respond to that intrusion can be the difference between a small incident and a major disaster. This study follows a three-stage cycle: i. data collection ii. data analysis iii. detection and classification. This syudy motivates the intelligent use of artificial neural networks that makes use of local data collected at each node in detecting malicious activities. 84 pp. Englisch.
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Detection of Primary User Emulation Attack in Cognitive Radio Networks based on TDOA using Novel Bat Algorithm
Language: English
Published by GRIN Verlag Mai 2019, 2019
ISBN 10: 3668943400 ISBN 13: 9783668943407
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Master's Thesis from the year 2017 in the subject Computer Science - General, grade: 8.63, , course: M. Tech - Cognitive Radio Networks, language: English, abstract: Cognitive Radio Network (CRN) Technology makes the efficient utilization of scarce spectrum resources by allowing the unlicensed users to opportunistically use the licensed spectrum bands. Cognitive Radio Technology has gained a lot of attention from the researchers over the years however insufficient research has been done related to its security. Cognitive Radio Network due to its flexible and open nature is vulnerable to a number of security attacks. In this thesis we recognize different types of attacks at different layers of protocol stack. This thesis is mainly concerned with one of the physical layer attack called Primary User Emulation Attack and its detection. PUE Attack adversely affects the CRN performance and can also sometimes lead to Denial of Service to CR networks. In Primary User Emulation Attack the attacker imitates the signal characteristics of the Primary User. This thesis first provides introduction to CRN, its architecture and sensing techniques and also discusses various attacks and their counter measures. Then it mainly focuses on PUE attack and examines its mitigation techniques. This thesis solves the problem of PUE attack by localization technique based on TDOA measurements with reduced error in location estimation using a Novel Bat Algorithm (NBA). A number of cooperative secondary users are used for detecting the PUEA by comparing its estimated position with the known position of incumbent. The main goal of Novel Bat Algorithm (NBA) is to minimize two fitness functions namely non-linear least square (NLS) and the maximum likelihood (ML) in order to optimize the error in estimation.After evaluation, simulation results clearly demonstrates that NBA results in reduced estimation error as compared to Taylor Series Estimation (TSE) and Particle Swarm Optimization (PSO) and it also needs smaller number of secondary users for cooperation. Also maximum likelihood function performs better than non-linear least square function. 92 pp. Englisch.
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Packet Drop Attack Detection In Mobile Adhoc Networks using ANN
Language: English
Published by LAP LAMBERT Academic Publishing, 2018
ISBN 10: 613982723X ISBN 13: 9786139827237
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Mapanga InnocentInnocent Mapanga was born in Zimbabwe. He received his B.Sc. Honors degree in Computer Science from Bindura University of Science Education, Zimbabwe, in 2008 and an MTech in Computer Science & Engineering from Delhi .
