Anomaly Detection Through Statistics Based Machine Learning For Computer Networks
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Anomaly Detection Through Statistics Based Machine Learning For Computer Networks
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Author :
language : en
Publisher:
Release Date : 2006
Anomaly Detection Through Statistics Based Machine Learning For Computer Networks written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Computer networks categories.
The intrusion detection in computer networks is a complex research problem, which requires the understanding of computer networks and the mechanism of intrusions, the configuration of sensors and the collected data, the selection of the relevant attributes, and the monitor algorithms for online detection. It is critical to develop general methods for data dimension reduction, effective monitoring algorithms for intrusion detection, and means for their performance improvement. This dissertation is motivated by the timely need to develop statistics-based machine learning methods for effective detection of computer network anomalies. Three fundamental research issues related to data dimension reduction, control charts design and performance improvement have been addressed accordingly. The major research activities and corresponding contributions are summarized as follows:(1) Filter and Wrapper models are integrated to extract a small number of the informative attributes for computer network intrusion detection. A two-phase analyses method is proposed for the integration of Filter and Wrapper models. The proposed method has successfully reduced the original 41 attributes to 12 informative attributes while increasing the accuracy of the model. The comparison of the results in each phase shows the effectiveness of the proposed method.(2) Supervised kernel based control charts for anomaly intrusion detection. We propose to construct control charts in a feature space. The first contribution is the use of multi-objective Genetic Algorithm in the parameter pre-selection for SVM based control charts. The second contribution is the performance evaluation of supervised kernel based control charts.(3) Unsupervised kernel based control charts for anomaly intrusion detection. Two types of unsupervised kernel based control charts are investigated: Kernel PCA control charts and Support Vector Clustering based control charts. The applications of SVC based control charts on computer networks audit data are also discussed to demonstrate the effectiveness of the proposed method. Although the developed methodologies in this dissertation are demonstrated in the computer network intrusion detection applications, the methodologies are also expected to be applied to other complex system monitoring, where the database consists of a large dimensional data with non-Gaussian distribution.
Anomaly Detection Using The Correlational Paraconsistent Machine With Digital Signatures Of Network Segment
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Author : Eduardo H.M. Pena
language : en
Publisher: Infinite Study
Release Date :
Anomaly Detection Using The Correlational Paraconsistent Machine With Digital Signatures Of Network Segment written by Eduardo H.M. Pena and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
This study presents the correlational paraconsistent machine (CPM), a tool for anomaly detection that incorporates unsupervised models for traffic characterization and principles of paraconsistency, to inspect irregularities at the network traffic flow level.
Proceeding Of The International Conference On Computer Networks Big Data And Iot Iccbi 2018
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Author : A. Pasumpon Pandian
language : en
Publisher: Springer
Release Date : 2019-07-31
Proceeding Of The International Conference On Computer Networks Big Data And Iot Iccbi 2018 written by A. Pasumpon Pandian and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-31 with Technology & Engineering categories.
This book presents the proceedings of the International Conference on Computer Networks, Big Data and IoT (ICCBI-2018), held on December 19–20, 2018 in Madurai, India. In recent years, advances in information and communication technologies [ICT] have collectively aimed to streamline the evolution of internet applications. In this context, increasing the ubiquity of emerging internet applications with an enhanced capability to communicate in a distributed environment has become a major need for existing networking models and applications. To achieve this, Internet of Things [IoT] models have been developed to facilitate a smart interconnection and information exchange among modern objects – which plays an essential role in every aspect of our lives. Due to their pervasive nature, computer networks and IoT can easily connect and engage effectively with their network users. This vast network continuously generates data from heterogeneous devices, creating a need to utilize big data, which provides new and unprecedented opportunities to process these huge volumes of data. This International Conference on Computer Networks, Big Data, and Internet of Things [ICCBI] brings together state-of-the-art research work, which briefly describes advanced IoT applications in the era of big data. As such, it offers valuable insights for researchers and scientists involved in developing next-generation, big-data-driven IoT applications to address the real-world challenges in building a smartly connected environment.
Secure Automatic Dependent Surveillance Broadcast Systems
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Author : Haomiao Yang
language : en
Publisher: Springer Nature
Release Date : 2022-08-23
Secure Automatic Dependent Surveillance Broadcast Systems written by Haomiao Yang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-23 with Technology & Engineering categories.
This book proposes secure schemes to address security challenges in secure automatic dependent surveillance-broadcast systems (ADS-B) from five different angles. First, the authors examine encryption schemes applied to the ADS-B environment for protecting messages confidentiality. Second, they propose an ADS-B broadcast authentication scheme with batch verification by employing an identity-based signature. Third, they present ADS-B broadcast authentication scheme based on a digital signature with message recovery, which provides a feature that the message is recoverable from the signature. Fourth, they propose a new cryptographic solution to ADS-B security. Finally, they propose an accurate and efficient cognitive aircraft location verification scheme preserving aircraft location privacy by utilizing a grid-based k-nearest neighbor algorithm. In summary, the authors show how ADS-B data links can greatly enhance flight safety by these proposed schemes without sacrificing data security. Proposes several secure schemes to address security challenges in secure automatic dependent surveillance-broadcast systems (ADS-B); Provides extensive experiments and evaluates the proposed schemes using real-world data; Shows how ADS-B data links can greatly enhance safety without sacrificing data security
Proceedings Of 3rd International Conference On Advanced Computing Networking And Informatics
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Author : Atulya Nagar
language : en
Publisher: Springer
Release Date : 2015-09-03
Proceedings Of 3rd International Conference On Advanced Computing Networking And Informatics written by Atulya Nagar and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-09-03 with Technology & Engineering categories.
Advanced Computing, Networking and Informatics are three distinct and mutually exclusive disciplines of knowledge with no apparent sharing/overlap among them. However, their convergence is observed in many real world applications, including cyber-security, internet banking, healthcare, sensor networks, cognitive radio, pervasive computing amidst many others. This two volume proceedings explore the combined use of Advanced Computing and Informatics in the next generation wireless networks and security, signal and image processing, ontology and human-computer interfaces (HCI). The two volumes together include 132 scholarly articles, which have been accepted for presentation from over 550 submissions in the Third International Conference on Advanced Computing, Networking and Informatics, 2015, held in Bhubaneswar, India during June 23–25, 2015.
Introduction To Computer Networks And Cybersecurity
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Author : Chwan-Hwa (John) Wu
language : en
Publisher: CRC Press
Release Date : 2016-04-19
Introduction To Computer Networks And Cybersecurity written by Chwan-Hwa (John) Wu and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-19 with Computers categories.
If a network is not secure, how valuable is it? Introduction to Computer Networks and Cybersecurity takes an integrated approach to networking and cybersecurity, highlighting the interconnections so that you quickly understand the complex design issues in modern networks. This full-color book uses a wealth of examples and illustrations to effective
Computational Intelligence In Security For Information Systems
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Author : Paolo Gastaldo
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-09-29
Computational Intelligence In Security For Information Systems written by Paolo Gastaldo and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-09-29 with Technology & Engineering categories.
The Second International Workshop on Computational Intelligence for Security in Information Systems (CISIS’09) presented the most recent developments in the - namically expanding realm of several fields such as Data Mining and Intelligence, Infrastructure Protection, Network Security, Biometry and Industrial Perspectives. The International Workshop on Computational Intelligence for Security in Infor- tion Systems (CISIS) proposes a forum to the different communities related to the field of intelligent systems for security. The global purpose of CISIS conferences has been to form a broad and interdisciplinary meeting ground offering the opportunity to interact with the leading industries actively involved in the critical area of security, and have a picture of the current solutions adopted in practical domains. This volume of Advances in Intelligent and Soft Computing contains accepted - rd th pers presented at CISIS’09, which was held in Burgos, Spain, on September 23 -26 , 2009. After a through peer-review process, the International Program Committee selected 25 papers which are published in this workshop proceedings. This allowed the Scientific Committee to verify the vital and crucial nature of the topics involved in the event, and resulted in an acceptance rate close to 50% of the originally submitted manuscripts.
Recent Advances On Soft Computing And Data Mining
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Author : Tutut Herawan
language : en
Publisher: Springer
Release Date : 2014-05-29
Recent Advances On Soft Computing And Data Mining written by Tutut Herawan and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-29 with Technology & Engineering categories.
This book constitutes the refereed proceedings of the First International Conference on Soft Computing and Data Mining, SCDM 2014, held in Universiti Tun Hussein Onn Malaysia, in June 16th-18th, 2014. The 65 revised full papers presented in this book were carefully reviewed and selected from 145 submissions, and organized into two main topical sections; Data Mining and Soft Computing. The goal of this book is to provide both theoretical concepts and, especially, practical techniques on these exciting fields of soft computing and data mining, ready to be applied in real-world applications. The exchanges of views pertaining future research directions to be taken in this field and the resultant dissemination of the latest research findings makes this work of immense value to all those having an interest in the topics covered.
Network Optimization In Intelligent Internet Of Things Applications
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Author : Payal Khurana Batra
language : en
Publisher: CRC Press
Release Date : 2024-09-25
Network Optimization In Intelligent Internet Of Things Applications written by Payal Khurana Batra and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-25 with Computers categories.
Network Optimization in Intelligent Internet of Things Applications: Principles and Challenges sheds light on the optimization methods that form the basis of effective communication between networked devices. It is an excellent resource as it provides readers with a thorough understanding of the methods, ideas, and tactics essential to attaining seamless connectivity and improving performance. This book presents the fundamental ideas that govern network optimization, from maximizing throughput and lowering latency to handling a variety of communication protocols and minimizing energy use. It also addresses scalability issues, security flaws, and constantly changing IoT environments along with optimization techniques. This book uses cutting-edge research and real-world examples to give readers the knowledge and skills to address the complex problems associated with network optimization in intelligent IoT applications. It also examines machine learning-driven predictive analytics, robust security protocols, flexible routing algorithms, and the integration of edge computing - all crucial instruments for overcoming obstacles and attaining peak performance. This book provides a comprehensive understanding of the principles, challenges, and cutting-edge solutions in IoT network optimization for all kinds of readers, whether it is students, academicians, researchers, or industry professionals. This book unleashes the potential of networked smart devices, which can be unleashed in various sectors.
Big Data Machine Learning And Applications
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Author : Malaya Dutta Borah
language : en
Publisher: Springer Nature
Release Date : 2023-11-29
Big Data Machine Learning And Applications written by Malaya Dutta Borah and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-29 with Computers categories.
This book constitutes refereed proceedings of the Second International Conference on Big Data, Machine Learning, and Applications, BigDML 2021. The volume focuses on topics such as computing methodology; machine learning; artificial intelligence; information systems; security and privacy. This volume will benefit research scholars, academicians, and industrial people who work on data storage and machine learning.