Data Mining Intrusion Detection Information Assurance And Data Networks Security
DOWNLOAD
Download Data Mining Intrusion Detection Information Assurance And Data Networks Security PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Data Mining Intrusion Detection Information Assurance And Data Networks Security book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Data Mining Intrusion Detection Information Assurance And Data Networks Security
DOWNLOAD
Author :
language : en
Publisher:
Release Date : 2007
Data Mining Intrusion Detection Information Assurance And Data Networks Security written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Data mining categories.
Data Mining Intrusion Detection Information Assurance And Data Networks Security
DOWNLOAD
Author :
language : en
Publisher:
Release Date : 2006
Data Mining Intrusion Detection Information Assurance And Data Networks Security 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 Data mining categories.
Advances In Network Security And Applications
DOWNLOAD
Author : David C. Wyld
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-06-30
Advances In Network Security And Applications written by David C. Wyld 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 2011-06-30 with Computers categories.
This book constitutes the proceedings of the 4th International Conference on Network Security and Applications held in Chennai, India, in July 2011. The 63 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers address all technical and practical aspects of security and its applications for wired and wireless networks and are organized in topical sections on network security and applications, ad hoc, sensor and ubiquitous computing, as well as peer-to-peer networks and trust management.
Artificial Intelligence And Data Mining Approaches In Security Frameworks
DOWNLOAD
Author : Neeraj Bhargava
language : en
Publisher: John Wiley & Sons
Release Date : 2021-08-11
Artificial Intelligence And Data Mining Approaches In Security Frameworks written by Neeraj Bhargava and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-11 with Technology & Engineering categories.
ARTIFICIAL INTELLIGENCE AND DATA MINING IN SECURITY FRAMEWORKS Written and edited by a team of experts in the field, this outstanding new volume offers solutions to the problems of security, outlining the concepts behind allowing computers to learn from experience and understand the world in terms of a hierarchy of concepts, with each concept defined through its relation to simpler concepts. Artificial intelligence (AI) and data mining is the fastest growing field in computer science. AI and data mining algorithms and techniques are found to be useful in different areas like pattern recognition, automatic threat detection, automatic problem solving, visual recognition, fraud detection, detecting developmental delay in children, and many other applications. However, applying AI and data mining techniques or algorithms successfully in these areas needs a concerted effort, fostering integrative research between experts ranging from diverse disciplines from data science to artificial intelligence. Successful application of security frameworks to enable meaningful, cost effective, personalized security service is a primary aim of engineers and researchers today. However realizing this goal requires effective understanding, application and amalgamation of AI and data mining and several other computing technologies to deploy such a system in an effective manner. This book provides state of the art approaches of artificial intelligence and data mining in these areas. It includes areas of detection, prediction, as well as future framework identification, development, building service systems and analytical aspects. In all these topics, applications of AI and data mining, such as artificial neural networks, fuzzy logic, genetic algorithm and hybrid mechanisms, are explained and explored. This book is aimed at the modeling and performance prediction of efficient security framework systems, bringing to light a new dimension in the theory and practice. This groundbreaking new volume presents these topics and trends, bridging the research gap on AI and data mining to enable wide-scale implementation. Whether for the veteran engineer or the student, this is a must-have for any library. This groundbreaking new volume: Clarifies the understanding of certain key mechanisms of technology helpful in the use of artificial intelligence and data mining in security frameworks Covers practical approaches to the problems engineers face in working in this field, focusing on the applications used every day Contains numerous examples, offering critical solutions to engineers and scientists Presents these new applications of AI and data mining that are of prime importance to human civilization as a whole
Networks Attack Detection On 5g Networks Using Data Mining Techniques
DOWNLOAD
Author : Sagar Dhanraj Pande
language : en
Publisher: CRC Press
Release Date : 2024-04-23
Networks Attack Detection On 5g Networks Using Data Mining Techniques written by Sagar Dhanraj Pande and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-23 with Technology & Engineering categories.
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. This book: Covers emerging technologies of network attacks and management aspects Presents artificial intelligence techniques for networks and resource optimization, and toward network automation, and security Showcases recent industrial and technological aspects of next-generation networks Illustrates artificial intelligence techniques to mitigate cyber-attacks, authentication, and authorization challenges Explains smart, and real-time monitoring services, multimedia, cloud computing, and information processing methodologies in 5G networks It is primarily for senior undergraduates, graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, and information technology
Information Assurance In Computer Networks Methods Models And Architectures For Network Security
DOWNLOAD
Author : Vladimir I. Gorodetski
language : en
Publisher: Springer
Release Date : 2003-06-29
Information Assurance In Computer Networks Methods Models And Architectures For Network Security written by Vladimir I. Gorodetski and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-06-29 with Computers categories.
This book presents the refereed proceedings of the International Workshop on Mathematical Methods, Models, and Architectures for Network Security Systems, MMM-ACNS 2001, held in St. Petersburg in May 2001. The 24 revised full papers presented together with five invited contributions were carefully reviewed and selected from 36 submissions. The papers are organized in topical sections on network security systems: foundations, models and architectures; intrusion detection: foundations and models; access control, authentication, and authorization; and cryptography and steganography: mathematical basis, protocols, and applied methods.
Intrusion Detection Systems
DOWNLOAD
Author : Pawel Skrobanek
language : en
Publisher: BoD – Books on Demand
Release Date : 2011-03-22
Intrusion Detection Systems written by Pawel Skrobanek and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-03-22 with Computers categories.
The current structure of the chapters reflects the key aspects discussed in the papers but the papers themselves contain more additional interesting information: examples of a practical application and results obtained for existing networks as well as results of experiments confirming efficacy of a synergistic analysis of anomaly detection and signature detection, and application of interesting solutions, such as an analysis of the anomalies of user behaviors and many others.
Ai Machine Learning And Deep Learning
DOWNLOAD
Author : Fei Hu
language : en
Publisher: CRC Press
Release Date : 2023-06-05
Ai Machine Learning And Deep Learning written by Fei Hu and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-05 with Computers categories.
Today, Artificial Intelligence (AI) and Machine Learning/ Deep Learning (ML/DL) have become the hottest areas in information technology. In our society, many intelligent devices rely on AI/ML/DL algorithms/tools for smart operations. Although AI/ML/DL algorithms and tools have been used in many internet applications and electronic devices, they are also vulnerable to various attacks and threats. AI parameters may be distorted by the internal attacker; the DL input samples may be polluted by adversaries; the ML model may be misled by changing the classification boundary, among many other attacks and threats. Such attacks can make AI products dangerous to use. While this discussion focuses on security issues in AI/ML/DL-based systems (i.e., securing the intelligent systems themselves), AI/ML/DL models and algorithms can actually also be used for cyber security (i.e., the use of AI to achieve security). Since AI/ML/DL security is a newly emergent field, many researchers and industry professionals cannot yet obtain a detailed, comprehensive understanding of this area. This book aims to provide a complete picture of the challenges and solutions to related security issues in various applications. It explains how different attacks can occur in advanced AI tools and the challenges of overcoming those attacks. Then, the book describes many sets of promising solutions to achieve AI security and privacy. The features of this book have seven aspects: This is the first book to explain various practical attacks and countermeasures to AI systems Both quantitative math models and practical security implementations are provided It covers both "securing the AI system itself" and "using AI to achieve security" It covers all the advanced AI attacks and threats with detailed attack models It provides multiple solution spaces to the security and privacy issues in AI tools The differences among ML and DL security and privacy issues are explained Many practical security applications are covered
Rough Sets And Knowledge Technology
DOWNLOAD
Author : Guoyin Wang
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-07-06
Rough Sets And Knowledge Technology written by Guoyin Wang 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 2006-07-06 with Computers categories.
This book constitutes the refereed proceedings of the First International Conference on Rough Sets and Knowledge Technology, RSKT 2006, held in Chongqing, China in July 2006. The volume presents 43 revised full papers and 58 revised short papers, together with 15 commemorative and invited papers. Topics include rough computing, evolutionary computing, fuzzy sets, granular computing, neural computing, machine learning and KDD, logics and reasoning, multiagent systems and Web intelligence, and more.
Surveillance Technologies And Early Warning Systems Data Mining Applications For Risk Detection
DOWNLOAD
Author : Koyuncugil, Ali Serhan
language : en
Publisher: IGI Global
Release Date : 2010-09-30
Surveillance Technologies And Early Warning Systems Data Mining Applications For Risk Detection written by Koyuncugil, Ali Serhan and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-09-30 with Computers categories.
Surveillance Technologies and Early Warning Systems: Data Mining Applications for Risk Detection has never been more important, as the research this book presents an alternative to conventional surveillance and risk assessment. This book is a multidisciplinary excursion comprised of data mining, early warning systems, information technologies and risk management and explores the intersection of these components in problematic domains. It offers the ability to apply the most modern techniques to age old problems allowing for increased effectiveness in the response to future, eminent, and present risk.