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Data Mining And Information Security


Data Mining And Information Security
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Emerging Technologies In Data Mining And Information Security


Emerging Technologies In Data Mining And Information Security
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Author : Paramartha Dutta
language : en
Publisher: Springer Nature
Release Date : 2022-09-28

Emerging Technologies In Data Mining And Information Security written by Paramartha Dutta and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-28 with Technology & Engineering categories.


This book features research papers presented at the International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2022) held at Institute of Engineering & Management, Kolkata, India, during February 23–25, 2022. The book is organized in three volumes and includes high-quality research work by academicians and industrial experts in the field of computing and communication, including full-length papers, research-in-progress papers and case studies related to all the areas of data mining, machine learning, Internet of Things (IoT) and information security.



Data Mining And Information Security


Data Mining And Information Security
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Author : Soumi Dutta
language : en
Publisher: Springer Nature
Release Date : 2025-08-18

Data Mining And Information Security written by Soumi Dutta and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-18 with Computers categories.


This book features research papers presented at the International Conference on Data Mining and Information Security (ICDMIS 2024) held at Eminent College of Management and Technology (ECMT), West Bengal, India, during October 7–8, 2024. The book is organized in five volumes and includes high-quality research work by academicians and industrial experts in the field of computing and communication, including full-length papers, research-in-progress papers and case studies related to all the areas of data mining, machine learning, Internet of Things (IoT) and information security.



Data Warehousing And Data Mining Techniques For Cyber Security


Data Warehousing And Data Mining Techniques For Cyber Security
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Author : Anoop Singhal
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-04-06

Data Warehousing And Data Mining Techniques For Cyber Security written by Anoop Singhal 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 2007-04-06 with Computers categories.


Data warehousing and data mining provide techniques for collecting information from distributed databases and for performing data analysis. The ever expanding, tremendous amount of data collected and stored in large databases has far exceeded our human ability to comprehend--without the proper tools. There is a critical need for data analysis that can automatically analyze data, summarize it and predict future trends. In the modern age of Internet connectivity, concerns about denial of service attacks, computer viruses and worms are extremely important. Data Warehousing and Data Mining Techniques for Cyber Security contributes to the discipline of security informatics. The author discusses topics that intersect cyber security and data mining, while providing techniques for improving cyber security. Since the cost of information processing and internet accessibility is dropping, an increasing number of organizations are becoming vulnerable to cyber attacks. This volume introduces techniques for applications in the area of retail, finance, and bioinformatics, to name a few. Data Warehousing and Data Mining Techniques for Cyber Security is designed for practitioners and researchers in industry. This book is also suitable for upper-undergraduate and graduate-level students in computer science.



Applications Of Data Mining In Computer Security


Applications Of Data Mining In Computer Security
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Author : Daniel Barbará
language : en
Publisher: Springer Science & Business Media
Release Date : 2002-05-31

Applications Of Data Mining In Computer Security written by Daniel Barbará 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 2002-05-31 with Business & Economics categories.


Data mining is becoming a pervasive technology in activities as diverse as using historical data to predict the success of a marketing campaign, looking for patterns in financial transactions to discover illegal activities or analyzing genome sequences. From this perspective, it was just a matter of time for the discipline to reach the important area of computer security. Applications Of Data Mining In Computer Security presents a collection of research efforts on the use of data mining in computer security. Data mining has been loosely defined as the process of extracting information from large amounts of data. In the context of security, the information we are seeking is the knowledge of whether a security breach has been experienced, and if the answer is yes, who is the perpetrator. This information could be collected in the context of discovering intrusions that aim to breach the privacy of services, data in a computer system or alternatively, in the context of discovering evidence left in a computer system as part of criminal activity. Applications Of Data Mining In Computer Security concentrates heavily on the use of data mining in the area of intrusion detection. The reason for this is twofold. First, the volume of data dealing with both network and host activity is so large that it makes it an ideal candidate for using data mining techniques. Second, intrusion detection is an extremely critical activity. This book also addresses the application of data mining to computer forensics. This is a crucial area that seeks to address the needs of law enforcement in analyzing the digital evidence. Applications Of Data Mining In Computer Security is designed to meet the needs of a professional audience composed of researchers and practitioners in industry and graduate level students in computer science.



Machine Learning And Data Mining For Computer Security


Machine Learning And Data Mining For Computer Security
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Author : Marcus A. Maloof
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-02-27

Machine Learning And Data Mining For Computer Security written by Marcus A. Maloof 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 2006-02-27 with Computers categories.


"Machine Learning and Data Mining for Computer Security" provides an overview of the current state of research in machine learning and data mining as it applies to problems in computer security. This book has a strong focus on information processing and combines and extends results from computer security. The first part of the book surveys the data sources, the learning and mining methods, evaluation methodologies, and past work relevant for computer security. The second part of the book consists of articles written by the top researchers working in this area. These articles deals with topics of host-based intrusion detection through the analysis of audit trails, of command sequences and of system calls as well as network intrusion detection through the analysis of TCP packets and the detection of malicious executables. This book fills the great need for a book that collects and frames work on developing and applying methods from machine learning and data mining to problems in computer security.



Data Mining And Information Security


Data Mining And Information Security
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Author : Soumi Dutta
language : en
Publisher: Springer
Release Date : 2025-08-02

Data Mining And Information Security written by Soumi Dutta and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-02 with Computers categories.


This book features research papers presented at the International Conference on Data Mining and Information Security (ICDMIS 2024) held at Eminent College of Management and Technology (ECMT), West Bengal, India, during October 7–8, 2024. The book is organized in five volumes and includes high-quality research work by academicians and industrial experts in the field of computing and communication, including full-length papers, research-in-progress papers and case studies related to all the areas of data mining, machine learning, Internet of Things (IoT) and information security.



Data Mining And Machine Learning In Cybersecurity


Data Mining And Machine Learning In Cybersecurity
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Author : Sumeet Dua
language : en
Publisher: CRC Press
Release Date : 2016-04-19

Data Mining And Machine Learning In Cybersecurity written by Sumeet Dua 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.


With the rapid advancement of information discovery techniques, machine learning and data mining continue to play a significant role in cybersecurity. Although several conferences, workshops, and journals focus on the fragmented research topics in this area, there has been no single interdisciplinary resource on past and current works and possible



Emerging Technologies In Data Mining And Information Security


Emerging Technologies In Data Mining And Information Security
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Author : Aboul Ella Hassanien
language : en
Publisher: Springer Nature
Release Date : 2021-06-28

Emerging Technologies In Data Mining And Information Security written by Aboul Ella Hassanien and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-28 with Technology & Engineering categories.


This book features research papers presented at the International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2020) held at the University of Engineering & Management, Kolkata, India, during July 2020. The book is organized in three volumes and includes high-quality research work by academicians and industrial experts in the field of computing and communication, including full-length papers, research-in-progress papers and case studies related to all the areas of data mining, machine learning, Internet of things (IoT) and information security.



Emerging Technologies In Data Mining And Information Security


Emerging Technologies In Data Mining And Information Security
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Author : Paramartha Dutta
language : en
Publisher: Springer Nature
Release Date : 2022-09-15

Emerging Technologies In Data Mining And Information Security written by Paramartha Dutta and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-15 with Technology & Engineering categories.


This book features research papers presented at the International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2022) held at Institute of Engineering & Management, Kolkata, India, during 23–25 February 2022. The book is organized in three volumes and includes high-quality research work by academicians and industrial experts in the field of computing and communication, including full-length papers, research-in-progress papers, and case studies related to all the areas of data mining, machine learning, Internet of Things (IoT) and information security.



Artificial Intelligence And Data Mining Approaches In Security Frameworks


Artificial Intelligence And Data Mining Approaches In Security Frameworks
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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