Emerging Technologies In Data Mining And Information Security
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| Author | : Paramartha Dutta |
| Publisher | : Springer Nature |
| Total Pages | : 752 |
| Release | : 2022-09-28 |
| Genre | : Technology & Engineering |
| ISBN | : 9811941939 |
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.
| Author | : João Manuel R. S. Tavares |
| Publisher | : Springer Nature |
| Total Pages | : 994 |
| Release | : 2021-05-04 |
| Genre | : Technology & Engineering |
| ISBN | : 981159774X |
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.
| Author | : Ajith Abraham |
| Publisher | : Springer |
| Total Pages | : 872 |
| Release | : 2018-09-01 |
| Genre | : Technology & Engineering |
| ISBN | : 9811315019 |
The book features research papers presented at the International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2018) held at the University of Engineering & Management, Kolkata, India, on February 23–25, 2018. It comprises high-quality research by academics and industrial experts in the field of computing and communication, including full-length papers, research-in-progress papers, case studies related to all the areas of data mining, machine learning, IoT and information security.
| Author | : Aboul Ella Hassanien |
| Publisher | : Springer Nature |
| Total Pages | : 922 |
| Release | : 2021-05-04 |
| Genre | : Technology & Engineering |
| ISBN | : 9813343672 |
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.
| Author | : Ajith Abraham |
| Publisher | : Springer |
| Total Pages | : 848 |
| Release | : 2018-12-12 |
| Genre | : Technology & Engineering |
| ISBN | : 9811319510 |
This book features research papers presented at the International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2018) held at the University of Engineering & Management, Kolkata, India, on February 23–25, 2018. It comprises 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.
| Author | : Aboul Ella Hassanien |
| Publisher | : Springer Nature |
| Total Pages | : 1014 |
| Release | : 2021-06-28 |
| Genre | : Technology & Engineering |
| ISBN | : 9811599270 |
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.
| Author | : Sumeet Dua |
| Publisher | : CRC Press |
| Total Pages | : 256 |
| Release | : 2016-04-19 |
| Genre | : Computers |
| ISBN | : 1439839433 |
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
| Author | : Haruna Chiroma |
| Publisher | : Springer Nature |
| Total Pages | : 316 |
| Release | : 2021-04-01 |
| Genre | : Technology & Engineering |
| ISBN | : 3030662888 |
This book addresses theories and empirical procedures for the application of machine learning and data mining to solve problems in cyber dynamics. It explains the fundamentals of cyber dynamics, and presents how these resilient algorithms, strategies, techniques can be used for the development of the cyberspace environment such as: cloud computing services; cyber security; data analytics; and, disruptive technologies like blockchain. The book presents new machine learning and data mining approaches in solving problems in cyber dynamics. Basic concepts, related work reviews, illustrations, empirical results and tables are integrated in each chapter to enable the reader to fully understand the concepts, methodology, and the results presented. The book contains empirical solutions of problems in cyber dynamics ready for industrial applications. The book will be an excellent starting point for postgraduate students and researchers because each chapter is design to have future research directions.
| Author | : Marcus A. Maloof |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 218 |
| Release | : 2006-02-27 |
| Genre | : Computers |
| ISBN | : 1846282535 |
"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.
| Author | : Ajith Abraham |
| Publisher | : |
| Total Pages | : |
| Release | : 2019 |
| Genre | : COMPUTERS |
| ISBN | : 9789811314995 |
The book features research papers presented at the International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2018) held at the University of Engineering & Management, Kolkata, India, on February 23-25, 2018. It comprises high-quality research by academics and industrial experts in the field of computing and communication, including full-length papers, research-in-progress papers, case studies related to all the areas of data mining, machine learning, IoT and information security.
