Network Intrusion Detection Using Deep Learning
DOWNLOAD
Download Network Intrusion Detection Using Deep Learning PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Network Intrusion Detection Using Deep Learning 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
Network Intrusion Detection Using Deep Learning
DOWNLOAD
Author : Kwangjo Kim
language : en
Publisher: Springer
Release Date : 2018-09-25
Network Intrusion Detection Using Deep Learning written by Kwangjo Kim and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-25 with Computers categories.
This book presents recent advances in intrusion detection systems (IDSs) using state-of-the-art deep learning methods. It also provides a systematic overview of classical machine learning and the latest developments in deep learning. In particular, it discusses deep learning applications in IDSs in different classes: generative, discriminative, and adversarial networks. Moreover, it compares various deep learning-based IDSs based on benchmarking datasets. The book also proposes two novel feature learning models: deep feature extraction and selection (D-FES) and fully unsupervised IDS. Further challenges and research directions are presented at the end of the book. Offering a comprehensive overview of deep learning-based IDS, the book is a valuable reerence resource for undergraduate and graduate students, as well as researchers and practitioners interested in deep learning and intrusion detection. Further, the comparison of various deep-learning applications helps readers gain a basic understanding of machine learning, and inspires applications in IDS and other related areas in cybersecurity.
2022 4th International Conference On Smart Systems And Inventive Technology Icssit
DOWNLOAD
Author : IEEE Staff
language : en
Publisher:
Release Date : 2022-01-20
2022 4th International Conference On Smart Systems And Inventive Technology Icssit written by IEEE Staff and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-20 with categories.
The 4th International Conference on Smart Systems and Inventive Technology (ICSSIT 2022) is being organized by Francis Xavier Engineering College, Tirunelveli, India during 20 22, January 2022 ICSSIT 2022 will provide an outstanding international forum for sharing knowledge and results in all fields of science, engineering and Technology ICSSIT provides quality key experts who provide an opportunity in bringing up innovative ideas Recent updates in the field of technology will be a platform for the upcoming researchers The conference will be Complete, Concise, Clear and Cohesive in terms of research related to Smart Systems and Technology
Game Theory And Machine Learning For Cyber Security
DOWNLOAD
Author : Charles A. Kamhoua
language : en
Publisher: John Wiley & Sons
Release Date : 2021-09-15
Game Theory And Machine Learning For Cyber Security written by Charles A. Kamhoua 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 2021-09-15 with Technology & Engineering categories.
GAME THEORY AND MACHINE LEARNING FOR CYBER SECURITY Move beyond the foundations of machine learning and game theory in cyber security to the latest research in this cutting-edge field In Game Theory and Machine Learning for Cyber Security, a team of expert security researchers delivers a collection of central research contributions from both machine learning and game theory applicable to cybersecurity. The distinguished editors have included resources that address open research questions in game theory and machine learning applied to cyber security systems and examine the strengths and limitations of current game theoretic models for cyber security. Readers will explore the vulnerabilities of traditional machine learning algorithms and how they can be mitigated in an adversarial machine learning approach. The book offers a comprehensive suite of solutions to a broad range of technical issues in applying game theory and machine learning to solve cyber security challenges. Beginning with an introduction to foundational concepts in game theory, machine learning, cyber security, and cyber deception, the editors provide readers with resources that discuss the latest in hypergames, behavioral game theory, adversarial machine learning, generative adversarial networks, and multi-agent reinforcement learning. Readers will also enjoy: A thorough introduction to game theory for cyber deception, including scalable algorithms for identifying stealthy attackers in a game theoretic framework, honeypot allocation over attack graphs, and behavioral games for cyber deception An exploration of game theory for cyber security, including actionable game-theoretic adversarial intervention detection against advanced persistent threats Practical discussions of adversarial machine learning for cyber security, including adversarial machine learning in 5G security and machine learning-driven fault injection in cyber-physical systems In-depth examinations of generative models for cyber security Perfect for researchers, students, and experts in the fields of computer science and engineering, Game Theory and Machine Learning for Cyber Security is also an indispensable resource for industry professionals, military personnel, researchers, faculty, and students with an interest in cyber security.
Computer Security
DOWNLOAD
Author : William Stallings
language : en
Publisher: Prentice Hall
Release Date : 2012
Computer Security written by William Stallings and has been published by Prentice Hall this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Computer networks categories.
"The objective of this book is to provide an up-to-date survey of developments in computer security. Central problems that confront security designers and security administrators include defining the threats to computer and network systems, evaluating the relative risks of these threats, and developing cost-effective and user-friendly countermeasures"--
2021 International Conference On Advancements In Electrical Electronics Communication Computing And Automation Icaeca
DOWNLOAD
Author : IEEE Staff
language : en
Publisher:
Release Date : 2021-10-08
2021 International Conference On Advancements In Electrical Electronics Communication Computing And Automation Icaeca written by IEEE Staff and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-08 with categories.
The conference will bring together leading academic scientists, researchers, industrial professionals and scholars in the domain of interest from around the globe These give an opportunity for researchers working in the field of science and technology to exchange recent research and application skills All the papers presented in this conference will be published in IEEE explore and the extended versions of selected papers will be directed to Scopus indexed journals
A Novel Approach To Network Intrusion Detection System Using Deep Learning For Sdn
DOWNLOAD
Author : MHMOOD HADI
language : en
Publisher:
Release Date : 2022
A Novel Approach To Network Intrusion Detection System Using Deep Learning For Sdn written by MHMOOD HADI and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with categories.
Software-Defined Networking (SDN) is the next generation to change the architecture of traditional networks. SDN is one of the promising solutions to change the architecture of internet networks. Attacks become more common due to the centralized nature of SDN architecture. It is vital to provide security for the SDN. In this study, we propose a Network Intrusion Detection System-Deep Learning module (NIDS-DL) approach in the context of SDN. Our suggested method combines Network Intrusion Detection Systems (NIDS) with many types of deep learning algorithms. Our approach employs 12 features extracted from 41 features in the NSL-KDD dataset using a feature selection method. We employed classifiers (CNN, DNN, RNN, LSTM, and GRU). When we compare classifier scores, our technique produced accuracy results of (98.63%, 98.53%, 98.13%, 98.04%, and 97.78%) respectively. The novelty of our new approach (NIDS-DL) uses 5 deep learning classifiers and made pre-processing dataset to harvests the best results. Our proposed approach was successful in binary classification and detecting attacks, implying that our approach (NIDS-DL) might be used with great efficiency in the future.
Applied Soft Computing Techniques
DOWNLOAD
Author : Samarjeet Borah
language : en
Publisher: CRC Press
Release Date : 2025-07-11
Applied Soft Computing Techniques written by Samarjeet Borah and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-11 with Computers categories.
Soft computing techniques have the ability to handle complex, uncertain, and imprecise information to create usable solutions to convoluted problems, or those just too time-consuming to solve with current hardware. This new book details the use and applications of soft computing technology in several fields, exploring the use of these techniques in biomedical applications, communication technologies, data analytics and applications, image processing, and natural language processing. The chapters in the section on biomedical applications explore soft computing techniques for cancer data analysis, depression and mental health analysis, heart disease detection, etc. The editors go on to discuss soft computing in communication systems, looking at graphs, design processes, and mapping techniques, as well as the integration of IoT devices, drone technology, etc. The volume also details how soft computing methodologies can assist in tackling the obstacles associated with signal processing, network optimization, quality of service, and beyond. Several chapters discuss the use of soft computing techniques in data compression, handling of large-scaled heterogenous databases, visualization techniques, etc. Applications of soft computing in image processing are also discussed and cover human face recognition, casualty detection, traffic sign recognition, and predicting soil features using satellite imagery. Soft computing techniques in natural language processing consider text-to-speech signal conversion, NLP and speech recognition, speech emotion recognition, and more. This volume will help to facilitate the amalgamation of theoretical principles and practical applications, bringing forth possible solutions to complex problems in various domains. The book is a welcome resource for researchers, students, professionals, and even for individuals looking for knowledge on soft computing. Applied Soft Computing Techniques: Theoretical Principles and Practical Applications will help to facilitate the amalgamation of theoretical principles and practical applications, bringing forth possible solutions to complex problems in various domains. The book is a welcome resource for researchers, students, professionals, and even for individuals looking for knowledge on soft computing.
Articles In Itjemast 13 7 2022
DOWNLOAD
Author :
language : en
Publisher: International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies
Release Date : 2022-07-01
Articles In Itjemast 13 7 2022 written by and has been published by International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-01 with Technology & Engineering categories.
Published articles from the International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies 2022
Recent Trends In Ai Enabled Technologies
DOWNLOAD
Author : Gangamohan Paidi
language : en
Publisher: Springer Nature
Release Date : 2025-08-15
Recent Trends In Ai Enabled Technologies written by Gangamohan Paidi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-15 with Computers categories.
This book constitutes the refereed proceedings of the Second International Conference on Recent Trends in AI Enabled Technologies, ThinkAI 2024, which took place in Hyderabad, India, during December 27-28, 2024. The 18 full papers in this book were carefully reviewed and selected from 75 submissions. These papers focus on topics of AI enabled technologies, including machine learning, soft computing, and deep learning algorithms.
Applied Soft Computing And Communication Networks
DOWNLOAD
Author : Sabu M. Thampi
language : en
Publisher: Springer Nature
Release Date : 2021-07-01
Applied Soft Computing And Communication Networks written by Sabu M. Thampi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-01 with Technology & Engineering categories.
This book constitutes thoroughly refereed post-conference proceedings of the International Applied Soft Computing and Communication Networks (ACN 2020) held in VIT, Chennai, India, during October 14–17, 2020. The research papers presented were carefully reviewed and selected from several initial submissions. The book is directed to the researchers and scientists engaged in various fields of intelligent systems.