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Network Intrusion Detection using Deep Learning, Kwangjo Kim; Muhamad Erza Aminanto; Harry Chandra


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Автор: Kwangjo Kim; Muhamad Erza Aminanto; Harry Chandra
Название:  Network Intrusion Detection using Deep Learning
ISBN: 9789811314438
Издательство: Springer
Классификация:






ISBN-10: 9811314438
Обложка/Формат: Soft cover
Страницы: 79
Вес: 0.17 кг.
Дата издания: 2018
Серия: SpringerBriefs on Cyber Security Systems and Networks
Язык: English
Издание: 1st ed. 2018
Иллюстрации: 12 tables, color; 11 illustrations, color; 19 illustrations, black and white; xvii, 79 p. 30 illus., 11 illus. in color.
Размер: 156 x 234 x 11
Читательская аудитория: General (us: trade)
Основная тема: Computer Science
Подзаголовок: A Feature Learning Approach
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: 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.
Дополнительное описание: Chapter 1 Introduction.- Chapter 2 Intrusion Detection Systems.- Chapter 3 Classical Machine Learning and Its Applications to IDS.- Chapter 4 Deep Learning.- Chapter 5 Deep Learning-based IDSs.- Chapter 6 Deep Feature Learning.- Chapter 7 Summary and Furt



Using Robots in Hazardous Environments: Landmine Detection, de-Mining and Other Applications

Автор: Baudoin Y., Habib Maki K.
Название: Using Robots in Hazardous Environments: Landmine Detection, de-Mining and Other Applications
ISBN: 0081015038 ISBN-13(EAN): 9780081015032
Издательство: Elsevier Science
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Цена: 35371.00 р.
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Описание: There have been major recent advances in robotic systems that can replace humans in undertaking hazardous activities in demanding or dangerous environments. Published in association with the CLAWAR (Climbing and Walking Robots and Associated Technologies Association) (www.clawar.org), this important book reviews the development of robotic systems for de-mining and other risky activities such as fire-fighting.Part one provides an overview of the use of robots for humanitarian de-mining work. Part two discusses the development of sensors for mine detection whilst Part thee reviews developments in both teleoperated and autonomous robots. Building on the latter, Part four concentrates on robot autonomous navigation. The final part of the book reviews research on multi-agent-systems (MAS) and the multi-robotics-systems (MRS), promising tools that take into account modular design of mobile robots and the use of several robots in multi-task missions.With its distinguished editors and international team of contributors, Using robots in hazardous environments: landmine detection, de-mining and other applications is a standard reference for all those researching the use of robots in hazardous environments as well as government and other agencies wishing to use robots for dangerous tasks such as landmine detection and disposal.

Intrusion Detection

Автор: Nandita Sengupta, Jaya Sil
Название: Intrusion Detection
ISBN: 9811527156 ISBN-13(EAN): 9789811527159
Издательство: Springer
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Цена: 20962.00 р.
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Описание: This book presents state-of-the-art research on intrusion detection using reinforcement learning, fuzzy and rough set theories, and genetic algorithm.

Mobile Hybrid Intrusion Detection

Автор: ?lvaro Herrero; Emilio Corchado
Название: Mobile Hybrid Intrusion Detection
ISBN: 3642423418 ISBN-13(EAN): 9783642423413
Издательство: Springer
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Цена: 18167.00 р.
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Описание: It has led to the design of MOVICAB-IDS (MObile VIsualisation Connectionist Agent-Based IDS), a novel Intrusion Detection System (IDS), which is comprehensively described in this book.This novel IDS combines different AI paradigms to visualise network traffic for ID at packet level.

Intrusion Detection in Wireless Ad-Hoc Networks

Автор: Rituparna Chaki Nabendu Chaki &
Название: Intrusion Detection in Wireless Ad-Hoc Networks
ISBN: 1466515651 ISBN-13(EAN): 9781466515659
Издательство: Taylor&Francis
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Цена: 15004.00 р.
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Описание:

Presenting cutting-edge research, Intrusion Detection in Wireless Ad-Hoc Networks explores the security aspects of the basic categories of wireless ad-hoc networks and related application areas. Focusing on intrusion detection systems (IDSs), it explains how to establish security solutions for the range of wireless networks, including mobile ad-hoc networks, hybrid wireless networks, and sensor networks.

This edited volume reviews and analyzes state-of-the-art IDSs for various wireless ad-hoc networks. It includes case studies on honesty-based intrusion detection systems, cluster oriented-based intrusion detection systems, and trust-based intrusion detection systems.

  • Addresses architecture and organization issues
  • Examines the different types of routing attacks for WANs
  • Explains how to ensure Quality of Service in secure routing
  • Considers honesty and trust-based IDS solutions
  • Explores emerging trends in WAN security
  • Describes the blackhole attack detection technique

Surveying existing trust-based solutions, the book explores the potential of the CORIDS algorithm to provide trust-based solutions for secure mobile applications. Touching on more advanced topics, including security for smart power grids, securing cloud services, and energy-efficient IDSs, this book provides you with the tools to design and build secure next-generation wireless networking environments.

Men`s Intrusion, Women`s Embodiment: A Critical Analysis of Street Harassment

Автор: Vera Gray Fiona
Название: Men`s Intrusion, Women`s Embodiment: A Critical Analysis of Street Harassment
ISBN: 1138951595 ISBN-13(EAN): 9781138951594
Издательство: Taylor&Francis
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Цена: 23734.00 р.
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Описание: Based on original empirical research, this book is the first of its kind to conduct a feminist phenomenological analysis of the experience for women of men`s stranger intrusions in public spaces. It suggests that intrusion from unknown men is a fundamental factor in how women understand and enact their embodied selfhood.

Men`s intrusion, women`s embodiment

Автор: Vera-gray, Fiona (child And Women Abuse Studies Unit, London Metropolitan University, Uk)
Название: Men`s intrusion, women`s embodiment
ISBN: 1138360325 ISBN-13(EAN): 9781138360327
Издательство: Taylor&Francis
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Цена: 5817.00 р.
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Описание: Based on original empirical research, this book is the first of its kind to conduct a feminist phenomenological analysis of the experience for women of men`s stranger intrusions in public spaces. It suggests that intrusion from unknown men is a fundamental factor in how women understand and enact their embodied selfhood.

Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques: A Guide to Data Science for Fraud Detection

Автор: Baesens Bart, Verbeke Wouter, Van Vlasselaer Veron
Название: Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques: A Guide to Data Science for Fraud Detection
ISBN: 1119133122 ISBN-13(EAN): 9781119133124
Издательство: Wiley
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Цена: 6178.00 р.
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Описание: Detect fraud earlier to mitigate loss and prevent cascading damage Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques is an authoritative guidebook for setting up a comprehensive fraud detection analytics solution.

Real time deforestation detection using ANN and Satellite images

Автор: Thiago Nunes Kehl; Viviane Todt; Maur?cio Roberto
Название: Real time deforestation detection using ANN and Satellite images
ISBN: 331915740X ISBN-13(EAN): 9783319157405
Издательство: Springer
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Цена: 7836.00 р.
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Описание: The foremost aim of the present study was the development of a tool to detect daily deforestation in the Amazon rainforest, using satellite images from the MODIS/TERRA sensor and Artificial Neural Networks.


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