Intrusion

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Intrusion

Author : Ken MacLeod
Publisher : Hachette UK
Page : 223 pages
File Size : 52,8 Mb
Release : 2012-03-01
Category : Fiction
ISBN : 9780748128778

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Intrusion by Ken MacLeod Pdf

'Insightful and ingenious . . . Intrusion is both horrific and comic, and deals movingly with the consequences of genetic fixes' - GUARDIAN 'Intrusion is a finely-tuned, in-your-face argument of a novel . . . MacLeod will push your buttons - and make you think' - SFX Imagine a near-future city, say London, where medical science has advanced beyond our own and a single-dose pill has been developed that, taken when pregnant, eradicates many common genetic defects from an unborn child. Hope Morrison, mother of a hyperactive four-year-old, is expecting her second child. She refuses to take The Fix, as the pill is known. This divides her family and friends and puts her and her husband in danger of imprisonment or worse. Is her decision a private matter of individual choice, or is it tantamount to willful neglect of her unborn child? A plausible and original novel with sinister echoes of 1984 and Brave New World. Books by Ken MacLeod: Fall Revolution The Star Fraction The Stone Canal The Cassini Division The Sky Road Engines of Light Cosmonaut Keep Dark Light Engine City Corporation Wars Trilogy Dissidence Insurgence Emergence Novels The Human Front Newton's Wake Learning the World The Execution Channel The Restoration Game Intrusion Descent

Groundwater and saline intrusion

Author : Marisol Manzano
Publisher : IGME
Page : 770 pages
File Size : 49,9 Mb
Release : 2004
Category : Aquifers
ISBN : 8478405887

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Groundwater and saline intrusion by Marisol Manzano Pdf

Salt Water Intrusion

Author : Samuel F. Atkinson
Publisher : CRC Press
Page : 408 pages
File Size : 52,6 Mb
Release : 2018-01-18
Category : Science
ISBN : 9781351084987

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Salt Water Intrusion by Samuel F. Atkinson Pdf

This book provides a summary of the status and potential for salt water intrusion into ground water in the contiguous united states. While the focus is on resultant limitation in the agricultural usage of ground water, the book is not limited to this singular limitation in resource usage.

Evaluation of Intrusion Detection Systems

Author : Anonim
Publisher : DIANE Publishing
Page : 22 pages
File Size : 50,5 Mb
Release : 2024-06-30
Category : Electronic
ISBN : 1422318028

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Evaluation of Intrusion Detection Systems by Anonim Pdf

Mobile Hybrid Intrusion Detection

Author : Álvaro Herrero
Publisher : Springer Science & Business Media
Page : 151 pages
File Size : 52,7 Mb
Release : 2011-01-19
Category : Computers
ISBN : 9783642182983

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Mobile Hybrid Intrusion Detection by Álvaro Herrero Pdf

This monograph comprises work on network-based Intrusion Detection (ID) that is grounded in visualisation and hybrid Artificial Intelligence (AI). 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. It is based on a dynamic Multiagent System (MAS), which integrates an unsupervised neural projection model and the Case-Based Reasoning (CBR) paradigm through the use of deliberative agents that are capable of learning and evolving with the environment. The proposed novel hybrid IDS provides security personnel with a synthetic, intuitive snapshot of network traffic and protocol interactions. This visualisation interface supports the straightforward detection of anomalous situations and their subsequent identification. The performance of MOVICAB-IDS was tested through a novel mutation-based testing method in different real domains which entailed several attacks and anomalous situations.

Intrusion Detection Networks

Author : Carol Fung,Raouf Boutaba
Publisher : CRC Press
Page : 261 pages
File Size : 46,5 Mb
Release : 2013-11-19
Category : Computers
ISBN : 9781466564138

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Intrusion Detection Networks by Carol Fung,Raouf Boutaba Pdf

The rapidly increasing sophistication of cyber intrusions makes them nearly impossible to detect without the use of a collaborative intrusion detection network (IDN). Using overlay networks that allow an intrusion detection system (IDS) to exchange information, IDNs can dramatically improve your overall intrusion detection accuracy.Intrusion Detect

Statistical Techniques for Network Security: Modern Statistically-Based Intrusion Detection and Protection

Author : Wang, Yun
Publisher : IGI Global
Page : 476 pages
File Size : 53,5 Mb
Release : 2008-10-31
Category : Computers
ISBN : 9781599047102

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Statistical Techniques for Network Security: Modern Statistically-Based Intrusion Detection and Protection by Wang, Yun Pdf

Provides statistical modeling and simulating approaches to address the needs for intrusion detection and protection. Covers topics such as network traffic data, anomaly intrusion detection, and prediction events.

Network Intrusion Detection and Prevention

Author : Ali A. Ghorbani,Wei Lu,Mahbod Tavallaee
Publisher : Springer Science & Business Media
Page : 224 pages
File Size : 49,7 Mb
Release : 2009-10-10
Category : Computers
ISBN : 9780387887715

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Network Intrusion Detection and Prevention by Ali A. Ghorbani,Wei Lu,Mahbod Tavallaee Pdf

Network Intrusion Detection and Prevention: Concepts and Techniques provides detailed and concise information on different types of attacks, theoretical foundation of attack detection approaches, implementation, data collection, evaluation, and intrusion response. Additionally, it provides an overview of some of the commercially/publicly available intrusion detection and response systems. On the topic of intrusion detection system it is impossible to include everything there is to say on all subjects. However, we have tried to cover the most important and common ones. Network Intrusion Detection and Prevention: Concepts and Techniques is designed for researchers and practitioners in industry. This book is suitable for advanced-level students in computer science as a reference book as well.

Artificial Intelligence for Intrusion Detection Systems

Author : Mayank Swarnkar,Shyam Singh Rajput
Publisher : CRC Press
Page : 218 pages
File Size : 41,5 Mb
Release : 2023-10-16
Category : Computers
ISBN : 9781000967555

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Artificial Intelligence for Intrusion Detection Systems by Mayank Swarnkar,Shyam Singh Rajput Pdf

This book is associated with the cybersecurity issues and provides a wide view of the novel cyber attacks and the defense mechanisms, especially AI-based Intrusion Detection Systems (IDS). Features: A systematic overview of the state-of-the-art IDS Proper explanation of novel cyber attacks which are much different from classical cyber attacks Proper and in-depth discussion of AI in the field of cybersecurity Introduction to design and architecture of novel AI-based IDS with a trans- parent view of real-time implementations Covers a wide variety of AI-based cyber defense mechanisms, especially in the field of network-based attacks, IoT-based attacks, multimedia attacks, and blockchain attacks. This book serves as a reference book for scientific investigators who need to analyze IDS, as well as researchers developing methodologies in this field. It may also be used as a textbook for a graduate-level course on information security.

Intrusion Detection and Correlation

Author : Christopher Kruegel,Fredrik Valeur,Giovanni Vigna
Publisher : Springer Science & Business Media
Page : 124 pages
File Size : 53,8 Mb
Release : 2005-12-29
Category : Computers
ISBN : 9780387233994

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Intrusion Detection and Correlation by Christopher Kruegel,Fredrik Valeur,Giovanni Vigna Pdf

Details how intrusion detection works in network security with comparisons to traditional methods such as firewalls and cryptography Analyzes the challenges in interpreting and correlating Intrusion Detection alerts

Recent Advances in Intrusion Detection

Author : Giovanni Vigna,Erland Jonsson,Christopher Kruegel
Publisher : Springer Science & Business Media
Page : 248 pages
File Size : 41,7 Mb
Release : 2003-09-02
Category : Business & Economics
ISBN : 9783540408789

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Recent Advances in Intrusion Detection by Giovanni Vigna,Erland Jonsson,Christopher Kruegel Pdf

This book constitutes the refereed proceedings of the 6th International Symposium on Recent Advances in Intrusion Detection, RAID 2003, held in Pittsburgh, PA, USA in September 2003. The 13 revised full papers presented were carefully reviewed and selected from 44 submissions. The papers are organized in topical sections on network infrastructure, anomaly detection, modeling and specification, and IDS sensors.

The Kiglapait Layered Intrusion, Labrador

Author : Stearns Anthony Morse
Publisher : Geological Society of America
Page : 226 pages
File Size : 50,9 Mb
Release : 1969
Category : Intrusions (Geology)
ISBN : 9780813711126

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The Kiglapait Layered Intrusion, Labrador by Stearns Anthony Morse Pdf

Snort Intrusion Detection 2.0

Author : Syngress
Publisher : Elsevier
Page : 559 pages
File Size : 49,6 Mb
Release : 2003-05-11
Category : Computers
ISBN : 9780080481005

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Snort Intrusion Detection 2.0 by Syngress Pdf

The incredible low maintenance costs of Snort combined with its powerful security features make it one of the fastest growing IDSs within corporate IT departments. Snort 2.0 Intrusion Detection is written by a member of Snort.org. The book provides a valuable insight to the code base of Snort and in-depth tutorials of complex installation, configuration, and troubleshooting scenarios. The primary reader will be an individual who has a working knowledge of the TCP/IP protocol, expertise in some arena of IT infrastructure, and is inquisitive about what has been attacking their IT network perimeter every 15 seconds. The most up-to-date and comprehensive coverage for Snort 2.0! Expert Advice from the Development Team and Step-by-Step Instructions for Installing, Configuring, and Troubleshooting the Snort 2.0 Intrusion Detection System.

Intrusion Prevention and Active Response

Author : Michael Rash,Angela Orebaugh,Graham Clark
Publisher : Elsevier
Page : 550 pages
File Size : 51,5 Mb
Release : 2005-03-04
Category : Computers
ISBN : 008048929X

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Intrusion Prevention and Active Response by Michael Rash,Angela Orebaugh,Graham Clark Pdf

Intrusion Prevention and Active Response provides an introduction to the field of Intrusion Prevention and provides detailed information on various IPS methods and technologies. Specific methods are covered in depth, including both network and host IPS and response technologies such as port deactivation, firewall/router network layer ACL modification, session sniping, outright application layer data modification, system call interception, and application shims. Corporate spending for Intrusion Prevention systems increased dramatically by 11% in the last quarter of 2004 alone Lead author, Michael Rash, is well respected in the IPS Community, having authored FWSnort, which greatly enhances the intrusion prevention capabilities of the market-leading Snort IDS

Machine Learning in Intrusion Detection

Author : Yihua Liao
Publisher : Unknown
Page : 230 pages
File Size : 54,5 Mb
Release : 2005
Category : Electronic
ISBN : UCAL:X70931

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Machine Learning in Intrusion Detection by Yihua Liao Pdf

Detection of anomalies in data is one of the fundamental machine learning tasks. Anomaly detection provides the core technology for a broad spectrum of security-centric applications. In this dissertation, we examine various aspects of anomaly based intrusion detection in computer security. First, we present a new approach to learn program behavior for intrusion detection. Text categorization techniques are adopted to convert each process to a vector and calculate the similarity between two program activities. Then the k-nearest neighbor classifier is employed to classify program behavior as normal or intrusive. We demonstrate that our approach is able to effectively detect intrusive program behavior while a low false positive rate is achieved. Second, we describe an adaptive anomaly detection framework that is de- signed to handle concept drift and online learning for dynamic, changing environments. Through the use of unsupervised evolving connectionist systems, normal behavior changes are efficiently accommodated while anomalous activities can still be recognized. We demonstrate the performance of our adaptive anomaly detection systems and show that the false positive rate can be significantly reduced.