عنوان

Machine learning and data mining for computer security :

(Number (ISBN

1280461926

(Number (ISBN

184628029X

(Number (ISBN

1846282535

(Number (ISBN

1849965447

(Number (ISBN

6610461929

(Number (ISBN

9781280461927

(Number (ISBN

9781846280290

(Number (ISBN

9781846282539

(Number (ISBN

9781849965446

(Number (ISBN

9786610461929

Number

b748088

Title Proper

Machine learning and data mining for computer security :

General Material Designation

[Book]

Other Title Information

methods and applications /

First Statement of Responsibility

Marcus A. Maloof (ed.).

Place of Publication, Distribution, etc.

London :

Name of Publisher, Distributor, etc.

Springer,

Date of Publication, Distribution, etc.

©2006.

Specific Material Designation and Extent of Item

1 online resource (xvi, 210 pages) :

Other Physical Details

illustrations

Series Title

Advanced information and knowledge processing

Text of Note

Includes bibliographical references (pages 179-198) and index.

Text of Note

Survey Contributions -- An Introduction to Information Assurance -- Some Basic Concept of Machine Learning and Data Mining -- Research Contributions -- Learning to Detect Malicious Executables -- Data Mining Applied to Intrusion Detection: MITRE Experiences -- Intrusion Detection Alarm Clustering -- Behavioral Features for Network Anomaly Detection -- Cost-Sensitive Modeling for Intrusion Detection -- Data Cleaning and Enriched Representations for Anomaly Detection in System Calls -- A Decision-Theoritic, Semi-Supervised Model for Intrusion Detection.

0

Text of Note

The Internet began as a private network connecting government, military, and academic researchers. As such, there was little need for secure protocols, encrypted packets, and hardened servers. When the creation of the World Wide Web unexpectedly ushered in the age of the commercial Internet, the network's size and subsequent rapid expansion made it impossible retroactively to apply secure mechanisms. The Internet's architects never coined terms such as spam, phishing, zombies, and spyware, but they are terms and phenomena we now encounter constantly. Programming detectors for such threats has proven difficult. Put simply, there is too much information--too many protocols, too many layers, too many applications, and too many uses of these applications--for anyone to make sufficient sense of it all. Ironically, given this wealth of information, there is also too little information about what is important for detecting attacks. Methods of machine learning and data mining can help build better detectors from massive amounts of complex data. Such methods can also help discover the information required to build more secure systems. For some problems in computer security, one can directly apply machine learning and data mining techniques. Other problems, both current and future, require new approaches, methods, and algorithms. This book presents research conducted in academia and industry on methods and applications of machine learning and data mining for problems in computer security and will be of interest to researchers and practitioners, as well students. 'Dr. Maloof not only did a masterful job of focusing the book on a critical area that was in dire need of research, but he also strategically picked papers that complemented each other in a productive manner. ... This book is a must read for anyone interested in how research can improve computer security.' Dr Eric Cole, Computer Security Expert.

Source for Acquisition/Subscription Address

Springer

Stock Number

978-1-84628-029-0

Title

Machine learning and data mining for computer security.

International Standard Book Number

9781846280290

Computer security.

Data mining.

Machine learning.

Apprentissage automatique.

Exploration de données (Informatique)

Sécurité informatique.

Apprentissage automatique.

Computer security.

Computer security.

Computerbeveiliging.

Computerbeveiliging.

COMPUTERS-- Internet-- Security.

COMPUTERS-- Networking-- Security.

COMPUTERS-- Security-- General.

Data mining.

Data mining.

Data mining.

Exploration de données (Informatique)

Informatique.

Kunstmatige intelligentie.

Kunstmatige intelligentie.

Machine learning.

Machine learning.

Sécurité informatique.

COM-- 043050

COM-- 053000

COM-- 060040

UMA

Number

Edition

Class number

Book number

Class number

Class number

System Code

System Code

Maloof, Marcus A.

Date of Transaction

20201204080917.0

Cataloguing Rules (Descriptive Conventions))

pn

Electronic name

[Book]

Y