عنوان

Machine learning and data mining for computer security :

شابک

1280461926

شابک

184628029X

شابک

1846282535

شابک

1849965447

شابک

6610461929

شابک

9781280461927

شابک

9781846280290

شابک

9781846282539

شابک

9781849965446

شابک

9786610461929

شماره

b748088

عنوان اصلي

Machine learning and data mining for computer security :

نام عام مواد

[Book]

ساير اطلاعات عنواني

methods and applications /

نام نخستين پديدآور

Marcus A. Maloof (ed.).

محل نشرو پخش و غیره

London :

نام ناشر، پخش کننده و غيره

Springer,

تاریخ نشرو بخش و غیره

©2006.

نام خاص و کميت اثر

1 online resource (xvi, 210 pages) :

ساير جزييات

illustrations

عنوان فروست

Advanced information and knowledge processing

متن يادداشت

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

متن يادداشت

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.

بدون عنوان

0

متن يادداشت

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.

منبع سفارش / آدرس اشتراک

Springer

شماره انبار

978-1-84628-029-0

عنوان

Machine learning and data mining for computer security.

شماره استاندارد بين المللي کتاب و موسيقي

9781846280290

موضوع مستند نشده

Computer security.

موضوع مستند نشده

Data mining.

موضوع مستند نشده

Machine learning.

موضوع مستند نشده

Apprentissage automatique.

موضوع مستند نشده

Exploration de données (Informatique)

موضوع مستند نشده

Sécurité informatique.

موضوع مستند نشده

Apprentissage automatique.

موضوع مستند نشده

Computer security.

موضوع مستند نشده

Computer security.

موضوع مستند نشده

Computerbeveiliging.

موضوع مستند نشده

Computerbeveiliging.

موضوع مستند نشده

COMPUTERS-- Internet-- Security.

موضوع مستند نشده

COMPUTERS-- Networking-- Security.

موضوع مستند نشده

COMPUTERS-- Security-- General.

موضوع مستند نشده

Data mining.

موضوع مستند نشده

Data mining.

موضوع مستند نشده

Data mining.

موضوع مستند نشده

Exploration de données (Informatique)

موضوع مستند نشده

Informatique.

موضوع مستند نشده

Kunstmatige intelligentie.

موضوع مستند نشده

Kunstmatige intelligentie.

موضوع مستند نشده

Machine learning.

موضوع مستند نشده

Machine learning.

موضوع مستند نشده

Sécurité informatique.

موضوع مستند نشده

COM-- 043050

موضوع مستند نشده

COM-- 053000

موضوع مستند نشده

COM-- 060040

موضوع مستند نشده

UMA

شماره

ويراست

شماره رده

نشانه اثر

شماره رده

شماره رده

کد سيستم

کد سيستم

مستند نام اشخاص تاييد نشده

Maloof, Marcus A.

تاريخ عمليات

20201204080917.0

قواعد فهرست نويسي ( بخش توصيفي )

pn

نام الکترونيکي

نوع ماده

[Book]

تكميل شده

Y