Understanding intrusion detection through visualization

著者

• Axelsson, Stefan
• Sands, David

書誌事項

Understanding intrusion detection through visualization

by Stefan Axelsson, David Sands

（Advances in information security, v. 24）

Springer, c2006

• : hbk.

注記

Includes bibliographical references (p. [133]-140) and index

内容説明・目次

内容説明

Computer security - the protection of data and computer systems from intentional, malicious intervention - is attracting increasing attention. Much work has gone into development of tools to detect ongoing or already perpetrated attacks, but a key shortfall in current intrusion detection systems is the high number of false alarms they produce. This book analyzes the false alarm problem, then applies results from the field of information visualization to the problem of intrusion detection. Four different visualization approaches are presented, mainly applied to data from web server access logs.

目次

An Introduction to Intrusion Detection.- The Base-Rate Fallacy and the Difficulty of Intrusion Detection.- Visualizing Intrusions: Watching the Webserver.- Combining a Bayesian Classifier with Visualization: Understanding the IDS.- Visualizing the Inner Workings of a Self Learning Classifier: Improving the Usability of Intrusion Detection Systems.- Visualization for Intrusion Detection-Hooking the Worm.- Epilogue.

「Nielsen BookData」 より

詳細情報

• NII書誌ID(NCID): BB01940352
• ISBN:
  • 9780387276342
• LCCN: 2005933712
• 出版国コード: us
• タイトル言語コード: eng
• 本文言語コード: eng
• 出版地: New York
• ページ数/冊数: xx, 145 p.
• 大きさ: 25 cm
• 分類:
  • LCC : TK5105.59
• 件名:
  • LCSH : Computer networks -- Security measures
  • LCSH : Information visualization
  • LCSH : Computer security
• 親書誌ID:
  • BA50260007