Machine Learning Forensics for Law Enforcement, Security, and Intelligence (Hardcover)

Jesus Mena

  • 出版商: Auerbach Publication
  • 出版日期: 2011-06-23
  • 售價: $4,200
  • 貴賓價: 9.5$3,990
  • 語言: 英文
  • 頁數: 349
  • 裝訂: Hardcover
  • ISBN: 1439860696
  • ISBN-13: 9781439860694
  • 相關分類: Machine Learning資訊安全
  • 立即出貨 (庫存=1)

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商品描述

Increasingly, crimes and fraud are digital in nature, occurring at breakneck speed and encompassing large volumes of data. To combat this unlawful activity, knowledge about the use of machine learning technology and software is critical. Machine Learning Forensics for Law Enforcement, Security, and Intelligence integrates an assortment of deductive and instructive tools, techniques, and technologies to arm professionals with the tools they need to be prepared and stay ahead of the game.

Step-by-step instructions

The book is a practical guide on how to conduct forensic investigations using self-organizing clustering map (SOM) neural networks, text extraction, and rule generating software to "interrogate the evidence." This powerful data is indispensable for fraud detection, cybersecurity, competitive counterintelligence, and corporate and litigation investigations. The book also provides step-by-step instructions on how to construct adaptive criminal and fraud detection systems for organizations.

Prediction is the key

Internet activity, email, and wireless communications can be captured, modeled, and deployed in order to anticipate potential cyber attacks and other types of crimes. The successful prediction of human reactions and server actions by quantifying their behaviors is invaluable for pre-empting criminal activity. This volume assists chief information officers, law enforcement personnel, legal and IT professionals, investigators, and competitive intelligence analysts in the strategic planning needed to recognize the patterns of criminal activities in order to predict when and where crimes and intrusions are likely to take place.

商品描述(中文翻譯)

犯罪和詐騙行為越來越多地以數位方式發生,速度驚人且涉及大量數據。為了打擊這種非法活動,了解機器學習技術和軟體的使用是至關重要的。《機器學習取證:適用於執法、安全和情報領域》整合了各種推理和教學工具、技術和技術,為專業人士提供所需的工具,以做好準備並保持領先地位。

本書是一本實用指南,介紹如何使用自組織聚類映射(SOM)神經網絡、文本提取和規則生成軟體進行取證調查,以“審問證據”。這些強大的數據對於詐騙檢測、網絡安全、競爭情報和企業訴訟調查至關重要。本書還提供了逐步指導,教讀者如何為組織構建適應性犯罪和詐騙檢測系統。

預測是關鍵。可以捕獲、建模和部署互聯網活動、電子郵件和無線通信,以預測潛在的網絡攻擊和其他類型的犯罪行為。通過量化人類反應和伺服器行為,成功預測犯罪活動的模式對於預防犯罪至關重要。本書幫助首席信息官、執法人員、法律和IT專業人員、調查人員和競爭情報分析師進行戰略規劃,以識別犯罪活動的模式,預測犯罪和入侵可能發生的時間和地點。