Machine learning forensics for law enforcement, security, and intelligence. (©2011)

• Record Type: Book
• Further Information: Note: Jesus Mena.
• Other Names: Mena, Jesus
• Contents: What Is Machine Learning Forensics?; Definition; Digital Maps and Models: Strategies and Technologies; Extractive Forensics: Link Analysis and Text Mining; Inductive Forensics: Clustering Incidents and Crimes; Deductive Forensics: Anticipating Attacks and Precrime; Fraud Detection: On the Web, Wireless, and in Real Time; Cybersecurity Investigations: Self-Organizing and Evolving Analyses; Corporate Counterintelligence: Litigation and Competitive Investigations; A Machine Learning Forensic Worksheet; Digital Investigative Maps and Models : Strategies and Techniques ; Forensic Strategies; Decompose the Data; Criminal Data Sets, Reports, and Networks; Real Estate, Auto, and Credit Data Sets; Psychographic and Demographic Data Sets; Internet Data Sets; Deep Packet Inspection (DPI); Designing a Forensic Framework; Tracking Mechanisms; Assembling Data Streams; Forensic Techniques; Investigative Maps; Investigative Models; Extractive Forensics: Link Analysis and Text Mining ; Data Extraction; Link Analysis; Link Analysis Tools; Text Mining; Text Mining Tools; Online Text Mining Analytics Tools; Commercial Text Mining Analytics Software; From Extraction to Clustering; Inductive Forensics : Clustering Incidents and Crimes ; Autonomous Forensics; Self-Organizing Maps; Clustering Software; Commercial Clustering Software; Free and Open-Source Clustering Software; Mapping Incidents; Clustering Crimes; From Induction to Deduction; Deductive Forensics : Anticipating Attacks and Precrime ; Artificial Intelligence and Machine Learning; Decision Trees; Decision Tree Techniques; Rule Generators; Decision Tree Tools; Free and Shareware Decision Tree Tools; Rule Generator Tools; Free Rule Generator Tools; The Streaming Analytical Forensic Processes; Forensic Analysis of Streaming Behaviors; Forensic Real-Time Modeling; Deductive Forensics for Precrime; Fraud Detection : On the Web, Wireless, and in Real Time ; Definition and Techniques: Where, Who, and How; The Interviews: The Owners, Victims, and Suspects; The Scene of the Crime: Search for Digital Evidence; Four Key Steps in Dealing with Digital Evidence ; Searches for Associations: Discovering Links and Text Concepts; Rules of Fraud: Conditions and Clues; A Forensic Investigation Methodology; Step One: Understand the Investigation Objective; Step Two: Understand the Data; Step Three: Data Preparation Strategy; Step Four: Forensic Modeling; Step Five: Investigation Evaluation; Step Six: Detection Deployment; Forensic Ensemble Techniques; Stage One: Random Sampling; Stage Two: Balance the Data; Stage Three: Split the Data; Stage Four: Rotate the Data; Stage Five: Evaluate Multiple Models; Stage Six: Create an Ensemble Model; Stage Seven: Measure False Positives and Negatives; Stage Eight: Deploy and Monitor; Stage Nine: Anomaly Detection; Fraud Detection Forensic Solutions; Assembling an Evolving Fraud Detection Framework ; Cybersecurity Investigations : Self - Organizing and Evolving Analyses ; What Is Cybersecurity Forensics?; Cybersecurity and Risk; Machine Learning Forensics for Cybersecurity; Deep Packet Inspection (DPI); Layer 7: Application; Layer 6: Presentation; Layer 5: Session; Layer 4: Transport; Layer 3: Network; Layer 2: Data Link; Layer 1: Physical; Software Tools Using DPI; Network Security Tools; Combating Phishing; Hostile Code; The Foreign Threat; The CNCI Initiative Details ; Forensic Investigator Toolkit; Wireless Hacks; Incident Response Check-Off Checklists; Digital Fingerprint; Corporate Counterintelligence : Litigation and Competitive Investigations ; Corporate Counterintelligence; Ratio, Trending, and Anomaly Analyses; E-Mail Investigations; Legal Risk Assessment Audit; Inventory of External Inputs to the Process; Identify Assets and Threats; List Risk Tolerance for Major Events; List and Evaluate Existing Protection Mechanisms; List and Assess Underprotected Assets and Unaddressed Threats; Competitive Intelligence Investigations; Triangulation Investigations; Index ;
• Publisher Details: Boca Raton, FL : CRC Press
• Publication Date: 2011
• Copyright Date: 2011
• Extent: 1 online resource (xii, 337 pages), illustrations, maps
• Subjects: 363.250285/631; Forensic sciences -- Data processing; Computer crimes -- Investigation; Electronic evidence; Computer security; Machine learning; LAW -- Forensic Science; Computer crimes -- Investigation; Computer security; Electronic evidence; Forensic sciences -- Data processing; Machine learning; Electronic books
• Languages: English
• ISBNs: 9781439860700
• Related ISBNs: 143986070X; 9781439860694; 1439860696
• Notes: Note: Includes bibliographical references and index.; Note: Print version record.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.