| Description |
1 online resource (xii, 337 pages) : illustrations, maps |
| Contents |
1. 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 -- 2. 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 -- 3. Extractive forensics : link analysis and text mining. Data extraction -- Link analysis -- Link analysis tools -- Text mining -- Text mining tools -- From extraction to clustering |
|
4. Inductive forensics : clustering incidents and crimes. Autonomous forensics -- Self-organizing maps -- Clustering software -- Mapping incidents -- Clustering crimes -- From induction to deduction -- 5. Deductive forensics : anticipating attacks and precrime. Artificial intelligence and machine learning -- Decision trees -- Decision tree techniques -- Rule generators -- Decision tree tools -- The streaming analytical forensic processes -- Forensic analysis of streaming behaviors -- Forensic real-time modeling -- Deductive forensics for precrime -- 6. 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 -- Searches for associations : discovering links and text concepts -- Rules of fraud : conditions and clues -- A forensic investigation methodology -- Forensic ensemble techniques -- Fraud detection forensic solutions -- Assembling and evolving fraud detection framework |
|
7. Cybersecurity investigations : self-organizing and evolving analyses. What is cybersecurity forensics? -- Cybersecurity and risk -- Machine learning forensics for cybersecurity -- Deep packet Inspection (DPI) -- Network security tools -- Combating phishing -- Hostile code -- The foreign threat -- Forensice investigator toolkit -- Wireless hacks -- Incident response check-off checklists -- Digital fingerprinting -- 8. Corporate counterintelligence : litigation and competitive investigations. Corporate counterintelligence -- Ratio, trending, and anomaly analyses -- E-mail investigations -- Legal risk assessment audit -- Competitive intelligence investigations -- Triangulation investigations |
| Summary |
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. -- Provided by publisher |
| Notes |
Includes index |
| Bibliography |
Includes bibliographical references and index |
| Notes |
Print version record |
| Subject |
Forensic sciences -- Data processing
|
|
Computer crimes -- Investigation.
|
|
Electronic evidence.
|
|
Computer security
|
|
Machine learning.
|
|
Computer Security
|
|
Machine Learning
|
|
LAW -- Forensic Science.
|
|
Computer crimes -- Investigation
|
|
Computer security
|
|
Electronic evidence
|
|
Forensic sciences -- Data processing
|
|
Machine learning
|
| Form |
Electronic book
|
| ISBN |
9781439860700 |
|
143986070X |
|
