Cyberspace, data analytics, and policing. (2021)

• Record Type: Book
• Further Information: Note: David B. Skillicorn.
• Authors: Skillicorn, David B
• Contents: Preface List of Figures List of Tables ; Introduction ; Cyberspace ; 2.1 What is cyberspace? 2.2 The impact of cyberspace 2.3 Identity and authentication 2.4 Encryption 2.5 Crime is changing; 2.6 Policing is changing New opportunities for criminality ; 3.1 Unprecedented access to information 3.2 Crimes directed against cyberspace 3.2.1 Malware 3.2.2 Crimes of destruction 3.2.3 Monetized cybercrimes 3.2.4 Data theft crimes 3.2.5 Secondary markets 3.3 Crimes that rely on cyberspace 3.3.1 Spam, scams, and cons 3.3.2 Financial crime 3.3.3 Online shopping 3.3.4 Crimes against children 3.4 Crimes done differently because of cyberspace 3.4.1 Disseminating hatred 3.4.2 Selling drugs 3.4.3 Stalking and crime preparation 3.4.4 Digital vigilantes 3.5 Money laundering; 3.5.1 Cash 3.5.2 The financial system 3.5.3 International money laundering 3.5.4 Cryptocurrencies 3.6 Overlap with violent extremism New ways for criminals to interact ; 4.1 Criminal collaboration 4.2 Planning together 4.3 Information sharing 4.3.1 Sharing techniques; 4.3.2 Sharing resources 4.3.3 Sharing vulnerabilities 4.4 International interactions ; Data analytics makes criminals easier to find ; 5.1 Understanding by deduction 5.2 Understanding by induction 5.3 Subverting data analytics; 5.4 Intelligence-led policing 5.5 Hot spot policing 5.5.1 Place 5.5.2 Time 5.5.3 Weather 5.5.4 People involved 5.5.5 Social network position 5.6 Exploiting skewed distributions ; Data collection ; 6.1 Ways to collect data 6.2 Types of data collected 6.2.1 Focused data 6.2.2 Large volume data 6.2.3 Incident data 6.2.4 Spatial data 6.2.5 Temporal data 6.2.6 Non-crime data 6.2.7 Data fusion 6.2.8 Protecting data collected by law enforcement; 6.3 Issues around data collection 6.3.1 Suspicion 6.3.2 Wholesale data collection 6.3.3 Privacy 6.3.4 Racism and other -isms 6.3.5 Errors 6.3.6 Bias 6.3.7 Sabotaging data collection 6.3.8 Getting better data by sharing Techniques for data analytics ; 7.1 Clustering 7.2 Prediction 7.3 Meta issues in prediction 7.3.1 Classification versus regression 7.3.2 Problems with the data 7.3.3 Why did the model make this prediction? 7.3.4 How good is this model?; 7.3.5 Selecting attributes; 7.3.6 Making predictions in stages 7.3.7 Bagging and boosting 7.3.8 Anomaly detection; 7.3.9 Ranking; 7.3.10 Should I make a prediction at all? 7.4 Prediction techniques 7.4.1 Counting techniques 7.4.2 Optimization techniques 7.4.3 Other ensembles; 7.5 Social network analysis 7.6 Natural language analytics 7.7 Making data analytics available 7.8 Demonstrating compliance Case studies ; 8.1 Predicting crime rates 8.2 Clustering RMS data 8.3 Geographical distribution patterns 8.4 Risk of gun violence 8.5 Copresence networks 8.6 Criminal networks with a purpose 8.7 Analyzing online posts 8.7.1 Detecting abusive language 8.7.2 Detecting intent 8.7.3 Deception 8.7.4 Detecting fraud in text 8.7.5 Detecting sellers in dark-web marketplaces 8.8 Behavior – detecting fraud from mouse movements 8.9 Understanding drug trafficking pathways Law enforcement can use interaction too ; 9.1 Structured interaction through transnational organizations 9.2 Divisions within countries 9.3 Sharing of information about crimes 9.4 Sharing of data 9.5 Sharing models 9.6 International issues ; Summary; Index
• Edition: 1st
• Publisher Details: Boca Raton : Chapman & Hall/CRC
• Publication Date: 2021
• Extent: 1 online resource, illustrations (black and white)
• Subjects: 364.168; Computer crimes -- Prevention; Criminal justice, Administration of -- Computer network resources; Police -- Data processing
• Languages: English
• ISBNs: 9781000465624; 9781000465587; 9781003126225
• Related ISBNs: 9780367642761
• Notes: Note: Includes bibliographical references and index.; Note: Description based on CIP data; resource not viewed.
• 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.