Chapter 1: Executive Summary
1.2 Identity theft and fraud
1.3 Identity fraud on the mobile
1.4 The focus of this report
Chapter 2: ID Fraud
2.1.1 ID theft
2.1.2 Account takeover
2.1.3 Phishing
Fig 2.1 – Phishing targets for week ending May 30th 2010
Fig 2.2 – Phishing sources by country for week ending May 30th 2010
Fig 2.3 – Phishing sources by continent for week ending May 30th 2010
2.1.4 Pharming
2.1.5 SMiShing
2.1.6 Tabnapping
2.2 The rock phish toolkit
2.3 Avalanche
Fig 2.4 – Avalanche attacks
2.4 Corporate ID fraud
2.5 Mobile banking applications
2.6 Wi-Fi security
2.7 Evil twin networks
2.8 Wireless network encryption technologies
2.9 WPA and WPA2
2.10 Wi-Fi ‘piggybacking’
2.11 Biometric authentication
2.12 Mobile cloning
2.13 LTE/4G security issues
2.14 The effect of the 2009 recession
Table 2.1 – Fraud type changes: 2008 - 2009
2.15 Loss of the mobile handset
2.16 The GSMA IMEI database
2.17 Mobile device recycling
2.18 Loss of mobile data control
2.19 Insurance fraud
2.20 Global trends
2.20.1 The US
2.20.2 Europe
2.20.3 Asia
2.21 Cost of ID fraud
2.22 Legislation
2.23 ID fraud prevention
2.24 Chapter conclusions
Chapter 3: Mobile Handsets
3.1 Mobile handset security
3.2 Handset risks
3.2.2 Smartphones
3.2.2.1 RIM Blackberry
Fig 3.1 RIM Blackberry enterprise solution
Fig 3.2 End to end enterprise solution
Fig 3.3 RIM Blackberry encryption process
3.2.2.2 Apple iPhone
3.2.2.3 Android smartphones
Fig 3.4 – Android security architecture
3.3 ID fraud through smartphone viruses
3.3.1 Mobile malware
3.3.2 Mobile viruses
3.4 Vulnerabilities on handsets
3.4.1 Bluetooth
3.4.2 NFC
3.4.3 Shoulder surfing
3.4.4 Handset recycling
Chapter 4: Mobile Operators
4.1 Fraudulent mobile accounts
4.1.1 Data sharing
4.1.1.1 IMEI database
4.1.1.2 Shared blacklist
4.1.1.3 Point of sale co-operation
4.1.2 Real time/early detection and action
4.1.3 Tracking individual and group ID fraud
4.2 Corporate data protection
4.2.1 Protecting consumer information
4.2.2 Consumer mistrust
Fig 4.1 – UK institutions trusted by the public
4.3 Corporate ID fraud
4.4 Network connection and security
4.4.1 Content filtering
4.4.1.1 Mobile web
4.4.1.2 Secure sockets layer (SSL)
Fig 4.2 – SSL position in the IP stack
4.4.1.2.1 Firewall
4.4.1.2 SMS/MMS
4.4.1.3 Voice calls
4.4.2 Privacy concerns
4.4.3 Wireless/Wi-Fi security
4.4.4 Ad funded content threat
4.4.4.1 Blyk ID security solution
4.4.5 Limits to mobile operator control
4.5 Conclusions
Chapter 5: The Mobile Web
5.1 Drive in data usage and connections
5.1.1 Global mobile web usage
5.1.1.1 Mobile web in Europe
5.1.1.2 Mobile web in the US
Fig 5.1 – Operating system share of worldwide mobile web
5.1.1.3 Mobile web in the BRIC markets
5.2.1 Mobile virus
5.2.2 Mobile phishing and pharming
5.2.3 Mobile banking
5.2.4 Mobile social networking
5.2.5 Mobile purchasing
5.3 Mobile online data benefits
5.4 Mobile web standards and security
5.5 Mobile web accessibility
5.6 Mobile content providers
5.6.1 Malware prevention
5.6.2 User identification
5.6.3 Web site security
5.6.4 Ad funded content
5.6.5 Protection in proportion to risk
5.6.6 Responsible data handling
5.7 Conclusion
Chapter 6: Mobile viruses and mobile security
6.1 Mobile viruses
6.1.2 ID fraud perpetrated through mobile viruses
6.1.3 Mobile virus protection
6.1.3.1 Eset mobile antivirus
6.1.3.2 Adaptive mobile
6.2 Identity data protection
6.2.1 GB Group
6.3 Identity authentication
6.4 Encryption
Chapter 7: Mobile ID fraud landscape in 2015
7.1 Mobile antivirus software
7.2 Global mobile ID fraud in 2015
7.3 Ten predictions for fraudulent online activity in 2010/11
7.4 Click fraud
Chapter 8: Conclusions and recommendations
8.1 Mobile operators
8.2 Mobile web content providers
8.3 Mobile handset manufacturers
Appendix A: About visiongain
Appendix B: Visiongain report evaluation form
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