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市場調查報告書

行動ID詐欺:2010年

Mobile ID Fraud 2010

出版商 Visiongain
出版日期 2010年07月 商品編碼 128372
內容資訊 英文 134 Pages
價格
US $ 2331 PDF by E-mail (Single User License)
US $ 4663 PDF by E-mail (Departmental License)
US $ 7772 PDF by E-mail (Site License)
US $ 10882 PDF by E-mail (Global Site License)


行動ID詐欺:2010年 是由出版商Visiongain在2010年07月所出版的。 這份英文市場調查報告書包含134 Pages 價格從美金2331起跳。

簡介

本報告書內容包括:行動平台的ID詐欺相關安全風險的調查、行動上的ID詐欺所包含的主要問題、ID詐欺所使用的方法、ID詐欺的防止方法、ID詐欺帶給行動的影響、ID詐欺對未來行動平台情況所帶來的影響、ID詐欺・解決方案的促進因素和阻礙因素等分析、行動電信業者、行動Web內容供應商及行動端子製造商的提案彙整、內容綱要摘記如下:

第1章 實施摘要

第2章 ID詐欺

  • ID竊盜
  • 客戶獨佔
  • 網路釣魚
  • 自動化大規模詐騙
  • 簡訊網釣
  • 雙重瀏覽器
  • Rock Phish Kit
  • Avalanche
  • 企業ID詐欺
  • 行動銀行應用
  • Wi-Fi安全
  • Evil twin網路
  • 無線網路暗號化技術
  • WPA及WPA2
  • Wi-Fi Piggybacking(Wi-Fi順風車)
  • 生體認證
  • 行動複製
  • LTE/4G的安全課題
  • 2009年的不景氣影響
  • 行動端子的損失
  • GSMA IMEI資料庫
  • 行動設備循環
  • 行動資料控制的損失
  • 保險詐欺
  • 全球的趨勢
  • ID詐欺的成本
  • 法律
  • ID詐欺的預防
  • 結論

第3章 行動端子

  • 行動端子的安全
  • 端子的風險
  • 透過智慧型電話病毒的ID詐欺
  • 端子的脆弱性

第4章 行動電信業者

  • 不正當的行動客戶
  • 企業資料保護
  • 企業ID詐欺
  • 網路連結・安全
  • 結論

第5章 行動Web

  • 資料使用・連結
  • 行動病毒
  • 行動線上資料的優點
  • 行動Web規格・安全
  • 行動Web的親近度
  • 行動內容供應商
  • 結論

第6章 行動病毒和行動安全

  • 行動病毒
  • ID資料保護
  • ID認證
  • 暗號化

第7章 行動ID詐欺的情況:2015年

  • 行動防毒軟體
  • 全球的行動ID詐欺:2015年
  • 不正當線上活動的預測:2010/2011年
  • 點選詐欺

第8章 結論・提案

  • 行動電信業者
  • 行動Web內容供應商
  • 行動端子製造商

附錄A

附錄B

本報告書所舉出的企業清冊

目錄

Abstract

Report Details

Identity theft and fraud has gained a foothold on the fixed internet as well as areas of hard copy information. Visiongain believes that this will migrate onto the mobile platform.

Key players in the mobile industry involved in mobile content, the mobile web and protecting mobile subscribers need to gain a thorough understanding of a crime that is continuously evolving and will migrate onto the mobile platform. The mobile phone has become intrinsically linked with the mobile web and as such has heightened the security risks associated with identity fraud.

Traditional mobile content, such as voice and SMS messaging are not immune from this threat. While ID fraud in general is believed to be falling visiongain believes that its presence on the mobile phone will grow, and the mobile industry will need to be aware of the dangers presented to themselves and their subscribers.

Reading this exclusive management report will tell you the following:

  • What are the main issues surrounding ID fraud on the mobile?
  • What methods can be used on the mobile to facilitate ID fraud?
  • What action can be taken in the industry to prevent ID fraud on the mobile?
  • What kind of an impact will ID fraud have on the mobile?
  • How will ID fraud affect the future landscape of the mobile platform?
  • What are the drivers and barriers to mobile ID fraud?
  • What are the drivers and barriers to mobile ID fraud solutions?

Find out the answers to these and many other questions by buying this vital industry insight.

The next generation of mobile subscribers will have a stronger presence on the mobile web, and the next generation of mobile phones will be devices that have the potential to store ever higher amounts of data and information that will be at risk from identity fraudsters.

The mobile web is at risk of being stifled through poor user experience suffered from identity fraud on the mobile web as well as through traditional mobile content. Protection for mobile subscribers will need to be given in order to encourage growth of the mobile platform.

Why you need to order this report today

  • Mobile Operators - Gain an insight as to what issues regarding ID fraud can be tackled by the mobile operator and how this will benefit the operator in the market. Discover the risks to the mobile network from ID fraud and how these risks can be best prevented.
  • Mobile handset vendors - Discover what issues on the handset directly affect mobile ID fraud and how these can be best dealt with while remaining competitive in the mobile market. Learn what role mobile handset vendors possess in the mobile market in tackling ID fraud and the opportunities that this presents.
  • Mobile content providers - Learn what subscribers need to protect themselves from ID fraud and what affect ID fraud can have on the mobile web content market.
  • Mobile security strategists - Discover the priorities in defending the mobile industry from ID fraud and what has been seen in the market. Discover what opportunities exist in the mobile market for security against ID fraud.

Who needs to read this report?

Directors, VP and Senior managers in:

  • Mobile/Cellular carriers and operators
  • Mobile handset manufacturers
  • Brands looking to protect their mobile content
  • Brands and strategists looking to protect mobile subscribers

Table of Contents

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

Companies Listed

  • 3 Networks
  • ABN Amro
  • Adaptive Mobile
  • Alliance and Leicester
  • Android
  • Anti-Phishing Working Group
  • Apple Inc
  • AT&T
  • Bango
  • BBC
  • Blackberry
  • Blyk
  • Bullguard
  • Cellular News
  • CGAP
  • China Mobile
  • CIFAS
  • CNN
  • Commbank
  • DoCoMo
  • Ericsson
  • Esmertec
  • Facebook
  • Foursquare
  • Fujitsu
  • Getjar
  • Google
  • GSMA
  • Halifax
  • Hewlett Packard
  • Home Office
  • HSBC
  • HTC
  • Iometer
  • Kaspersky
  • Kenya Equity Bank
  • Linux
  • Lotus
  • M86 security
  • McAfee
  • mConfirm
  • Microsoft
  • M-Kesho
  • Mobixie
  • Motorola
  • M-Pesa
  • MSN Money
  • Myspace
  • Natwest
  • Netsize
  • Newport Networks
  • Newport Networks
  • Nokia
  • Norton Antivirus
  • O2
  • Orange
  • Panda Security
  • Paypal
  • RIM
  • Samsung
  • Security Systems
  • Skype
  • Sony
  • SophosLabs
  • Sprint Nextel
  • Suntrust
  • Supercover Insurance
  • Symantec
  • Symantec
  • Symbian
  • Telefonica
  • Texas Instruments
  • The Open Handset Alliance
  • T-Mobile
  • Toshiba
  • Trend Micro
  • Twitter
  • Unisys
  • Verizon
  • Visa
  • Vodafone
  • World Bank
  • Xssist
  • Yahoo!
  • YouGov
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