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Wireless Security Market in LTE Networks 2013-2018

With the rapid expansion of broadband wireless, end-users increasingly rely upon handheld devices for almost all daily living activities. Fourth generation (4G) cellular LTE in particular represents a unique opportunity/challenge as device attacks are growing at a rapid rate, exposing vulnerabilities that must be addressed. Our research indicates that Android malware in particular will grow rapidly and will be considered most vulnerable OS for LTE.

Wireless Security Market in LTE Networks 2013-2018 is must reading for anyone involved in LTE network planning, device procurement, and/or application development and management. This report includes extensive LTE Security Market forecasting for the period 2013 – 2018. The report complements Mind Commerce research in LTE device, subscriptions, and application market analysis as well as security threats for specific applications such as mobile games.

Companies in Report:

Apple, Samsung Asus, Motorola, Kaspersky, AVG, McAffee, F-secure, Trojon, Verizon Wireless ,NTT DocoMo, AT & T Mobility USA ,Metro PCS ,Vodafone D2 EMOBILE NTT DOCOMO SoftBank Mobile,KDDIVodafone,3(Hutchison),O2(Telefonica)Everything Everywhere, Zain,Nawras, Omantel, Mobily, Saudi Telecom Company (STC),Zain, du Etisalat, Movicel, Orange Mauritius, MTC Namibia, Vodacom, China Mobile Hong Kong,CSL, PCCW, Smartone, Aircel, Airtel, Augere, Qualcomm, Tikona,, Megafon, MTS, Yota

Target Audience:

  • LTE device manufacturers
  • Mobile network operators
  • LTE infrastructure providers
  • Cellular application developers
  • Managed communications providers

General Methodology

Mind Commerce Publishing's research methodology encompasses input from a wide variety of sources.

We rely heavily upon our Subject Matter Experts (SME) in terms of their market knowledge, unique perspective, and vision. We utilize SME industry contacts as well as previous customers and participants in our market surveys and interactive interviews.

In addition, we rely upon our extensive internal database, which contains modeling, qualitative analysis, and quantitative data. We review secondary sources and compare to our primary sources to update previous findings (for prior version reports) and/or compile baseline information for technology and market modeling.

We share preliminary models with industry contacts (select previous clients, experts, and thought leaders) to verify the veracity of initial modeling. Prior to final report production (analysis, findings, and conclusions), we engage in an internal review with internal SMEs as well as cross-expertise, senior staff members to challenge results.

We believe that forecasts should be prepared as part of an integrated process which involves both quantitative as well as qualitative factors. We follow the following 3-step process for forecasting.

Forecasting Methodology

Step 1 - Forecasts Input: The inputs for the present and historical revenues are derived from industry players. Financial and other quantitative data for individual sub-market categories are derived from original research and tested with interviews with major industry constituents.

Step 2 - Forecasting of Future Years: Mind Commerce extends forecasts based on a variety of factors including demand drivers as well as supply side data. Key success factors and assumptions are considered.

Step 3 - Validation of Data: The final step is to validate projections, which is accomplished in consultation with both internal and external industry experts, including both topic and regional experts. Adjustments are made to the forecasts based on factors identified throughout this process.

1.0 Executive Summary
2.0 Introduction
3.0 Wireless Security In Lte
3.1 Why Wireless Security Is Different In Lte
3.2 Lte And Mobile Wimax Technical Comparison
3.3 Wireless Security Vulnerability : A Burning Issue For Mobile Devices
3.3.1 Correlated Risk In Lte:
3.4 Smartphone & Tablet Device: New Choice Of Attacker
3.4.1 Android Malware Samples:
3.5 3gpp/Lte Security Standardization Specifications: 3gpp Nds
3.6 Dns In Wireless Security
4.0 Mobile Security In Ip Environment: Lte Pattern
4.1 Trends Of Mobile Security Threats
4.1.1 Wireless Mobile Device Advancement
4.1.2 Increasing Number Of Malicious Application
4.1.3 Android’s Popularity
4.1.4 Adaption Of Mobile Device In Corporate Area
4.1.5 Lack Of Awareness Among Subscriber
4.2 Ran & Backhaul As Means For Stronger Security
4.3 Core Network Threats
4.4 Diameter Signalling Derived Threat:
4.5 Third Party Sourced Threat
4.5.1 Roaming Partners:
4.5.2 Mvno
4.5.3 Infrastructure
4.5.4 Enterprise Network
4.6 Iwlan Security
4.7 Small Cell Security
4.8 Rcs (Rich Communication Services) Security
Figure 10: Rcs (Rich Communication Services) Security Architecture (Copyright: Radisys)
5.0 Wireless Security Analysis On Lte Pattern
5.1 Analysis Of Wireless Lte Threat:
5.1.1 Lte Application User Forecasting 2013-2018*
5.1.2 Consumer Awareness Over Wireless Security 2013 – 2018
5.1.3 Worldwide Wireless Antivirus User 2013-2018*
5.2 Outlook Of Wireless Lte Threat:
6.0 Wireless Security Threats Gateway On Mobile Device: Lte Pattern
6.1 Wireless Lte Cyber Threat Landscape:
6.2 Web Security Threat
6.3 Category Posed Threat
6.4 Platform Posed Threat
6.5 Analysis Of All Types Of Lte Threat
7.0 Graphical Presentation Of Wireless Security Incident
7.1 Wireless Incident By Through Sources
7.1.1 Voip
7.1.2 Mms
7.1.3 Mobile Gaming
7.1.4 Mobile Payment
7.1.5 Mobile Application
7.2 Region Wise Lte Threat
7.2.1 Voip Threat
7.2.2 Mms Threat:
7.2.3 Gaming Threat:
7.2.4 Mobile Payment Threat:
7.2.5 Application Download Threat
8.0 Lte Taking The Place Of 3g
8.1 Worldwide Lte User Analysis
8.1.1 Lte User Expansion Globally
8.1.2 Lte User Region Wise:
8.2 Wireless Security Incident By Source
8.3 Worldwide Mobile Antivirus User
8.4 Upshot On Lte Users And Its Future
9.0 Wireless Security Measure Deployment
9.1 Country Wise Lte Security Awareness (2013-2018)
9.1.1 Usa
9.1.2 Uk
9.1.3 South Korea
9.1.4 Africa
9.1.5 Australia
9.1.6 Brazil
9.1.7 Canada
9.1.8 Belgium
9.1.9 France
9.1.10 Germany
9.1.11 Russia
9.1.12 Middle East
9.1.13 Japan
9.1.14 China
9.1.15 India
9.2 Country Wise Lte Network (With Privacy & Security) Provider Market Share
9.2.1 Usa
9.2.2 Uk
9.2.3 Africa
9.2.4 Middle East
9.2.5 South Korea
9.2.6 Japan
9.2.7 Russia
9.2.8 Belgium
9.2.9 Germany
9.2.10 Australia
9.2.11 Hongkong
9.2.12 China
9.2.13 India
10.0 Wireless Security Vendor Company Analysis
10.1 Worldwide Security Vendor Analysis
11.0 Distinctive Initiative To Prevent Wireless Incident
11.1 Unique Mobile Security By British Firm
11.2 Wireless Lte Threat Identification Through Prevention Application
12.0 Wireless Security Market Projection 2013 – 2018
12.1 Region Wise % Of Lte Deployment 2013
Figure 63: Region Wise % Of Lte Deployment 2013
12.2 Vulnerability %: Smartphone Vs. Tablet Device 2013-2018
12.3 Region Wise Market Value Projection
Figure 65: Region Wise Secure Lte Subscribers (In Million) 2013-2018*
12.4 Wireless Security Company Market Share 2013
12.5 Lte Infrastructure Commercial By Vendors
12.6 Lte Supporting Tablet & Smartphone Manufacturers
Figure 68: Lte Supporting Tablet & Smartphone Manufacturers
13.0 Case Analysis
13.1 Thanks Giving: Big Day For Hackers
13.1.1 Introduction: Hackers Targeting Shoppers' Smartphones
13.1.2 How The Smartphone Attacked
13.1.3 Researchers Opinion And Conclusion
13.2 Wireless Threat In Corporate Environment
13.2.1 Introduction
13.2.2 Attack In Corporate Environment:
13.3 One Simple Trick Could Disable A City’s Lte Network
13.3.1 Introduction
13.3.2 Femtocell Is A Contributor In Lte Attack
13.4 High Speed Lte Is A Source Of Attack For Terrorist
13.4.1 Introduction
13.4.2 Researchers Quote On “lte As A Source Of Terrorist Attack”
13.5 Cybercriminal’s Network On Mobile Payment
13.5.1 Introduction
13.6 Mobile Application Download Foundation Of Virus Download
13.6.1 Introduction
13.6.2 How The Virus Download By Application Download
13.7 Mobile Wifi Hacking
13.8 Game Application Hacked Smartphone & Tablet
14.0 Conclusion & Recommendation
14.1 Conclusion
14.2 Upcoming Top 10 Wireless Lte Security Issues In 2013
14.2.1 Targeted Attacks
14.2.2 More Hactivism
14.2.3 Cyber Espionage & Warfare
14.2.4 Big Brother Watching Even More
14.2.5 Increase In Malware
14.2.6 Privacy Rights Eroding
14.2.7 Cyber Extortion
14.2.8 Apple Under Attack
14.2.9 Android, Even Worse
14.2.10 Un-patched Exploits In Java
14.3 Recommendation
14.3.1 Protecting Corporate Network
14.4 Recommendation For Mobile Application Developers:
14.5 Ios: Recommended Settings For Wi-fi Routers And Access Points
14.6 Recommended Security For Mobile Payment
14.6.1 Detecting If Cardholder Data Is Being Skimmed
14.6.2 Identifying And Protecting Wlan From Unauthorized Devices
14.7 Ip Network Security Measures:
Figure 1:System Architecture of Wireless LTE
Figure 2: LTE and GPRS networks - Comparison between Equivalent Functionalities
Figure 3:Android Malware Samples
Figure 4: Model of NDS
Figure 5:Ran & Black-haul in LTE
Figure 6:Diameter Signaling Threat Structure
Figure 7:Structure of LTE roaming
Figure 8: IWLAN Security Architecture
Figure 9: Small Cell Security Architecture
Figure 10: Rich Communication Services (RCS) Security Architecture
Figure 11: LTE application usage rate 2013-2018
Figure 12: Consumer Awareness over Wireless Security 2013 – 2018
Figure 13: Worldwide Wireless Antivirus User
Figure 14: Wireless Security Landscape
Figure 15: LTE Web Security Threats
Figure 16: Category Posed Threats
Figure 17: Platform Posed LTE Threats
Figure 18: Worldwide VOIP Incidents 2013-2018
Figure 19: Worldwide MMS Incidents 2013-2018
Figure 20: Worldwide Mobile Gaming Incidents 2013-2018
Figure 21: Worldwide Mobile Payment Incidents 2013-2018
Figure 22: Worldwide Mobile Application Download Incident 2013-2018
Figure 23: Region-based VOIP incident
Figure 24: Region wise MMS incident
Figure 25: Region0based Mobile Gaming incident
Figure 26: Region-based Mobile Payment incident
Figure 27: Region-based Application Download Incident
Figure 28: LTE Global User Expansion
Figure 29:LTE Deployment Regionally
Figure 30: Wireless Security Incident by Source 2013-2018
Figure 31: Worldwide Mobile Antivirus Users by Region 2013-2018
Figure 32: USA:LTE Incident Awareness (2013-2018)
Figure 33: UK: LTE Incident Awareness (2013-2018)
Figure 34: South Korea: LTE Incident Awareness (2013-2018)
Figure 35: Africa: LTE Incident Awareness (2013-2018)
Figure 36: Australia: LTE Incident Awareness (2013-2018)
Figure 37: Brazil: LTE Incident Awareness (2013-2018)
Figure 38: Canada: LTE Incident Awareness (2013-2018)
Figure 39: Belgium: LTE Incident Awareness (2013-2018)
Figure 40: France: LTE Incident Awareness (2013-2018)
Figure 41: Germany: LTE Incident Awareness (2013-2018)
Figure 42: Russia: LTE Incident Awareness (2013-2018)
Figure 43: Middle East: Incident Awareness (2013-2018)
Figure 44: Japan: LTE Incident Awareness (2013-2018)
Figure 45: China: LTE Incident Awareness (2013-2018)
Figure 46: India: LTE Incident Awareness (2013-2018)
Figure 47: USA: LTE Service Providers
Figure 48: UK: LTE Service Providers
Figure 49: Africa: LTE Service Providers
Figure 50: Middle East: LTE Service Providers
Figure 51: South Korea: LTE Service Providers
Figure 52: Japan: LTE Service Providers
Figure 53: Russia: LTE Service Providers
Figure 54: Belgium: LTE Service Providers
Figure 55: Germany: LTE Service Providers
Figure 56: Australia: LTE Service Providers
Figure 57: Hong Kong: LTE Service Providers
Figure 58: China: LTE Service Providers
Figure 59: India :LTE Service Providers
Figure 60: Wireless Security Antivirus Global Market Share 2013-2018
Figure 61:Tie Mobile Security Model
Figure 62:LTE Threat Identification Application
Figure 63: Region-based % of LTE Deployment 2013
Figure 64: Vulnerability % Smartphone vs. Tablet Devices 2013-2018
Figure 65: Region-based Secure LTE Subscribers 2013-2018
Figure 66: Global Security Vendor Company Market share 2013
Figure 67: LTE Infrastructure Commercial by Vendors 2013-2018
Figure 68: LTE Supporting Tablet & Smartphone Manufacturers
Figure 69: Attacker Targeting Smartphones & Tablets
Figure 70:Wireless Threat in Corporate Environment
Figure 71:Mobile Payment Attack
Figure 72: Virus Spread through Application Downloads
Figure 73:Game Application on Smartphones
Table 1:Types of Wireless Attack

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