Optimal Data Artifact Determination for Mobile SQL Server CE Database Buffering as a Way to Solve the Problem of Low Performance of Portable Mobile Devices

2010 ◽  
Author(s):  
Ondrej Krejcar ◽  
Dalibor Janckulik ◽  
Leona Motalova
Keyword(s):  
Mobile Devices ◽  
Sql Server ◽  
Low Performance ◽  
Data Artifact

scholarly journals Fingerprint Authentication Schemes for Mobile Devices

2015 ◽  
Vol 5 (3) ◽  
pp. 579
Author(s):  
Jinho Han
Keyword(s):  
Mobile Devices ◽  
Security And Privacy ◽  
Light Weight ◽  
Geometric Information ◽  
Fingerprint Image ◽  
Privacy Threats ◽  
Frequent Use ◽  
Biometric Systems ◽  
Authentication Schemes ◽  
Low Performance

In certain applications, fingerprint authentication systems require templates to be stored in databases. The possible leakage of these fingerprint templates can lead to serious security and privacy threats. Therefore, with the frequent use of fingerprint authentication on mobile devices, it has become increasingly important to keep fingerprint data safe. Due to rapid developments in optical equipment, biometric systems are now able to gain the same biometric images repeatedly, so strong features can be selected with precision. Strong features refer to high-quality features which can be easily distinguished from other features in biometric raw images. In this paper, we introduce an algorithm that identifies these strong features with certain probability from a given fingerprint image. Once values are extracted from these features, they are used as the authentication data. Using the geometric information of these strong features, a cancelable fingerprint template can be produced, and the process of extracting values and geometric information is further explained. Because this is a light-weight authentication scheme, this template has practical usage for low performance mobile devices. Finally, we demonstrate that our proposed schemes are secure and that the user’s biometric raw data of the fingerprint are safe, even when the mobile device is lost or stolen.

Phishing in Mobile Devices: Survey and Prevention Mechanism

2012 ◽  
Vol 2 (3) ◽  
pp. 86-88
Author(s):  
Dr. Kuntal Patel ◽  
◽  
Prof. Parimal Patel
Keyword(s):  
Mobile Devices

SINH TỰ ĐỘNG TRIGGER TRÊN NGÔN NGỮ T-SQL HỖ TRỢ ANCHOR MODELING TRONG SQL SERVER

2017 ◽  
Author(s):  
Nguyễn Trần Quốc Vinh ◽  
Huỳnh Xuân Hiệp ◽  
Trần Đăng Hưng ◽  
Hoàng Ngọc Hiển ◽  
Nguyễn Văn Vương
Keyword(s):  
Sql Server

Design and Feasibility Study: Customized Virtual Buttons for Electronic Mobile Devices

2019 ◽  
Vol E102.A (4) ◽  
pp. 668-671
Author(s):  
Seungtaek SONG ◽  
Namhyun KIM ◽  
Sungkil LEE ◽  
Joyce Jiyoung WHANG ◽  
Jinkyu LEE
Keyword(s):  
Mobile Devices ◽  
Feasibility Study
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