Innovative Methodologies for Mobile Security and Cryptography

Now a day’s mobile communication has become a serious business tool for the users. Mobile devices are mainly used for the applications like banking, e-commerce, internet access, entertainment, etc. for communication. This has become common for the user to exchange and transfer the data. However people are still facing problems to use mobile devices because of its security issue. This paper deals with various security issues in mobile computing. It also covers all the basic points which are useful in mobile security issues such as categorisation of security issues, methods or tactics for success in security issues in mobile computing, security frameworks.

Download Full-text

IGuard: Mobile Security Guard System With Infrared Biosensor And Google Glass

Bioscience Biotechnology Research Communications ◽

10.21786/bbrc/12.2/16 ◽

2019 ◽

Vol 12 (2) ◽

pp. 333-337

Author(s):

Ghada Alhudhud ◽

Duaa H Alsaeed ◽

Heyam 1, ◽

Abeer S Al-Humaimeedy ◽

Isra Al-Turaiki

Keyword(s):

Mobile Security ◽

Google Glass ◽

Security Guard

Download Full-text

Software reviews: Mobile security

Engineering & Technology ◽

10.1049/et.2012.0932 ◽

2012 ◽

Vol 7 (9) ◽

pp. 102-103

Keyword(s):

Mobile Security ◽

Software Reviews

Download Full-text

IP Camera Based Network Video Surveillance Mobile Security System

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.411-414.1505 ◽

2013 ◽

Vol 411-414 ◽

pp. 1505-1509

Author(s):

Long Chen ◽

Shuan Chen ◽

Yu Qing He ◽

Jian Guo Wei ◽

Jian Wu Dang

Keyword(s):

Video Surveillance ◽

Depth Estimation ◽

Mobile Security ◽

Security System ◽

Camera Network ◽

Monitoring Methods ◽

Mobile Client ◽

Alarm Signal ◽

Cloud Server ◽

Ip Camera

In this paper, we proposed a mobile security system based on IP camera network video surveillance by improving the traditional monitoring methods. This system includes three parts: Android mobile client, cloud server, IP camera monitoring terminals. By setting IP cameras at 24 fps but only sending one frame each second, we can infer the situation by analyzing of the single image and reduce the amount of data transmission. User can check the live scenes and send control commands to monitoring terminal or receive the push information from the server to freely give alarm signal to users anytime, anywhere. And users can also select any regions or any specific objects to monitor, the server will real-time monitor each scene according to the specific requirements by using the algorithms of image contrast and depth estimation. The experiment results show that the system can greatly improve the accuracy of the alarm.

Download Full-text