Change search
ReferencesLink to record
Permanent link

Direct link
Secure Identification in Social Wireless Networks
swin.
RISE, Swedish ICT, SICS. School of Computing.
Number of Authors: 2
2011 (English)Independent thesis Advanced level (degree of Master (Two Years))Student thesis
Abstract [en]

The applications based on social networking have brought revolution towards social life and are continuously gaining popularity among the Internet users. Due to the advanced computational resources offered by the innovative hardware and nominal subscriber charges of network operators, most of the online social networks are transforming into the mobile domain by offering exciting applications and games exclusively designed for users on the go. Moreover, the mobile devices are considered more personal as compared to their desktop rivals, so there is a tendency among the mobile users to store sensitive data like contacts, passwords, bank account details, updated calendar entries with key dates and personal notes on their devices. The Project Social Wireless Network Secure Identification (SWIN) is carried out at Swedish Institute of Computer Science (SICS) to explore the practicality of providing the secure mobile social networking portal with advanced security features to tackle potential security threats by extending the existing methods with more innovative security technologies. In addition to the extensive background study and the determination of marketable use-cases with their corresponding security requirements, this thesis proposes a secure identification design to satisfy the security dimensions for both online and offline peers. We have implemented an initial prototype using PHP Socket and OpenSSL library to simulate the secure identification procedure based on the proposed design. The design is in compliance with 3GPP‟s Generic Authentication Architecture (GAA) and our implementation has demonstrated the flexibility of the solution to be applied independently for the applications requiring secure identification. Finally, the thesis provides strong foundation for the advanced implementation on mobile platform in future.

Place, publisher, year, edition, pages
2011, 13.
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:ri:diva-23860OAI: oai:DiVA.org:ri-23860DiVA: diva2:1042938
Projects
swin
Available from: 2016-10-31 Created: 2016-10-31

Open Access in DiVA

fulltext(3856 kB)1 downloads
File information
File name FULLTEXT01.pdfFile size 3856 kBChecksum SHA-512
0cdc3f7242be866e1ebf3765003ba256f18ed00f93df53c291100b00d41427105f806296146cfc798ad88b427b6645de1dbc70260feed0e09bf304ad1d9b17ba
Type fulltextMimetype application/pdf

By organisation
SICS
Computer and Information Science

Search outside of DiVA

GoogleGoogle Scholar
Total: 1 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

ReferencesLink to record
Permanent link

Direct link