A framework for identifying the linkability between Web servers for enhanced internet computing and E-commerce. Issue 1 (December 2017)

• Record Type: Journal Article
• Authors: Artail, Hassan; El Halabi, Ammar; Hachem, Ali; Al-Akhrass, Louay
• Is Part Of: Journal of internet services and applications. Volume 8:Issue 1(2017)
• Page Start: 1
• Page End: 19
• Publication Date: 2017-12
• Subjects: Web server collaboration -- Session tracking -- Web mining -- Clickstream -- e-commerce; TCP/IP (Computer network protocol) -- Periodicals; Internet -- Periodicals; Internet -- Security measures -- Periodicals; 004.678
• DOI: 10.1186/s13174-016-0053-9
• Languages: English
• ISSNs: 1867-4828

Abstract

Abstract Existing Web session tracking techniques mainly work on huge web server log files, which limit their dynamicity and capability. We present a collaborative method for session tracking to identify direct and indirect web server interactions. The outcome could lead to building partnerships between organizations that do e-business, adapting links on websites to user click behavior, and deciding on the particular services offered by websites. We implemented a prototype that showed the usefulness and effectiveness of the system. We describe the significance and applications of our approach in e-commerce through information that describes traffic flows between websites.