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A heuristics for HTTP traffic identification in measuring user dissimilarity

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Publicado en:Human-Intelligent Systems Integration vol. 2, no. 1-4 (Dec 2020), p. 17
Autor principal: Ikuesan, Adeyemi R.
Otros Autores: Salleh, Mazleena, Venter, Hein S., Razak, Shukor Abd, Furnell, Steven M.
Publicado:
Springer Nature B.V.
Materias:
Units of measurement
User behavior
Internet
Algorithms
Identification
Communications traffic
Privacy
Web browsers
Problem solving
Complexity
Automation
Heuristic
User profiles
Heuristic methods
Computer programming
Acceso en línea:Citation/Abstract
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Resumen:The prevalence of HTTP web traffic on the Internet has long transcended the layer 7 classification, to layers such as layer 5 of the OSI model stack. This coupled with the integration-diversity of other layers and application layer protocols has made identification of user-initiated HTTP web traffic complex, thus increasing user anonymity on the Internet. This study reveals that, with the current complex nature of Internet and HTTP traffic, browser complexity, dynamic web programming structure, the surge in network delay, and unstable user behavior in network interaction, user-initiated requests can be accurately determined. The study utilizes HTTP request method of GET filtering, to develop a heuristic algorithm to identify user-initiated requests. The algorithm was experimentally tested on a group of users, to ascertain the certainty of identifying user-initiated requests. The result demonstrates that user-initiated HTTP requests can be reliably identified with a recall rate at 0.94 and F-measure at 0.969. Additionally, this study extends the paradigm of user identification based on the intrinsic characteristics of users, exhibited in network traffic. The application of these research findings finds relevance in user identification for insider investigation, e-commerce, and e-learning system as well as in network planning and management. Further, the findings from the study are relevant in web usage mining, where user-initiated action comprises the fundamental unit of measurement.
ISSN:2524-4876
2524-4884
DOI:10.1007/s42454-020-00010-2
Fuente:Advanced Technologies & Aerospace Database