Paper Details

Name: Richa Dhiman, Rishabh Katiyar, Muskan Rawat, Abhiroop Singh, Vansh Rawat & Anirudh Singh
Country: India

Year: 2026
Volume: Volume No: 13, January, Year: 2026 (Special Issue)
Page Number: 740-749
DOI: https://doi.org/10.5281/zenodo.19109649

ABSTRACT—
Dark patterns include a set of design signals coming from a website or an application, which control the consumer’s choices in a waythat the consumer is not aware of or did not consent to the manipulation. [1] Some of these tactics have been seen to capitalize on people’s feelings and thoughts to make them perform undesired actions for instance making unnecessary purchases, signing up for unnecessary services or putting out personal details. Packet Capturing: This technique pays out well in the identification of ways that there is intercepting of the networkpackets and their analysis. Sneaking a peek through the internet’s packetsof data would make one realize the use of
dark patterns [2]. Following is a discussion on the utilization, as an identification and solution technique, of packet capturing as a means of identifying dark patterns. This research will discuss type of dark patterns out there, what a victim potentially stands to suffer from. This study will present a suggested solution in relation to packet capture approaches that will address the need to educate the user alongside the use of machine learning and dataanalysis.

Keywords—Prognostication, Multivariate time series, price salecorrelation, parameterized prognosticator.