Busting Dark Patterns using Packet Capturing
Dark patterns include a set of design signals coming from a website or an application, which control the consumer's choices in a way that the consumer is not aware of or did not consent to the manipulation.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 network packets and their analysis.Sneaking a peek through the internet's packets of 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 data analysis.
Authors
- Richa Dhiman
- Meenakshi Rawat (ORCID: https://orcid.org/0000-0002-8427-1662)
- Abhiroop Singh
- R. K. Katiyar
- Anirudh Singh (ORCID: https://orcid.org/0009-0003-5810-9682)
- V Rawat
Institutions
- Chandigarh University (IN)
Publication Details
- Journal
- International Journal of Research Publication and Reviews
- Published
- 2025-05-01
- DOI
- https://doi.org/10.55248/gengpi.6.sp525.1961
- Primary Topic
- Algorithms and Data Compression
- Type
- article
- Field-Weighted Citation Impact
- 0.00