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Evercookie information


'Tor Stinks' NSA presentation

Evercookie (also known as supercookie[1]) is a JavaScript application programming interface (API) that identifies and reproduces intentionally deleted cookies on the clients' browser storage.[2] It was created by Samy Kamkar in 2010 to demonstrate the possible infiltration from the websites that use respawning.[3] Websites that have adopted this mechanism can identify users even if they attempt to delete the previously stored cookies.[4]

In 2013, Edward Snowden leaked a top-secret NSA document that showed Evercookie can track Tor (anonymity networks) users.[5] Many popular companies use functionality similar to Evercookie to collect user information and track users.[1][6] Further research on fingerprinting and search engines also draws inspiration from Evercookie's ability to track a user persistently.[4][5][7]

  1. ^ a b Bujlow, Tomasz; Carela-Espanol, Valentin; Lee, Beom-Ryeol; Barlet-Ros, Pere (2017). "A Survey on Web Tracking: Mechanisms, Implications, and Defenses". Proceedings of the IEEE. 105 (8): 1476–1510. doi:10.1109/jproc.2016.2637878. hdl:2117/108437. ISSN 0018-9219. S2CID 2662250.
  2. ^ Acar, Gunes; Eubank, Christian; Englehardt, Steven; Juarez, Marc; Narayanan, Arvind; Diaz, Claudia (2014). "The Web Never Forgets". Proceedings of the 2014 ACM SIGSAC Conference on Computer and Communications Security. New York, New York, USA: ACM Press. pp. 674–689. doi:10.1145/2660267.2660347. ISBN 978-1-4503-2957-6. S2CID 8127620.
  3. ^ Bashir, Muhammad Ahmad; Wilson, Christo (2018-10-01). "Diffusion of User Tracking Data in the Online Advertising Ecosystem". Proceedings on Privacy Enhancing Technologies. 2018 (4): 85–103. doi:10.1515/popets-2018-0033. ISSN 2299-0984. S2CID 52088002.
  4. ^ a b Kramár, Tomáš; Barla, Michal; Bieliková, Mária (2013-02-01). "Personalizing search using socially enhanced interest model, built from the stream of user's activity". Journal of Web Engineering. 12 (1–2): 65–92. ISSN 1540-9589.
  5. ^ a b Kobusińska, Anna; Pawluczuk, Kamil; Brzeziński, Jerzy (2018). "Big Data fingerprinting information analytics for sustainability". Future Generation Computer Systems. 86: 1321–1337. doi:10.1016/j.future.2017.12.061. ISSN 0167-739X. S2CID 49646910.
  6. ^ Koop, Martin; Tews, Erik; Katzenbeisser, Stefan (2020-10-01). "In-Depth Evaluation of Redirect Tracking and Link Usage". Proceedings on Privacy Enhancing Technologies. 2020 (4): 394–413. doi:10.2478/popets-2020-0079. ISSN 2299-0984.
  7. ^ Al-Fannah, Nasser Mohammed; Mitchell, Chris (2020-01-07). "Too little too late: can we control browser fingerprinting?". Journal of Intellectual Capital. 21 (2): 165–180. doi:10.1108/jic-04-2019-0067. ISSN 1469-1930. S2CID 212957853.

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