Evidence map›Paper›PMID 34770571›Full record

ArticleSensors (Basel, Switzerland)2021

Cognitive Based Authentication Protocol for Distributed Data and Web Technologies.

Natalia Krzyworzeka, Lidia Ogiela, Marek R Ogiela

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Cognitive CAPTCHA Password Reminder.Sensors (Basel, Switzerland) · 2023
    Article
  2. New Cognitive Deep-Learning CAPTCHA.Sensors (Basel, Switzerland) · 2023
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Natalia KrzyworzekaAGH University of Science and Technology, 30 Mickiewicza Ave., PL-30-059 Kraków, Poland.
Lidia OgielaPedagogical University of Krakow, Podchorążych 2 Street, PL-30-084 Kraków, Poland.
Marek R OgielaAGH University of Science and Technology, 30 Mickiewicza Ave., PL-30-059 Kraków, Poland.ORCID 0000-0002-8298-8627

Funding

AGH University of Science and Technology 16.16.120.773Pedagogical University of Kraków BN.711-78/PBU/2021
6 · The paper itself

Abstract

The objective of the verification process, besides guaranteeing security, is also to be effective and robust. This means that the login should take as little time as possible, and each time allow for a successful authentication of the authorised account. In recent years, however, online users have been experiencing more and more issues with recalling their own passwords on the spot. According to research done in 2017 by LastPass on its employees, the number of personal accounts assigned to one business user currently exceeds 191 profiles and keeps growing. Remembering these many passwords, especially to applications which are not used every week, seems to be impossible without storing them either on paper, in a password manager, or saved in a file somewhere on a PC. In this article a new verification model using a Google Street View image as well as the user's personal experience and knowledge will be presented. The purpose of this scheme is to assure secure verification by creating longer passwords as well as delivering a 'password reminder' already embedded into the login scheme.

Indexed as

Computer SecurityTelemedicineCognitionConfidentialitycognitive processeslogin schemepassword reminderpersonal CAPTCHAvisual CAPTCHA

Identifiers

PMID34770571
PMCPMC8587779

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.