Evidence map›Paper›PMID 39943360›Full record

ReviewSensors (Basel, Switzerland)2025

A Review on Secure Authentication Mechanisms for Mobile Security.

Syed Shabih Ul Hasan, Anwar Ghani, Ali Daud, Habib Akbar, Muhammad Faizan Khan

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Syed Shabih Ul HasanDepartment of Information Technology, The University of Haripur, Haripur 22620, Pakistan.ORCID 0000-0001-5854-4973
Anwar GhaniDepartment of Computer Science, International Islamic University Islamabad, Islamabad 44000, Pakistan.ORCID 0000-0001-7474-0405
Ali DaudFaculty of Resilience, Rabdan Academy, Abu Dhabi 114646, United Arab Emirates.
Habib AkbarDepartment of Information Technology, The University of Haripur, Haripur 22620, Pakistan.
Muhammad Faizan KhanSchool of Computer Science & Cyber Engineering, Guangzhou University, Guangzhou 510006, China.ORCID 0000-0003-1232-7054

Funding

National Natural Science Foundation of China W2433158
6 · The paper itself

Abstract

Cybersecurity, complimenting authentication, has become the backbone of the Internet of Things. In the authentication process, the word authentication is of the utmost importance, as it is the door through which both Mr. Right Guy and Mr. Wrong Guy can pass. It is the key to opening the most important and secure accounts worldwide. When authentication is complete, surely there will be passwords. Passwords are a brain-confusing option for the user to choose when making an account during the registration/sign-up process. Providing reliable, effective, and privacy-preserving authentication for individuals in mobile networks is challenging due to user mobility, many attack vectors, and resource-constrained devices. This review paper explores the transformation and modern mobile authentication schemes, categorizing them into password, graphical, behavioral, keystroke, biometric, touchscreen, color, and gaze-based methodologies. It aims to examine the strengths and limitations focused on challenges like security and usability. Standard datasets and performance evaluation measures are also discussed. Finally, research gaps and future directions in this essential and emerging area of research are discussed.

Indexed as

authentication schemescybersecuritymobile securitypassword attackssecure passwordsthreats

Identifiers

PMID39943360
PMCPMC11820671

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.