EYEDi: Graphical Authentication Scheme of Estimating Your Encodable Distorted Images to Prevent Screenshot Attacks

Kawamura, Takayuki; Ebihara, Tadashi; Wakatsuki, Naoto; Zempo, Keiichi

doi:10.1109/access.2021.3138093

Cited by 7 publications

(3 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Among these, [37] had the fastest login time, followed by [27], whereas the method in [49] had the slowest login time. The method in [39] had the longest maximum login time. Regarding the mean login time, [33] outperformed most of the other methods.…”

Section: Rq4: How Effective Are the Selected Recognition-based Method...mentioning

confidence: 99%

“…An overview of the pass-objects used in the selected schemes is presented in Table 3 below. As indicated in Table 4, the authentication schemes proposed in [28,29,31,34,[38][39][40][41][42][43]47,[49][50][51] require the users to login with only the registered objects as the pass-objects during the authentication process. The schemes developed by Por et al [27] and Othman et al [30] are the two methods that permit the use of only decoy objects.…”

Section: Rq2 What Pass-objects Are Used For Authentication In These M...mentioning

confidence: 99%

See 1 more Smart Citation

Systemic Literature Review of Recognition-Based Authentication Method Resistivity to Shoulder-Surfing Attacks

Adebimpe,

Ng,

Idris

et al. 2023

Applied Sciences

View full text Add to dashboard Cite

The rapid advancement of information technology (IT) has given rise to a new era of efficient and fast communication and transactions. However, the increasing adoption of and reliance on IT has led to the exposure of personal and sensitive information online. Safeguarding this information against unauthorized access remains a persistent challenge, necessitating the implementation of improved computer security measures. The core objective of computer security is to ensure the confidentiality, availability, and integrity of data and services. Among the mechanisms developed to counter security threats, authentication stands out as a pivotal defense strategy. Graphical passwords have emerged as a popular authentication approach, yet they face vulnerability to shoulder-surfing attacks, wherein an attacker can clandestinely observe a victim’s actions. Shoulder-surfing attacks present a significant security challenge within the realm of graphical password authentication. These attacks occur when an unauthorized individual covertly observes the authentication process of a legitimate user by shoulder surfing the user or capturing the interaction through a video recording. In response to this challenge, various methods have been proposed to thwart shoulder-surfing attacks, each with distinct advantages and limitations. This study thus centers on reviewing the resilience of existing recognition-based graphical password techniques against shoulder-surfing attacks by conducting a comprehensive examination and evaluation of their benefits, strengths, and weaknesses. The evaluation process entailed accessing pertinent academic resources through renowned search engines, including Web of Science, Science Direct, IEEE Xplore, ProQuest, Scopus, Springer, Wiley Online Library, and EBSCO. The selection criteria were carefully designed to prioritize studies that focused on recognition-based graphical password methods. Through this rigorous approach, 28 studies were identified and subjected to a thorough review. The results show that fourteen of them adopted registered objects as pass-objects, bolstering security through object recognition. Additionally, two methods employed decoy objects as pass-objects, enhancing obfuscation. Notably, one technique harnessed both registered and decoy objects, amplifying the security paradigm. The results also showed that recognition-based graphical password techniques varied in their resistance to different types of shoulder-surfing attacks. Some methods were effective in preventing direct observation attacks, while others were vulnerable to video-recorded and multiple-observation attacks. This vulnerability emerged due to attackers potentially extracting key information by analyzing user interaction patterns in each challenge set. Notably, one method stood out as an exception, demonstrating resilience against all three types of shoulder-surfing attacks. In conclusion, this study contributes to a comprehensive understanding of the efficacy of recognition-based graphical password methods in countering shoulder-surfing attacks by analyzing the diverse strategies employed by these methods and revealing their strengths and weaknesses.

show abstract

Section: Rq4: How Effective Are the Selected Recognition-based Method...mentioning

confidence: 99%

Section: Rq2 What Pass-objects Are Used For Authentication In These M...mentioning

confidence: 99%

Systemic Literature Review of Recognition-Based Authentication Method Resistivity to Shoulder-Surfing Attacks

Adebimpe,

Ng,

Idris

et al. 2023

Applied Sciences

View full text Add to dashboard Cite

show abstract

“…In a video-recording attack, a hacker only requires a device with a camera to record the user while they enter their password [25]. The hacker can then replay the video to retrieve the password.…”

Section: Rq1: What Are the Existing Security Attacks On Graphical Pas...mentioning

confidence: 99%

A Systematic Literature Review on the Security Attacks and Countermeasures Used in Graphical Passwords

Por,

Ng,

Chen

et al. 2024

IEEE Access

View full text Add to dashboard Cite

As technology continues to evolve, the need for robust and user-friendly authentication methods becomes increasingly vital to safeguarding sensitive information. Graphical passwords, a contemporary approach to authentication, utilize images, patterns, or graphical elements as a means of access control. This systematic literature review delves into the dynamic realm of graphical passwords, focusing on the myriad security attacks they face, and the diverse countermeasures devised to mitigate these threats. The graphical password scheme is one of the most popular schemes used, yet it is vulnerable to numerous security attacks, such as shoulder surfing attacks, smudge attacks, spyware, and more. In order to mitigate these security threats, numerous methods have been proposed, but there is no ultimate solution for the security attacks; each of the proposed methods has its own advantages and limitations. The core objective of this paper is to identify existing security threats to graphical password schemes and the corresponding countermeasures developed to mitigate these attacks. The study process begins by identifying the usable databases and search engines to identify all the relevant resources. These include Academic Search Elite @EBSCOhost,

show abstract

PAAI: Password Authentication Using AI

Huang,

Pal

2023

2023 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE)

View full text Add to dashboard Cite

EYEDi: Graphical Authentication Scheme of Estimating Your Encodable Distorted Images to Prevent Screenshot Attacks

Abstract: under Application No. 2020R445, and performed in line with the Helsinki.

Cited by 7 publications

References 36 publications

Systemic Literature Review of Recognition-Based Authentication Method Resistivity to Shoulder-Surfing Attacks

Systemic Literature Review of Recognition-Based Authentication Method Resistivity to Shoulder-Surfing Attacks

A Systematic Literature Review on the Security Attacks and Countermeasures Used in Graphical Passwords

PAAI: Password Authentication Using AI

Contact Info

Product

Resources

About