Privacy-aware detection framework to mitigate new-age phishing attacks

Bhardwaj, Akashdeep; Al‐Turjman, Fadi; Sapra, Varun; Kumar, Manoj; Stephan, Thompson

doi:10.1016/j.compeleceng.2021.107546

Cited by 14 publications

(8 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…e user interfaces are divided into four sections, including the account page, home page, election page, and message page. In addition to the fragment page, it also includes separate pages for login, registration, and elections [6]. Android Studio is used to create this application.…”

Section: Resultsmentioning

confidence: 99%

“…e one-time password can only be given to a user three times each day. ere will not be a one-time password given to the user's phone number if it is used more than 3 times [6].…”

Section: Election Interfacementioning

confidence: 99%

“…Based on the fingerprint of the user's device, fingerprint authentication is employed. To use fingerprint authentication, a user must enable their fingerprint on their own device [6].…”

Section: Election Interfacementioning

confidence: 99%

See 2 more Smart Citations

Development of an Efficient and Secured E-Voting Mobile Application Using Android

Sherine

Peter²,

Stonier³

et al. 2022

Mobile Information Systems

View full text Add to dashboard Cite

Smart technologies, particularly the development of the Internet, are employed to enhance the quality of human existence. Thanks to the Internet’s explosive expansion, more and more tasks can now be completed quickly and easily compared to the earlier times. E-voting is a relatively recent field that has been identified. Voting can be conducted in a variety of methods, including in person at a polling place, online, and via a mobile application. The security of applications cannot be disregarded given the internet’s explosive growth. In order to prevent phishing attacks, we created an Android application and included a 3-step security process before voting. Students can now vote online from any location at any time using a mobile device. Android Studio is used to create and deploy the application. While creating the voting application, this research adheres to the software development life cycle. The result of this research is the creation of a mobile application that is user-friendly for students and serves as a practical tool for letting them vote with three levels of security.

show abstract

Section: Resultsmentioning

confidence: 99%

“…e one-time password can only be given to a user three times each day. ere will not be a one-time password given to the user's phone number if it is used more than 3 times [6].…”

Section: Election Interfacementioning

confidence: 99%

See 1 more Smart Citation

Development of an Efficient and Secured E-Voting Mobile Application Using Android

Sherine

Peter²,

Stonier³

et al. 2022

Mobile Information Systems

View full text Add to dashboard Cite

show abstract

“…Biometric tasks based on deep neural networks have widespread applications in the field of access control. In a single modality, research on biometric tasks includes face recognition, 1–3 speaker recognition, 4–6 and other tasks concerning the identification of persons 7–9 . With the development of cross‐modal research, 10–13 matching between the voice and face has become an increasingly popular biometric task in recent years.…”

Section: Introductionmentioning

confidence: 99%

“…In a single modality, research on biometric tasks includes face recognition, [1][2][3] speaker recognition, [4][5][6] and other tasks concerning the identification of persons. [7][8][9] With the development of cross-modal research, [10][11][12][13] matching between the voice and face has become an increasingly popular biometric task in recent years. It aims to solve the problem of matching the speaker's voice to the face.…”

Section: Introductionmentioning

confidence: 99%

Can you trust what you hear: Effects of audio‐attacks on voice‐to‐face generation system

Chen

Zhu

Zhao

et al. 2022

Int J of Intelligent Sys

View full text Add to dashboard Cite

Owing to the widespread deployment of face and speaker recognition systems, research on attacks on neural‐network‐based biometric systems, which involves face or voice signal classification problems with a low‐dimensional output vector, has drawn increasing attention. Recently, cross‐modal voice‐to‐face (VTF) systems have learned to generate faces from voices by matching several biometric characteristics of the generated faces to those of speakers. However, attacks focusing on VTF systems with high‐dimensional face image outputs have not yet been conducted. In this paper, we introduce various adversarial attack methods for the VTF system under different attack conditions. These methods can generate a fake face close to the target face or far from the original face, by adding subtle perturbations to the original voice. Under the white‐box setting, we formulate a multiobjective optimization to generate target faces and improve the imperceptibility of the adversarial sample. Further a stepwise iterative optimization strategy is proposed to achieve faster and more effective attacks. Finally, the results of comparative experiments with various methods are demonstrated. Under the black‐box setting, the adversarial samples generated from surrogate models are able to generate the fake face far from the original one. Qualitative and quantitative experimental results show the high target face‐matching rate and irrelevance to the original face, as well as the imperceptibility of the adversarial audio. This study provides useful insights for privacy protection and improving generation robustness for information security.

show abstract

A Review on Geo-location-Based Authentication with Various Lossless Compression Techniques

Kumar

Singh

2023

Lecture Notes in Electrical Engineering

View full text Add to dashboard Cite

Privacy-aware detection framework to mitigate new-age phishing attacks

Cited by 14 publications

References 7 publications

Development of an Efficient and Secured E-Voting Mobile Application Using Android

Development of an Efficient and Secured E-Voting Mobile Application Using Android

Can you trust what you hear: Effects of audio‐attacks on voice‐to‐face generation system

A Review on Geo-location-Based Authentication with Various Lossless Compression Techniques

Contact Info

Product

Resources

About