A Model for Securing E-Banking Authentication Process: Antiphishing Approach

Martino, Antonio San; Perramon, Xavier

doi:10.1109/services-1.2008.32

Cited by 6 publications

(3 citation statements)

References 4 publications

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“…Then the samples are converted into a mathematical model, then registered with a database of data analysis that can perform to application software (Hanaek, Malinka, & Schafer, 2008;Ortiz-Yepes, 2008) . In contrast to identity verification mechanisms, the biometric feature does not rely on user memory, so it distinguishes each user(San Martino & Perramon, 2008). After the data entry process is completed, customers communicate with a live examination thanks to the technology of biological characteristics, as this examination is used to identify and confirm the customer's identity (authentication) according to the recorded calibration forms stored inside the system, and when they are identical, the system is accessed (Briggs & Olivier, 2008) The fingerprint recognition techniques rely on the analysis of data extracted from the fingerprints, and it is very dense, because the density explains why fingerprints are the most reliable means of identification.…”

Section: Authentication *mentioning

confidence: 99%

Security Risk Management in the Electronic Banking Environment: Some Evidence for Banking Systems

Algamdi¹

2020

mjrs

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The banking industry has witnessed a significant growth in the use of the Internet, and in the procurement of goods and services and electronic data exchange, which requires a secure Internet to achieve a high level of confidence with institutional customers, so banking institutions realized the importance of security and confidentiality in electronic banking operations.The research aims to answer the following question: How to reduce the security risks in the e-banking environment?. In order to achieve the objective of the research, a descriptive analytical approach was adopted and specialized research was used in the field of e-banking risk management, leading to findings and recommendations.

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Section: Authentication *mentioning

confidence: 99%

Security Risk Management in the Electronic Banking Environment: Some Evidence for Banking Systems

Algamdi¹

2020

mjrs

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“…The OTP was sent by the server to the customers during any transaction either to a mobile phone or email which is already registered to the concern bank account. If the OTP entered by the user matches, then only the bank allows the particular transaction [54]. The single password protocol (SPP) allows the customer to use the one-time password for their accounts.…”

Section: Existing Anti-phishing Approachesmentioning

confidence: 99%

Classification of Anti-phishing Solutions

Chanti

Chithralekha

2019

SN COMPUT. SCI.

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Phishing is an online fraud through which phisher gains unauthorized access to the user system to lure the personal credentials (such as username, password, credit/debit card number, validity, CVV number, and pin) for financial gain. Phishing can be carried out in many ways: through emails, phone calls, instant messages, advertisements, and popups on the website and poisoning the DNS. To protect the users from phishing, many anti-phishing toolbars/extensions had been developed. These anti-phishing tools prevent the Internet users not to fall a victim of phishing scams. No anti-phishing approach can give 100 % security. In this paper, we present a complete classification of an anti-phishing solution in algorithmic perspective. The taxonomy helps in understanding various anti-phishing approaches and algorithms developed for phishing detection. Popular anti-phishing toolbars are taken to show the media they address, mode of operation, and their pros and cons. It also provides further research gap that has to be addressed.

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“…The same authors propose a smartcard based identification protocol in [10]. Several security models aiming at phishing mitigation have been proposed [24] [25]. Basically, both solutions are limited to identifying users through the analysis of currently adopted processes and security models, being inefficient when applied to new internet banking systems.…”

Section: Related Workmentioning

confidence: 99%