Login Security Using One Time Password (OTP) Application with Encryption Algorithm Performance

Abstract

During the Covid-19 pandemic, almost all jobs and activities to be limited, relying on the internet network. Data security in an internet network is most important and needs to be a concern for internet users. The internet network is a public network, which is vulnerable to security attacks. Attacks may occur to retrieve user data in the form of a username and password. This study conducts system design to improve the security of the username and password data when logging into web applications. Login using One-Time Password (OTP) verification by implementing the AES algorithm and Blowfish to encrypt the verification code. The verification code uses an SMS gateway. Testing is done by looking at security performances and comparing the performance of the Blowfish and AES algorithm. The results of the design research show that OTP is running well where the AES algorithm performance has advantages in terms of encryption and decryption speed compared to the Blowfish algorithm with a difference of ± 0.015 milliseconds for encryption and ± 0.04 milliseconds for decryption.

Application Research of Data Encryption Technology in Computer Network Information Security

“…e method of filling is as follows: fill a 1 and countless after the information. Do not stop filling information with 0 until the above conditions are met [12].…”

Challenges and Opportunities in Password Management: A Review of Current Solutions

“…They also presented that the overall performance score of password and biometric combination outranks all other authentication schemes individually or combined in security, usability, and deployability wise. Kurniawan et al (2021) proposed a methodology for user authentication through the One-Time Password (OTP) system which employs AES and Blowfish algorithms to finetune the performance and security of the existing OTP authentication approach. They presented that 13.6% of survey participants positively responded to password sharing among others and 9.9% of account hacking events.…”

Investigating the Avalanche Effect of Various Cryptographically Secure Hash Functions and Hash-Based Applications

“…We reviewed various publications [20], [21], [22], [23], [24], [25] that assess the performance of various encryption techniques by analysing the prevalence of Avalanche effect. These techniques primarily include symmetric key ciphers such as Advanced Encryption Standard (AES) [20], [21], [22], [23], Data Encryption Standard (DES) [21], [24], Twofish [21] and Blowfish [21], [22].…”

“…We reviewed various publications [20], [21], [22], [23], [24], [25] that assess the performance of various encryption techniques by analysing the prevalence of Avalanche effect. These techniques primarily include symmetric key ciphers such as Advanced Encryption Standard (AES) [20], [21], [22], [23], Data Encryption Standard (DES) [21], [24], Twofish [21] and Blowfish [21], [22]. Vadaviya and Tandel [25] described the importance of the Avalanche effect in determining the strength of various cryptographic schemes and hash functions, assessed the exhibition of the Avalanche effect by AES and proposed an algorithm that involves a relatively stronger impact of the Avalanche effect [25].…”