Security of Password Hashing in Cloud

Kamal, Parves

doi:10.4236/jis.2019.102003

Cited by 4 publications

(2 citation statements)

References 18 publications

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“…One of the major questions which arise when a common solution is devised is the security as well as the parallel use-case for the solution. The proposed solution has security intact because the authentication factor uses the in-built Django module for authentication where the passwords are stored in hashed formats rather than plaintext [25]. The parallel use-case scenario is dealt with on the basis of having class schedule-based executions of the solution i.e.…”

Section: Algorithmmentioning

confidence: 99%

Computer Vision Based Parking Optimization System

Chandrasekaran¹,

Reginald²,

Wang³

et al. 2022

Preprint

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An improvement in technology is linearly related to time and time-relevant problems. It has been seen that as time progresses, the number of problems humans face also increases. However, technology to resolve these problems tends to improve as well [1]. One of the earliest existing problems which started with the invention of vehicles was parking. The ease of resolving this problem using technology has evolved over the years but the problem of parking still remains unsolved. The main reason behind this is that parking doesn't only involve one problem but it consists of a set of problems within itself. One of these problems is the occupancy detection of the parking slots in a distributed parking ecosystem. In a distributed system, users would find preferable parking spaces as opposed to random parking spaces. In this paper, we propose a web-based application as a solution for parking space detection in different parking spaces. The solution is based on Computer Vision (CV) [2] [3] and is built using the Django framework written in Python 3.0. The solution works to resolve the occupancy detection problem along with providing the user the option to determine the block based on availability and his preference. The evaluation results for our proposed system are promising and efficient. The proposed system can also be integrated with different systems and be used for solving other relevant parking problems.

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Section: Algorithmmentioning

confidence: 99%

Computer Vision Based Parking Optimization System

Chandrasekaran¹,

Reginald²,

Wang³

et al. 2022

Preprint

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“…Storing passwords in cleartext poses a high security risk as attackers upon compromising the system could learn not only the passwords, but the password choosing patterns of individuals [6]. A possible mitigation is to only store the hash of the password [7]. Recovering the cleartext from a hash digest is very resource intensive and is often infeasible with sufficiently long and complex passwords.…”

Section: Introductionmentioning

confidence: 99%

The Theory and Practice of Magic Hash Based Attacks on Lightweight Cryptographic Hash Functions in Complex IoT Environments

Tihanyi

Borsos

2021

Security, Privacy, and Anonymity in Computation, Communication, and Storage

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Analysis Performance BCRYPT Algorithm to Improve Password Security from Brute Force

Batubara

Efendi

Nababan

2021

J. Phys.: Conf. Ser.

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The Bcrypt algorithm is a hashing function created from the Blowfish Algorithm by two computer security researchers, Niels Provos and David Mazieres. This hashing function has several advantages, using the original random salt (the salt is the order in which it is added to the password to make it harder to bruteforce). Random salts also prevent lookup table creation. On this basis, the authors try to do a Brute Force experiment on plaintext that has been encrypted by the Bcrypt Algorithm based on 3 characters, namely alphabetic characters, numeric characters and mixed characters to see the security results of the Bcrypt Algorithm. From the results of tests conducted, the alphabetic character with a total of 4 characters can be returned to the original plaintext within 4 days while if the number of 5 characters cannot be found the original plaintext. Then the numeric characters with a total of 7 characters can be found in the original plaintext within 10 hours. Meanwhile, for mixed characters with a total of 7 characters, the original plaintext cannot be found within 5 days. The results of this study indicate that the security performance of the Bcrypt Algorithm is very good in warding off Brute Force attacks for mixed characters while the numeric and alphabetic characters are not good enough.

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Security of Password Hashing in Cloud

Cited by 4 publications

References 18 publications

Computer Vision Based Parking Optimization System

Computer Vision Based Parking Optimization System

The Theory and Practice of Magic Hash Based Attacks on Lightweight Cryptographic Hash Functions in Complex IoT Environments

Analysis Performance BCRYPT Algorithm to Improve Password Security from Brute Force

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