LBCLCT: Location Based Cross Language Cipher Technique

Gupta, Vishal; Johari, Rahul; Gupta, Kalpana; Bhatia, Richa; Seth, Samridhi

doi:10.1007/978-3-030-14718-1_11

Cited by 3 publications

(1 citation statement)

References 16 publications

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“…In [35], the author(s) compared two cryptography techniques in the user's data verification in a credit card-based mobile bill payment application. This paper is an extension of the work done in [34].…”

Section: Cryptographymentioning

confidence: 99%

RETRACTED: Modeling Cloud-Oriented Cryptographic Techniques inCloudSim for Comparative Analysis

Sanger,

Johari

2024

Preprint

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Cloud technology is essential for modern businesses, revolutionizing IT by overcoming traditionaldata processing limitations. However, security concerns, especially with increasing cloud attacks,pose a significant challenge to the potential benefits of cloud computing. This article explores thefundamentals and models of Cloud Computing, shedding light on the critical issue of security inthis evolving landscape. This study examines the usage of CloudSim, a cost-free and open-sourceprogramme, for the purpose of simulating and comparing secure cryptographic encryption methods.We propose two novel methodologies: Geometrical Cryptography Technique (GCT) and CircularCryptographic Technique (CCT). Both methodologies are simulated and executed using CloudSim,enabling a regulated and repeatable comparison across different performance measures. We assessboth strategies by considering criteria such as code length, space complexity, and time complexity. The findings indicate positive results for both GCT and CCT , presenting encouraging possibilities for further investigation andadvancement in secure communication systems based on cloud computing. This study complements tothe current discussion about strengthening security measures in cloud computing settings, providingsignificant insights on the viability and efficacy of various cryptographic methods for protecting thetransmission of resource allocation requests.

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Section: Cryptographymentioning

confidence: 99%

RETRACTED: Modeling Cloud-Oriented Cryptographic Techniques inCloudSim for Comparative Analysis

Sanger,

Johari

2024

Preprint

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Security Algorithms for Cloud Based Applications

Shaheen

Siddiqui

2019

Sustainable Communication Networks and Application

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S2NOW: Secure Social Network Ontology Using WhatsApp

Johari

Kalra

Dahiya

et al. 2021

Security and Communication Networks

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Communicating and sharing the ideas and feelings between human beings form the basis of social network. With the advent of different social network tools and applications, the task of networking between people has reached to next level, crossing bridges and boundaries. However, is there a connection or linkage between the frequent and sometime just random exchange of text messages between people using social network-based tools and applications and also are these messages secure? Or are they vulnerable to threat and attacks? Literature survey shows that very little work has been done in this direction. With this intention, in the current research work, a real-time case study has been taken identifying the creation of the social network between a group of persons who frequently chat using the WhatsApp Messenger application based on their common hobbies, choices, and areas of interest and applying cryptographic techniques to ensure the security of data (chats). The proposed study uses the Caesar Cipher Cryptographic Technique and newly proposed Block Quadra Crypto Technique for encrypting the chats and showcases a comparison between the two techniques. The results are encouraging and exceed the expectation.

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LBCLCT: Location Based Cross Language Cipher Technique

Cited by 3 publications

References 16 publications

RETRACTED: Modeling Cloud-Oriented Cryptographic Techniques inCloudSim for Comparative Analysis

RETRACTED: Modeling Cloud-Oriented Cryptographic Techniques inCloudSim for Comparative Analysis

Security Algorithms for Cloud Based Applications

S2NOW: Secure Social Network Ontology Using WhatsApp

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