On the Security of the Stream Ciphers RCR-64 and RCR-32

Joseph, Mabin; Sekar, Gautham; Balasubramanian, R.; Venkiteswaran, G.

doi:10.1093/comjnl/bxab128

Cited by 3 publications

(1 citation statement)

References 4 publications

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“…They analysis the tweets through a machine learning algorithm and compared the predictions with World2vec [16]. They designed the stream of RCR-32 and RCR-64 with calculating of probability [17] and RBJ20 [18].…”

Section: Literature Surveymentioning

confidence: 99%

A Novel Security Algorithm RPBB31 for Securing the Social Media Analyzed Data using Machine Learning Algorithms

Batcha¹,

Singaravelu

Ramachandran³

et al. 2023

Wireless Pers Commun

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The present world data is most important in public because without data cannot live in the world. This data is big data and that data daily increases through Social Media like "Twitter, Facebook, Youtube, WhatsApp, Instagram, LinkedIn", etc.., because this media only share public opinion very fast through the net. From this media, more people used especially Twitter. Thus media are used to analyze the public opinion of the tweets and predict the future through Machine Learning Algorithm. This analyzed data should make it polarity score. This score data has very little security because, this score can change the score and affected the future, so apply the existing security algorithms is Salsa and ChaCha. The Salsa algorithm is diagonal values moved to the first row. The ChaCha algorithm is diagonal values moved to the first column. The existing algorithms do not have good security because they focused only on performance, not security. So, the novel security algorithm is RPBB31. This algorithm has seven stages. The 1 st stage is to find the secret key N, n, and p values from the matrix. The 2 nd stage is to apply the secret key in equation ( 1). The 3 rd stage operation of PN(n) up to n=1. The 4 th stage is all PN(n) operations make their single line. The 5 th stage is to pair the values and swap the values in the matrix. The 6 th stage is column operations in the matrix. The 7 th stage is again Step 4 values used to swap but "0 th " cell value start from reverse in the matrix. The proposed algorithm has provide good security and performance while compare to existing algorithms.

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Section: Literature Surveymentioning

confidence: 99%

A Novel Security Algorithm RPBB31 for Securing the Social Media Analyzed Data using Machine Learning Algorithms

Batcha¹,

Singaravelu

Ramachandran³

et al. 2023

Wireless Pers Commun

View full text Add to dashboard Cite

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Revisiting the Software-Efficient Stream Ciphers RCR-64 and RCR-32

Joseph

Sekar

Balasubramanian

2023

The Computer Journal

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The synchronous stream ciphers RCR-64 and RCR-32 designed by Sekar, Paul and Preneel are strengthened variants of the ciphers TPy and TPypy (designed by Biham and Seberry), respectively. The RCR ciphers have remained unbroken since they were published in 2007. In this paper, we present arguments that not only support the designers’ security claims but suggest, in general, that the ciphers are secure against several classes of cryptanalytic attacks. We find that the ciphers are best used with 256-bit keys and 384-bit IVs. We also suggest ways to protect software implementations of the RCR ciphers against (cache-)timing and processor flag attacks. Our performance evaluation suggests that the protected implementation of the RCR-64 encrypts long messages at speeds comparable to some of the fastest stream ciphers available today. Consequently, we find that the RCR ciphers may be well suited for PC-based applications in general and streaming audio / video applications in particular. This is the first paper to present a detailed study on the security and performance of the RCR ciphers.

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A novel security algorithm RPBB31 for securing the social media analyzed data using machine learning algorithms

Batcha

Singaravelu

Ramachandran

et al. 2022

Preprint

View full text Add to dashboard Cite

The present world data is most important in public because without data cannot live in the world. This data is big data and that data daily increases through Social Media like "Twitter, Facebook, Youtube, WhatsApp, Instagram, LinkedIn", etc.., because this media only share public opinion very fast through the net. From this media, more people used especially Twitter. Thus media are used to analyze the public opinion of the tweets and predict the future through Machine Learning Algorithm. This analyzed data should make it polarity score. This score data has very little security because, this score can change the score and affected the future, so apply the existing security algorithms is Salsa and ChaCha. The Salsa algorithm is diagonal values moved to the first row. The ChaCha algorithm is diagonal values moved to the first column. The existing algorithms do not have good security because they focused only on performance, not security. So, the novel security algorithm is RPBB31. This algorithm has seven stages. The 1st stage is to find the secret key N, n, and p values from the matrix. The 2nd stage is to apply the secret key in Eq. (1). The 3rd stage operation of PN(n) up to n = 1. The 4th stage is all PN(n) operations make their single line. The 5th stage is to pair the values and swap the values in the matrix. The 6th stage is column operations in the matrix. The 7th stage is again Step 4 values used to swap but “0th " cell value start from reverse in the matrix. The proposed algorithm has provide good security and performance while compare to existing algorithms.

show abstract

On the Security of the Stream Ciphers RCR-64 and RCR-32

Cited by 3 publications

References 4 publications

A Novel Security Algorithm RPBB31 for Securing the Social Media Analyzed Data using Machine Learning Algorithms

A Novel Security Algorithm RPBB31 for Securing the Social Media Analyzed Data using Machine Learning Algorithms

Revisiting the Software-Efficient Stream Ciphers RCR-64 and RCR-32

A novel security algorithm RPBB31 for securing the social media analyzed data using machine learning algorithms

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