Výsledky vyhledávání - "Ramchandra Mangrulkar"

Akademický článek

Modified Caesar Cipher and Card Deck Shuffle Rearrangement Algorithm for Image Encryption

Autor: Dhairya Veera, Ramchandra Mangrulkar, Chetashri Bhadane, Kiran Bhowmick, Pallavi Chavan

Publikováno v: Journal of Information and Telecommunication, Vol 8, Iss 2, Pp 280-300 (2024)

ABSTRACTIn today's social networking era, information security breaches are at an all-time high, especially when it comes to texts and images, which should come as no surprise. Integrity is therefore crucial for information sharing over an unprotecte

Externí odkaz: https://doaj.org/article/dba03555217d4ba5856d0c4218e64db9

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Akademický článek

Security enhancement and analysis of images using a novel Sudoku-based encryption algorithm

Autor: Kanaad Deshpande, Junaid Girkar, Ramchandra Mangrulkar

Publikováno v: Journal of Information and Telecommunication, Vol 7, Iss 3, Pp 270-303 (2023)

ABSTRACTThis paper presents a novel approach for encrypting images using a Sudoku as its encryption key. This algorithm uses both symmetric and asymmetric key cryptography. It works with any type of data, Sudoku size, and keyspace. The image undergoe

Externí odkaz: https://doaj.org/article/46753c7588f64b0b947f5a1c38316e88

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Akademický článek

Colour image encryption algorithm using Rubik’s cube scrambling with bitmap shuffling and frame rotation

Autor: Aditi Nair, Diti Dalal, Ramchandra Mangrulkar

Publikováno v: Cyber Security and Applications, Vol 2, Iss , Pp 100030- (2024)

The 21st century has seen a significant increase in the usage of multimedia to transfer information. Algorithms used for the encryption of plain text are not suitable for multimedia encryption. This paper proposes a new and unique algorithm - Rubik�

Externí odkaz: https://doaj.org/article/3f9573bd34e44bbcacd1151795a731e1

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Akademický článek

Comparison of tabular synthetic data generation techniques using propensity and cluster log metric

Autor: Aryan Pathare, Ramchandra Mangrulkar, Kartik Suvarna, Aryan Parekh, Govind Thakur, Aruna Gawade

Publikováno v: International Journal of Information Management Data Insights, Vol 3, Iss 2, Pp 100177- (2023)

In the 21st-century, data is as valuable as gold. Many data-centric applications are generating a vast amount of data. Businesses can use this generated data to pinpoint the various sources of problems, if any. In addition, the data can help enterpri

Externí odkaz: https://doaj.org/article/b189d72b44704497a0eccae9b591f855

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Akademický článek

TaxoDaCML: Taxonomy based Divide and Conquer using machine learning approach for DDoS attack classification

Autor: Onkar Thorat, Nirali Parekh, Ramchandra Mangrulkar

Publikováno v: International Journal of Information Management Data Insights, Vol 1, Iss 2, Pp 100048- (2021)

Distributed Denial of Service (DDoS) attack is one of the most dangerous attacks that result in bringing down the server(s) and it is essential to classify the exact attack to implement robust security measures. In this work, we present an approach f

Externí odkaz: https://doaj.org/article/9ce2e788300f4c1bb5a0a36f0605e672

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