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MIND-Crypt: A Machine Learning Framework for Assessing the Indistinguishability of Lightweight Block Ciphers Across Multiple Modes of Operation †.

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Title: MIND-Crypt: A Machine Learning Framework for Assessing the Indistinguishability of Lightweight Block Ciphers Across Multiple Modes of Operation †.
Authors: Dani, Jimmy1 (AUTHOR) danijy@tamu.edu, Nakka, Kalyan1 (AUTHOR), Saxena, Nitesh1 (AUTHOR)
Source: Cryptography (2410-387X). Feb2026, Vol. 10 Issue 1, p9. 22p.
Database: Academic Search Ultimate
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  Data: MIND-Crypt: A Machine Learning Framework for Assessing the Indistinguishability of Lightweight Block Ciphers Across Multiple Modes of Operation †.
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  Data: <searchLink fieldCode="AR" term="%22Dani%2C+Jimmy%22">Dani, Jimmy</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> danijy@tamu.edu</i><br /><searchLink fieldCode="AR" term="%22Nakka%2C+Kalyan%22">Nakka, Kalyan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Saxena%2C+Nitesh%22">Saxena, Nitesh</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Cryptography+%282410-387X%29%22">Cryptography (2410-387X)</searchLink>. Feb2026, Vol. 10 Issue 1, p9. 22p.
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        Value: 10.3390/cryptography10010009
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      – Code: eng
        Text: English
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      – TitleFull: MIND-Crypt: A Machine Learning Framework for Assessing the Indistinguishability of Lightweight Block Ciphers Across Multiple Modes of Operation †.
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            NameFull: Dani, Jimmy
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            NameFull: Nakka, Kalyan
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              Text: Feb2026
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              Y: 2026
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