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An enhanced dynamic key scheduling scheme for PRESENT lightweight cryptography to secure IoT.

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Title: An enhanced dynamic key scheduling scheme for PRESENT lightweight cryptography to secure IoT.
Authors: Sivakumar, G.1 (AUTHOR) gsivakvp@gmail.com, Marichamy, P.2 (AUTHOR) drpmarichamy@gmail.com
Source: EURASIP Journal on Wireless Communications & Networking. 4/28/2026, Vol. 2026 Issue 1, p1-25. 25p.
Subjects: Cryptography, Block ciphers, Energy consumption, Internet of things
Abstract: Internet of Things is a rapidly evolving technology that interconnects devices. Though IoT has applications across different sectors and holds multiple advantages, it is prone to many security threats. To secure it, cryptographic algorithms are crucial. Even the most complicated encryption algorithm fails to fulfill its security purpose if the key is compromised. Therefore, to avoid such threats, a strong key schedule is essential. PRESENT cryptography algorithm is very light in implementation and is relatively immune to linear and differential attacks. However, it has a week key schedule, which exposes it to cryptanalytic attacks. Advancements in the cipher breaking techniques in recent days have made it necessary to have high the security levels. To address this gap, an efficient key scheduling method has been proposed to strengthen the resistance of PRESENT lightweight cipher. This paper focuses on the secure transmission of data in IoT environments using the PRESENT lightweight cipher with an enhanced dynamic key scheduling [EDK-PRESENT]. It evaluates a variety of lightweight block ciphers by examining their memory usage, energy consumption, and execution time. The proposed method exhibits superior resistance to linear, differential, and biclique attacks in comparison with KDS-PRESENT, PRESENT-80, ANU, and LED-64. [ABSTRACT FROM AUTHOR]
Copyright of EURASIP Journal on Wireless Communications & Networking is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: An enhanced dynamic key scheduling scheme for PRESENT lightweight cryptography to secure IoT.
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  Data: Internet of Things is a rapidly evolving technology that interconnects devices. Though IoT has applications across different sectors and holds multiple advantages, it is prone to many security threats. To secure it, cryptographic algorithms are crucial. Even the most complicated encryption algorithm fails to fulfill its security purpose if the key is compromised. Therefore, to avoid such threats, a strong key schedule is essential. PRESENT cryptography algorithm is very light in implementation and is relatively immune to linear and differential attacks. However, it has a week key schedule, which exposes it to cryptanalytic attacks. Advancements in the cipher breaking techniques in recent days have made it necessary to have high the security levels. To address this gap, an efficient key scheduling method has been proposed to strengthen the resistance of PRESENT lightweight cipher. This paper focuses on the secure transmission of data in IoT environments using the PRESENT lightweight cipher with an enhanced dynamic key scheduling [EDK-PRESENT]. It evaluates a variety of lightweight block ciphers by examining their memory usage, energy consumption, and execution time. The proposed method exhibits superior resistance to linear, differential, and biclique attacks in comparison with KDS-PRESENT, PRESENT-80, ANU, and LED-64. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of EURASIP Journal on Wireless Communications & Networking is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – SubjectFull: Energy consumption
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