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This paper proposes cybersecurity features in the National e-Learning policy. Cybersecurity in the learning environment is becoming an issue that has been considered by the community.  DePAN 1.0 and DePAN 2.0 policies have not been carefully planned in any related security concerns. Amongst security domains in e-learning are authentication and accountability, access control, and non-repudiation issues. However, as the functionality of e-learning is expanding, information must be actively protected in this bigger context to avoid the loss of its confidentiality, integrity, and availability. Therefore, the existing policy and guidelines on e-learning have been studied thoroughly.  A very feasible study has been conducted on the existing literature and related works to e-learning and e-learning.  The security threats are also reviewed in this paper.  Based on the established e-Learning policy, therefore, the proposed security features are namely (CSF1) authentication and accountability, (CSF2) access control, (CSF3) protection of communication, and (CSF4) non-repudiation issues.  The findings from this study can be added to the implementation of e-learning in the future.

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Simeck, a lightweight block cipher has been proposed to be one of the encryption that can be employed in the Internet of Things (IoT) applications. Therefore, this paper presents the security of the Simeck32/64 block cipher against side-channel cube attack. We exhibit our attack against Simeck32/64 using the Hamming weight leakage assumption to extract linearly independent equations in key bits. We have been able to find 32 linearly independent equations in 32 key variables by only considering the second bit from the LSB of the Hamming weight leakage of the internal state on the fourth round of the cipher. This enables our attack to improve previous attacks on Simeck32/64 within side-channel attack model with better time and data complexity of 2 35 and 2 11.29 respectively.