This paper proposes a novel ARX model-based image encryption scheme that uses addition, rotation, and XOR as its confusion and diffusion mechanism instead of S-Box and permutation as in SP networks. The confusion property of the proposed scheme is satisfied by rotation and XOR with chaotic sequences generated from two logistic maps. Unlike classical image encryption schemes that adopt S-Box or permutation of the entire plain image, the diffusion property is satisfied using addition operations. The proposed scheme exhibits good performance on correlation coefficients (horizontal, vertical and diagonal), Shannon's entropy and NPCR (Number of Pixels Change Rate). Furthermore, simulation results indicate that its time complexity is 9.2 times more efficient than the fastest algorithm(Yang's algorithm).

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In this paper, we propose a method based on a convolutional neural network which is one of the deep neural network. So, we convert a malware code to malware image and train the convolutional neural network. In experiment with classify 9-families, the proposed method records a 96.2%, 98.7% of top-1, 2 error rate. And our model can classify 27 families with 82.9%, 89% of top-1,2 error rate.

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The online banking service handles a banking business over the internet, it is necessary to ensure that all financial transactions are processed securely. So, there are various authentication technique for e-banking service : a certificate, a personal identification number(PIN), a security card and a one-time password(OTP). Especially, the security card is most important means including secret information. If the secret information of card is leaked, it means not only loss of security but also easy to attack because security card is a difficult method to get. In this paper, we propose that a multi-channel security card saves an secret information in distributed channel. Proposed multi-channel security card reduces vulnerability of the exposed and has a function to prevent phishing attacks through decreasing the amount of information displayed and generating secret number randomly.