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As the carrier of information storage, the generation standard and identification method of two-dimensional code are shared. A set of unified standards used, but without corresponding encryption measures, it is difficult to ensure that the two-dimensional code information will not be attacked and tampered by criminals in the process of transmission, resulting in information security risks. With the intellectualization of embedded devices, two-dimensional code has found an increasingly wide application, but its safety issue is becoming more and more prominent. This paper proposes a two-dimensional code encryption method based on embedded devices. In this paper, AES symmetric encryption algorithm which ensures both encryption and decryption speed and security is selected to encrypt the two-dimensional code. Key expansion with the traditional AES encryption algorithm has some flaws in that once a key in one of the rounds is intercepted, the previous and the following subkeys will be calculated through fixed algorithm. Random function is used to improve the generating algorithm of expanded keys, hence enhancing the anti-attack ability of the encryption algorithm. By putting random function and g function into Cloud for operation, the speed of encryption and decoding QR code of the embedded device is increased. The test results show that the system designed in this paper can effectively hide the information contained in the QR code picture, which shows that this method ensures high security.

The central complex is a prominent structure in the "Drosophila" brain. Visual learning experiments in the flight simulator, with flies with genetically altered brains, revealed that two groups of horizontal neurons in one of its substructures, the fan-shaped body, were required for "Drosophila" visual pattern memory. However, little is known about the role of other components of the central complex for visual pattern memory. Here we show that a small set of neurons in the ellipsoid body, which is another substructure of the central complex and connected to the fan-shaped body, is also required for visual pattern memory. Localized expression of "rutabaga" adenylyl cyclase in either the fan-shaped body or the ellipsoid body is sufficient to rescue the memory defect of the "rut[superscript 2080]" mutant. We then performed RNA interference of "rutabaga" in either structure and found that they both were required for visual pattern memory. Additionally, we tested the above rescued flies under several visual pattern parameters, such as size, contour orientation, and vertical compactness, and revealed differential roles of the fan-shaped body and the ellipsoid body for visual pattern memory. Our study defines a complex neural circuit in the central complex for "Drosophila" visual pattern memory. (Contains 5 figures and 1 table.)

Author(s): Bing Chen [1]; Erik M. Vogan [1, 2]; Haiyun Gong [1]; John J. Skehel [3]; Don C. Wiley [1, 2, 4]; Stephen C. Harrison (corresponding author) [1, 2] The [...]