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EN
Gibberellic acid (GA) is an important signaling molecule that participates in many aspects of plant growth and development. While the importance of this hormone is clear, the transcriptional regulatory networks involved are still being characterized. The cereal aleurone, particularly the barley aleurone, has been used as a classic model to study GA and GA signaling for many years, and these studies have significantly contributed to our understanding of GA in plant biology. The objective of this study was to characterize the transcripts regulated through the DELLA protein SLN1, a negative regulator of the GA signaling pathway. To detect the transcripts, Affymetrix Barley 1 GeneChips were hybridized with RNA extracted from barley aleurone treated with GA or aleurone of the DELLA mutant sln1c without GA treatment. The transcripts detected, in term of both expressed genes and their function, were highly similar between the GA-treatment and the sln1c mutant. These results from a genome-wide transcript analysis provide evidence that SLN1 in the GA signal transduction pathway controls almost all GA-induced genes in the barley aleurone.
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Content available remote A New Approach to Security Analysis of Smart Home Authentication Systems
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EN
ZigBee networks, with their characteristics of high availability, low power consumption and cost-effective devices, are perfectly appropriate to construct Wireless Sensor Networks (WSNs). Also, the natures of WSN listed above bring significant benefits over traditional communication networks used in smart home systems. A smart home system is meant to improve the quality of life through offering various automated, interactive and comfortable services, such as sensing and communicating the family member’s health information with their doctors, or remotely controlling the appliances via cellular phones, emails etc. These critical services make the security of personal privacy and the authority of control commands vital issues in Smart Home environments. While the smart home system suffer from many attacks, the security of the smart home system become an important and hard problem. And the authentication is the first parclose to the security of the system. However, according to our analysis, most system fail to achieve the authentication between the user and the device, Which leading to the compromise of the whole system. In this paper, we analyze the authentication challenges between the user the device in WSNs and in smart home Systems. To thoroughly detect, defense and foresee the authentication vulnerabilities existing in smart home networks, we proposed a security evaluation technique based on attack graph generation. We discuss the distinction between the attack graphs deployed in traditional networks and in smart home networks. Furthermore, we apply this technique into an experiment, and the results prove its practicality. And we then suggest a widely used protocol to the smart home authentication system.
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