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In this paper, we propose a hybrid malicious code detection scheme based on AutoEncoder and DBN (Deep Belief Networks)

Engagement in social activities is relatively low in rural areas, and associations of willingness and health-related quality of life with social participation were found. Policy-makers and government workers should make appropriate types of encouragement policies around social participation for older adults in rural areas. Geriatr Gerontol Int 2017; 17: 1593-1602.

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False data injection (FDI) attack causes a disadvantage to the safety of a power system. In the past, the adversary launching FDI attack mostly needed the complete network topology information of the power system and a large amount of measurements. However, the reality is that the adversary has limited resources and can hardly manipulate massive measurements without being detected. This paper proposes a new method to form attack vector in the condition of incomplete system information. The proposed method first maps the restricted data into a new Jacobian matrix by a kernel-independent component analysis, then constructs the undetectable attack model, and finally, designs a less costly attack vector to accomplish the FDI attack. The experimental results on different IEEE buses with Matpower tool illustrate the validity of the proposed method. Additionally, the proposed method shows a relatively high success rate in the cases of different degrees of incomplete information and various quantities of manipulated data in different power systems.

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This paper proposes a novel algorithm to extract the informative blocks from web pages and filter the advertisement which has noting to do with the subject when people browse the Web page. In this pager, we use HTML Parser to construct DOM tree and apply corresponding rules to construct a new tree (CST) which can easily help us to separate the "primary content blocks" from the other blocks. Then we will use our algorithm to analysis CST and trim off useless blocks which are on the CST. The algorithms can identify primary content blocks by looking for the blocks that contains much more numbers of the block content. Our system can extract web content which is existed as the Table format or the Div format well. At last, Experiments on a set of more than thousands of web pages from 5 different sites show that the method is practical, and can achieve high accuracy.