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In this paper, we study the fabricated report with false votes attack and the false votes on real reports attack in wireless sensor networks. Since most of the existing works addresses the first attack while leaving an easy way for the attackers to launch the second attack, we propose a probabilistic voting-based filtering scheme (PVFS) to deal with both of them simultaneously. On the basis of the en-route filtering scheme, PVFS combines cluster-based organization, probabilistic key assignment, and voting methods. Through both analysis and simulation, we demonstrate that PVFS could achieve strong protection against both attacks while maintaining a sufficiently high filtering power.

The American Heart Association aims to improve cardiovascular health by encouraging the general population to meet 7 cardiovascular health behaviors and factors. The atherogenic index of plasma (AIP) is an important index. Our aim is to evaluate the relationship between ideal cardiovascular health and the atherogenic index of plasma (AIP) in middle-aged Chinese men.A cross-sectional study was performed. A total of 27,824 middle-aged Chinese men were enrolled. The association between ideal cardiovascular health behaviors and factors and AIP was determined. The 7 cardiovascular health metrics were scored as follows: 0, poor; 1, general; and 2, ideal. The cardiovascular health status was classified according to the total score, as follows: 0 to 4, inadequate; 5 to 9, average; and 10 to 14, optimum. Analyses assessed the prevalence of 7 cardiovascular health metrics, its association with AIP. Logistic regression models were used to calculate odds ratios (ORs), adjusting for age.All 7 cardiovascular health metrics were shown to correlate with AIP (all P values < 0.05), and the strongest correlation existed between body mass and AIP, followed by total cholesterol and AIP. The mean AIP level increased with the decrease in the score of each of the 7 cardiovascular health metrics (all P values < 0.05). The subjects with poor cardiovascular health status had a 4.982-fold increase in the high risk of developing atherosclerosis, whereas a 1-point increase in the cardiovascular health score resulted a 0.046 reduction in AIP and a 22.3% reduction in the high-risk of developing atherosclerosis (OR = 0.777, 95% CI: 0.768–0.787).The ideal cardiovascular health score correlated significantly with AIP, and a 1-point increase in the cardiovascular health score led to a 0.046 reduction in AIP and a 22.3% reduction in the high risk of developing atherosclerosis. These validated the value of ideal cardiovascular health behaviors and factors in the prediction of high risk of developing cardiovascular diseases. Ideal cardiovascular health metrics are of great realistic significance for the prevention and control of atherosclerosis and cardiovascular diseases.