Sensor situation based on the multiple linear regression forecast
Jiange Zhang, Yingying Li, Jing Cao · 2011
Due to endless system vulnerability, and uneasy administrators acquiring of Network security situation of customer host, how to automatically discover the vulnerability and frangibility of customer host on the Internet before attackers utilize the vulnerability becomes a crucial question of ensuring a secure Network. In allusion to the algorithms of multiple linear regression forecast model, this paper realizes the forecast of sensor security utilizing the least square to solve the equation of multiple linear regression firstly and t-test to test the significance of regression coefficient. Thus administrators of Network are able to know the whole status of sensor intuitively, and seek the lowest accident rate, the least loss and the best security investment results.