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首页> 外文期刊>Journal of global information management >Do We Trust the Internet? Ignorance and Overconfidence in Downloading and Installing Potentially Spy ware-Infected Software
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Do We Trust the Internet? Ignorance and Overconfidence in Downloading and Installing Potentially Spy ware-Infected Software

机译：我们相信互联网吗？在下载和安装可能间谍软件感染软件时无知和过度交付

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摘要

The threat profile of spyware is increasing rapidly when we consider the pervasiveness of computing in everyday life. The surreptitious nature of spyware can lead to information mining, data theft and exploitation of stolen data. This article aims to explore the relationship between trust in the Internet and neglecting risks in downloading and installing free potentially spyware-infected software. This study found that trust can be viewed as an indirect function of ignorance and overconfidence through the mechanism of the calculated probability of risk. An enhanced model of trust, based on Li and Betts' trust model has been proposed with two additional vectors. The inference drawn from the study is that in most users' minds, the calculated or perceived risk is substantially less than the anticipated benefit of the software. The analysis shows that users trust the Internet when it comes to downloading and installing potentially spyware-infected software, although such nonchalant trust appears to be based on ignorance and over-confidence.
机译：当我们考虑在日常生活中计算计算的普及时，间谍软件的威胁概况正在迅速增加。 Spyware的秘密性质可能导致信息挖掘，数据盗窃和盗窃数据的开发。本文旨在探讨互联网上信任与忽视下载和安装免费潜在间谍软件感染软件之间的关系。本研究发现，信任可以被视为通过计算出的风险概率的机制来视为无知和过度排放的间接函数。提出了一种增强的信任模型，基于LI和Betts'信任模型，具有两个额外的向量。从研究中汲取的推论是，在大多数用户的思想中，计算或感知的风险大大不到软件的预期益处。分析表明，用户在下载和安装可能间谍软件感染软件时相信互联网，尽管这种无叉静态信任似乎基于无知和过度信心。

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