情境感知的网络用户可信评估模型

A Context-aware Network User Trusted Evaluation Model

互联网已经成为人们生活不可或缺的一部分,但是网络安全问题仍然影响着互联网发展,可信评估逐渐成为保障网络安全的核心,而网络用户又是可信评估的重点评估对象。当前网络可信评估模型没有充分考虑用户所处的情境以及用户的欺诈行为,影响网络用户可信评估的精确性,导致恶意用户的漏判和误判。针对该问题,提出了一种情境感知的网络用户可信评估模型(CAMETNU)。该模型通过对用户访问时所处的情境计算恶意行为的惩罚力度,而又依据用户累计恶意行为加大惩罚力度。实验结果证明了所述方法的有效性。

The Internet has become an indispensable part of people＇s life,but the network security problem still affects the development of the Internet.Trusted evaluation gradually becomes the core of network security,and network users are the important target of evaluation in trusted evaluation.The current network trusted evaluation model does not give full consideration to users＇ situation and their fraud behavior,which affects the accuracy of network user trusted evaluation,leading to the false judgment and misjudgment of malicious users.To solve this problem,a context-aware network user trusted evaluation model（CAMETNU） is proposed.The model calculates the punishment of malicious behavior through the situation the user is in,and increases the punishment according to the accumulated malicious behaviors of the user.Experimental results demonstrate the effectiveness of the proposed method.