无线传感器网络是物联网络的重要组成部分，具有很好的应用前景。针对无线传感器网络中存在一类干扰、阻断、截听、选择性丢弃数据包等严重威胁数据收集的称之为洞攻击的行为，本项目开展无线传感器网络中数据安全收集的研究。本课题拟首先研究传感器网络能量消耗时间与空间特征，建立抵御洞攻击的能量代价与安全强度的相互关系模型以及传感器网络数据收集安全强度所需能量与网络能量特征间的藕合关系，研究与建立能量高效的洞攻击避免的理论与方法。研究通过主动探测路由方法来快速获取节点信任度，建立具有系统层面上抵御洞攻击的可信路由机制与方法；研究传统洞攻击避免与主动防御洞攻击相结合的安全策略。建立对不同网络区域的数据收集采用不同扩散与转移方法、数据混合策略以避免黑洞攻击的方法；研究逐数据、独立确认的灰洞攻击抵御理论与模型。最后，实现安全、可信与能量高效的抵御洞攻击的机制与方法，为无线传感器网络的应用与发展提供理论与技术支持。

Wireless sensor networks are important composition of Internet of Things (IoT), which have good application prospects. For hole attacks which has serious threat to data collection security, such as interfering, blocking, intercepting, packets selectively dropping, this project aims at secure data collection in WSNs. First, we research on the time and space characteristics of energy consumption and establish relationship model of energy cost and security strength against hole attack, and then explore the relation between secure data collection and network energy characteristics, as well as establish the energy efficiency solution against hole attacks. Through active detecting which obtains nodal trust, we construct trust routing mechanism against hole attacks at system level, moreover, we combine traditional hole attack avoiding strategies with active detecting strategy to gain better performance. Besides, we explore hole attack avoiding strategy though data mixing strategy and deploying different data expanding and forwarding methods in different regions of the network. We research on hole attack avoiding theory model through separately validating data by data. In summary, by proposing secure, trustable and energy efficiency mechanism against hole attacks, this project can provide theoretical and technical support for the application and development of wireless sensor networks.