采用规划识别理论预测系统调用序列中的入侵企图

规划识别是一种根据观察数据识别和推断被观察对象目的或意图的预测理论．在计算机系统入侵检测研究中，为了提前预测出异常事件的发生，提出了一种基于规划识别理论的入侵企图预测方法．通过对主机上的系统调用序列为观察对象建立预测模型，提出了一种带参数补偿的贝叶斯网络动态更新算法，对观察对象的目的进行预测．实验结果表明动态贝叶斯网络对预测系统调用序列中的异常入侵企图有较高的精度．     

基于ITIL标准的移动变更与配置管理系统研究与实现

With the rapid growth of powerful mobile devices, to improve the speed and quality of customer service, mobilizing their workforce became more and more important to many companies. Consequently, all kinds of enterprise applications, policies and data access are enabled through mobile platforms. However, how to manage such various mobile types and mobile applications and to integrate them with existing enterprise IT infrastructure becomes a great challenge. In this paper, we propose a novel approach to manage the enterprise mobiles through IT service management by using standard ITIL processes. Motivated by real cases of insurance industry mobile solution, firstly, a system architecture named BlueStar is designed which integrated ITIL-compliant mobile management and enterprise IT service management into a uniform platform. Secondly, typical ITIL processes and best practices: Change and configuration workflow are introduced for mobility management. Thirdly, the BlueStar system included device management component is implemented and evaluated by the motivating cases.