基于游戏业务特征的感知定量分析方法研究

本文提出借助深度包检测技术,基于对网络游戏业务数据包特征的深度识别,提取相应的用户使用感知指标,采用回归拟合算法,形成"三步三维"网络游戏感知评测体系,实现用户网络游戏使用感知的准确称量分析,达到感知裂化预警、感知问题定位、用户感知提升等目标,游戏业务识别准确率达95%以上。

一种基于粒子群优化算法的异构传感器分配方法

针对复杂的战场环境下目标环境机动性增强、传感器资源相对不足且单一传感器获取空间目标信息不完备问题,结合传感器节点自身的性能特征,考虑传感器的抗干扰性能等因素,提出一种传感器信息感知能力评估指标体系,并构建了传感器感知能力定量评价模型,计算出传感器指数。再利用传感器指数,考虑了覆盖率、电磁环境变化、态势变化等因素作为目标函数,研究基于粒子群算法的传感器分配方法,以实现传感器位置的最优分配及感知能力最大化的需求。仿真结果表明,将粒子群优化算法用于该研究,提高了传感器的总体感知能力和资源有效利用率。

A Service Selection Approach Based on Availability-Aware in Mobile Ad Hoc Networks

Service composition is considered to be an effective way for resource sharing and node collaboration in Mobile Ad hoc NETworks (MANETs) environment.In order to improve the reliability and shorten the response time of composite services,this paper first analyzes the node environments and network environments that affect the component services' availability,and then proposes an Environment-aware Quantitative Evaluation Model for Service Availability (EQEM-SA).In addition,based on EQEM-SA,a service field concept is proposed as well as the availability attenuation equation,where the availability value is considered as the field strength.Then the service selection approach based on service field model is presented.The effectiveness of the proposed approach is illustrated and compared with related references,and the results of experimental evaluations indicate that our approach significantly reduces the failure rate and shortens the service delay.

基于免疫的网络环境威胁自适应发现研究

随着网络的发展与融合,全球网络安全也面临着越来越严重的挑战。在真实网络环境下,网络外部环境异常复杂、尖锐,瞬息万变。显然,采取一成不变、被动的防御策略,非常危险。采取积极主动的、能依据外部网络环境威胁变化主动调整防御策略的网络安全防御方法才是正解。受生物免疫系统的启发,本项目研究基于免疫的网络外部环境威胁变化实时定量感知与风险控制的理论模型及实现技术,该模型可以根据目前网络的实际情况而主动地生成并配置防御策略,这样就可以有针对性地进行防御,使网络防御更加高效。