车载自组织网络中一种有效的匿名认证方法

针对现有车载自组织网络（Vehicular Ad-hoc Network,VANET）匿名认证方案在网络规模较大时存在复杂性和执行效率方面的问题,提出了一种基于盲签名和组合公钥（Combined Public Key,CPK）算法的认证方案,并对该方案所包含的认证协议进行了详细描述。安全性和执行效率分析表明,与现有方案相比提出的匿名认证方案在保证用户匿名性的同时还具有较高的执行效率。     

车联网中基于距离的多转发者广播协议

为实现安全信息在车载自组织网络中快速、有效的传播,提出一种基于距离的多转发者广播协议.将上一跳转发节点信号边缘处的节点作为最优转发节点,以增加单次转发覆盖新节点的数量.选择信号覆盖范围中点处节点和次接近信号覆盖范围边缘处节点作为备选转发节点,以降低因隐蔽站或车辆脱离信号覆盖范围导致转发失败的概率,并通过反向车辆存储转发广播分组恢复路由.仿真结果表明,该协议能够适应多种车辆密度的车载自组织网络,满足不同交通流密度情况下紧急信息的分发要求,降低车辆间通信的平均端到端延时和转发率,提高转发效率,并且负载上升缓慢,能有效抑制广播风暴.     

基于切比雪夫混沌映射的车联网高效认证方案

车联网在智能交通系统构建中发挥重要作用,消息认证方案能够为车联网的实际应用提供可靠性和安全性保障,但现有认证方案多数存在计算效率低下的问题,为此,提出一种基于切比雪夫混沌映射的车联网认证方案.利用切比雪夫多项式的半群性质构建对称密钥,以实现车辆节点与路边设施单元(RSU)的密钥协商.车辆节点使用由RSU分发的时效性共享...     

Location aided probabilistic broadcast algorithm for mobile Ad-hoc network routing

On-demand routing protocols are widely used in mobile Ad-hoc network (MANET). Flooding is an important dissemination scheme in routing discovering of on-demand routing protocol. However, in high-density MANET redundancy flooding packets lead to dramatic deterioration of the performance which calls broadcast storm problem (BSP). A location-aided probabilistic broadcast (LAPB) algorithm for routing in MANET is proposed to reduce the number of routing packets produced by flooding in this paper. In order to reduce the redundancy packets, only nodes in a specific area have the probability, computed by location information and neighbor knowledge, to propagate the routing packets. Simulation results demonstrate that the LAPB algorithm can reduce the packets and discovery delay (DD) in the routing discovery phase.     

Distributed protocols for ad hoc wireless LANs: a learning-automata-based approach

An ad hoc learning-automata-based protocol for wireless LANs, capable of operating efficiently under bursty traffic conditions, is introduced. According to the proposed protocol, the mobile station that is granted permission to transmit is selected by means of learning automata. At each station, the learning automaton takes into account the network feedback information in order to update the choice probability of each mobile station. The proposed protocol is compared via simulation to TDMA and IEEE 802.11 under bursty traffic conditions. Ad hoc learning-automata-based protocol (AHLAP) is shown to exhibit superior performance compared to TDMA in all cases. Compared to IEEE 802.11, the burstier the network traffic, the larger the performance increase of AHLAP. Furthermore, the implementation of AHLAP is more easier than that of IEEE 802.11.