IEEE 802.11 Wi-Fi networks are prone to many denial of service(DoS)attacks due to vulnerabilities at the media access control(MAC)layer of the 802.11 protocol.Due to the data transmission nature of the wireless local ...IEEE 802.11 Wi-Fi networks are prone to many denial of service(DoS)attacks due to vulnerabilities at the media access control(MAC)layer of the 802.11 protocol.Due to the data transmission nature of the wireless local area network(WLAN)through radio waves,its communication is exposed to the possibility of being attacked by illegitimate users.Moreover,the security design of the wireless structure is vulnerable to versatile attacks.For example,the attacker can imitate genuine features,rendering classificationbased methods inaccurate in differentiating between real and false messages.Althoughmany security standards have been proposed over the last decades to overcome many wireless network attacks,effectively detecting such attacks is crucial in today’s real-world applications.This paper presents a novel resource exhaustion attack detection scheme(READS)to detect resource exhaustion attacks effectively.The proposed scheme can differentiate between the genuine and fake management frames in the early stages of the attack such that access points can effectively mitigate the consequences of the attack.The scheme is built through learning from clustered samples using artificial neural networks to identify the genuine and rogue resource exhaustion management frames effectively and efficiently in theWLAN.The proposed scheme consists of four modules whichmake it capable to alleviates the attack impact more effectively than the related work.The experimental results show the effectiveness of the proposed technique by gaining an 89.11%improvement compared to the existing works in terms of detection.展开更多
随着移动通信技术的快速发展,无线局域网(Wireless Local Area Network,WLAN)技术成为人们日常生活中的重要组成部分。然而由于无线信道的不稳定性和带宽资源的有限性,如何提高多媒体传输的效率和质量成为一个重要的研究课题。跨层设计...随着移动通信技术的快速发展,无线局域网(Wireless Local Area Network,WLAN)技术成为人们日常生活中的重要组成部分。然而由于无线信道的不稳定性和带宽资源的有限性,如何提高多媒体传输的效率和质量成为一个重要的研究课题。跨层设计作为一种有效的解决方案,可以在不同的网络层之间进行信息交互,从而提升整个系统的性能。基于此,文章主要分析跨层设计在WLAN无线网络通信技术中的应用意义和策略,并展望未来的发展方向。展开更多
由于无线网络主要在开放的空间环境内展开数据信息传输,而不是固定在物理线缆上,存在一定的安全隐患。因此,必须要优化落实对无线网络的安全防护。文章强调了无线局域网(Wireless Local Area Network,WLAN)安全防护的必要性,并对恶意攻...由于无线网络主要在开放的空间环境内展开数据信息传输,而不是固定在物理线缆上,存在一定的安全隐患。因此,必须要优化落实对无线网络的安全防护。文章强调了无线局域网(Wireless Local Area Network,WLAN)安全防护的必要性,并对恶意攻击、非法用户入侵、重传攻击等影响计算机无线网络安全的主要因素进行了分析。在此基础上,从无线与有线一体化关联分析技术、无线网络安全保障机制、WLAN安全技术这几方面入手,着重阐述了基于WLAN的网络安全防护技术的具体应用,以营造更为安全的WLAN无线网络运行环境。展开更多
近年来,城市轨道交通建设加速增长,对城市轨道交通车地通信系统的可靠运行提出了更高的要求。随着第四代移动网络(4th Generation mobile networks,4G)具体化的长期演进(Long Term Evolution,LTE)系统已经广泛地进行了部署,而且技术也...近年来,城市轨道交通建设加速增长,对城市轨道交通车地通信系统的可靠运行提出了更高的要求。随着第四代移动网络(4th Generation mobile networks,4G)具体化的长期演进(Long Term Evolution,LTE)系统已经广泛地进行了部署,而且技术也逐渐趋于成熟,地铁长期演进(Long Term Evolution for Metro,LTE-M)车地通信系统具有较强的抗干扰能力、支持快速移动状态下的列车通信、资源调度灵活等优点,突破融合不同通信制式的关键技术,研制出信号通信设备样机,并根据列车控制系统的业务需求对新的通信制式进行测试,保障城铁列车的安全稳定运行。展开更多
为了满足用户在各类场景下对无线业务日益增长的要求,高密集部署的无线局域网(wireless local area network,WLAN)是未来发展的趋势。但由于频率资源有限,相同信道必然存在多个WLAN无线接入点(access point,AP),然而处于同一信道的AP会...为了满足用户在各类场景下对无线业务日益增长的要求,高密集部署的无线局域网(wireless local area network,WLAN)是未来发展的趋势。但由于频率资源有限,相同信道必然存在多个WLAN无线接入点(access point,AP),然而处于同一信道的AP会互相干扰,造成网络中小区间吞吐量的公平性下降,无法为用户提供良好的服务质量。为了提高网络公平性,改善用户体验,需要制定合理的网络参数调优方法,给出了一种基于神经网络和遗传算法对WLAN参数优化的方法。采用神经网络构建网络参数与网络吞吐量公平性之间的映射,将训练完成的模型作为遗传算法的适应度评估函数,通过遗传算法求解优化参数组合配置来改善WLAN吞吐量公平性问题。仿真结果表明所提出算法能够使得高密集WLAN吞吐量公平性得到提升。展开更多
基金The manuscript APC is supported by the grant name(UMS No.DFK2005)“Smart Vertical farming Technology for Temperate vegetable cultivation in Sabah:practising smart automation system using IR and AI technology in agriculture 4.0”.
文摘IEEE 802.11 Wi-Fi networks are prone to many denial of service(DoS)attacks due to vulnerabilities at the media access control(MAC)layer of the 802.11 protocol.Due to the data transmission nature of the wireless local area network(WLAN)through radio waves,its communication is exposed to the possibility of being attacked by illegitimate users.Moreover,the security design of the wireless structure is vulnerable to versatile attacks.For example,the attacker can imitate genuine features,rendering classificationbased methods inaccurate in differentiating between real and false messages.Althoughmany security standards have been proposed over the last decades to overcome many wireless network attacks,effectively detecting such attacks is crucial in today’s real-world applications.This paper presents a novel resource exhaustion attack detection scheme(READS)to detect resource exhaustion attacks effectively.The proposed scheme can differentiate between the genuine and fake management frames in the early stages of the attack such that access points can effectively mitigate the consequences of the attack.The scheme is built through learning from clustered samples using artificial neural networks to identify the genuine and rogue resource exhaustion management frames effectively and efficiently in theWLAN.The proposed scheme consists of four modules whichmake it capable to alleviates the attack impact more effectively than the related work.The experimental results show the effectiveness of the proposed technique by gaining an 89.11%improvement compared to the existing works in terms of detection.
文摘随着移动通信技术的快速发展,无线局域网(Wireless Local Area Network,WLAN)技术成为人们日常生活中的重要组成部分。然而由于无线信道的不稳定性和带宽资源的有限性,如何提高多媒体传输的效率和质量成为一个重要的研究课题。跨层设计作为一种有效的解决方案,可以在不同的网络层之间进行信息交互,从而提升整个系统的性能。基于此,文章主要分析跨层设计在WLAN无线网络通信技术中的应用意义和策略,并展望未来的发展方向。
文摘由于无线网络主要在开放的空间环境内展开数据信息传输,而不是固定在物理线缆上,存在一定的安全隐患。因此,必须要优化落实对无线网络的安全防护。文章强调了无线局域网(Wireless Local Area Network,WLAN)安全防护的必要性,并对恶意攻击、非法用户入侵、重传攻击等影响计算机无线网络安全的主要因素进行了分析。在此基础上,从无线与有线一体化关联分析技术、无线网络安全保障机制、WLAN安全技术这几方面入手,着重阐述了基于WLAN的网络安全防护技术的具体应用,以营造更为安全的WLAN无线网络运行环境。
文摘近年来,城市轨道交通建设加速增长,对城市轨道交通车地通信系统的可靠运行提出了更高的要求。随着第四代移动网络(4th Generation mobile networks,4G)具体化的长期演进(Long Term Evolution,LTE)系统已经广泛地进行了部署,而且技术也逐渐趋于成熟,地铁长期演进(Long Term Evolution for Metro,LTE-M)车地通信系统具有较强的抗干扰能力、支持快速移动状态下的列车通信、资源调度灵活等优点,突破融合不同通信制式的关键技术,研制出信号通信设备样机,并根据列车控制系统的业务需求对新的通信制式进行测试,保障城铁列车的安全稳定运行。
文摘为了满足用户在各类场景下对无线业务日益增长的要求,高密集部署的无线局域网(wireless local area network,WLAN)是未来发展的趋势。但由于频率资源有限,相同信道必然存在多个WLAN无线接入点(access point,AP),然而处于同一信道的AP会互相干扰,造成网络中小区间吞吐量的公平性下降,无法为用户提供良好的服务质量。为了提高网络公平性,改善用户体验,需要制定合理的网络参数调优方法,给出了一种基于神经网络和遗传算法对WLAN参数优化的方法。采用神经网络构建网络参数与网络吞吐量公平性之间的映射,将训练完成的模型作为遗传算法的适应度评估函数,通过遗传算法求解优化参数组合配置来改善WLAN吞吐量公平性问题。仿真结果表明所提出算法能够使得高密集WLAN吞吐量公平性得到提升。
