WLAN(Wireless Local Area Network,无线局域网络)因为安装灵活、使用便捷而受到广大网络用户的青睐,并且由于WLAN的传输速度不断提升,使其获得了更加广阔的发展前景。而目前构建WLAN的主流技术非IEEE的802.11标准系列莫属,这主要是因...WLAN(Wireless Local Area Network,无线局域网络)因为安装灵活、使用便捷而受到广大网络用户的青睐,并且由于WLAN的传输速度不断提升,使其获得了更加广阔的发展前景。而目前构建WLAN的主流技术非IEEE的802.11标准系列莫属,这主要是因为它具有安装快速、使用灵活、通信可靠、吞吐量相对较高,并且由于它在技术方面具有继承性,为日后的升级提供了便利。802.11n标准是一种能够有效增加无线网络吞吐量的最新的无线局域网标准,另外因为采用了智能天线技术,使得WLAN信号更加稳定。在本文中,笔者就基于802.11n标准的WLAN接入规划与设计的相关问题进行了分析和探讨。展开更多
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
文摘WLAN(Wireless Local Area Network,无线局域网络)因为安装灵活、使用便捷而受到广大网络用户的青睐,并且由于WLAN的传输速度不断提升,使其获得了更加广阔的发展前景。而目前构建WLAN的主流技术非IEEE的802.11标准系列莫属,这主要是因为它具有安装快速、使用灵活、通信可靠、吞吐量相对较高,并且由于它在技术方面具有继承性,为日后的升级提供了便利。802.11n标准是一种能够有效增加无线网络吞吐量的最新的无线局域网标准,另外因为采用了智能天线技术,使得WLAN信号更加稳定。在本文中,笔者就基于802.11n标准的WLAN接入规划与设计的相关问题进行了分析和探讨。
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.
