The DNS over HTTPS(Hypertext Transfer Protocol Secure)(DoH)is a new technology that encrypts DNS traffic,enhancing the privacy and security of end-users.However,the adoption of DoH is still facing several research cha...The DNS over HTTPS(Hypertext Transfer Protocol Secure)(DoH)is a new technology that encrypts DNS traffic,enhancing the privacy and security of end-users.However,the adoption of DoH is still facing several research challenges,such as ensuring security,compatibility,standardization,performance,privacy,and increasing user awareness.DoH significantly impacts network security,including better end-user privacy and security,challenges for network security professionals,increasing usage of encrypted malware communication,and difficulty adapting DNS-based security measures.Therefore,it is important to understand the impact of DoH on network security and develop newprivacy-preserving techniques to allowthe analysis of DoH traffic without compromising user privacy.This paper provides an in-depth analysis of the effects of DoH on cybersecurity.We discuss various techniques for detecting DoH tunneling and identify essential research challenges that need to be addressed in future security studies.Overall,this paper highlights the need for continued research and development to ensure the effectiveness of DoH as a tool for improving privacy and security.展开更多
安全DNS协议DNS-over-HTTPS(DoH)的标准化和部署应用,使DoH隧道成为一种新的隐蔽性网络威胁并受到广泛关注。在云网络环境中对大规模DoH业务流量中潜在的隧道流量进行甄别,需要同时兼顾计算效率和准确率。针对当前基于机器学习的DoH隧...安全DNS协议DNS-over-HTTPS(DoH)的标准化和部署应用,使DoH隧道成为一种新的隐蔽性网络威胁并受到广泛关注。在云网络环境中对大规模DoH业务流量中潜在的隧道流量进行甄别,需要同时兼顾计算效率和准确率。针对当前基于机器学习的DoH隧道检测算法特征效率低、计算复杂度高的问题,设计了一组数据包块长度特征并提出了一种基于最大相关最小冗余(max-Relevance and Min-Re-dundancy,mRMR)特征筛选算法和随机森林算法的低维快速DoH隧道检测方法,该方法通过特征筛选选取对DoH隧道检测任务贡献大的特征,并使用随机森林分类器进行DoH隧道检测任务。实验结果表明,该方法在仅使用10维特征的情况下,达到了与使用24~34维特征的其他算法相当的准确率,可有效降低部署应用的计算复杂度,更好地适应大规模DoH业务流量分析的应用场景。展开更多
中间人攻击是网络攻击的一种常用手段,其中超文本传输安全(Hypertext Transfer Protocol Secure,HTTPS)协议的中间人攻击危害较大,已有检测方法主要面向单客户端,以证书匹配验证为主要手段,部署成本和性能开销较高。通过分析SSL(Secure ...中间人攻击是网络攻击的一种常用手段,其中超文本传输安全(Hypertext Transfer Protocol Secure,HTTPS)协议的中间人攻击危害较大,已有检测方法主要面向单客户端,以证书匹配验证为主要手段,部署成本和性能开销较高。通过分析SSL(Secure Sockets Layer)握手阶段的密钥协商、证书验证等关键报文,提出基于时间特征的HTTPS中间人攻击检测方法,从流量角度提供了一种检测思路,具有更广泛的适用场景。实验结果表明,该方法在互联网环境测试数据集下具有较高的准确率。展开更多
由于通航申报信息属于航运的核心数据资产,必须确保其数据安全。针对当下传输加密敏感性不足、信息量丢失过大的问题,开展基于超文本传输安全协议(hypertext transfer protocol secure,HTTPS)和映射混沌算法的信息交互传输研究。该研究...由于通航申报信息属于航运的核心数据资产,必须确保其数据安全。针对当下传输加密敏感性不足、信息量丢失过大的问题,开展基于超文本传输安全协议(hypertext transfer protocol secure,HTTPS)和映射混沌算法的信息交互传输研究。该研究首先基于HTTPS建立通航申报信息加密传输通道,再将通航申报信息分割为前景和背景部分,选择两种不同的混沌系统分别实施混沌映射加密。结果表明:经本研究方法加密后,明文敏感性相对更大、信息熵差值相对更小,基于HTTPS协议和映射混沌算法的信息交互传输加密效果更好。展开更多
基金Deanship of Scientific Research at King Khalid University for funding this work through a large group Research Project under Grant Number RGP.2/373/45.
文摘The DNS over HTTPS(Hypertext Transfer Protocol Secure)(DoH)is a new technology that encrypts DNS traffic,enhancing the privacy and security of end-users.However,the adoption of DoH is still facing several research challenges,such as ensuring security,compatibility,standardization,performance,privacy,and increasing user awareness.DoH significantly impacts network security,including better end-user privacy and security,challenges for network security professionals,increasing usage of encrypted malware communication,and difficulty adapting DNS-based security measures.Therefore,it is important to understand the impact of DoH on network security and develop newprivacy-preserving techniques to allowthe analysis of DoH traffic without compromising user privacy.This paper provides an in-depth analysis of the effects of DoH on cybersecurity.We discuss various techniques for detecting DoH tunneling and identify essential research challenges that need to be addressed in future security studies.Overall,this paper highlights the need for continued research and development to ensure the effectiveness of DoH as a tool for improving privacy and security.
文摘安全DNS协议DNS-over-HTTPS(DoH)的标准化和部署应用,使DoH隧道成为一种新的隐蔽性网络威胁并受到广泛关注。在云网络环境中对大规模DoH业务流量中潜在的隧道流量进行甄别,需要同时兼顾计算效率和准确率。针对当前基于机器学习的DoH隧道检测算法特征效率低、计算复杂度高的问题,设计了一组数据包块长度特征并提出了一种基于最大相关最小冗余(max-Relevance and Min-Re-dundancy,mRMR)特征筛选算法和随机森林算法的低维快速DoH隧道检测方法,该方法通过特征筛选选取对DoH隧道检测任务贡献大的特征,并使用随机森林分类器进行DoH隧道检测任务。实验结果表明,该方法在仅使用10维特征的情况下,达到了与使用24~34维特征的其他算法相当的准确率,可有效降低部署应用的计算复杂度,更好地适应大规模DoH业务流量分析的应用场景。
文摘由于通航申报信息属于航运的核心数据资产,必须确保其数据安全。针对当下传输加密敏感性不足、信息量丢失过大的问题,开展基于超文本传输安全协议(hypertext transfer protocol secure,HTTPS)和映射混沌算法的信息交互传输研究。该研究首先基于HTTPS建立通航申报信息加密传输通道,再将通航申报信息分割为前景和背景部分,选择两种不同的混沌系统分别实施混沌映射加密。结果表明:经本研究方法加密后,明文敏感性相对更大、信息熵差值相对更小,基于HTTPS协议和映射混沌算法的信息交互传输加密效果更好。
