The Experts below are selected from a list of 15 Experts worldwide ranked by ideXlab platform
Wei Wang - One of the best experts on this subject based on the ideXlab platform.
-
a cache splitting scheme for dns Recursive Server
International Conference on Cloud Computing, 2012Co-Authors: Zhiwei Yan, Wei WangAbstract:Domain Name System (DNS) cache poisoning is a kind of computer hacking attack, whereby data are introduced into a DNS name Server's cache database, causing the name Server to return an incorrect IP address, diverting traffic to another computer (often controlled by the attacker). In this paper, a novel scheme is proposed in order to make the Recursive Server more intelligent to handle the cache poisoning attacks. The cache-splitting is adopted in the proposed scheme, in which the credible cache is used to maintain the trustful answers while the incredible cache is used to temporarily maintain the suspicious responses. After the possible attack disappears, the Recursive Server will resolute the names contained in the incredible cache once again and cache the new answers into the credible cache as usual. The analyzing results show that the Recursive serer can handle the responses according to the actual conditions and make use of the caching to optimize the DNS resolutions at the same time.
Zhiwei Yan - One of the best experts on this subject based on the ideXlab platform.
-
a cache splitting scheme for dns Recursive Server
International Conference on Cloud Computing, 2012Co-Authors: Zhiwei Yan, Wei WangAbstract:Domain Name System (DNS) cache poisoning is a kind of computer hacking attack, whereby data are introduced into a DNS name Server's cache database, causing the name Server to return an incorrect IP address, diverting traffic to another computer (often controlled by the attacker). In this paper, a novel scheme is proposed in order to make the Recursive Server more intelligent to handle the cache poisoning attacks. The cache-splitting is adopted in the proposed scheme, in which the credible cache is used to maintain the trustful answers while the incredible cache is used to temporarily maintain the suspicious responses. After the possible attack disappears, the Recursive Server will resolute the names contained in the incredible cache once again and cache the new answers into the credible cache as usual. The analyzing results show that the Recursive serer can handle the responses according to the actual conditions and make use of the caching to optimize the DNS resolutions at the same time.
Jiantao Shi - One of the best experts on this subject based on the ideXlab platform.
-
dns Recursive Server health evaluation model
Asia-Pacific Network Operations and Management Symposium, 2016Co-Authors: Zhaoxin Zhang, Jiantao ShiAbstract:The Domain Name System (DNS) is a critical infrastructure in the Internet. DNS Recursive Servers, as the name Servers which interact with the client directly, the health status of them are directly related to integrity and accuracy of resolved data which the user access to. Therefore, how to evaluate the health status of DNS Recursive Servers has become an urgent problem to be resolved nowadays. In this paper, a DNS Recursive Server health evaluation model is proposed. We have proposed the metrics for DNS Recursive Server health, measured the metrics and computed the DNS Recursive Server health evaluation value based on the results of measuring metrics. In the end, we have evaluated the health of DNS Recursive Servers of Jiangsu province of China and concluded that the health status still remains to improve on the whole.
Xiao Wu - One of the best experts on this subject based on the ideXlab platform.
-
MFRdnsI: A DNS Recursive Server Identification and Classification Method Based on Deep Learning
Proceedings of the 2019 2nd International Conference on Information Science and Systems - ICISS 2019, 2019Co-Authors: Gaochao Li, Xin Zou, Tianning Zang, Xunxun Chen, Peng Chang, Xiao WuAbstract:The Internet and domain name infrastructure are developing rapidly. The amount of domain name registration and system deployment scale of the domain name system continue to grow. The security and stable operation of the domain name system is a necessary for the stable running of the Internet. It is necessary to monitor the security status of important network elements such as the Recursive Server of the domain name system. In the work of Internet Recursive Server identification, the active detection method often has some problems. A lot of Recursive Server refuse to reply to foreign requester and some internet areas are unreachable to the probers. This paper proposes a Recursive Server identification method based on deep learning called MFRdnsI, which analysis the traffic direction characteristics, traffic statistics features and protocol field features in the DNS resolving records and uses multi-layer perceptron for automatic learning of multidimensional features. The experimental results show that MFRdnsI can effectively identify and classify the Recursive Server IP in the resolving logs and has high accuracy and low false positive rate.
Zhaoxin Zhang - One of the best experts on this subject based on the ideXlab platform.
-
dns Recursive Server health evaluation model
Asia-Pacific Network Operations and Management Symposium, 2016Co-Authors: Zhaoxin Zhang, Jiantao ShiAbstract:The Domain Name System (DNS) is a critical infrastructure in the Internet. DNS Recursive Servers, as the name Servers which interact with the client directly, the health status of them are directly related to integrity and accuracy of resolved data which the user access to. Therefore, how to evaluate the health status of DNS Recursive Servers has become an urgent problem to be resolved nowadays. In this paper, a DNS Recursive Server health evaluation model is proposed. We have proposed the metrics for DNS Recursive Server health, measured the metrics and computed the DNS Recursive Server health evaluation value based on the results of measuring metrics. In the end, we have evaluated the health of DNS Recursive Servers of Jiangsu province of China and concluded that the health status still remains to improve on the whole.