# DNS Firewall Based on Machine Learning
## 5 Data Analysis
### Machine Learning: Classification
Available online: [[https://www.scmagazine.com/home/security-news/malware/vast-majority-of-newly-registered-domains-are-malicious](https://www.scmagazine.com/home/security-news/malware/vast-majority-of-newly-registered-domains-are-malicious)]([https://www.scmagazine.com/home/security-news/malware/vast-majority-of-newly-registered-domains-are-malicious](https://www.scmagazine.com/home/security-news/malware/vast-majority-of-newly-registered-domains-are-malicious)) (accessed on 9 February 2020). * [PERSON] (2021) [PERSON] Passive DNS Replication. Available online: [[https://static.enyo.de/fw/volatile/pdf-draft-11.pdf](https://static.enyo.de/fw/volatile/pdf-draft-11.pdf)]([https://static.enyo.de/fw/volatile/pdf-draft-11.pdf](https://static.enyo.de/fw/volatile/pdf-draft-11.pdf)) (accessed on 28 November 2021). * [PERSON] et al. (2009) [PERSON]; [PERSON]; [PERSON]; [PERSON] Detecting malicious flux service networks through passive analysis of recursive DNS traces. In Proceedings of the Annual Computer Security Applications Conference, ACSAC, Honolulu, HI, USA, 7-11 December 2009; pp. 311-320. * [PERSON] et al. (2021) [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON] [PERSON] EXPOSURE: Finding Malicious Domains Using Passive DNS Analysis. Available online: [[https://sites.cs.ucsb.edu/~chris/research/docndss11_exposure.pdf](https://sites.cs.ucsb.edu/~chris/research/docndss11_exposure.pdf)]([https://sites.cs.ucsb.edu/~chris/research/docndss11_exposure.pdf](https://sites.cs.ucsb.edu/~chris/research/docndss11_exposure.pdf)) (accessed on 28 November 2021). * [PERSON] et al. (2020) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Malicious Domain Detection Using Machine Learning on Domain Name Features, Host-Based Features and Web-Based Features. _Procedia Comput. Sci._ **2020**, _171_, 654-661. [CrossRef]
* [PERSON] et al. (2019) [PERSON]; [PERSON] [PERSON]; [PERSON] Proposal and Prototype of DNS Server Firewall with Flexible Response Control Mechanism. In Proceedings of the 20 th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2019, Piscataway, NJ, USA, 8-10 July 2019; Institute of Electrical and Electronics Engineers Inc.: Piscataway, NJ, USA, 2019, pp. 466-471. * IDC (2020) IDC 2020 Global DNS Threat Report! DNS Attacks Defense! EfficientIP. 2020. Available online: [[https://www.efficiently.com/resources/idc-dns-threat-report-2020/](https://www.efficiently.com/resources/idc-dns-threat-report-2020/)]([https://www.efficiently.com/resources/idc-dns-threat-report-2020/](https://www.efficiently.com/resources/idc-dns-threat-report-2020/)) (accessed on 11 July 2021). * IDC (2021) IDC 2021 Global DNS Threat Report! Network Security. 2021. Available online: [[https://www.efficientip.com/resources/idc-dns-threat-report-2021/](https://www.efficientip.com/resources/idc-dns-threat-report-2021/)]([https://www.efficientip.com/resources/idc-dns-threat-report-2021/](https://www.efficientip.com/resources/idc-dns-threat-report-2021/)) (accessed on 22 August 2021). * Domain Name System (DNS) Security: Attacks Identification and Protection Methods. 2018. Available online: [[https://csce.ucmss.com/cr/books/2018/LFS/CSREA2018/SAM4137.pdf](https://csce.ucmss.com/cr/books/2018/LFS/CSREA2018/SAM4137.pdf)]([https://csce.ucmss.com/cr/books/2018/LFS/CSREA2018/SAM4137.pdf](https://csce.ucmss.com/cr/books/2018/LFS/CSREA2018/SAM4137.pdf)) (accessed on 22 August 2021). * [PERSON] and [PERSON] (2007) [PERSON]; [PERSON] Security vulnerabilities in DNS and DNSSEC. In Proceedings of the Second International Conference on Availability, Reliability and Security, ARES, Vienna, Austria, 10-13 April 2007; pp. 335-342. [CrossRef]
* [PERSON] and [PERSON] (2021) [PERSON]; [PERSON]; [PERSON] Investigating cyber attacks using domain and DNS data. _Netw. Secur._**2021**, _2021_, 6-8.