Dataset with cyber attacks in HoneySELK
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Due to the large number of vulnerabilities in information systems and the continuous activity of attackers, techniques for malicious traffic detection are required to identify and protect against cyber-attacks. Therefore, it is important to intentionally operate a cyber environment to be invaded and compromised in order to allow security professionals to analyze the evolution of the various attacks and exploited vulnerabilities.This dataset includes 2016, 2017 and 2018 cyber attacks in the HoneySELK environment.HoneySELK was developed to control, capture, analyze and visualize new and unknown attacks in real time within the research laboratory of the Electrical Engineering Department of the University of Brasília. - Rodrigues, G.A.P.; Albuquerque, R.d.O.; de Deus, F.E.G.; de Sousa, R.T., Jr.; de Oliveira Júnior, G.A. Cybersecurity and Network Forensics: Analysis of Malicious Traffic towards a Honeynet with Deep Packet Inspection. Appl. Sci. 2017, 7, 1082 (https://www.mdpi.com/2076-3417/7/10/1082).- Oliveira Júnior, G.A.; de Sousa, R.T., Jr.; de Albuquerque, R.O.; Canedo, E.D.; Grégio, A. HoneySELK: Um Ambiente para Pesquisa e Visualização de Ataques Cibernéticos em Tempo Real. In Proceedings of the XVI Simpósio Brasileiro em Segurança da Informação e de Sistemas Computacionais, Niteroi, Rio de Janeiro, Brazil, 7–10 November 2016; pp. 697–706 (http://sbseg2016.ic.uff.br/pt/anais.php and https://repositorio.unb.br/handle/10482/22886).- Oliveira Jr, G. A., Sousa Jr, R. T. de, Tenório, D. F. (2015). Desenvolvimento de um Ambiente Honeynet Virtual para Aplicação Governamental. In: The Ninth International Conference on Forensic Computer Science. v. 1. p. 70-80 (http://www.icofcs.org/2015/papers-published-009.html).
鉴于信息系统存在大量安全漏洞且攻击者活动持续频发，亟需依托恶意流量检测（malicious traffic detection）技术识别并抵御网络攻击。因此，构建可被入侵攻陷的受控网络环境，供安全从业人员分析各类攻击的演进路径与被利用的安全漏洞，具有重要现实意义。本数据集收录了2016年、2017年及2018年HoneySELK环境下的网络攻击数据。HoneySELK是为巴西利亚大学电气工程系研究实验室开发的专用环境，可实时管控、捕获、分析并可视化新型未知网络攻击。 - Rodrigues, G.A.P.; Albuquerque, R.d.O.; de Deus, F.E.G.; de Sousa, R.T., Jr.; de Oliveira Júnior, G.A. 网络安全（cybersecurity）与网络取证（network forensics）：基于深度包检测（deep packet inspection）的蜜网（honeynet）恶意流量分析. 应用科学, 2017, 7, 1082 (https://www.mdpi.com/2076-3417/7/10/1082). - Oliveira Júnior, G.A.; de Sousa, R.T., Jr.; de Albuquerque, R.O.; Canedo, E.D.; Grégio, A. HoneySELK：用于实时网络攻击研究与可视化的环境. 见：第16届巴西信息安全与计算机系统安全研讨会论文集，巴西里约热内卢州尼特罗伊市，2016年11月7日至10日；第697-706页 (http://sbseg2016.ic.uff.br/pt/anais.php 和 https://repositorio.unb.br/handle/10482/22886). - Oliveira Jr, G. A., Sousa Jr, R. T. de, Tenório, D. F. (2015). 面向政务应用的虚拟蜜网（honeynet）环境开发. 见：第九届国际计算机取证科学会议. 第1卷. 第70-80页 (http://www.icofcs.org/2015/papers-published-009.html).
