针对于网络安全领域中基于PCAP流量的数据集
网络安全领域中基于PCAP流量的数据集
MAWI Working Group Traffic Archive
URL:http://mawi.wide.ad.jp/mawi/
CIC dataset
Canadian Institute for Cybersecurity datasets are used around the world by universities, private industry and independent researchers.
URL:https://www.unb.ca/cic/datasets/
KDD’99 (University of California, Irvine 1998, 99)
CAIDA (Center of Applied Internet Data Analysis – 2002/2016)
http://www.caida.org/data(缺乏政府,企业和研究机构的支持,DatCat发展空间不大)
UNIBS
URL: www.ing.unibs.it/ntw/tools/traces/index.php
WIDE
URL: http://mawi.wide.ad.jp/mawi
WITS
URL: www.wand.net.nz/wits(只能通过IPV6主机访问)
MAWILab
http://www.fukuda-lab.org/mawilab/data.html
CIDDS data sets
https://www.hs-coburg.de/index.php?id=927
https://github.com/markusring/CIDDS
LANDER
LBNL (Lawrence Berkeley National Laboratory and ICSI – 2004/2005)
MERIT
RouteViews
PCH
CTU-13 Dataset
Publicly available PCAP files
https://www.netresec.com/?page=pcapfiles
UCI Network Data Repository
https://networkdata.ics.uci.edu/resources.php
CRAWDAD
Stratosphere Lab
https://www.stratosphereips.org/datasets-overview/
Cambridge University
https://www.cl.cam.ac.uk/research/srg/netos/projects/brasil/data/index.html
https://www.cl.cam.ac.uk/research/srg/netos/projects/archive/nprobe/data/papers/index.html
Moore数据集 https://www.cl.cam.ac.uk/research/srg/netos/projects/archive/nprobe/data/papers/ccr-ivs-crc/index.html
DARPA (Lincoln Laboratory 1998, 1999)
DEFCON (The Shmoo Group, 2000)
CDX (United States Military Academy 2009)
Kyoto (Kyoto University – 2009)
Twente (University of Twente – 2009)
UMASS (University of Massachusetts – 2011)
ISCX2012 (University of New Brunswick – 2012)
ADFA (University of New South Wales – 2013)
国内一些实验室也会有一些数据集:
360 Netlab
http://blog.netlab.360.com/tag/ddos/
以上数据集有的需要申请,但是如果是学生应该可以申请到,只要私信留的邮箱即可。
最后别忘了用数据集的时候引用他们的文章。当然如果可以的话顺便引用我的一下,嘿嘿嘿。
本文努力持续更新中。。。
Reference
[1] Towards a Reliable Intrusion Detection Benchmark Dataset, URL: https://www.riverpublishers.com/journal_read_html_article.php?j=JSN/2017/1/009
posted on 2019-01-14 21:10 answer_lin 阅读(2931) 评论(1) 编辑 收藏 举报