络安全数据集整理

1、数据集集合

Canadian Institute for Cybersecurity datasets

来自加拿大 络安全研究所整理的数据集，包含下列数据集：

• Android Malware dataset (InvesAndMal2019)
• DDoS dataset (CICDDoS2019)
• IPS/IDS dataset on AWS (CSE-CIC-IDS2018)
• IPS/IDS dataset (CICIDS2017)
• Android Malware dataset (CICAndMal2017)
• Android Adware dataset (CICAAGM2017)
• DoS dataset (application-layer) 2017
• VPN-nonVPN traffic dataset (ISCXVPN2016)
• Tor-nonTor dataset (ISCXTor2016)
• ISCX-URL dataset (ISCX-URL-2016)
• ISCX Android Botnet dataset 2015
• ISCX Botnet dataset 2014
• ISCX Android Validation dataset 2014
• ISCX IDS dataset 2012
• ISCX NSL-KDD dataset 2009

数据挖掘与 络安全资源

包含以下数据集：

• [入侵检测] DARPA入侵检测数据集
• [入侵检测] KDD Cup 99数据集
• [入侵检测] NSL-KDD数据集
• [黑客攻击数据集] Honeynet数据集（数据集包括从2000年4月到2011年2月，累计11个月的Snort 警数据，每月大概60-3000多条Snort 警记录，其 络由8个IP地址通过ISDN连接到ISP）
• [日志数据] Challenge 2013数据集（提供了某虚构的跨国公司内部 络两周的运行日志，日志类型有3种，分别是 络流量Netflow日志数据和Big Brother 络健康和状态数据，日志包括：第一、二周的Netflow和Big Brother日志，第二周的入侵预防系统日志数据，通过日志的分析可以找出 络中存在的异常， 络包含的主机和服务器约1100 台，原始日志量接近10 GB，记录数超过9000万行）
• 恶意软件数据集

Vizsec

该 站包含下列数据集：

• UGR’16: A New Dataset for the Evaluation of Cyclostationarity-Based Network IDSs
• Stanford Large Network Dataset Collection (SNAP):
• APTnotes
• Open Malware
• Shadow Server Malware Data site
• Darpa CGC (known vulnerabilities)
• DNS data
• SecRepo
• malware-traffic-analysis
• NETRESEC Data
• CTU Data
• Digital Corpora
• Impact
• Kyoto: Traffic Data from Kyoto University’s Honeypots.
• The Honeynet Project: Many different types of data for each of their challenges, including pcap, malware, logs.
• VAST Challenge 2013: Mini-challenge 3 is related to cybersecurity and includes network flow data, network status data (via big brother), and intrusion prevention system data.
• VAST Challenge 2012: This challenge has two mini-challenges, one related to situation awareness (metadata and periodic status reports from all computing equipment) and one to forensics (Firewall and IDS logs).
• VAST Challenge 2011: Mini-challenge 2 is related to Cybersecurity – Situational Awareness in Computer Networks (Firewall and IDS logs).
• DARPA Intrusion Detection Data: This data set has numerous issues that have been documented in the literature.
• ORNL Auto-labeled corpus: A corpus of automatically labeled text data in the cyber security domain.
• Industrial Control System (ICS) Cyber Attack Data Set: Data from MSU. The dataset is made up of tuples of timestamp, network protocol (MODBUS), and system information (measurements and settings), and attack attributes.

（算了剩下的部分再找时间写吧）

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