547 14 1828 7 11062 document 1828 esorics2020-ritics-dataset.zip application/zip 436a7c9a510d854d75f741501eba7a7f MD5 4881620 2020-09-15 09:04:38 http://edata.bham.ac.uk/547/2/esorics2020-ritics-dataset.zip 547 2 1 application/zip archive public cc_by_4
esorics2020-ritics-dataset.zip
full_archive archive 141 disk0/00/00/05/47 2020-09-18 09:49:42 2020-09-18 10:40:40 2020-09-18 09:49:42 data_collection show Thomas Richard R.J.Thomas@bham.ac.uk Chothia Tom T.P.Chothia@cs.bham.ac.uk RITICS Learning from Vulnerabilities Dataset 10col_ephy industrial control systems, vulnerabilities, ics, scada, cyber security, cybersecurity, ICS-CERT, NVD, CVE, CWE, vulnerability Dataset Supporting the ESORICS CyberICPS 2020 Workshop Paper "Learning From Vulnerabilities - Categorising, Understanding and Detecting Weaknesses in Industrial Control Systems" by Richard J. Thomas and Tom Chothia. 2020-09-18 published University of Birmingham https://doi.org/10.25500/edata.bham.00000547 Dataset research-data@contacts.bham.ac.uk School of Computer Science Birmingham Centre for Railway Research and Education other National Cyber Security Centre UK (NCSC UK) Research Institute in Trustworthy Inter-Connected Cyber-Physical Systems (RITICS) UK Rail Research and Innovation Network (UKRRIN) Effective Solutions For The NIS Directive - Supply Chain Requirements For Third Party Devices na yes yes TRUE Author Thomas Richard R.J.Thomas@bham.ac.uk Automatic scraping and parsing of ICS-CERT advisories, extraction of data values and cross-referencing NIST NVD CVEs and MITRE CWEs. en 2011 2020-04