Cyber & IT Supervisory Forum - Additional Resources
ARTIFICIAL INTELLIGENCE AND CYBERSECURITY RESEARCH
Spam base 5 57
This is a collection of e-mails with several thousand instances facilitating email classification purposes. SMS Spam Collection 6 This includes a wide variety of SMS messages labelled as spam or not spam.
CICIDS2017 7 This consists of traffic data recorded at the Canadian Institute for
Cybersecurity and provides full-packet data and raw PCAP files. Interestingly, several types of attacks are considered.
CICAndMal2017 8 58
This consists or trustworthy and malware applications conveniently organised into four classes, i.e. scareware, SMS malware, ransomware and adware. As such, it is able to facilitate the identification of malicious Android applications.
Android Validation 59
This consists of data characterising relationships existing between various applications organised into false siblings, siblings, cousins, and step-siblings.
IoT-23 data set 60
This is a data set containing malicious and benign IoT network traffic.
57 Tiago A. Almeida, José María G. Hidalgo, and Akebo Yamakami. Contributions to the study of SMS spam filtering. In Proceedings of the 11th ACM symposium on Document engineering - DocEng '11. ACM Press, 2011. DOI:10.1145/2034691.2034742. URL https://doi.org/10.1145/2034691.2034742 58 Esra Calik Bayazit, Ozgur Koray Sahingoz, and Buket Dogan. Malware detection in android systems with traditional machine learning models: A survey. In 2020 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA), pages 1–8, 2020. DOI:10.1109/HORA49412.2020.9152840. 59 Hugo Gonzalez, Natalia Stakhanova, and Ali A. Ghorbani. DroidKin: Lightweight detection of android apps similarity. In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, pages 436– 453. Springer International Publishing, 2015. DOI:10.1007/978-3-319-23829-6_30. URL https://doi.org/10.1007/978-3-319 23829-6_30 60 Sebastian Garcia, Agustin Parmisano and Maria Jose Erquiaga, https://doi.org/10.5281/ZENODO.4743746. Data sets available in https://www.stratosphereips.org/datasets-iot23
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