Hi all,
I am currently in the exploration of detecting multi-stage cyber attacks. I've encountered challenges regarding the availability and quality of existing benchmark datasets. Many publicly accessible datasets either present limitations in scope, featuring only simple and isolated attack types like port scans and Denial of Service (DoS) activities, or offer few complete scenarios, often outdated. For example, datasets such as DARPA 2000, with its two multi-step Distributed Denial of Service (DDoS) scenarios, and UNB ISCX 2012, featuring an Island-hopping scenario, fall short due to their age and limited representation of contemporary attack strategies.
I'm reaching out to the cybersecurity research community with the following question: Are there any recent public datasets that encompass complete attack scenarios?
Your insights and recommendations would be invaluable in advancing our understanding and capabilities for detecting complex cyber threats.
looking forward to engaging in a stimulating discussion on this crucial aspect of cybersecurity research.
Best regards,
Finding publicly available datasets for multi-stage cyber attacks can be challenging due to the sensitive nature of cybersecurity incidents and the potential privacy concerns associated with sharing such data. However, there are some resources and platforms where you may be able to find relevant datasets for research purposes. Here are a few suggestions:
When using any dataset, especially those related to cybersecurity incidents, make sure to adhere to ethical guidelines, data privacy regulations, and obtain any necessary permissions or approvals for using the data for research purposes. It's also important to consider the implications of working with sensitive data and take appropriate measures to ensure data security and confidentiality.
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