A Quantitative Approach to Design Special Purpose Systems to Measure Hacking Skills
2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE)(2018)
摘要
Accurate measure of hacking skills level of a person allows to develop a response plan, whether it is for a cyber security learners or facing an adversary. Numerous attempts have been made to rank hackers, qualitatively. We introduce a quantitative approach that calculates the probability of performing certain cyber security actions and match them to well-known hackers ranks. The calculated probabilities are used to design a special-purpose system that measures the hackers' skills level and rank them. Our system uses a machine-learning approach – it starts with statistically calculated or observed initial values, then it can be trained using data generated either by calculating a weighted sum using a neural networks or by further statistics-based estimation and observation. The initial values were gathered and calculated against the participants of a number of hacking competitions. The probabilistic system is controlled in a manner that it allows the admin/owner to design tasks and challenges with a specific difficulty to examine the systems users skills. Alternatively, it can be designed in an open-end manner which can rank the user's skill based on the level reached. To demonstrate our system, we analysed the hacking skills for 8 university students based on their training results.
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关键词
hacking skill measurements,quantitative approach,gamification
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