This invention discloses a multi-dimensional
information security risk
dynamic assessment system and method for detection platforms, relating to the field of
information security technology. It collects multi-dimensional operational parameters such as assets, vulnerabilities, and attacks, converting them into risk factors. An initial comprehensive
risk index is calculated using a
radial basis function algorithm. Real-time business load is sensed to calculate weight offsets, and risk weights are redistributed and normalized, updating the
risk index. A sliding assessment cycle is used to clean the sequence, and
quantile regression is applied to determine a basic threshold. This basic threshold is then adjusted using historical statistical data of the load status to generate a dynamic
risk threshold. When the
risk index exceeds the dynamic threshold, a risk is identified and a response is triggered. This achieves accurate risk fusion and adaptive judgment, reduces response
lag, and improves assessment accuracy, aiming to solve the problems of insufficient risk
perception and high
false alarm rates in complex environments.