@@ -31,36 +31,36 @@ hardening is also time-consuming and resource-intensive, making it difficult to
# Individual research question
## Ranasinghe M.H. (TI20038496)
### Ranasinghe M.H. (TI20038496)
Current multi-factor authentication systems for admin access lack user-friendliness and result in inconvenience and user errors. There is a need for research to develop a context-aware system that minimizes authentication steps and offers a seamless user experience.
## Aththanayaka P.A.G.P.B. (IT20021252)
### Aththanayaka P.A.G.P.B. (IT20021252)
Currently, there is a lack of research on combining machine learning and user behavior analysis for the development of a secure and context-aware multi-factor authentication (MFA) system for admin access.
## Rathnayake S.D. (IT20018450)
### Rathnayake S.D. (IT20018450)
Currently there is a lack of research on integrating RASP with threat intelligence feeds to enhance the security effectiveness of real-time web application threat response, aligned with the CIS benchmark, and enable automated security solutions
## Ranaweera H.N.K. (IT20012960)
### Ranaweera H.N.K. (IT20012960)
Currently, there is a lack of research on utilizing machine learning and real-time data analysis to automate asset valuation, improve risk calculation and risk prediction.
# Individual Objectives
## Ranasinghe M.H. (TI20038496)
### Ranasinghe M.H. (TI20038496)
Development of a secure and context-aware multi-factor authentication system for admin access using machine learning and biometric behavior analysis.
## Aththanayaka P.A.G.P.B. (IT20021252)
### Aththanayaka P.A.G.P.B. (IT20021252)
Develop an integrated system for threat and vulnerability identification automation that incorporates machine learning algorithms and behavior-based analysis.
## Rathnayake S.D. (IT20018450)
### Rathnayake S.D. (IT20018450)
Using run-time application selfprotection (RASP) to increase the effectiveness of real-time web application threat responding according to CIS benchmark.
## Ranaweera H.N.K. (IT20012960)
### Ranaweera H.N.K. (IT20012960)
Asset Valuation automating and Risk Calculation with Machine Learning and Real-Time Data Analysis.
