Impact of false positives and false negatives on security risks in transactions under threat

D Donchev, V Vassilev, D Tonchev - Trust, Privacy and Security in Digital …, 2021 - Springer
This paper presents a theoretical model, algorithms, and quantitative assessment of the
impact of false positives and false negatives on security risks during transaction processing …

Evolutionary reinforcement learning for adaptively detecting database intrusions

SG Choi, SB Cho - Logic Journal of the IGPL, 2020 - academic.oup.com
Relational database management system (RDBMS) is the most popular database system. It
is important to maintain data security from information leakage and data corruption. RDBMS …

Data security, intrusion detection, database access control, policy creation and anomaly response systems-A review

J Parmar - 2014 International Conference on Advances in …, 2014 - ieeexplore.ieee.org
Information is the most valuable asset for organizations. Web database is combination of
database and web technology. In Past few decades database user increasing very rapidly …

Impact of false positives and false negatives on security risks in transactions under threat

V Vassilev, D Donchev, D Tonchev - 2021 - repository.londonmet.ac.uk
This paper presents a theoretical model, algorithms, and quantitative assessment of the
impact of false positives and false negatives on the security risks during transaction …

[HTML][HTML] Some Applications of the Partially Observable Markov Decision Processes

DS Donchev - Markov Model-Theory and Applications, 2023 - intechopen.com
We give two examples of reduction of a POMDPs model to a MDP model with a complete
information. In both MDP models, corresponding Bellman's equations allow to construct …