Inference in Hidden Markov Models (Springer Series in Statistics)
Inference in Hidden Markov Models (Springer Series in Statistics)
Towards an Integrated Conceptual Model of Security and Dependability
ARES '06 Proceedings of the First International Conference on Availability, Reliability and Security
Investigating hidden Markov models capabilities in anomaly detection
Proceedings of the 43rd annual Southeast regional conference - Volume 1
An Information Model for Security Integration
FTDCS '07 Proceedings of the 11th IEEE International Workshop on Future Trends of Distributed Computing Systems
An ARP-based Anomaly Detection Algorithm Using Hidden Markov Model in Enterprise Networks
ICSNC '07 Proceedings of the Second International Conference on Systems and Networks Communications
A Hardware Architecture for Integrated-Security Services
Transactions on Computational Science IV
| Hi-index | 0.00 |
The integration of security services is an important solution to combat anomalies and attacks on computer systems, assuming that possible difficulties of a security service may be compensated by others. The current works that aim to integrate two or more security services are usually focused on a particular implementation strategy, because the systematic approach to integrated security systems requires the analysis of relations between security data. In our work was proposed and developed a Security Services Integrated Layer (SSIL), consisting of an organization pattern of information security, as well as behavioral models to analyze the occurrence of abnormality identified. The Hidden Markov Model and the proposed solutions as subHMM and Sequential Model allowed the integration of security services based on behavior. In this article we highlight the rates of detection of anomalies and a critical analysis of results.