Multi Constraint Rule Centric Trust Analysis Model for Efficient Intrusion Detection for Improved QoS

Abstract-Intrusion attacks are the worst entity in any service orient environment which targets not just the services but also the Quality of service of the environment. We focused on detecting intrusion attack on SOA with the support of user defined rule sets as well as behavior of users in accessing services. Towards this issue, there are many techniques recommended around service features like payload, latency, and so on. However they struggle to detect the attacks in accurate manner. This article defines a novel Multi Constraint Rule Centric Trust Analysis Model (MCRTAM). The model allows the controller in defining set of rules and maintains the history of different access made by different users earlier. Initially, the method generates set of ensemble rules and preprocesses the traces to generate behavior rule sets. This has been performed for unique services and the service request and service packets are fetched. Using the features of service data, the method performs Base Rule Trust Analysis (BRTS), Service Model Trust Analysis (SMTA) and Service Access Trust Analysis (SATA). The BRTS process estimates Base Rule Trusts Measure (BRTM), SMTA process estimates Service Constraint Trust Measure (SCTM) and SATA process estimates Service Centric Access Trust (SCAT). Using all these values, Multi Constraint Trust Measure (MCTM) is measured. With the MCTM value, presence of intrusion attack is detected. The MCRTAM model hikes the intrusion detection accuracy and achieves higher QoS performance

1 18 Nov, 2024

pg: 6

JACRAIT

Contri. 3+