CloudFusion: Multi-Source Intrusion Detection in Cloud Environments

Addressing the multifaceted security challenges inherent in cloud environments, our study delineates a robust, real-time threat detection framework. This methodology integrates three cardinal technologies: a memory access mechanism rooted in Virtual Machine Monitor (VMM) analytics, offering profound insights into the operational dynamics of virtual machines; a semantic reconstruction method, informed by software architectural tenets, adept at discerning intricate adversarial activities; and a log-oriented decoding and rule alignment mechanism tailored for sophisticated handling of cloud-based log data. In unison, these technologies forge a proficient, instantaneous threat detection paradigm. Applied and authenticated on a cloud platform, the proposed framework buttressed by judiciously crafted security protocols enables the contemporaneous surveillance of malicious incursions affecting virtual machines, host systems, and network data streams. Both functionality and efficiency assessments attest to the system’s adeptness in precise threat identification while ensuring minimal performance disruption for host and client systems.