Advancing Cybersecurity: A Comprehensive Approach to Enhance Threat Detection, Analysis, and Trust in Digital Environments

Abstract

The rapid expansion of Internet technologies has ushered in an era of unprecedented connectivity, resulting in vast and vulnerable attacks that demand robust countermeasures. Cloud computing has become integral to modern business, offering scalability and flexibility. Ensuring the security of cloud services remains paramount with a focus on confidentiality, availability, and integrity. Our primary objectives of cloud security services are Intrusion Detection and prevention systems (IDPS), Data-Driven threat analysis, and Trust computation framework for cloud services. IDPS oversees network traffic and system operations in cloud infrastructure to detect and counteract security threats and unauthorized access efforts. Cloud environments generate substantial data, comprising logs, user behaviors, and system events. A Data-Driven threat analysis model leverages this data to identify and analyze security threats and vulnerabilities specific to the cloud. Trust is a fundamental aspect of cloud computing, as users and organizations need to trust cloud service providers with their data and operations. The Trust Computation Framework assesses and quantifies the trustworthiness of cloud services, users, and entities within the cloud ecosystem. By integrating these three core elements, the cloud security service enhances the security of cloud environments, ensuring that unauthorized user behavior is promptly identified and mitigated. Employing this proactive strategy serves to mitigate the likelihood of data breaches, service interruptions, and various security concerns within the cloud environment. It concurrently fosters a sense of trust and transparency, benefiting both businesses and users in the realm of cloud computing.