Journal for ReAttach Therapy and Developmental Diversities, Journal Year: 2020, Volume and Issue: unknown
Published: Jan. 6, 2020
Cloud computing has emerged as a ubiquitous paradigm for storing, processing, and accessing data, offering unprecedented scalability flexibility to organizations individuals. However, the widespread adoption of cloud services also raised significant security concerns, traditional measures often struggle keep pace with dynamic distributed nature environments. In this paper, we propose "SecureCloud," novel architecture that harnesses synergistic benefits blockchain technology machine learning enhance protect against wide range threats. SecureCloud integrates tracing provide transparent tamper-resistant ledger recording verifying transactions data exchanges in cloud. Additionally, it employs learning-based anomaly detection continuously analyze adapt evolving threats real-time. Through comprehensive evaluation case studies, demonstrate effectiveness robustness addressing key challenges such privacy, integrity, availability Our findings underscore potential serve foundational framework enhancing safeguarding sensitive emerging cyber
Language: Английский