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With The Rapid Growth Of Cloud-based Storage And Data Outsourcing, Ensuring Both Fine-grained Access Control And Efficient Search Functionality Over Encrypted Data Has Become A Critical Challenge. Traditional Searchable Encryption Schemes Support Keyword Queries But Often Fail To Provide Flexible Search Capabilities, Such As Pattern Or Wildcard Matching, Which Are Essential For Practical Applications Involving Incomplete Or Uncertain Query Terms. Moreover, Many Existing Solutions Either Neglect User Authentication Or Rely On Symmetric-key Settings, Which Hinder Scalability In Multi-user Environments. To Address These Issues, This Study Proposes PAEWS (Public-Key Authenticated Encryption With Wildcard Search), A Novel Cryptographic Framework That Enables Secure And Efficient Search Over Outsourced Encrypted Data While Ensuring User Authentication Through Public-key Mechanisms. PAEWS Allows Authorized Users To Perform Flexible Wildcard-based Searches Without Revealing Query Contents Or Sensitive Data To The Cloud Server, Thereby Preserving Confidentiality. The Scheme Is Constructed Under A Rigorous Security Model, Providing Guarantees Of Data Privacy, Query Unlinkability, And Resistance To Unauthorized Access. Performance Analysis And Experimental Evaluations Demonstrate That PAEWS Achieves Strong Security With Practical Efficiency, Making It Well-suited For Real-world Applications Such As Healthcare, Finance, And Secure Information Retrieval In Cloud Environments.