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@article{193913,
        author = {HEZBONE OCHOLI and Bertha Kakai and Eric Okeno Anyonje and Aseneth Jepchirchir and Sandra Khagayi},
        title = {Pervasive Computing in Healthcare: Security Risks and Strategic Mitigation Frameworks},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {10},
        pages = {2566-2574},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=193913},
        abstract = {Pervasive computing is transforming healthcare by enabling continuous patient monitoring, intelligent diagnostics, context-aware applications, and interconnected medical devices. Despite these benefits, such technologies introduce significant security, privacy, and patient safety risks because of their distributed structures, diverse devices, and constant real-time data exchange. This paper conducts a systematic literature review to examine security risks within pervasive healthcare environments and to synthesize strategic mitigation frameworks documented in peer-reviewed studies. The review identifies key risk domains, including breaches of data confidentiality, vulnerabilities at the device level, insecure communication protocols, interoperability weaknesses, adversarial artificial intelligence (AI) threats, and gaps in regulatory compliance. Mitigation strategies are grouped into architectural controls, cryptographic solutions, identity and access management mechanisms, AI-driven threat detection, blockchain-based integrity measures, and governance frameworks. The findings show that although technical protections are developing quickly, organizational and policy-level safeguards remain relatively less mature. Therefore, a multi-layered strategic mitigation framework is proposed to strengthen resilience in pervasive healthcare ecosystems.},
        keywords = {Pervasive healthcare, IoT security, medical device security, cybersecurity, AI threats, blockchain, Mitigation frameworks.},
        month = {March},
        }