Privacy-Preserving Data in IoT-based Cloud Systems: A Comprehensive Survey with AI Integration

As the integration of Internet of Things devices with cloud computing proliferates, the paramount importance of privacy preservation comes to the forefront. This survey paper meticulously explores the landscape of privacy issues in the dynamic intersection of IoT and cloud systems. The comprehensive literature review synthesizes existing research, illuminating key challenges and discerning emerging trends in privacy preserving techniques. The categorization of diverse approaches unveils a nuanced understanding of encryption techniques, anonymization strategies, access control mechanisms, and the burgeoning integration of artificial intelligence. Notable trends include the infusion of machine learning for dynamic anonymization, homomorphic encryption for secure computation, and AI-driven access control systems. The culmination of this survey contributes a holistic view, laying the groundwork for understanding the multifaceted strategies employed in securing sensitive data within IoT-based cloud environments. The insights garnered from this survey provide a valuable resource for researchers, practitioners, and policymakers navigating the complex terrain of privacy preservation in the evolving landscape of IoT and cloud computingComment: 33 page

A Scalable Multi-Layered Blockchain Architecture for Enhanced EHR Sharing and Drug Supply Chain Management

In recent years, the healthcare sector's shift to online platforms has spotlighted challenges concerning data security, privacy, and scalability. Blockchain technology, known for its decentralized, secure, and immutable nature, emerges as a viable solution for these pressing issues. This article presents an innovative Electronic Health Records (EHR) sharing and drug supply chain management framework tailored to address scalability, security, data integrity, traceability, and secure data sharing. The framework introduces five layers and transactions, prioritizing patient-centric healthcare by granting patients comprehensive access control over their health information. This access facilitates smoother processes, such as insurance claims, while maintaining robust security measures. Notably, our implementation of parallelism significantly bolsters scalability and transaction throughput while minimizing network traffic. Performance evaluations conducted through the Caliper benchmark indicate a slight increase in processor consumption during specific transactions, mitigated effectively by parallelization. RAM requirements remain largely stable. Additionally, our approach notably reduces network traffic while tripling transaction throughput. The framework ensures patient privacy, data integrity, access control, and interoperability, aligning with traditional healthcare systems. Moreover, it provides transparency and real-time drug supply monitoring, empowering decision-makers with actionable insights. As healthcare evolves, our framework sets a crucial precedent for innovative, scalable, and secure systems. Future enhancements could focus on scalability, real-world deployment, standardized data formats, reinforced security protocols, privacy preservation, and IoT integration to comply with regulations and meet evolving industry needs

Medical Cyber-Physical Systems Development: A Forensics-Driven Approach

The synthesis of technology and the medical industry has partly contributed to the increasing interest in Medical Cyber-Physical Systems (MCPS). While these systems provide benefits to patients and professionals, they also introduce new attack vectors for malicious actors (e.g. financially-and/or criminally-motivated actors). A successful breach involving a MCPS can impact patient data and system availability. The complexity and operating requirements of a MCPS complicates digital investigations. Coupling this information with the potentially vast amounts of information that a MCPS produces and/or has access to is generating discussions on, not only, how to compromise these systems but, more importantly, how to investigate these systems. The paper proposes the integration of forensics principles and concepts into the design and development of a MCPS to strengthen an organization's investigative posture. The framework sets the foundation for future research in the refinement of specific solutions for MCPS investigations.Comment: This is the pre-print version of a paper presented at the 2nd International Workshop on Security, Privacy, and Trustworthiness in Medical Cyber-Physical Systems (MedSPT 2017

ETHICAL IMPLICATIONS AND HUMAN RIGHTS VIOLATIONS IN THE AGE OF ARTIFICIAL INTELLIGENCE

In an era marked by technological advancements, the proliferation of Artificial Intelligence (AI) systems has ushered in a new wave of possibilities and challenges, deeply interwoven with the stringent legal framework established by the General Data Protection Regulation (GDPR) within the European Union. This research paper adopts a multidisciplinary approach, encompassing theoretical analysis, ethical frameworks, and empirical case studies. By scrutinizing real-world AI applications across various domains, we aim to provide a nuanced understanding of the ethical implications and societal ramifications of AI's integration into our lives, while meticulously adhering to the GDPR's data protection and privacy provisions. The GDPR's principles of lawfulness, fairness, transparency, and data minimization serve as ethical benchmarks, ensuring that AI applications respect individual privacy and data protection rights. We delve into the GDPR's provisions concerning automated decision-making, profiling, and data subject rights, elucidating their pivotal role in upholding human rights in the context of AI's burgeoning influence. Our inquiry underscores the urgency of adopting a responsible and GDPR-compliant approach to AI development and deployment. By emphasizing the need for ethical guidelines and regulatory measures, we advocate for the safeguarding of human rights and dignity within the AI-driven world. It is within this nexus of ethical considerations and legal imperatives, particularly those set forth by the GDPR, that the profound impact of AI on human rights and dignity is unveiled. Our research contributes to the ongoing discourse and provides a roadmap toward a future where AI aligns harmoniously with the robust privacy and data protection standards mandated by European privacy laws, ensuring the preservation of individual rights in the digital age