Building and Developing a Data Protection Service System Based on Postquantum Cryptography Solutions

Abstract: The rapid adoption of artificial intelligence (AI) in cloud and edge computing environments has transformed industries by enabling large-scale automation, real-time analytics, and intelligent decision-making. However, the increasing reliance on AI-powered infrastructures introduces significant cybersecurity challenges, including adversarial attacks, data privacy risks, and vulnerabilities in AI model supply chains. This research explores advanced cybersecurity frameworks tailored to protect AI-driven cloud and edge computing environments. It investigates AI-specific security threats, such as adversarial machine learning, model poisoning, and API exploitation, while analyzing AI-powered cybersecurity techniques for threat detection, anomaly prediction, and zero-trust security. The study also examines the role of cryptographic solutions, including homomorphic encryption, federated learning security, and post-quantum cryptography, in safeguarding AI models and data integrity. By integrating AI with cutting-edge cybersecurity strategies, this research aims to enhance resilience, compliance, and trust in AI-driven infrastructures. Future advancements in AI security, blockchain-based authentication, and quantum-enhanced cryptographic solutions will be critical in securing next-generation AI applications in cloud and edge environments. Keywords: AI security, adversarial machine learning, cloud computing security, edge computing security, zero-trust AI, homomorphic encryption, federated learning security, post-quantum cryptography, blockchain for AI security, AI-driven threat detection, model poisoning attacks, anomaly prediction, cyber resilience, decentralized AI security, secure multi-party computation (SMPC).

This study examines security risks, emerging technologies, and cryptographic techniques in cloud-based digital currency transactions using a quantitative research approach. Data was sourced from the REKT Database, Web3 Security Report, and Elliptic Open Dataset, employing descriptive statistical analysis, regression modeling, and time-series analysis to assess security vulnerabilities, fraud reduction trends, and regulatory compliance effectiveness. Findings reveal that AI-driven security measures reduced fraud cases by 55% from 2022 to 2025, while illicit transactions declined from 12.5% in 2019 to 6.1% in 2023, demonstrating the impact of cryptographic advancements and regulatory interventions. However, cybercriminals are shifting toward high-value, precision-based attacks, necessitating an integrated security framework. This study contributes to AI-driven security, cryptographic resilience, and regulatory compliance in cloud-based digital transactions. By analyzing emerging threats and security frameworks, it offers valuable insights for researchers, policymakers, and financial institutions. The findings aid in developing robust fraud detection, post-quantum cryptography, and regulatory strategies to enhance digital financial security. This research bridges technological advancements with compliance measures, ensuring a more resilient and secure cloud-based cryptocurrency ecosystem. The study recommends enhancing AI fraud detection with cryptographic security models, adopting post-quantum cryptography, strengthening regulatory compliance, and implementing zero-trust security models to ensure long-term resilience in cloud-based financial ecosystems.

The Internet of Things (IoT) now underpins critical systems like healthcare monitors, smart home, smart grids, automotive V2V & V2X networks, and industrial controls but it still relies on classical cryptography, whose security assumptions are vulnerable to quantum computers. A large quantum computer could run Shor’s algorithm to break RSA/ECC and use Grover’s algorithm to accelerate brute-forcing of symmetric keys, undermining the confidentiality and authentication of data in these IoT applications. Researchers have proposed quantum cryptographic solutions. Quantum key distribution (QKD) and quantum random number generators (QRNGs) exploit quantum mechanics to detect eavesdropping and deliver provably secure key material. For example, chip-scale QRNGs can be embedded in IoT sensors to generate true random keys, boosting resistance to brute-force attacks. These quantum techniques provide information-theoretic secrecy, for instance, QKD-generated keys have been used to authenticate smart-grid SCADA. However, most IoT devices are resource-constrained, making direct deployment of conventional QKD hardware challenging. Post-quantum cryptography (PQC) complements quantum methods by providing algorithms such as lattice-based, hash-based that resist quantum attacks on existing hardware. Standardized PQC can be deployed via software updates on legacy IoT nodes, enabling scalable and quantum-safe security within current constraints. Researchers are exploring lightweight PQC for connected cars and e-health sensors. Hybrid approaches combining QKD/QRNG with PQC offer a layered defense. Since QKD protocols are regarded as ‘future-proof’ and PQC standards mature, their combined use will be essential for robust, quantum-safe IoT security. Miniaturizing quantum components such as integrated QKD/QRNG modules and optimizing lightweight PQC schemes for low-power IoT devices are future research directions to secure IoT networks.

What progress has been made in meeting the needs of seriously maltreated children? the course of 200 cases through the Boston Juvenile Court

This paper proposes an authentication protocol based on post-quantum cryptography and iris recognition. The process uses a modified version of the original McEliece cryptographic algorithm that provides post-quantum security. Additionally, iris recognition is included in the decryption process, ensuring that only authentic users have access to confidential information, or can operate critical infrastructures or systems that must be protected against malicious users or impostors. A distributed framework, in which several autonomous entities interact with each other, participates in the whole process to reduce the odds of a successful attack. Biometric templates are encrypted and safely stored in a database. These templates meet all requirements described in the ISO/IEC 24745 standard regarding data protection. Due to the homomorphic property of McEliece, the decryption process operates using the encrypted version of these biometric templates, ensuring that critical information is not revealed. The use of McEliece does not affect the overall accuracy of the recognition process, so that the same False Acceptance and False Rejection rates are obtained when compared with the non-protected scheme.

The expansion of Internet of Things (IoT) ecosystems has created a high demand for secure cryptographic solutions, even in a future with quantum computing capabilities. Traditional mappings, such as RSA or Elliptic Curve Cryptography (ECC), are expected to be broken by Shor's algorithm, driving the realization of post-quantum cryptography (PQC). This work presents a simulative and prototypical framework for assessing PQC integration in IoT communication. With the liboqs library and NS-3 network simulator, along with the Python scripting language, we implement both NIST-standardized algorithms, such as Dilithium (for signatures) and Kyber (for key encapsulation), as well as the classical RSA and ECC baselines. IoT networks of 50-500 virtual nodes are simulated based on IEEE 802.15.4/6LoWPAN with RPL routing. Performance attributes, including encryption/decryption time, key length, packet delivery ratio, latency, and energy consumption, are collected and evaluated. Preliminary results indicate that PQC incurs additional handshake and key overhead, but is relatively practical, with an average overhead of <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$15-25 ~\text{ms}$</tex> per processed secure transaction. The effort provides a replicable testbed, showcasing what we consider the best and worst PQC has to offer for resource-constrained IoT. Targeted at master's students and researchers, this book provides an applied approach to investigate quantum-resilient security in IoT. It encourages future expansion to hardware-in-the-loop validation on embedded devices.

All children require a safe and nurturing environment for optimal development. Child maltreatment is among the most serious societal problems, with severe behavioral, health, and economic costs. Preventing and responding to child maltreatment is therefore among the most critical services a society can provide. Child protection in the United States is handled by many agencies in a general sense, including law enforcement and health departments. The main agency tasked with protecting children is the Child Protective Services (CPS) system, which is charged with supporting the safety and well-being of children who may be at risk of child maltreatment. Child maltreatment is a common societal problem, with various national studies suggesting that up to a third of children may experience maltreatment before turning 18. CPS contacts about 4% of all children in the United States each year. Among children contacted, about one fifth are substantiated and a very small proportion of all children reported are placed in foster care. CPS serves poor persons at higher rates than wealthier persons, consistent with the higher need for protection faced by those under economic stress. Similarly, Black children are contacted by CPS at a rate almost twice that of White children, consistent with increased risks and stressors faced by that population, largely associated with historical and current racism, particularly as manifested in economic racial stratification. Child welfare practice innovations include, among other things, the increased use of “differential response” programs, in which situations presenting fewer safety risks are handled with less emphasis on investigation, and an increased awareness of the need for preventative services, including services aimed at supporting those under severe economic stress.

Polynomial multiplication stands out as a highly demanding arithmetic process in the development of post-quantum cryptosystems. The importance of the number-theoretic transform (NTT) extends beyond post-quantum cryptosystems, proving valuable in enhancing existing security protocols such as digital signature schemes and hash functions. CRYSTALS-KYBER stands out as the sole public key encryption (PKE) algorithm chosen by the National Institute of Standards and Technology (NIST) in its third round selection, making it highly regarded as a leading post-quantum cryptography (PQC) solution. Faults have the potential to disrupt cryptographic systems, compromise data integrity, and enable side-channel attacks, making the incorporation of robust error detection mechanisms essential. This article introduces algorithm-level fault detection schemes in the NTT multiplication using Negative Wrapped Convolution ( NWC ) and the NTT tailored for Kyber Round 3, representing a significant enhancement compared with previous research. We evaluate this through the simulation of a fault model, ensuring that the conducted assessments accurately mirror the obtained results. Our fault detection scheme is designed to address both malicious fault injection attacks on Kyber and naturally occurring faults. Furthermore, we assessed the effectiveness of the proposed error detection scheme for the NTT implemented in both NWC and Kyber , using AMD/Xilinx Artix-7 FPGA, HLS and processor-based approaches. In our FPGA implementation of NWC , the integration of our error detection approach achieves near-100% fault coverage with minimal area overhead and results in only a 12% increase in latency compared with the original hardware design. Finally, we attained an error detection ratio of nearly 100% for the NTT operation in Kyber , with a clock cycle overhead of 16% on the Cortex-A72 processor.

The advent of quantum computing presents a formidable threat to the security of digital information, particularly for the e-commerce sector, which relies heavily on cryptographic protocols for secure transactions and data protection. This systematic literature review examines the transition from current cryptographic standards to post-quantum cryptography (PQC) within e-commerce security frameworks. The study addresses the urgent need for quantum-resistant algorithms to safeguard against the looming "Q-Day," when quantum computers will be capable of breaking widely used public-key encryption schemes. Through a systematic review of peer-reviewed literature, this paper synthesizes existing research on the vulnerabilities of current e-commerce security, the development and standardization of PQC algorithms, and the strategic roadmaps for their implementation. Our findings reveal a consensus on the theoretical robustness of PQC candidates, such as lattice-based, code-based, and hash-based cryptography. However, significant challenges remain in the practical integration of these algorithms into legacy e-commerce systems, including performance overhead and the need for crypto-agility. The review highlights the critical role of standardization bodies like NIST in guiding the transition and the necessity for proactive, phased adoption by online businesses. This paper concludes by discussing the implications for the e-commerce industry and outlining a research agenda focused on developing and implementing practical, efficient, and secure quantum-resistant security frameworks for the post-quantum era.

Cloud computing has emerged as the prevailing development in healthcare systems across the global market. These systems are creating and processing vast amounts of patient data that require a certain level of security. However, due to the introduction of quantum computation, the future of cryptographic techniques on which Cloud security relies is in danger. The following paper seeks to explore the compatibility of quantum computing and cloud security and regard to the protection of health data. It also includes a comprehensive analysis of the current risks, a discussion of already existing quantum-vulnerable points, and a strategy for creating a quantum-safe strategy for safe patient data storage in healthcare. The study under consideration also employs quantum cryptography and cloud structures to identify threats and create appropriate defence mechanisms. Some models explored and analyzed include Quantum Key Distribution (QKD), Post-Quantum Cryptography (PQC) and hybrid cryptosystems. A simulated hospital database has brought about the fragility of some of these algorithms, a research work dubbed as quantum resilience, in order to explain how it is possible to integrate these two concepts without removing the aspects of the cloud that make it appealing to many people, including scalability and accessibility. This indicates that there has been a major enhancement in standing against quantum attacks, specifically showing the way towards effective, sustainable and protected healthcare information systems.

The new Slovenian personal data protection act: Statutory limits to injunctive regulation of the internet

Advances in quantum computing and particularly their impact on security and privacy is a topic of increasing importance to IT practitioners. The authors provide a readily understandable introduction to quantum computing, as well as post-quantum cryptography. They also explain post-quantum cryptographic solutions such as quantum-resistant algorithms and quantum key distribution. Lastly, the suitability of these solutions is addressed with a focus on their impact on the modern cryptographic infrastructure and applicability to the IT profession.

Contents Introduction * The Residential Setting in Psychotherapeutic Work With Adolescents * Angry Children, Frightened Staff: Implications for Training and Staff Development * Applications of the Tavistock Group Relations Model in Community Mental Health and Protective Service Systems * Revitalizing Human Service Organizations: An Action Research Perspective * The School Romance: Approaches to the Subjective Experience of School Life * Reference Notes Included

When the author started his pediatric residency in 1958, trauma inflicted on children had been described in the medical literature, mostly by radiologists, but its existence was not generally recognized by clinicians. Child maltreatment was initially viewed as a disorder of parenting. This meant that, in addition to investigative responsibilities, the new breed of case workers were charged with providing support. Mandatory reporting laws, along with professional and public awareness, soon swamped the protective services system; the supportive mission was not maintained. In the past decade, there has been a marked diminution in the prevalence of physical and sexual abuse; neglect now constitutes over 75% of the reported cases of maltreatment. The author maintains that children’s protective services have outlived their usefulness. Investigations of assaults should be conducted by law enforcement personnel, and suspected neglect should first be evaluated by public health nurses.KeywordsSexual AbusePublic Health NurseChild NeglectChild Welfare AgencyNewborn NurseryThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

This study explores the dual impact of quantum computing on cybersecurity, focusing on the challenges it poses to existing cryptographic standards and the opportunities it presents for enhancing secure communication. Through a comprehensive review of current literature and analysis of emerging quantum-resistant technologies such as Quantum Key Distribution (QKD) and Post-Quantum Cryptography (PQC), the research identifies key vulnerabilities in traditional encryption methods and outlines the potential of quantum technologies to revolutionize cybersecurity practices. The study emphasizes the urgent need for the development and standardization of quantum-resistant cryptographic solutions to safeguard digital assets against the computational capabilities of quantum technologies. Policy recommendations are psroposed to accelerate the adoption of quantum-safe standards and to foster collaboration among stakeholders in the cybersecurity ecosystem. Furthermore, the study highlights areas for future research, including the scalability of quantum-resilient solutions and the ethical implications of quantum computing on privacy and security. Conclusively, the findings suggest that a proactive and collaborative approach is essential for navigating the quantum computing era, underscoring the importance of preparing a quantum-resilient cybersecurity infrastructure to ensure the long-term security of digital communications and assets.