Cyber-attacks have become high frequency and various events in daily life, which forces organizations changing cyber defense strategy. In order to prevent and defense attacks in time, organizations have to obtain outsourcing information, and sharing cyber-threat intelligence can provide organizations ability to defend ongoing or potential cyber-attacks. However, security and privacy of organizations should be noticed because cyber-threat intelligence is a kind of sensitive data for organizations. We design a privacy-preserved post-quantum cryptosystem-based cyber-threat intelligence system which can not only achieve important security features but resist attacks from quantum computers because of applying post-quantum computing. Moreover, blockchain is utilized to provide backtracking or checking records.
Cyber-attacks have become high frequency and various events in daily life, which forces organizations changing cyber defense strategy. In order to prevent and defense attacks in time, organizations have to obtain outsourcing information, and sharing cyber-threat intelligence can provide organizations ability to defend ongoing or potential cyber-attacks. However, security and privacy of organizations should be noticed because cyber-threat intelligence is a kind of sensitive data for organizations. We design a privacy-preserved post-quantum cryptosystem-based cyber-threat intelligence system which can not only achieve important security features but resist attacks from quantum computers because of applying post-quantum computing. Moreover, blockchain is utilized to provide backtracking or checking records.
The rising cases of cyber threats to sensitive government and healthcare information has forced newer and stronger systems of data protection. Conventional encryption protocols, though efficient, are losing their effectiveness due to the enhanced cyber-attacks especially by foreign enemies. The paper examines how quantum enhanced, privacy aware Artificial Intelligence (AI) systems, whose framework is supported by physical concepts, can be used to protect important data. We suggest a combination of quantum computing as a way to achieve increased security and AI-based, privacy-protective methods, including federated learning and blockchain. The quantum nature makes sure the data is encrypted and computed in a manner that cannot be easily broken using the common cryptographic mechanisms, and AI makes the most out of the situation and adjusts to evolving threats on the fly. By building these structures, we would like to develop a model that will easily prevent unauthorized access, and address the risks posed by external cyber threats. The possible uses of these quantum-enhanced AI systems in governmental and healthcare data are also discussed in the paper, providing the effectiveness of such systems in not only sharing data safely but also predicting a risk in real time. The new method offers a bright way out of the current fight against the advanced cyber attacks of the sensitive information.
Quantum computing, very likely going to be a threat against current cryptographic systems especiallywith respect to war between nations, where secure communication and secured data access are very important.Conventional encrypting schemes such as RSA or ECC depend on mathematical problems that can easily besolved by quantum algorithms, typically Shor's, which makes such schemes vulnerable to attacks in the future.This research investigates how PQC is implemented to combat the looming threats of quantum cyber warfare sothat national security is assured. Among the most powerful PQC candidates are lattice based cryptographictechniques like NTRU Encrypt, Kyber and Dilithium, all representing quantum-resilient security. The researchlooks at the time taken for key generation relative to various security levels and quantum attack detection rates,analyzing in detail how these PQC algorithms stand in protecting military communications and criticalinfrastructure. The inference seems to be that though security levels increase, so does the computational overhead,calling for optimization strategies for realistic deployment. Also, a novel adaptive quantum attack detection systemcan be appended to render threat identification more efficient along the years. The joining of lattice-basedencryption with quantum-resistant cloud storage and secure communication protocols will thus yield a scalableefficient model for post-quantum cyber defense. Above all, the research states the need for quickly changingcryptographic standards to those which afford resistance to quantum attacks to secure sensitive data.
The increasing digitalization of the healthcare system, driven by electronic health records, medical IoT devices, and AI-aided diagnostics, has significantly expanded the attack surface for cyber threats. Although current cryptographic protocols provide sufficient security against classical adversaries, new developments in quantum computing threaten the confidentiality, integrity, and availability of medical information as never before. Shor’s algorithm could break widely used asymmetric encryption systems, and Grover’s algorithm weakens symmetric ones, which could render modern healthcare security systems obsolete. This review provides an in-depth and organized analysis of the evolving quantum threat environment in healthcare ecosystems and of the need to move toward quantum-resilient security architectures. It synthesizes the existing literature on post-quantum cryptography (PQC) and identifies lattice-based, hash-based, multivariate, and code-based algorithms as potentially viable long-term replacements. Moreover, it examines the cybersecurity issues that quantum-enabled attacks pose to medical IoT systems, clinical decision-support systems, wearable sensors, telemedicine systems, and cloud-based health information exchanges. The review also covers hybrid quantum-classical defenses, quantum key distribution (QKD), quantum random number generation (QRNG), and blockchain-based trust systems that aim to make systems resilient to advanced persistent quantum attacks. This paper identifies key gaps and outlines future research directions for developing quantum-secure medical systems. The results highlight the importance of early adoption of PQC standards and a layered cyber defense approach to protect patient privacy, ensure regulatory compliance, and retain trust in next-generation digital medical data communication.
The looming threat of quantum attacks on the digital infrastructure protected by conventional cryptographic protocol has generated urgency in identifying and deploying countermeasures that can mitigate the threat. There is a need for stronger cryptographic schemes that combine the strengths of both classic and quantum technologies. Post-Quantum Cryptography (PQC) has emerged as a potential solution that can withstand the challenges posed by advances in quantum computing. Owing to the increasing importance of PQC, the present research is an attempt to assess the existing research done so far so that the existing gaps can be identified which can then strengthen the existing literature. The systematic literature review presented in this work has outlined six key categories of PQC, namely, lattice-based, code-based, hash-based, multivariate, isogeny-based, symmetric-key-based cryptosystems. The study concluded that the advances made in quantum computing will result in the development of quantum computers with superior computational power. Such highly efficient quantum computers will have the ability to break the currently available cryptography schemes most used in a variety of practical applications. With the advent of quantum computing, the computational capabilities of the potential cyber attackers would grow exponentially, which would render the traditional cyber security measures inadequate. This calls for techniques like PQC to be developed and strengthen.
The internet of things (IoT) has been used in a wide range of applications since its emergence, including smart cities, intelligent systems, smart homes, smart agriculture, and healthcare. IoT systems rely on information processing and sharing, where data leakages may jeopardize their security and privacy. On the other hand, quantum computers are poised to solve complex problems that traditional computers cannot. However, due to the fact that the majority of cyber algorithms are based on significant computational complexity, quantum computing poses a substantial threat to the cyber security of global digital infrastructure, including IoT networks, smart cities, banking, and intelligent infrastructure. This chapter discusses potential security and privacy measures for a post-quantum world against threats posed by quantum computing, including post-quantum cryptography, quantum software testing, post-quantum blockchain technology, and architectural considerations for creating post-quantum secure IoT systems.
The Internet of Things (IoT) has revolutionized the way devices communicate and interact, enabling seamless integration into various aspects of daily life by billions of connected devices equipped with small, embedded controllers that monitor and manage our increasingly interconnected world. The swift growth of IoT devices has led to significant concerns about data security and privacy. Traditional cryptographic algorithms, usually lightweight cryptography, are effective against classical computing threats. However, they are vulnerable to attacks from emerging quantum computing technologies, which can quickly solve the mathematically hard problems used in classical cryptography. Post-Quantum Cryptography (PQC) offers promising solution by providing cryptographic primitives resistant to quantum attacks. This chapter addresses challenges posed by resource constrained IoT devices, like limited processing power and memory. It also explores the integration of PQC algorithms suitable for IoT environments, considering factors like computational efficiency and resistance to quantum attacks.