The emergence of quantum computing presents a double-edged sword for cybersecurity. While its immense power holds promise for advancements in various fields, it also threatens to crack the foundation of current encryption methods. This analysis explores the impact of quantum computing on critical infrastructure and cloud services, meticulously evaluating potential vulnerabilities across various layers, including applications, data, runtime, middleware, operating systems, virtualization, hardware, storage, and networks. We advocate for proactive security strategies and collaboration between sectors to develop and implement quantum-resistant cryptography. This crucial shift necessitates a comprehensive approach, and the paper introduces a tailored security blueprint encompassing nine critical infrastructure components. This blueprint strengthens each area's defenses against potential quantum-induced cyber threats. Our strategic vulnerability and risk assessment equips stakeholders with the knowledge to navigate the complex quantum threat landscape. This empowers them to make informed decisions about design, implementation, and policy formulation, ultimately bolstering the resilience of critical infrastructure. In essence, this analysis not only forecasts quantum threats but also offers a sophisticated, actionable framework for fortifying infrastructure and cloud environments against the multifaceted challenges of the quantum era. This proactive approach will ensure continued data security and a thriving digital landscape in the years to come

The rise of large-scale quantum computing poses a significant threat to traditional cryptographic security measures. Quantum attacks, particularly targeting the mathematical foundations of current asymmetric cryptographic algorithms, render them ineffective. Even standard symmetric key cryptography is susceptible, albeit to a lesser extent, with potential security enhancements through longer keys or extended hash function outputs. Consequently, the cryptographic solutions currently employed to safeguard data will be inadequately secure and vulnerable to emerging quantum technology threats. In response to this impending quantum menace, organizations must chart a course towards quantum-safe environments, demanding robust business continuity plans and meticulous risk management throughout the migration process. This study provides an in-depth exploration of the challenges associated with migrating from a non-quantum-safe cryptographic state to one resilient against quantum threats. We introduce a comprehensive security risk assessment framework that scrutinizes vulnerabilities across algorithmic, certificate, and protocol layers, covering the entire migration journey, including pre-migration, through-migration, and post-migration stages. Our methodology links identified vulnerabilities to the well-established STRIDE threat model, establishing precise criteria for evaluating their potential impact and likelihood throughout the migration process. Moving beyond theoretical analysis, we address vulnerabilities practically, especially within critical components like cryptographic algorithms, public key infrastructures, and network protocols. Our study not only identifies potential attacks and vulnerabilities at each layer and migration stage but also suggests possible countermeasures and alternatives to enhance system resilience, empowering organizations to construct a secure infrastructure for the quantum era. Through these efforts, we establish the foundation for enduring security in networked systems amid the challenges of the quantum era.

The emergence of quantum computing poses a formidable security challenge to network protocols traditionally safeguarded by classical cryptographic algorithms.This paper provides an exhaustive analysis of vulnerabilities introduced by quantum computing in a diverse array of widely utilized security protocols across the layers of the TCP/IP model, including TLS, IPsec, SSH, PGP, and more.Our investigation focuses on precisely identifying vulnerabilities susceptible to exploitation by quantum adversaries at various migration stages for each protocol while also assessing the associated risks and consequences for secure communication.We delve deep into the impact of quantum computing on each protocol, emphasizing potential threats posed by quantum attacks and scrutinizing the effectiveness of post-quantum cryptographic solutions.Through carefully evaluating vulnerabilities and risks that network protocols face in the post-quantum era, this study provides invaluable insights to guide the development of appropriate countermeasures.Our findings contribute to a broader comprehension of quantum computing's influence on network security and offer practical guidance for protocol designers, implementers, and policymakers in addressing the challenges stemming from the advancement of quantum computing.This comprehensive study is a crucial step towards fortifying the security of networked environments in the quantum age.

Permissions and the network traffic features are the widely used attributes in static and dynamic Android malware detection respectively. However, static permissions cannot detect stealthy malware with update attacks capability, while dynamic network traffic cannot detect the malware samples without network connectivity. Hence, there is a need to build a hybrid model combining both these attributes. In this work, we propose a hybrid malware detector that examines both the permissions and the traffic features to detect malicious Android samples. The proposed approach is based on the combination of Supervised Learning (KNN Algorithm) and Unsupervised Learning (K-Medoids Algorithm). Experimental results demonstrate that hybrid approach gives the overall detection accuracy of 91.98%, better than static and dynamic detection accuracies of 71.46% and 81.13% respectively.