Aug 2026· International Journal of Innovative Science and Research Technology· pp. 1· 0 citations· 20 references
TL;DR
This study integrates and builds upon relevant literature of the aforementioned technologies and organizes the AI focused offense and defense, identity-based security, ransomware, cloud-native security, post-quantum cryptography (PQC), supply chain security, IoT/OT security, XDR platform security, and other security frameworks.
Abstract
The dual-use nature of AI, the expanding attack surfaces of cloud computing and the IoT, the evolution of
Zero Trust architectures, and the forthcoming disruption of quantum computing to classical public key cryptography are
causing rapid, structural shifts in the cybersecurity landscape. This study integrates and builds upon relevant literature
of the aforementioned technologies and organizes the AI focused offense and defense, identity-based security, ransomware,
cloud-native security, post-quantum cryptography (PQC), supply chain security, IoT/OT security, XDR platform security,
and other security frameworks. We review and analyze the gaps that reduce the efficacy of security and defense postures,
which include the labor gap in cybersecurity, inconsistent laws and frameworks, aging technologies, the complexity of
AI and its governance, and alert fatigue from over-utilization of multiple tools. We identify autonomous security and
defense, agile cryptography, AI red team exercises, human-AI defense, and a variety of models using graph theory and
network theory to design and implement resilient architectures to mitigate cyber threats, as potential areas for future
exploration and research. We aim to provide researchers and practitioners a comprehensive overview of the current
cybersecurity environment for the year 2026.
The Internet of Things (IoT) is transforming industries and daily life by connecting billions of devices, enabling smart homes, cities and industrial systems. This rapid expansion, however, introduces significant cybersecurity vulnerabilities, leaving IoT systems increasingly exposed to both established and emerging attack techniques. This paper presents a structured critical review of IoT cybersecurity, distinguished from prior general surveys by three contributions: first, a cross-layer mapping of named, dated case studies to the specific Security-by-Design principles that would have mitigated them; second, a comparative, feasibility-based evaluation of lightweight cryptographic primitives and blockchain consensus protocols for resource-constrained devices, rather than a descriptive overview; and third, a critical appraisal of the operational limitations of AI-based and blockchain-based defences, including adversarial manipulation, data scarcity and energy cost, set against the claims commonly made for these technologies. We examine the current state of IoT security across the perception, network and application layers; the common vulnerabilities that affect these systems, from insecure device design and weak default credentials to unencrypted communications; and the real-world consequences of these flaws through recent, named case studies, including the Aisuru botnet which is active since 2024 and 2024 vulnerability disclosures affecting Mitsubishi Electric and OMRON industrial controllers. We argue that securing the IoT ecosystem requires sustained, coordinated effort from manufacturers, regulators and end-users, and we identify where current technological and regulatory responses fall short of that goal.
K. Curran, J. Kyle, Lovepreet Singh· Recent Progress in Science a...· 0 citations
The accelerating convergence of artificial intelligence (AI), the Internet of Things (IoT), cloud computing, blockchain, and quantum computing has fundamentally transformed the global threat landscape, introducing cybersecurity challenges of unprecedented complexity and scale. This systematic literature review synthesizes findings from peer-reviewed publications, institutional reports, and regulatory documents published primarily between 2020 and 2025 to provide an integrated analysis of contemporary cybersecurity challenges across five key emerging technology domains. The review identifies critical vulnerabilities inherent to each domain, documents the evolution of threat actors and attack methodologies — including AI-powered ransomware, adversarial machine learning, and harvest-now-decrypt-later quantum attacks — and evaluates emerging defensive frameworks and international regulatory responses. Key findings indicate that global cybercrime costs are projected to reach USD 10.5 trillion annually by 2025; ransomware payments reached record highs in 2024 with individual demands exceeding USD 75 million; and the post-quantum cryptography transition mandated by NIST represents an urgent systemic imperative with a 2035 deprecation deadline. The cybersecurity workforce gap — currently estimated at a 12.6% annual growth deficit — compounds these risks, particularly for developing nations and smaller institutions. The review concludes that effective cybersecurity governance in the age of emerging technologies requires multidisciplinary approaches, proactive regulatory frameworks, investment in human capital, and deep public-private collaboration spanning institutional and national boundaries.
Faztudo Languisse· Journal of Cybersecurity Edu...· 0 citations
A structured taxonomy is proposed to organize various dimensions of AI-driven cybersecurity; review them critically; and finally, discuss key challenges, open problems, and emerging trends.
Internet of Things (IoT) has become a new paradigm that combines physical devices with computing and networking features to form intelligent systems that can accomplish their tasks with minimal human interaction. It is estimated that by 2030, there will be more than 30 billion interconnected IoT devices, which will transfer more than 40 zettabytes of data each year. Nevertheless, this exponential increase has brought surprising cybersecurity issues, and recent evaluations show that over 70% of IoT devices are susceptible to hacking. This review examines the complex security environment of IoT ecosystems, evaluates vulnerabilities at each layer of architecture, explores new threat vectors, and assesses new defense solutions. This paper introduces a systematic review of IoT security issues based on a five-layer architecture and specifically focuses on the vulnerabilities of the network and application layers. It examines the ways in which artificial intelligence, blockchain technology, edge computing, and Zero Trust Architecture will transform IoT security paradigms. This review helps reveal long-standing issues such as resource limitations, device heterogeneity, and scaling challenges through the analysis of actual attack cases and defenses in the field of smart healthcare, industrial IoT, smart cities, and other vital infrastructures. Recommendations on future research directions are then given at the end of the paper with an emphasis on quantum-resistant cryptography, 6G network security, and standardized security frameworks required to construct resilient IoT ecosystems.
Muhammad Sami Intizar, Maria Sikandar, Aqsa Siddique et al.· Journal of Computational and...· 0 citations
The quick uptake of cloud computing, artificial intelligence (AI), Internet of Things (IoT), and hybrid workplace solutions has changed the cybersecurity needs in a way that renders the traditional notion of perimeter defense inefficient in addressing sophisticated attack scenarios such as ransomware, insider threats, and advanced persistent threats (APTs). This literature review analyzes advancements in the field of Advanced Information Security and Assurance from 2016 to 2026.
Key advancements include NIST SP 800-207 published in 2020, widespread use of Zero Trust Architecture (ZTA), and incorporation of AI into security analytics. The reviewed sources show that Zero Trust drastically minimizes attack surfaces using continuous authentication, least-privilege access, and microsegmentation. Also, AI is beneficial in improving threat detection through predictive analytics, behavioral anomalies detection, and automation of the incident response process.
On the other hand, AI also poses emerging risks such as adversarial machine learning, automated API reconnaissance, AI phishing scams, and intelligent malware. Additionally, cyber resilience, explainable AI, and adaptive governance are the identified research areas important for protecting future digital infrastructures. While significant advances have been made, there are still many challenges related to complexity, interoperability, staffing shortage, privacy, and governance.
Celinne Mendez, Reagan Ricafort· International Journal of Lat...· 0 citations
The Internet of Things (IoT) has emerged as a transformative technology by enabling billions of interconnected devices to communicate, exchange data, and provide intelligent services across diverse application domains such as healthcare, smart cities, agriculture, industrial automation, and transportation. Despite its widespread adoption, the heterogeneous nature of IoT devices, resource constraints, and the increasing sophistication of cyber-attacks have introduced significant security and privacy challenges. Ensuring the security of IoT environments has therefore become a critical requirement for protecting sensitive data, maintaining service availability, and preserving user privacy. This paper presents a comprehensive review of IoT security by examining recent research trends, fundamental security requirements, major threat environments, and practical security guidelines. The study discusses essential security requirements, including confidentiality, integrity, availability, authentication, authorization, non-repudiation, and data freshness. Furthermore, it analyzes security threats at the device, network, cloud, and application layers and summarizes practical measures for developing secure IoT systems. The paper also highlights recent advancements in lightweight authentication, zero-trust security, artificial intelligence-assisted threat detection, and privacy-preserving techniques that strengthen modern IoT ecosystems. The review provides a concise yet comprehensive overview of IoT security concepts and serves as a useful reference for researchers, practitioners, and students interested in developing secure and reliable IoT applications.
Arul Anitha Dr. A· International Journal of Inn...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
