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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Reagan Ricafort

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Review Open access Jul 2026

Content-centric Networking for Edge-based Internet Services: a Systematic Literature Review of Scalability, Security, and Quality of Service (2020–2026)

Content-Centric Networking (CCN), together with the wider family of Information-Centric Networking (ICN) and Named Data Networking (NDN), reorganizes communication around named content rather than host addresses, an approach that aligns naturally with the distributed, latency-sensitive character of edge computing. This paper reports the protocol and instrumentation of a systematic literature review examining how CCN supports edge-based Internet services along three intertwined dimensions, scalability, security, and quality of service, across peer-reviewed work published between 2020 and 2026. Guided by the PRISMA 2020 statement, the review specifies a reproducible search across six databases, transparent inclusion and exclusion criteria, a structured data-extraction form, a methodological quality-appraisal rubric, and a thematic coding scheme aligned to four research questions. The Introduction and Methodology are presented in IMRaD form, and the complete research instrument is supplied. The design privileges analytical transparency, replicability, and interpretive depth over aggregate effect estimation

Janepol Ballard, Reagan Ricafort · 0 citations
Review Open access Jul 2026

Advanced Information Security and Assurance: A Literature Review of Zero Trust Architecture, Artificial Intelligence, and Cybersecurity Resilience

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 · 0 citations

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