Microservice vulnerability analysis: A literature review with empirical insights
Microservice architectures are revolutionizing both small businesses and large corporations,
igniting a new era of innovation with their exceptional advantages in maintainability …
igniting a new era of innovation with their exceptional advantages in maintainability …
Chatnvd: Advancing cybersecurity vulnerability assessment with large language models
The increasing frequency and sophistication of cybersecurity vulnerabilities in software
systems underscore the urgent need for robust and effective methods of vulnerability …
systems underscore the urgent need for robust and effective methods of vulnerability …
A survey on immersive cyber situational awareness systems
Cyber situational awareness systems are increasingly used for creating cyber common
operating pictures for cybersecurity analysis and education. However, these systems face …
operating pictures for cybersecurity analysis and education. However, these systems face …
Machine Learning Driven Smishing Detection Framework for Mobile Security
The increasing reliance on smartphones for communication, financial transactions, and
personal data management has made them prime targets for cyberattacks, particularly …
personal data management has made them prime targets for cyberattacks, particularly …
Towards Resource-Efficient Reactive and Proactive Auto-Scaling for Microservice Architectures
Microservice architectures have become increasingly popular in both academia and
industry, providing enhanced agility, elasticity, and maintainability in software development …
industry, providing enhanced agility, elasticity, and maintainability in software development …
Proactive–reactive microservice architecture global scaling
We develop a novel approach for run-time global adaptation of microservice applications,
based on synthesis of architecture-level reconfigurations. More precisely, we devise an …
based on synthesis of architecture-level reconfigurations. More precisely, we devise an …
LSRAM: A Lightweight Autoscaling and SLO Resource Allocation Framework for Microservices Based on Gradient Descent
Objective The microservices architecture has become a dominant paradigm in cloud
computing due to its advantages in development, deployment, modularity, and scalability …
computing due to its advantages in development, deployment, modularity, and scalability …
Towards Deep Learning Enabled Cybersecurity Risk Assessment for Microservice Architectures
The widespread adoption of microservice architectures has given rise to a new set of
software security challenges. These challenges stem from the unique features inherent in …
software security challenges. These challenges stem from the unique features inherent in …
The Future of AI: Exploring the Potential of Large Concept Models
H Ahmad, D Goel - arxiv preprint arxiv:2501.05487, 2025 - arxiv.org
The field of Artificial Intelligence (AI) continues to drive transformative innovations, with
significant progress in conversational interfaces, autonomous vehicles, and intelligent …
significant progress in conversational interfaces, autonomous vehicles, and intelligent …
A Trend Detection-Based Auto-Scaling Method for Containers in High-Concurrency Scenarios
H Liu, W Zhu, S Fu, Y Lu - IEEE Access, 2024 - ieeexplore.ieee.org
Cloud computing technology is widely embraced due to its ability to meet diverse computing
resource demands from users. As the user base grows, the challenge for cloud service …
resource demands from users. As the user base grows, the challenge for cloud service …