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The rapid evolution of cyber threats, particularly Distributed Denial of Service (DDoS) and other ad...
Recent improvements in the internet of things (IoT), cloud services, and network data variety have i...
This study presents a machine learning-based approach for proactive video codec error detection, ens...
Unsupervised neural networks are a type of artificial neural network designed to learn patterns and ...
Zero-Day Attacks (ZDAs) are a significant concern for cybersecurity as they take advantage of previo...
Large Language Models (LLMs) have demonstrated remarkable capabilities in understanding and generati...
As urban populations grow, cities must become smarter, safer, and more efficient. Adiance, through i...
Basics of IDS
Intrusion Detection System (IDS) is designed to monitor an entire network activity, traffic and iden...
Discover how Generative AI (GenAI) is transforming the telecommunications industry with this insight...
Literature survey done in the field of Time series anomaly detection of past 5 years
computer security
This is based on AI and ML.
data science applications for students useful information for the students in the field of data and ...
Network Packet Analyzer Documentation
In the contemporary globe of social media technology, the airwaves are rife with discourses on cyber...
Smart sentry CTI in IIOT
Pandora FMS is a comprehensive IT infrastructure monitoring solution that provides complete visibili...
8.1 Intruders 8.2 Classes of intruders 8.3 Examples of Intrusion 8.4 Security Intrusion & Detect...
Cybersecurity is a major concern in today's connected digital world. Threats to organizations ar...
Delve into the realm of sensor networks and uncover the sophisticated techniques employed for anomal...
Dive into the intricate world of fraud detection with this comprehensive presentation featuring an u...
ML Based model for NIDS