127 matches found
Hybrid Deep Learning-Federated Learning Powered Intrusion Detection System for IoT/5G Advanced Edge Computing Network
The exponential expansion of IoT and 5G-Advanced applications has enlarged the attack surface for DDoS, malware, and zero-day intrusions. We propose an intrusion detection system that fuses a convolutional neural network CNN, a bidirectional LSTM BiLSTM, and an autoencoder AE bottleneck within a...
From Scraping to Paying: Monetizing AI Bots at the Edge
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Generative Personalization at the Edge: The Future of E‑Commerce Isn’t (Just) in the Cloud
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Intel Tiber Edge Platform Edge Orchestrator Input Validation Vulnerability
Intel Tiber Edge Platform Edge Orchestrator is an edge computing platform from Intel designed to simplify the edge application development and deployment process by supporting modular tools to build and run edge applications. Intel Tiber Edge Platform Edge Orchestrator suffers from an improper...
FetFIDS: a Feature Embedding Attention Based Federated Network Intrusion Detection Algorithm
Intrusion Detection Systems IDS have an increasingly important role in preventing exploitation of network vulnerabilities by malicious actors. Recent deep learning based developments have resulted in significant improvements in the performance of IDS systems. In this paper, we present FetFIDS,...
AI in Cloud Computing: How AI Is Revolutionizing the Landscape
Discover how AI in cloud computing is transforming industries. Learn about the differences between cloud AI and edge AI — their benefits, use cases, and solutions...
Leveraging Machine Learning for Botnet Attack Detection in Edge-Computing Assisted IoT Networks
The increase of IoT devices, driven by advancements in hardware technologies, has led to widespread deployment in large-scale networks that process massive amounts of data daily. However, the reliance on Edge Computing to manage these devices has introduced significant security vulnerabilities, a...
CHAMP: a Configurable, Hot-Swappable Edge Architecture for Adaptive Biometric Tasks
What if you could piece together your own custom biometrics and AI analysis system, a bit like LEGO blocks? We aim to bring that technology to field operators in the field who require flexible, high-performance edge AI system that can be adapted on a moment's notice. This paper introduces CHAMP...
How to Mitigate and Defend against DDoS Attacks in IoT Devices
Distributed Denial of Service DDoS attacks have become increasingly prevalent and dangerous in the context of Internet of Things IoT networks, primarily due to the low-security configurations of many connected devices. This paper analyzes the nature and impact of DDoS attacks such as those launch...
Optimizing System Latency for Blockchain-Encrypted Edge Computing in Internet of Vehicles
As Internet of Vehicles IoV technology continues to advance, edge computing has become an important tool for assisting vehicles in handling complex tasks. However, the process of offloading tasks to edge servers may expose vehicles to malicious external attacks, resulting in information loss or...
Toward a Lightweight, Scalable, and Parallel Secure Encryption Engine
The exponential growth of Internet of Things IoT applications has intensified the demand for efficient, high-throughput, and energy-efficient data processing at the edge. Conventional CPU-centric encryption methods suffer from performance bottlenecks and excessive data movement, especially in...
Fog Computing vs. Edge Computing: Their Roles in Modern Technology
Fog computing vs. edge computing: Understand how they compare, their unique benefits, and which is best for your data processing needs in IoT and beyond...
Fog Computing vs. Edge Computing: Their Roles in Modern Technology
Fog computing vs. edge computing: Understand how they compare, their unique benefits, and which is best for your data processing needs in IoT and beyond...
Large Language Models in the IoT Ecosystem -- a Survey on Security Challenges and Applications
The Internet of Things IoT and Large Language Models LLMs have been two major emerging players in the information technology era. Although there has been significant coverage of their individual capabilities, our literature survey sheds some light on the integration and interaction of LLMs and Io...
Adaptive Pruning of Deep Neural Networks for Resource-Aware Embedded Intrusion Detection on the Edge
Artificial neural network pruning is a method in which artificial neural network sizes can be reduced while attempting to preserve the predicting capabilities of the network. This is done to make the model smaller or faster during inference time. In this work we analyze the ability of a selection...
Zero-Day Botnet Attack Detection in IoV: a Modular Approach Using Isolation Forests and Particle Swarm Optimization
The Internet of Vehicles IoV is transforming transportation by enhancing connectivity and enabling autonomous driving. However, this increased interconnectivity introduces new security vulnerabilities. Bot malware and cyberattacks pose significant risks to Connected and Autonomous Vehicles CAVs, ...
Fast Plaintext-Ciphertext Matrix Multiplication from Additively Homomorphic Encryption
Plaintext-ciphertext matrix multiplication PC-MM is an indispensable tool in privacy-preserving computations such as secure machine learning and encrypted signal processing. While there are many established algorithms for plaintext-plaintext matrix multiplication, efficiently computing...
Towards Explainable and Lightweight AI for Real-Time Cyber Threat Hunting in Edge Networks
As cyber threats continue to evolve, securing edge networks has become increasingly challenging due to their distributed nature and resource limitations. Many AI-driven threat detection systems rely on complex deep learning models, which, despite their high accuracy, suffer from two major...
Siemens RUGGEDCOM APE1808 Multiple Vulnerabilities in Fortigate NGFW
The RUGGEDCOM APE1808 is a powerful utility-grade application hosting platform that allows you to deploy a range of commercial applications for edge computing and network security in harsh industrial environments. Siemens RUGGEDCOM APE1808 Fortigate NGFW has multiple vulnerabilities that can be...