120 matches found
How a Streaming Company Scaled Akamai EdgeWorkers to 3 Trillion Requests
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Self-Adaptive Multi-Agent LLM-Based Security Pattern Selection for IoT Systems
The adoption of Internet of Things IoT systems at the network edge of smart architectures is increasing rapidly, intensifying the need for security mechanisms that are both adaptive and resource-efficient. In such environments, runtime defence mechanisms are no longer limited to detection alone b...
A Comparative Analysis of Machine Learning Models for Intrusion Detection in Intelligent Transport Systems
AI-powered edge computing security is moving Intelligent Transportation Systems ITS from passive, rule-based protections to proactive, smart, zero-touch, self-sufficient safeguards that neutralize threats in milliseconds. As transportation becomes more connected with edge computing, massive IoT,...
Farming at the Edge: Where Autonomous Robots and Edge Compute Meet
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Backdoor Attacks on Contrastive Continual Learning for IoT Systems
The Internet of Things IoT systems increasingly depend on continual learning to adapt to non-stationary environments. These environments can include factors such as sensor drift, changing user behavior, device aging, and adversarial dynamics. Contrastive continual learning CCL combines contrastiv...
Rethinking On-Device LLM Reasoning: Why Analogical Mapping Outperforms Abstract Thinking for IoT DDoS Detection
The rapid expansion of IoT deployments has intensified cybersecurity threats, notably Distributed Denial of Service DDoS attacks, characterized by increasingly sophisticated patterns. Leveraging Generative AI through On-Device Large Language Models ODLLMs provides a viable solution for real-time...
SICK TDC-X401GL has security vulnerabilities
The SICK TDC-X401GL is a edge computing gateway developed by the German company SICK. The SICK TDC-X401GL has a security vulnerability, which stems from improper validation of login parameters. This vulnerability may allow attackers to redirect users to malicious websites after authentication...
SICK TDC-X401GL has security vulnerabilities
The SICK TDC-X401GL is a edge computing gateway from the German company SICK. The SICK TDC-X401GL has a security vulnerability, which stems from insufficient salt addition in the device’s password. This vulnerability may lead to password extraction attacks...
CVE-2024-41153
Command injection vulnerability in the Edge Computing UI for the TRO600 series radios that allows for the execution of arbitrary system commands. If exploited, an attacker with write access to the web UI can execute commands on the device with root privileges, far more extensive than what the wri...
Web Technologies Security in the AI Era: A Survey of CDN-Enhanced Defenses
The modern web stack, which is dominated by browser-based applications and API-first backends, now operates under an adversarial equilibrium where automated, AI-assisted attacks evolve continuously. Content Delivery Networks CDNs and edge computing place programmable defenses closest to users and...
Toward an Intrusion Detection System for a Virtualization Framework in Edge Computing
Edge computing pushes computation closer to data sources, but it also expands the attack surface on resource-constrained devices. This work explores the deployment of the Lightweight Deep Anomaly Detection for Network Traffic LDPI integrated as an isolated service within a virtualization framewor...
AI: Edge Is All You Need
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EUVD-2024-38951
Malicious code in bioql PyPI...
Flock Safety The Bravo Compute Box 安全漏洞
Flock Safety The Bravo Compute Box is an edge computing device from Flock Safety USA. A security vulnerability exists in Flock Safety The Bravo Compute Box BRAVO00.00local20241017 version, which stems from a disabled secure boot, which could lead to an attacker flashing specially crafted firmware...
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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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,...
Intel Tiber Edge Platform Edge Orchestrator 输入验证错误漏洞
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...
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...