127 matches found
Cybersecurity in Edge Computing: A Trust-Aware Federated Hybrid Intrusion Detection Framework
Edge computing has emerged as a critical computing paradigm in modern distributed systems by migrating data processing closer to end users and Internet of Things IoT devices. While this paradigm decentralizes processes, minimizes latency, and reduces backhaul bandwidth congestion, it exponentiall...
Improving Service Availability in KubeEdge-Based Architectures Using Lightweight Intrusion Detection
The increasing adoption of the Internet of Things IoT and cloud computing has accelerated the evolution of edge computing paradigms 1. Industry forecasts estimate that the number of connected IoT devices will reach approximately 50 billion by 2030, following an estimated 38 billion connections by...
Trust in Edge-Enabled IoT Security: Features, Challenges and Research Directions
Providing autonomous intelligence, pervasive connectivity and usability to human life and industry has led to the emergence of the Internet of Things IoT. To support time-sensitive and resource-constrained applications, IoT systems nowadays increasingly rely on edge computing. This brings...
ABB Ability Edgenius
SUMMARY ABB is aware of public reports of a vulnerability CVE‑2026‑31431 Copy Fail in the product versions listed as affected in the advisory. An update is available that resolves a publicly reported vulnerability. CVE‑2026‑31431 Copy Fail is a Linux kernel vulnerability that may allow a locally...
What Changes When You Move Your Logic to the Smarter, More Connected Edge?
Discover how moving logic like mass redirects, data transformation, and bot triage to Akamai Functions lowers latency, reduces origin load, and cuts costs...
Microsoft Azure Stack Edge has a vulnerability related to input validation.
Microsoft Azure Stack Edge is a Azure-hosted device by Microsoft that integrates Azure computing, storage, and intelligent features at the edge. There are security vulnerabilities present in Microsoft Azure Stack Edge. Attackers can exploit these vulnerabilities to execute code remotely...
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 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...
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...
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...
EUVD-2024-38951
Malicious code in bioql PyPI...
Flock Safety The Bravo Compute Box security vulnerabilities
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...