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<title>Channels - Cracking IoT security: can LLMs outsmart static analysis tools? :: FRELIP Discovery
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Do code LLMs do static analysis?
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ContractFull: a rapid and comprehensive static analysis tool for Ethereum smart contracts
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Role of IoT in Disaster Monitoring and Response: A Comprehensive Review
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Powering Tomorrow Safely: Handling IoT Cybersecurity Issues and Ethical Energy Systems Environments
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IoT Adoption for Agricultural Transformation in Developing Countries: Challenges and Opportunities - A case of Uganda
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Robustness evaluation and enhancement of LLMs in code generation: an empirical study
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CrackArmor Exposed: Critical Flaws in AppArmor Put Millions of Linux Systems at Risk
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A Review on Network Intrusion detection systems based on Machine Learning, Deep Learning and Blockchain for IoT-based healthcare systems
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Prompt engineering in LLMs for automated unit test generation: A large-scale study
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A Supervised Intrusion Detection System Leveraging Machine Learning for Secure Smart Education in the Internet of Education (IoEd)
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Securing Fog-assisted IoT: An Adaptable and Efficient Threat Identification Approach
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Implicit security requirements classification with large language models using the OWASP application security verification standard: a shift-left approach
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Linux Kernel Developers Adopt New Fuzzing Tools
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The Need for Cloud Security in a Modern Business Environment
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Investigating cross-market android apps: Security, protection, and components
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Firefox 149 Arrives with Built-In VPN, Split View, and Smarter Browsing Tools
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Less is more: usefulness of data flow diagrams and large language models for security threat validation
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Blender 5.1 Released: Faster Workflows, Smarter Tools, and Major Performance Gains
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Thunderbird 150 Lands on Linux: Smarter Encryption, Better Tools, and a Polished Experience
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An enhanced dynamic key scheduling scheme for PRESENT lightweight cryptography to secure IoT
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Linux Kernel Runtime Guard Reaches 1.0: A Major Milestone for Runtime Kernel Security
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MX Linux 25 ‘Infinity’ Arrives: Debian 13 ‘Trixie’ Base, Modern Tools & A Fresh Installer
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Hi-CIoTNet: A CNN-Based Hierarchical Model for IoT and Critical IoT Traffic Classification
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A model-driven approach to ensure trust in the IoT
