Tags → #deep learning

Tools
CNN Model Proposed for Cyberattack Detection in IoMT
Nov 21, 2024 A proposed Convolutional Neural Network (CNN) model aims to enhance cybersecurity in the Internet of Medical Things (IoMT) by achieving high accuracy in detecting cyberattacks, while also addressing challenges related to real-time performance and integration within healthcare networks.
Tools
DexRay: New Approach for Image-Based Malware Detection
Nov 21, 2024 Recent research introduces DexRay, a novel pipeline for image-based malware detection that converts bytecode from DEX files into grey-scale vector images processed by a 1-dimensional Convolutional Neural Network, achieving a high detection rate on a large dataset.
Vulnerabilities
Study Reveals Vulnerabilities in Deep Learning Systems
Nov 21, 2024 A recent study has identified significant vulnerabilities in deep learning systems related to Trojan attacks, highlighting the need for enhanced security measures as these models are increasingly used in critical applications.
Tools
Backdoor Attacks on Deep Learning Systems: New Toolkit Introduced
Nov 19, 2024 The article discusses the increasing significance of backdoor attacks on deep learning systems and introduces BackdoorMBTI, a toolkit designed to evaluate these attacks across multiple data modalities.
Tools
New System LProtector Addresses Cybersecurity Vulnerability Detection Challenges
Nov 15, 2024 Researchers have introduced LProtector, an automated vulnerability detection system designed for C and C++ codebases, which utilizes advanced techniques to improve detection accuracy in complex software systems.
Vulnerabilities
Study Examines Vulnerabilities in MAYO Digital Signature Scheme
Nov 15, 2024 A recent study has revealed significant vulnerabilities in the MAYO digital signature scheme to single-trace side-channel attacks, highlighting the need for robust countermeasures in post-quantum cryptography implementations.
Tools
New Face Anonymization Technique Enhances Privacy Protection
Nov 14, 2024 A new face anonymization technique utilizing diffusion models has been developed, demonstrating improved privacy protection while maintaining image quality and facial attributes.
Threats
Rise in Server-Side Script Attacks and Detection Methods
Nov 14, 2024 The adoption of cloud technologies is increasing among businesses, leading to a rise in server-side script attacks that pose significant security challenges.
Tools
Okta Enhances Cybersecurity Event Detection with Autoencoders
Nov 13, 2024 Okta is enhancing its cybersecurity event detection capabilities by integrating unsupervised learning techniques, specifically autoencoders, to improve the analysis of user behavior patterns and reduce false positives in threat identification.
Industry
Intellectual Property Protection for Deep Learning Models Discussed
Nov 12, 2024 The tech industry is increasingly recognizing the critical importance of Intellectual Property protection for deep learning models and datasets amid rising concerns over unauthorized reproduction and distribution.