Cyberterrorism
A new study on the asynchronous H-infinity control problem of discrete-time hidden Markov jump power systems (hMJPSs) under cyber attacks has been conducted by researchers at Guilin University of Electronic Technology. The research introduces a hidden Markov jump process with unknown information to precisely capture the dynamic characteristics of transient
Cyberterrorism
Researchers from Chongqing University of Posts and Telecommunications have published a new study on the secure intermittent impulsive synchronization control protocol for leader-following multi-agent systems (LF-MASs) in the presence of sensor delays and cyber attacks. This novel protocol is designed to tackle the challenging problem of mean-square bounded synchronization in
Cyberterrorism
A team of researchers at Qiqihar University has proposed a novel approach to integral sliding mode leader-following consensus tracking control for nonlinear multi-agent systems with homogeneous dynamics under hybrid cyber attacks. The significance of this work lies in its ability to enhance system resilience in adversarial environments while optimizing resource
Cyberterrorism
Research has shown that Software-Defined Networking (SDN) offers centralized control and programmability, but also introduces vulnerabilities, particularly to Distributed Denial of Service (DDoS) attacks. Traditional DDoS detection methods often fall short in SDN due to high false-positive rates and limited adaptability to evolving network traffic. A novel Deep Neural Network
Cyberterrorism
China's Ministry of State Security on Sunday alleged that the US National Security Agency carried out a cyberattack on its National Time Service Center, targeting the facility's sensitive information and timing systems. The alleged attack, which took place in 2022 and 2023, is said to have
Cyberterrorism
China on Sunday accused the U.S. National Security Agency of carrying out cyberattacks on its national time center, with potential disruptions to network communications, financial systems, and power supply. According to the Ministry of State Security, the U.S. agency exploited vulnerabilities in a foreign mobile phone brand'
Cyberterrorism
China's Ministry of State Security on Sunday alleged that the US National Security Agency carried out a cyberattack on its National Time Service Center, targeting the facility's sensitive information and timing systems. The alleged attack, which took place in 2022 and 2023, is said to have
Artificial intelligence
Policy makers, cybersecurity leaders, and innovators gathered at the 45th edition of GITEX GLOBAL 2025 to address the pressing question of securing a world powered by AI and data. The event highlighted the need for a unified global response that prioritizes security, ethics, and trust in AI-driven progress. As digital
Artificial intelligence
A recent study has proposed a hybrid framework for real-time vulnerability detection that combines semantic encoding, structural analysis, and lightweight prioritization to improve both robustness and explainability. The framework, designed with DevSecOps integration in mind, utilizes a combination of Bidirectional Encoder Representations from Transformers (BERTs), Deep Graph Convolutional Neural Networks
Artificial intelligence
Researchers at Birzeit University have been investigating the potential of Large Language Models (LLMs) in cybersecurity, discovering that these models are transforming the field with their advanced language understanding and contextual reasoning. The study found that LLMs can tackle complex challenges across domains such as the Internet of Things (IoT)
Artificial intelligence
Researchers from the School of Arts in Sao Paulo, Brazil, have published a new report on artificial intelligence, highlighting the growing sophistication of cyber threats and the need for more effective incident response systems. The study presents MICRA (Modular Intelligent Cybersecurity Response Architecture), a conceptual proposal that integrates machine learning,
Artificial intelligence
Research at the National Aerospace University aimed to expand the understanding of artificial intelligence (AI) attack scenarios and develop effective protection mechanisms against them. Using the triadic principle, the study investigated attacks on traditional systems and AI systems, enhanced these attacks using AI, and employed AI for cybersecurity defense. The
