The article raises the problem of optimization and legitimization of work of the Heart Team. It also described the background and international experience, provided an overview of the recent international guidelines in relation to management of revasculization in patients with stable coronary artery disease. The article presents an experience of the I. P. Pavlov First Saint- Petersburg State Medical University.
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A novel deep synthesis-based insider intrusion detection (DS-IID) model for malicious insiders and AI-generated threats.
Sci Rep
January 2025
College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, 11432, Saudi Arabia.
Insider threats pose a significant challenge to IT security, particularly with the rise of generative AI technologies, which can create convincing fake user profiles and mimic legitimate behaviors. Traditional intrusion detection systems struggle to differentiate between real and AI-generated activities, creating vulnerabilities in detecting malicious insiders. To address this challenge, this paper introduces a novel Deep Synthesis Insider Intrusion Detection (DS-IID) model.
View Article and Find Full Text PDFA cost-effective adaptive repair strategy to mitigate DDoS-capable IoT botnets.
PLoS One
December 2024
School of Big Data & Software Engineering, Chongqing University, Chongqing, China.
Distributed denial of service (DDoS) is a type of cyberattack in which multiple compromised systems flood the bandwidth or resources of a single system, making the flooded system inaccessible to legitimate users. Since large-scale botnets based on the Internet of Things (IoT) have been hotbeds for launching DDoS attacks, it is crucial to defend against DDoS-capable IoT botnets effectively. In consideration of resource constraints and frequent state changes for IoT devices, they should be equipped with repair measures that are cost-effective and adaptive to mitigate the impact of DDoS attacks.
View Article and Find Full Text PDFHard stop: reestablishing the significance of abstinence in the treatment of late stage ultra-processed food addiction.
Front Psychiatry
November 2024
Renascent Foundation, Toronto, ON, Canada.
Addiction is a complex neurobiological disorder characterized by compulsive drug-seeking and use despite harmful consequences. While abstinence-based approaches have long been the cornerstone of addiction treatment, recent years have seen legitimate challenges from harm reduction clinicians, and within the food addiction realm, the eating disorder treatment practitioners. This perspective emphasizes the role of abstinence in food addiction recovery using the Koob model and its concept of hyperkatifeia despite these reservations.
View Article and Find Full Text PDFDeep Reinforcement Learning-Driven Jamming-Enhanced Secure Unmanned Aerial Vehicle Communications.
Sensors (Basel)
November 2024
School of Cyberspace Science and Technology, Beijing Institute of Technology, Beijing 100081, China.
Article Synopsis
- UAV communications can be easily intercepted due to the open nature of wireless channels, prompting a need for more secure methods.
- The paper presents a strategy that enhances the minimum secrecy rate by using interference technology, involving multiple UAV base stations and dedicated jammers to disrupt eavesdroppers.
- Optimization of parameters like user association and UAV trajectories is approached through advanced algorithms, with the multi-agent soft actor-critic (MASAC) showing a significant increase in secrecy rates compared to other methods.
Multi-Intelligent Reflecting Surfaces and Artificial Noise-Assisted Cell-Free Massive MIMO Against Simultaneous Jamming and Eavesdropping.
Sensors (Basel)
November 2024
PLA Army Engineering University, Nanjing 210007, China.
In a cell-free massive multiple-input multiple-output (MIMO) system without cells, it is assumed that there are smart jammers and disrupters (SJDs) that attempt to interfere with and eavesdrop on the downlink communications of legitimate users. A secure transmission scheme based on multiple intelligent reflecting surfaces (IRSs) and artificial noise (AN) is proposed. First, an access point (AP) selection strategy based on user location information is designed, which aims to determine the set of APs serving users.
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