Results 61 to 70 of about 11,688 (238)

Medical Reasoning With Large Language Models: A Systematic Review and Evaluation

iNew Medicine, EarlyView.
ABSTRACT Large language models (LLMs) have achieved strong performance on medical exam–style tasks, motivating growing interest in their deployment in real‐world clinical settings. However, clinical decision‐making is inherently safety‐critical, context‐dependent, and conducted under evolving evidence.
Xiaohan Ren, Chenxiao Fan, Wenyin Ma, Hongliang He, Chongming Gao, Xiaoyan Zhao, Fuli Feng   +6 more
wiley   +1 more source

Advanced Hybrid Techniques for Cyberattack Detection and Defense in IoT Networks

SECURITY AND PRIVACY, Volume 8, Issue 2, March/April 2025.
ABSTRACT The Internet of Things (IoT) represents a vast network of devices connected to the Internet, making it easier for users to connect to modern technology. However, the complexity of these networks and the large volume of data pose significant challenges in protecting them from persistent cyberattacks, such as distributed denial‐of‐service (DDoS)
Zaed S. Mahdi, Rana M. Zaki, Laith Alzubaidi   +2 more
wiley   +1 more source

Feature Selection to Enhance DDoS Detection Using Hybrid N-Gram Heuristic Techniques

JOIV: International Journal on Informatics Visualization, 2023
Various forms of distributed denial of service (DDoS) assault systems and servers, including traffic overload, request overload, and website breakdowns.
Andi Maslan, Kamaruddin Malik Bin Mohamad, Abdul Hamid, Hotma Pangaribuan, Sunarsan Sitohang   +4 more
doaj   +1 more source

Detection and classification of DDoS flooding attacks by machine learning method [PDF]

This study focuses on a method for detecting and classifying distributed denial of service (DDoS) attacks, such as SYN Flooding, ACK Flooding, HTTP Flooding, and UDP Flooding, using neural networks.
Zagorodna, Nataliya, Tymoshchuk, Vitaliy, Mytnyk, Mykola, Tymoshchuk, Dmytro, Yasniy, Oleh   +4 more
core   +1 more source

Data privacy model using blockchain reinforcement federated learning approach for scalable internet of medical things

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Internet of Medical Things (IoMT) has typical advancements in the healthcare sector with rapid potential proof for decentralised communication systems that have been applied for collecting and monitoring COVID‐19 patient data. Machine Learning algorithms typically use the risk score of each patient based on risk factors, which could help ...
Chandramohan Dhasaratha, Mohammad Kamrul Hasan, Shayla Islam, Shailesh Khapre, Salwani Abdullah, Taher M. Ghazal, Ahmed Ibrahim Alzahrani, Nasser Alalwan, Nguyen Vo, Md Akhtaruzzaman   +9 more
wiley   +1 more source

Graph neural network‐based attack prediction for communication‐based train control systems

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract The Advanced Persistent Threats (APTs) have emerged as one of the key security challenges to industrial control systems. APTs are complex multi‐step attacks, and they are naturally diverse and complex. Therefore, it is important to comprehend the behaviour of APT attackers and anticipate the upcoming attack actions.
Junyi Zhao, Tao Tang, Bing Bu, Qichang Li   +3 more
wiley   +1 more source

Cloud Survivability Scenarios Under Attacks With and Without Countermeasures

Acta Informatica Pragensia
Background: Despite its increasing importance, cloud computing is vulnerable to Distributed Denial of Service (DDoS) attacks, affecting data centre availability and functionality.
Rachid Beghdad, Faiza Benmenzer, Alaa Eddine Khalfoune   +2 more
doaj   +1 more source

Dynamic Resource Allocation Optimisation and Security‐Resilient Control for Bandwidth‐Limited Network Control Systems With Data Conflicts

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Networked control systems (NCSs) often suffer from performance degradation due to limited communication bandwidth, which can cause data transmission conflicts and packet loss. Existing scheduling strategies may fail to simultaneously meet the real‐time requirements and the importance of multisensor data, and they are particularly vulnerable ...
Da Chen, Kaibo Shi, Bin Guo, Kangkang Sun, Huaicheng Yan, Xiao Cai   +5 more
wiley   +1 more source

The Politics of DDoS Attacks

IEEE Distributed Systems Online, 2007
News about distributed-denial-of-service attacks on Estonian government Web sites might have represented more smoke than fire, but it also revealed a new political battlefield. Networking veterans say public officials' accusations can make ad hoc "hacktivism" seem like a state-sponsored attack. When you add porous network defenses and a credulous media,
openaire   +1 more source

OsMYB306‐OsRAV11 Regulates Resistance of Rice to Striped Stem Borer by Modulating Serotonin Biosynthesis

Plant Biotechnology Journal, EarlyView.
ABSTRACT Striped stem borer (SSB; Chilo suppressalis Walker) is one of the most destructive pests in rice production. Previous studies have demonstrated that SSB infestation induces transcription of OsT5H (tryptamine‐5‐hydroxylase) and biosynthesis of serotonin, a newly recognised phytohormone, and that disruption of serotonin biosynthesis ...
Jia‐Run Zhang, Long Wang, Yang‐Fan Chen, Xiao‐Hao Guo, Meng Jiang, Yuan‐Yuan Tan, Qing Wang, Qiu Qian, Angharad M. R. Gatehouse, Qing‐Yao Shu   +9 more
wiley   +1 more source