Results 101 to 110 of about 3,338,637 (201)

Improvement of Distributed Denial of Service Attack Detection through Machine Learning and Data Processing

Mathematics
The early and accurate detection of Distributed Denial of Service (DDoS) attacks is a fundamental area of research to safeguard the integrity and functionality of organizations’ digital ecosystems.
Fray L. Becerra-Suarez, Ismael Fernández-Roman, Manuel G. Forero   +2 more
doaj   +1 more source

A Formal Method for Attack Modeling and

, 2008
This paper presents a formal methodology for attack modeling and detection for networks. Our approach has three phases. First, we extend the basic attack tree approach [1] to capture (i) the temporal dependencies between components, and (ii) the ...
Seyit Ahmet Çamtepe, Bülent Yener, Detection Seyit Ahmet   +2 more
core  

Detection results with different datasets with attack size varies.

, 2018
Detection results with different datasets with attack size varies.
Tian Cheng (709615), Qiang Qu (316561), Jun Zeng (403080), Junhao Wen (776881), Wei Zhou (24328)   +4 more
core   +1 more source

Ofatumumab in Myelin Oligodendrocyte Glycoprotein Antibody–Associated Disease: A Comparison With Rituximab

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To evaluate the efficacy and safety of ofatumumab in patients with myelin oligodendrocyte glycoprotein antibody–associated disease (MOGAD), and compare it with rituximab. Methods We conducted a single–center, observational study including 22 MOGAD patients treated with ofatumumab and 21 treated with rituximab.
Yuxin Fan, Lei Zhou, Jingzi ZhangBao, Hongmei Tan, Zhouzhou Wang, Chao Quan   +5 more
wiley   +1 more source

An Efficient Hybrid Approach Based on Deep Learning and Stacking Ensemble Using the Whale Optimization Algorithm for Detecting Attacks in IoT Devices

Engineering Reports
With the increasing proliferation of the Internet of Things (IoT) and the rise of cyber‐attacks targeting these devices, the need for efficient attack detection methods has become increasingly urgent.
Reza Tavoli, Elaheh Rezvani, Mirsaeid Hosseini Shirvani   +2 more
doaj   +1 more source

Ensuring Zero Trust Security in Consumer Internet of Things Using Federated Learning-Based Attack Detection Model

IEEE Access
The rising adoption of Consumer Internet of Things (CIoT) devices brings heightened concerns about security vulnerabilities and privacy breaches. Given their connection to daily routine and data collection abilities, it is vital to protect individual ...
Ali M. Al-Sharafi, Fatma S. Alrayes, Nuha Alruwais, Mohammed Maray, Asma Alshuhail, Abdulbasit A. Darem, Shoayee Dlaim Alotaibi, Mohammed Abdullah Al-Hagery   +7 more
doaj   +1 more source

White Matter Hyperintensity Burden and Short‐Interval Change Associated With Sleep Apnoea in the UK Biobank

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background and Purpose White matter hyperintensities (WMH) are a core neuroimaging marker of cerebral small vessel disease (CSVD). Sleep apnoea (SA) is a recognized vascular risk factor, but its associations with regional WMH burden, short‐interval WMH change and cognitive performance in population‐based cohorts remain incompletely defined. We
Peng Cheng, Diego Z. Carvalho, Shahid Karim, Anwar Chahal, Virend K. Somers   +4 more
wiley   +1 more source

Efficient attack detection and data aggregation algorithm

Tongxin xuebao, 2012
An efficient algorithm of attack detection and data aggregation for wireless multimedia sensor networks based on the previous work was proposed.The proposed algorithm concludes the action trait of sensor nodes from their attribute vectors without any ...
Hong-bing CHENG, Chun-ming RONG, Xiao HUANG, Skjalg EGGEN, Qing-kai ZENG   +4 more
doaj  

Influenza Vaccination Responses in Disabled Stroke Patients: A Single‐Center Prospective Observational Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective This study aimed to investigate the immunological response to influenza vaccination, the incidence and severity of influenza infection, and the side effects of the vaccination in patients with ischemic stroke. Methods This prospective observational study was conducted between 2023 and 2024 at Ramathibodi Hospital.
Achiraya Pakngao, Sureerat Suwatcharangoon, Pintip Ngamjanyapron, Kobporn Boonnak, Thanitta Suangtamai, Porpon Rotjanapan   +5 more
wiley   +1 more source

DNS Amplification Attack Detection Using Passive DNS Analysis

, 2014
This thesis is focused on the analysis and detection of DNS Amplification attack which is type of the DoS attack. Introduction of this thesis is focused on fundamental theories involving computer networks, DNS and DoS attacks.
Míšaný, Daniel
core