Results 221 to 230 of about 157,047 (316)

An Intrusion Detection System for Network-Initiated Attacks Using a Hybrid Neural Network

, 2006
Stefanos Koutsoutos, Ioannis T. Christou, Sofoklis Efremidis   +2 more
openalex   +1 more source

Towards a Cellular Automata Based Network Intrusion Detection System with Power Level Metric in Wireless Adhoc Networks (IDFADNWCA) [PDF]

, 2008
Pokkuluri Kiran Sree, I. Ramesh Babu
openalex   +1 more source

Exploring Nasal Structural‐Microbial Interactions in Multiple Sclerosis‐Associated Olfactory Impairment

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Olfactory dysfunction is frequently observed in patients with multiple sclerosis (MS); however, its underlying mechanisms remain poorly understood. To date, no studies have directly examined the nasal mucosal microbiota in MS. This study aimed to explore potential relationships among olfactory function, nasal microbiota composition,
Zidan Gao, Zhuoma Danzhen, Yao Li, Junyu Zhu, Lan Chu, Zhang Yang   +5 more
wiley   +1 more source

Machine learning based multi-stage intrusion detection system and feature selection ensemble security in cloud assisted vehicular ad hoc networks. [PDF]

Sci Rep
Christy C, Nirmala A, Teena AMO, Amali AI.   +3 more
europepmc   +1 more source

Intrusion Detection System for IoT: Analysis of PSD Robustness. [PDF]

Sensors (Basel), 2023
Sanogo L, Alata E, Takacs A, Dragomirescu D.   +3 more
europepmc   +1 more source

Plasma p‐tau181 as a Marker of Conversion to Alzheimer's Disease Dementia and Worsening in Cognitive Functions in Subjective Cognitive Decline and Mild Cognitive Impairment: A Longitudinal Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Plasma p‐tau181 has proven to be a promising diagnostic and prognostic tool in the earliest phases of Alzheimer's disease (AD). We aimed to evaluate the prognostic role of p‐tau181 in predicting conversion to AD dementia and worsening in cognition in mild cognitive impairment (MCI) and subjective cognitive decline (SCD).
Giulia Giacomucci, Assunta Ingannato, Chiara Crucitti, Silvia Bagnoli, Elisa Marcantelli, Sonia Padiglioni, Valentina Moschini, Carmen Morinelli, Laura Falsini, Sandro Sorbi, Valentina Berti, Benedetta Nacmias, Valentina Bessi   +12 more
wiley   +1 more source

A Lightweight Intrusion Detection System for Internet of Things: Clustering and Monte Carlo Cross-Entropy Approach. [PDF]

Sensors (Basel)
Almalawi A.
europepmc   +1 more source

A Multi-Layer Intrusion Detection System for SOME/IP-Based In-Vehicle Network. [PDF]

Sensors (Basel), 2023
Luo F, Yang Z, Zhang Z, Wang Z, Wang B, Wu M.   +5 more
europepmc   +1 more source

Development of a personalized visualization and analysis tool to improve clinical care in complex multisystem diseases with application to scleroderma

Arthritis Care &Research, Accepted Article.
Background In complex diseases, it is challenging to assess a patient's disease state, trajectory, treatment exposures, and risk of multiple outcomes simultaneously, efficiently and at the point of care. Methods We developed an interactive patient‐level data visualization and analysis tool (VAT) that automates illustration of a scleroderma patient's ...
Ji Soo Kim, John Scott, Lauren Fisher, Lauren N. Smith, Willie Stewart, Adrianne Woods, Rob Smithwright, Diane Koher, Parastoo Aslanbeik, Aalok B. Shah, Brad Tibbils, Samantha I. Pitts, Ayse P. Gurses, Yushi Yang, Ana‐Maria Orbai, Antony Rosen, Laura K. Hummers, Scott L. Zeger, Ami A. Shah   +18 more
wiley   +1 more source

Anomaly Detection in Intrusion Detection Systems

Intrusion detection systems (IDS) play a critical role in network security by monitoring systems and network traffic to detect anomalies and attacks. This study explores the different types of IDS, including host-based and network-based, along with their deployment scenarios.
openaire   +2 more sources