Results 41 to 50 of about 404,854 (339)
Toward Network-based DDoS Detection in Software-defined Networks [PDF]
, 2018 To combat susceptibility of modern computing systems to cyberattack, identifying and disrupting malicious traffic without human intervention is essential.
Chaves Luciano Jerez +4 more
core +1 more source
Intrusion Detection in SCADA Networks [PDF]
, 2010 Supervisory Control and Data Acquisition (SCADA) systems are a critical part of large industrial facilities, such as water distribution infrastructures. With the goal of reducing costs and increasing efficiency, these systems are becoming increasingly interconnected. However, this has also exposed them to a wide range of network security problems.
Barbosa, Rafael Ramos Regis, Pras, Aiko
openaire +2 more sources
FEBS Letters, EarlyView.Metabolic dysfunction‐associated steatotic liver disease (MASLD) affects nearly one‐third of the global population and poses a significant risk of progression to cirrhosis or liver cancer. Here, we discuss the roles of hepatic dendritic cell subtypes in MASLD, highlighting their distinct contributions to disease initiation and progression, and their ...
Camilla Klaimi +3 more
wiley +1 more source
Heterogeneous Domain Adaptation for IoT Intrusion Detection: A Geometric Graph Alignment Approach [PDF]
arXiv, 2023 Data scarcity hinders the usability of data-dependent algorithms when tackling IoT intrusion detection (IID). To address this, we utilise the data rich network intrusion detection (NID) domain to facilitate more accurate intrusion detection for IID domains.
arxiv
Evaluation of Machine Learning Algorithms for Intrusion Detection System
, 2018 Intrusion detection system (IDS) is one of the implemented solutions against harmful attacks. Furthermore, attackers always keep changing their tools and techniques. However, implementing an accepted IDS system is also a challenging task.
Alkasassbeh, Mouhammd +3 more
core +1 more source
From Intrusion Detection to Intrusion Detection and Diagnosis: An Ontology-Based Approach [PDF]
, 2009 Currently available products only provide some support in terms of Intrusion Prevention and Intrusion Detection, but they very much lack Intrusion Diagnosis features. We discuss the limitations of current Intrusion Detection System (IDS) technology, and propose a novel approach - which we call Intrusion Detection & Diagnosis System (ID2S) technology ...
COPPOLINO, Luigi +3 more
openaire +4 more sources
FEBS Letters, EarlyView.The NlpC_P60 superfamily of peptidases is recognised by its key role in bacterial cell wall homeostasis. Recently, studies have also described the involvement of NlpC_P60‐like enzymes in bacterial competitive mechanisms and pathogenesis across several lineages.
Catharina dos Santos Silva +1 more
wiley +1 more source
DronesIntrusion detection is often used in scenarios such as airports and essential facilities. Based on UAVs equipped with optical payloads, intrusion detection from an aerial perspective can be realized.
Yao Xu +4 more
doaj +1 more source
An intrusion detection algorithm for sensor network based on normalized cut spectral clustering.
PLoS ONE, 2019 Sensor network intrusion detection has attracted extensive attention. However, previous intrusion detection methods face the highly imbalanced attack class distribution problem, and they may not achieve a satisfactory performance.
Gaoming Yang +4 more
doaj +1 more source
The power of microRNA regulation—insights into immunity and metabolism
FEBS Letters, EarlyView.MicroRNAs are emerging as crucial regulators at the intersection of metabolism and immunity. This review examines how miRNAs coordinate glucose and lipid metabolism while simultaneously modulating T‐cell development and immune responses. Moreover, it highlights how cutting‐edge artificial intelligence applications can identify miRNA biomarkers ...
Stefania Oliveto +2 more
wiley +1 more source