Results 81 to 90 of about 53,015 (296)
Intrusion Detection with OMNeT++ [PDF]
Proceedings of the Second International ICST Conference on Simulation Tools and Techniques, 2009 Network simulators serve a variety of purposes. Compared to the cost, time, and effort involved in setting up an entire test bed containing different types of network devices, network simulators are relatively fast and inexpensive. Computer intrusions are occurring almost routinely and have become a major issue in our networked society.
openaire +2 more sources
Molecular Oncology, EarlyView.In luminal (ER+) breast carcinoma (BC), miRNA profiling identified miR‐195‐5p as a key regulator of proliferation that targets CHEK1, CDC25A, and CCNE1. High CHEK1 expression correlates with worse relapse‐free survival after chemotherapy, especially in patients with luminal A subtype.
Veronika Boušková +14 more
wiley +1 more source
Applied System InnovationThis research utilizes machine learning (ML), and especially deep learning (DL), techniques for efficient feature extraction of intrusion attacks.
Samuel Kofi Erskine
doaj +1 more source
Intrusion Detection for IoT Based on Improved Genetic Algorithm and Deep Belief Network
IEEE Access, 2019 With the advent of the Internet of Things (IoT), the security of the network layer in the IoT is getting more and more attention. The traditional intrusion detection technologies cannot be well adapted in the complex Internet environment of IoT.
Ying Zhang, Peisong Li, Xinheng Wang
doaj +1 more source
ITGAV and SMAD4 influence the progression and clinical outcome of pancreatic ductal adenocarcinoma
Molecular Oncology, EarlyView.In SMAD4‐positive pancreatic ductal adenocarcinoma (PDAC), integrin subunit alpha V (ITGAV) activates latent TGF‐β, which binds to the TGF‐β receptor and phosphorylates SMAD2/3. The activated SMAD2/3 forms a complex with SMAD4, and together they translocate to the nucleus, modulating gene expression to promote proliferation, migration, and invasion. In
Daniel K. C. Lee +9 more
wiley +1 more source
Security Enrichment in Intrusion Detection System Using Classifier Ensemble
Journal of Electrical and Computer Engineering, 2017 In the era of Internet and with increasing number of people as its end users, a large number of attack categories are introduced daily. Hence, effective detection of various attacks with the help of Intrusion Detection Systems is an emerging trend in ...
Uma R. Salunkhe, Suresh N. Mali
doaj +1 more source
Molecular Oncology, EarlyView.This study presents a novel AI‐based diagnostic approach—comprehensive serum glycopeptide spectra analysis (CSGSA)—that integrates tumor markers and enriched glycopeptides from serum. Using a neural network model, this method accurately distinguishes liver and pancreatic cancers from healthy individuals.
Motoyuki Kohjima +6 more
wiley +1 more source
A Multiple Model Cost-Sensitive Approach for Intrusion Detection [PDF]
, 2000 Wei Fan +3 more
openalex +1 more source
Exploring the role of cyclin D1 in the pathogenesis of multiple myeloma beyond cell cycle regulation
Molecular Oncology, EarlyView.Cyclin D1 overexpression altered the cell adhesion pathway, while cyclin D2 upregulation had less impact on pathway enrichment analysis. Multiple myeloma (MM) patients with cyclin D1 overexpression showed reduced CD56 expression and increased circulating tumor cells (CTC) levels, suggesting that cyclin D1 may contribute to MM cell dissemination ...
Ignacio J. Cardona‐Benavides +13 more
wiley +1 more source