Results 51 to 60 of about 166,319 (306)
Fluorescent probes allow dynamic visualization of phosphoinositides in living cells (left), whereas mass spectrometry provides high‐sensitivity, isomer‐resolved quantitation (right). Their synergistic use captures complementary aspects of lipid signaling. This review illustrates how these approaches reveal the spatiotemporal regulation and quantitative
Hiroaki Kajiho +3 more
wiley +1 more source
CSI-based passive intrusion detection bound estimation in indoor NLoS scenario
Passive intrusion detection is important for many indoor safety applications. By utilizing widespread WiFi infrastructures, channel state information (CSI) based intrusion detection methods have attractive advantages such as low cost, non-line-of-sight ...
Linqing Gui, Wenyang Yuan, Fu Xiao
doaj +1 more source
Pemanfaatan Intrusion Detection System (Ids) Sebagai Otomatisasi Konfigurasi Firewall Berbasis Web Service Menggunakan Arsitektur Representational State Transfer (Rest) [PDF]
Many things can destabilize a computer network connections, both with regard to hardware and software. Therefore, we need a technique for network security, one of them is firewall.
Astuti, Y. (Yenni) +2 more
core
Tree-based Intelligent Intrusion Detection System in Internet of Vehicles
The use of autonomous vehicles (AVs) is a promising technology in Intelligent Transportation Systems (ITSs) to improve safety and driving efficiency. Vehicle-to-everything (V2X) technology enables communication among vehicles and other infrastructures ...
Hamieh, Ismail +3 more
core +1 more source
In this study, we present the structure of AcrIE8.1, a previously uncharacterized anti‐CRISPR protein that inhibits the type I‐E CRISPR‐Cas system. Through a combination of structural and biochemical analyses, we demonstrate that AcrIE8.1 directly binds to the Cas11 subunit of the Cascade complex to inhibit the CRISPR‐Cas system.
Young Woo Kang, Hyun Ho Park
wiley +1 more source
This 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
Security Enrichment in Intrusion Detection System Using Classifier Ensemble
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
By dawn or dusk—how circadian timing rewrites bacterial infection outcomes
The circadian clock shapes immune function, yet its influence on infection outcomes is only beginning to be understood. This review highlights how circadian timing alters host responses to the bacterial pathogens Salmonella enterica, Listeria monocytogenes, and Streptococcus pneumoniae revealing that the effectiveness of immune defense depends not only
Devons Mo +2 more
wiley +1 more source
A Novel Approach to Android Malware Intrusion Detection Using Zero-Shot Learning GANs
This study proposes an innovative intrusion detection system for Android malware based on a zero-shot learning GAN approach. Our system achieved an accuracy of 99.99%, indicating that this approach can be highly effective for identifying intrusion ...
Syed Atir Raza Shirazi, Mehwish Shaikh
doaj
Applying Bag of System Calls for Anomalous Behavior Detection of Applications in Linux Containers
In this paper, we present the results of using bags of system calls for learning the behavior of Linux containers for use in anomaly-detection based intrusion detection system.
Abed, Amr S. +2 more
core +1 more source

