Results 51 to 60 of about 61,658 (310)
Recently, many anomaly intrusion detection algorithms have been developed and applied in network security. These algorithms achieve high detection rate on many classical datasets.
Lijian Sun +4 more
doaj +1 more source
Tumour–host interactions in Drosophila: mechanisms in the tumour micro‐ and macroenvironment
This review examines how tumour–host crosstalk takes place at multiple levels of biological organisation, from local cell competition and immune crosstalk to organism‐wide metabolic and physiological collapse. Here, we integrate findings from Drosophila melanogaster studies that reveal conserved mechanisms through which tumours hijack host systems to ...
José Teles‐Reis, Tor Erik Rusten
wiley +1 more source
The detection method of Network attacks in Campus Network [PDF]
In the process of the detection method of network attacks in campus network, with current algorithm, there are defects such as high demand for data and low detection rate for model. Therefore, a network attack detection method based on improved Hidden Markov Model algorithm is proposed.
openaire +1 more source
Glioma cells mainly express the endothelin receptor EDNRB, while EDNRA is restricted to a perivascular tumor subpopulation. Endothelin signaling reduces glioma cell proliferation while promoting migration and a proneural‐to‐mesenchymal transition associated with poor prognosis. This pathway activates Ca2+, K+, ERK, and STAT3 signalings and is regulated
Donovan Pineau +36 more
wiley +1 more source
Policy-driven Network Simulation: a Resilience Case Study [PDF]
Networks must be resilient to challenges such as malicious attacks or network overload and adapt their operation in an autonomous manner. Network simulations enable the testing of complex network scenarios (which would be difficult to emulate using ...
Smith, Paul +2 more
core
Optimal monitoring and attack detection of networks modeled by Bayesian attack graphs
Early attack detection is essential to ensure the security of complex networks, especially those in critical infrastructures. This is particularly crucial in networks with multi-stage attacks, where multiple nodes are connected to external sources ...
Armita Kazeminajafabadi, Mahdi Imani
doaj +1 more source
Somatic mutational landscape in von Hippel–Lindau familial hemangioblastoma
The causes of central nervous system (CNS) hemangioblastoma in Von Hippel–Lindau (vHL) disease are unclear. We used Whole Exome Sequencing (WES) on familial hemangioblastoma to investigate events that underlie tumor development. Our findings suggest that VHL loss creates a permissive environment for tumor formation, while additional alterations ...
Maja Dembic +5 more
wiley +1 more source
Towards Examining Supervised and Unsupervised Learning for IoT Attack Detection
The Internet of Things (IoT) is the term used to describe the numerous physical objects/devices connected to the Internet and collecting and exchanging data globally. IoT devices are especially susceptible to network attacks, including but not limited to
Govindaraju, Nevetha
core
Real-time attacks blind detection and analysis algorithm of mobile internet network
Attack detection algorithms of large scale mobile internet network need the prior information of attack behaviors or supervised learning to attack behaviors, so these algorithms is not real time and applicable, a real-time attacks blind detection and ...
Shi Erying, Wang Zheng
doaj +1 more source
Hippo pathway at the crossroads of stemness and therapeutic resistance in breast cancer
Dysregulation of the Hippo pathway drives nuclear accumulation of YAP/TAZ, activating stemness‐related transcriptional programs that sustain breast cancer stemness and fuel therapeutic resistance across subtypes, underscoring Hippo signaling as a targetable vulnerability. Figure created and edited with BioRender.com.
Giulia Schiavoni +11 more
wiley +1 more source

