Results 51 to 60 of about 290,193 (257)

An attack detection method based on deep learning for internet of things

Scientific Reports
With the rapid development of Internet of Things (IoT) technology, the number of network attack methods it faces is also increasing, and the malicious network traffic generated is growing exponentially.
Yihan Yu, Yu Fu, Taotao Liu, Kun Wang, Yishuai An   +4 more
doaj   +1 more source

The Effective Methods for Intrusion Detection With Limited Network Attack Data: Multi-Task Learning and Oversampling

IEEE Access, 2020
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, Yun Zhou, Yanjuan Wang, Cheng Zhu, Weiming Zhang   +4 more
doaj   +1 more source

Detection of denial-of-service attacks based on computer vision techniques [PDF]

, 2013
University of Technology, Sydney. Faculty of Engineering and Information Technology.A Denial-of-Service (DoS) attack is an intrusive attempt, which aims to force a designated resource (e.g., network bandwidth, processor time or memory) to be unavailable ...
Tan, Z
core  

Modeling hepatic fibrosis in TP53 knockout iPSC‐derived human liver organoids

Molecular Oncology, EarlyView.
This study developed iPSC‐derived human liver organoids with TP53 gene knockout to model human liver fibrosis. These organoids showed elevated myofibroblast activation, early disease markers, and advanced fibrotic hallmarks. The use of profibrotic differentiation medium further amplified the fibrotic signature seen in the organoids.
Mustafa Karabicici, Soheil Akbari, Ceyda Caliskan, Canan Celiker, Ozden Oz, Leman Binokay, Gökhan Karakulah, Serif Senturk, Esra Erdal   +8 more
wiley   +1 more source

Know Your Enemy: Stealth Configuration-Information Gathering in SDN

, 2016
Software Defined Networking (SDN) is a network architecture that aims at providing high flexibility through the separation of the network logic from the forwarding functions. The industry has already widely adopted SDN and researchers thoroughly analyzed
Conti, Mauro, De Gaspari, Fabio, Mancini, Luigi V.   +2 more
core   +1 more source

Aggressive prostate cancer is associated with pericyte dysfunction

Molecular Oncology, EarlyView.
Tumor‐produced TGF‐β drives pericyte dysfunction in prostate cancer. This dysfunction is characterized by downregulation of some canonical pericyte markers (i.e., DES, CSPG4, and ACTA2) while maintaining the expression of others (i.e., PDGFRB, NOTCH3, and RGS5).
Anabel Martinez‐Romero, Ane Martinez‐Larrinaga, Joaquim Grego‐Bessa, Saioa Garcia‐Longarte, Hielke van Splunder, Ianire Astobiza, Amaia Ercilla, Laura Bozal‐Basterra, Isabel Mendizabal, Pilar Villacampa, Arkaitz Carracedo, Mariona Graupera   +11 more
wiley   +1 more source

Real-time attacks blind detection and analysis algorithm of mobile internet network

Dianzi Jishu Yingyong, 2018
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

Optimal monitoring and attack detection of networks modeled by Bayesian attack graphs

Cybersecurity, 2023
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

Methylation biomarkers can distinguish pleural mesothelioma from healthy pleura and other pleural pathologies

Molecular Oncology, EarlyView.
We developed and validated a DNA methylation–based biomarker panel to distinguish pleural mesothelioma from other pleural conditions. Using the IMPRESS technology, we translated this panel into a clinically applicable assay. The resulting two classifier models demonstrated excellent performance, achieving high AUC values and strong diagnostic accuracy.
Janah Vandenhoeck, Nele De Meulenaere, Thomas Vanpoucke, Joe Ibrahim, Dieter Peeters, Suresh Krishan Yogeswaran, Wen Wen, Paul Van Schil, Jeroen M. H. Hendriks, Jo Raskin, Jan van Meerbeeck, Guy Van Camp, Ken Op de Beeck   +12 more
wiley   +1 more source

Strength through diversity: how cancers thrive when clones cooperate

Molecular Oncology, EarlyView.
Intratumor heterogeneity can offer direct benefits to the tumor through cooperation between different clones. In this review, Kuiken et al. discuss existing evidence for clonal cooperativity to identify overarching principles, and highlight how novel technological developments could address remaining open questions.
Marije C. Kuiken, Maartje Witsen, Emile E. Voest, Krijn K. Dijkstra   +3 more
wiley   +1 more source