Results 31 to 40 of about 26,402 (256)

Research on the risk adjacency matrix based on attack graphs

Tongxin xuebao, 2011
Aimed at the problem that the difficulty to understand the very complicated attack graphs generated by a variety of existing tools,a method of RAM（risk adjacency matrix） based on attack graphs was proposed,and feasibility and efficient of proposed method
YE Yun, XU Xi-shan, JIA Yan, QI Zhi-chang, CHENG Wen-cong   +4 more
doaj   +2 more sources

Epigenetic heterogeneity and plasticity in therapy‐induced tumor states through single‐cell multi‐omics

Molecular Oncology, EarlyView.
Single‐cell multi‐omics reveals epigenetic heterogeneity across therapy‐adaptive tumor states, including quiescent/dormant, drug‐tolerant persister, and EMT‐like phenotypes. By linking regulatory features with state‐associated biomarkers, these approaches inform biomarker‐guided therapeutic strategies for evolving tumors.
Hee Jung Kim, Hwiyeong Lee, Jin Hong, Daechan Park   +3 more
wiley   +1 more source

Attack Graph to Graph Database

IOSR Journal of Computer Engineering, 2014
Databases are an integral part of almost any computing system today, and users heavily rely on the services they provide. When we interact with a computing system, we expect that any data be stored for future use, that the data is able to be looked up quickly, and that we can perform complex queries against the data stored in the database.
openaire   +1 more source

Spatial and single‐nuclei transcriptomics reveals idiosyncratic and generic patterns in papillary and anaplastic thyroid cancers

Molecular Oncology, EarlyView.
Matched spatial transcriptomics and single‐nuclei RNA‐seq were generated for anaplastic and BRAFV600E papillary thyroid cancers revealing generic and tumor‐specific states occurring in cancer cells and in the tumor microenvironment. In this context, cancer dedifferentiation mirrored organoid maturation through ordered thyroid marker gain/loss ...
Adrien Tourneur, Joel Rodrigues Vitória, Manuel Saiselet, Ligia Craciun, Denis Larsimont, Anne Lefort, Frédérick Libert, Carine Maenhaut, Sabine Costagliola, Maxime Tarabichi, Mirian Romitti, Vincent Detours   +11 more
wiley   +1 more source

Alert correlation for intelligent threat detection and response

Intelligent Systems with Applications
With the increasing diversity of IoT devices, keeping IT systems secure is becoming increasingly difficult. Attackers exploit vulnerabilities within the system in order to access sensitive information, typically reaching their objective through several ...
Bronagh Lanigan, Zeinab Rezaeifar, Federico Cruciani, Michael Milliken, Jordan Vincent, Samuel Moore, Muhammad Aaqib, Alan Mills, Pushpinder K. Chouhan, Alfie Beard, Chris D. Nugent, Luke Chen, Alex Healing   +12 more
doaj   +1 more source

Progressive attack graph: a technique for scalable and adaptive attack graph generation

International Journal of Information Security
Abstract In modern computer networks where sophisticated cyber attacks occur daily, a timely cyber risk assessment becomes paramount. Attack Graph (AG) constitutes a highly effective solution for performing cyber risk assessment in the context of multi-step attacks on computer networks.
Alessandro Palma, Claudio Cicimurri, Marco Angelini   +2 more
openaire   +2 more sources

Intrapatient tumour heterogeneity and clonal evolution in an autopsy study of metastatic salivary gland cancer

Molecular Oncology, EarlyView.
Tumour heterogeneity and clonal evolution of metastatic salivary gland cancer were evaluated in two patients with adenoid carcinoma and one patient with myoepithelial carcinoma. Radiology‐guided autopsy enabled multi‐region sampling (total samples n = 149), followed by whole‐genome sequencing and phylogenetic reconstruction (17 tumour samples, 4–7 per ...
Gerben Lassche, Niels J. van Ruitenbeek, Charlotte Adang, Luke O'Gorman, Pui Yuen Lee, Willemijn M. Klein, Adriana C. H. van Engen‐van Grunsven, Jack A. Schalken, Sander Bervoets, Gerald W. Verhaegh, Carla M. L. van Herpen   +10 more
wiley   +1 more source

Imperceptible graph injection attack on graph neural networks

Complex & Intelligent Systems, 2023
AbstractIn recent years, Graph Neural Networks (GNNs) have achieved excellent applications in classification or prediction tasks. Recent studies have demonstrated that GNNs are vulnerable to adversarial attacks. Graph Modification Attack (GMA) and Graph Injection Attack (GIA) are commonly attack strategies.
Yang Chen 0035, Zhonglin Ye, Zhaoyang Wang, Haixing Zhao   +3 more
openaire   +2 more sources

Treatment with KCL‐286, a first‐in‐class retinoic acid receptor‐β (RARβ) agonist, ameliorates neuronal DNA damage and inflammation in a mouse model of Alzheimer's disease

FEBS Open Bio, EarlyView.
Repair of neuronal DNA damage in Alzheimer's disease by KCL‐286. (A) Amyloid‐β oligomers and plaques impair neuronal DNA repair pathways, leading to DNA double‐strand breaks and glial activation. (B) KCL‐286 activates RARβ/RXR signalling via retinoic acid response elements (RAREs), associated with increased BRCA1 expression, enhanced DNA repair and ...
Natasha Hill, Hassan Yousef Othman AlMuallim, Elouisa Maddock, Carl Hobbs, Earl Clarke, Maria B. Goncalves, Jonathan P. T. Corcoran   +6 more
wiley   +1 more source

Identifying Critical Attack Assets in Dependency Attack Graphs [PDF]

, 2008
Attack graphs have been proposed as useful tools for analyzing security vulnerabilities in network systems. Even when they are produced efficiently, the size and complexity of attack graphs often prevent a human from fully comprehending the information conveyed.
Reginald E. Sawilla, Xinming Ou
openaire   +1 more source