Results 41 to 50 of about 56,942 (262)
The KT-BRST complex of a degenerate Lagrangian system [PDF]
, 2007 Quantization of a Lagrangian field system essentially depends on its degeneracy and implies its BRST extension defined by sets of non-trivial Noether and higher-stage Noether identities.
D. Bashkirov +14 more
core +1 more source
Hardening DGA Classifiers Utilizing IVAP [PDF]
2019 IEEE International Conference on Big Data (Big Data), 2019 Domain Generation Algorithms (DGAs) are used by malware to generate a deterministic set of domains, usually by utilizing a pseudo-random seed. A malicious botmaster can establish connections between their command-and-control center (C&C) and any malware-infected machines by registering domains that will be DGA-generated given a specific seed, rendering
Grumer, Charles +4 more
openaire +2 more sources
Enhancing the Diagnostic Accuracy of DGA Techniques Based on IEC-TC10 and Related Databases
IEEE Access, 2021 Investigating and enhancing the accuracy of widespread dissolved gas analysis (DGA) techniques based on IEC-TC10 and related databases was implemented. The current work aimed to help the experts to diagnose the transformers’ faults accurately.
O. Gouda, S. H. El-hoshy, S. Ghoneim
semanticscholar +1 more source
Satellites of Legendrian knots and representations of the Chekanov-Eliashberg algebra
, 2012 We study satellites of Legendrian knots in R^3 and their relation to the Chekanov-Eliashberg differential graded algebra of the knot. In particular, we generalize the well-known correspondence between rulings of a Legendrian knot in R^3 and augmentations
Ng, Lenhard, Rutherford, Dan
core +1 more source
DGA-GNN: Dynamic Grouping Aggregation GNN for Fraud Detection
AAAI Conference on Artificial IntelligenceFraud detection has increasingly become a prominent research field due to the dramatically increased incidents of fraud. The complex connections involving thousands, or even millions of nodes, present challenges for fraud detection tasks.
Mingjiang Duan +5 more
semanticscholar +1 more source
Deep Learning Approach to DGA Classification for Effective Cyber Security
December, 2021 In recent years, invaders are increasing rapidly in an internet world. Generally, in order to detect the anonymous attackers algorithm needs more number of features. Many algorithms fail in the efficiency of detection malicious code.
Karunakaran P
semanticscholar +1 more source
DGA-based botnet detection toward imbalanced multiclass learning
Tsinghua Science and Technology, 2021 Botnets based on the Domain Generation Algorithm (DGA) mechanism pose great challenges to the main current detection methods because of their strong concealment and robustness.
Yijing Chen +4 more
semanticscholar +1 more source
A New Multi-Path Hybrid Classifier for Transformer Oil Fault Diagnostic
ENP Engineering Science JournalThis work aims to provide advances in diagnosis algorithms using intelligent techniques and represents an application in fault detection and classification in oil-immersed power transformers.
Youcef Benmahamed +5 more
doaj +1 more source
Dental care and treatments provided under general anaesthesia in the Helsinki Public Dental Service
BMC Oral Health, 2012 Background Dental general anaesthesia (DGA) is a very efficient treatment modality, but is considered only in the last resort because of the risks posed by general anaesthesia to patients’ overall health.
Savanheimo Nora +3 more
doaj +1 more source
Analyzing the real-world applicability of DGA classifiers [PDF]
ARES, 2020 Separating benign domains from domains generated by DGAs with the help of a binary classifier is a well-studied problem for which promising performance results have been published.
Arthur Drichel +3 more
semanticscholar +1 more source