Springer Science and Business Media LLC
2196-4378
2196-4386
Cơ quản chủ quản: Springer International Publishing AG , SPRINGER INT PUBL AG
Lĩnh vực:
Computational MathematicsComputational MechanicsCivil and Structural EngineeringModeling and SimulationNumerical AnalysisFluid Flow and Transfer Processes
Các bài báo tiêu biểu
A novel approach for phishing detection using URL-based heuristic
- 2014
Together with the growth of e-commerce transaction, Phishing - the act of stealing personal information - rises in quantity and quality. The phishers try to make fake-sites look similar to legitimate sites in terms of interface and uniform resource locator (URL) address. Therefore, the numbers of victim have been increasing due to inefficient methods using blacklist to detect phishing. This paper proposes a new phishing detection approach based on the features of URL. Specifically, the proposed method focuses on the similarity of phishing site's URL and legitimate site's URL. In addition, the ranking of site is also considered as an important factor to decide whether the site is a phishing site. The proposed technique is evaluated with a dataset of 11,660 phishing sites and 5,000 legitimate sites. The results show that the technique can detect over 97% phishing sites.
#Phishing #URL-Based #Heuristic
HOSS: an implementation of the combined finite-discrete element method Abstract Nearly thirty years since its inception, the combined finite-discrete element method (FDEM) has made remarkable strides in becoming a mainstream analysis tool within the field of Computational Mechanics. FDEM was developed to effectively “bridge the gap” between two disparate Computational Mechanics approaches known as the finite and discrete element methods. At Los Alamos National Laboratory (LANL) researchers developed the Hybrid Optimization Software Suite (HOSS) as a hybrid multi-physics platform, based on FDEM, for the simulation of solid material behavior complemented with the latest technological enhancements for full fluid–solid interaction. In HOSS, several newly developed FDEM algorithms have been implemented that yield more accurate material deformation formulations, inter-particle interaction solvers, and fracture and fragmentation solutions. In addition, an explicit computational fluid dynamics solver and a novel fluid–solid interaction algorithms have been fully integrated (as opposed to coupled) into the HOSS’ solid mechanical solver, allowing for the study of an even wider range of problems. Advancements such as this are leading HOSS to become a tool of choice for multi-physics problems. HOSS has been successfully applied by a myriad of researchers for analysis in rock mechanics, oil and gas industries, engineering application (structural, mechanical and biomedical engineering), mining, blast loading, high velocity impact, as well as seismic and acoustic analysis. This paper intends to summarize the latest development and application efforts for HOSS.
Tập 7 Số 5 - Trang 765-787 - 2020
A Self-adaptive Communication Protocol with Application to High Performance Peer to Peer Distributed Computing
- 2010
A self adaptive communication protocol is proposed for peer to peer distributed computing. This protocol can configure itself automatically in function of application requirements and topology changes by choosing the most appropriate communication mode between peers. The protocol was designed in order to be used in conjunction with a decentralized environment for high performance distributed computing. A first set of computational experiments is also presented and analyzed for an optimization application, i.e. nonlinear network flow problems.
#communication protocol #self-adaptive protocol #micro-protocols #high performance computing #peer to peer computing #nonlinear optimization #network flow problems
A unified numerical framework for rigid and compliant granular materials
Tập 5 Số 4 - Trang 517-527 - 2018