Web Service Active Defense Mechanism Based on Automated Software Diversity

Author(s):  
Zhenwu Liu ◽  
Zheng Zhang ◽  
Hao Liu ◽  
Bolin Ma
2016 ◽  
Vol 22 (10) ◽  
pp. 2827-2831 ◽  
Author(s):  
Mohsen Kakavand ◽  
Norwati Mustapha ◽  
Aida Mustapha ◽  
Mohd Taufik Abdullah ◽  
Behjat Ahmadi

2020 ◽  
Vol 1550 ◽  
pp. 032024
Author(s):  
Zhenwu Liu ◽  
Zheng Zhang ◽  
Hao Liu ◽  
Gaofei Zhang ◽  
Yuan Chen

2017 ◽  
Vol 14 (2) ◽  
pp. 158-171 ◽  
Author(s):  
Andrei Homescu ◽  
Todd Jackson ◽  
Stephen Crane ◽  
Stefan Brunthaler ◽  
Per Larsen ◽  
...  

Author(s):  
Per Larsen ◽  
Stefan Brunthaler ◽  
Lucas Davi ◽  
Ahmad-Reza Sadeghi ◽  
Michael Franz

1995 ◽  
Vol 73 (9) ◽  
pp. 1328-1337 ◽  
Author(s):  
A. Beveraggi ◽  
X. Mourichon ◽  
G. Sallé

A study of the first infection stages of banana by Cercospora fijiensis was carried out using an experimental host–parasite system including three cultivars, Yangambi km5 (Musa, AAA, Ibota subgroup), Fougamou (Musa, ABB, Pisang awak subgroup), and Grande naine (Musa, AAA, Cavendish subgroup). These cultivars are representative of three host responses to infection: highly resistant (cessation of the infection process after the first streak stage), partially resistant, and susceptible. Observations on the early stages of infection and the chronology of events linked to the host plant (cellular necrosis) and to the parasite (cessation of growth) showed two different interactions in cvs. Fougamou and Yangambi. These observations were confirmed by an ultrastructural study. Partial resistance in cv. Fougamou appeared to be partly linked to a préexistent anti-fungal, plant phenolic component. In the highly resistant cv. Yangambi, an active defense mechanism took place just after penetration of stomata by the fungus. Key words: Cercospora fijiensis, banana, host–parasite interactions, mechanisms of resistance, polyphenols.


Author(s):  
Gerald C. Gannod ◽  
John T.E. Timm ◽  
Raynette J. Brodie

The Semantic Web promises automated invocation, discovery, and composition of Web services by enhancing services with semantic descriptions. An upper ontology for Web services called OWL-S has been created to provide a mechanism for describing service semantics in a standard, well-defined manner. Unfortunately, the learning curve for semantically-rich description languages such as OWL-S can be steep, especially given the current state of tool support for the language. This chapter describes a suite of automated software tools that we have developed to facilitate the construction of OWL-S specifications. The tools operate in two stages. In the first stage, a Model Driven Architecture technique is used to generate an OWL-S description of a Web service from a UML model. This allows the developer to focus on creating a model of the Web service in a standard UML tool, leveraging existing knowledge. In the second stage, an interactive approach for generating groundings is used. This chapter describes both tools and demonstrates how the use of lightweight interactive tools facilitates creation of OWL-S specifications.


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