19 research outputs found

    Ontology for host-based anomaly detection

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    Master i nettverks- og systemadministrasjonThis project is about the description of ontologies for anomaly detection in computer systems. The special case of the anomaly detection system in Cfengine is used as a case study. Cfengine was designed at Oslo University College, based on a considerable body of research, and thus we have detailed insight into its operation. The Cfengine environment daemon collects many events in collaboration with cfagent that are presented to a system administrator for further analysis and countermeasures. In this work we want to make use of ontologies to structure the knowledge in a way that makes the process of reasoning about anomalies clearer. Ultimately, one could imagine that ontology capabilities would enable computers to perform automatic filtering process through inferencing and reasoning about their problem space

    Ontology for host-based anomaly detection

    Get PDF
    This project is about the description of ontologies for anomaly detection in computer systems. The special case of the anomaly detection system in Cfengine is used as a case study. Cfengine was designed at Oslo University College, based on a considerable body of research, and thus we have detailed insight into its operation. The Cfengine environment daemon collects many events in collaboration with cfagent that are presented to a system administrator for further analysis and countermeasures. In this work we want to make use of ontologies to structure the knowledge in a way that makes the process of reasoning about anomalies clearer. Ultimately, one could imagine that ontology capabilities would enable computers to perform automatic filtering process through inferencing and reasoning about their problem space.Master i nettverks- og systemadministrasjo

    Ontology for host-based anomaly detection

    No full text
    This project is about the description of ontologies for anomaly detection in computer systems. The special case of the anomaly detection system in Cfengine is used as a case study. Cfengine was designed at Oslo University College, based on a considerable body of research, and thus we have detailed insight into its operation. The Cfengine environment daemon collects many events in collaboration with cfagent that are presented to a system administrator for further analysis and countermeasures. In this work we want to make use of ontologies to structure the knowledge in a way that makes the process of reasoning about anomalies clearer. Ultimately, one could imagine that ontology capabilities would enable computers to perform automatic filtering process through inferencing and reasoning about their problem space

    The influence of treatment by different microorganisms on the development of alternariosis (Alternaria solani) and the potato yield

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    Alternariosis is a dangerous disease of potatoes, which reduces its production in Russia and abroad. Due to the intraspecific variability of the pathogen, wide symptoms and a long period of immunity, it is very difficult to diagnose the disease and take protective measures. As a biological method of protection, eight microorganisms have been tested with an effect on alternaria (Alternariasolani (Ell. Et Mart.). Sor.); these bioagents were screened for their disease inhibitory activity in the field. Studies have shown that the treatment of potatoes with Trichoderma sp. and Bacillus thuringiensis showed a high value for the increase in plant size in both cultivars (44.6, 43.1 cm for Romano), (47.6, 42.7 cm for Labella) compared to control. The number of stems in plants treated with Pseudomonas jessenii was higher (4.0, 4.4 pcs) than in the control of both varieties. Potato processing Trichoderma sp. and Bacillus thuringiensis reduced the spread of the disease in the studied cultivars (23.0, 24.6% for Romano), (17.4, 20.3% for Labella) compared to controls. Treatment of potatoes with Trichoderma sp. and Bacillus thuringiensis increased the weight of the marketable yield on both varieties (18.1, 17.1 t / g for Romano), (19.8, 19.2 t / g for Labella) compared to the control.</jats:p

    Board Characteristics and Muslim Ownership Structure on Value Relevance of Accounting Information: Evidence from Malaysian Shariah Compliant Companies

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    Corporate reporting is considered important because it provides information to assist internal and external corporate annual report users in making informed decisions. The high quality of financial reporting information is really significant, since employing this information can also lead to an increase in investment efficiency. Owners or shareholders need all necessary financial information for decision making. Nevertheless, even though they own the companies but the management is carried out by a pool of professionals – managers and directors. Thus, the directors set the directions and policies for the management team to run the company’s daily affairs. The separation between ownership and managers in firms leads to the agency problem between them. This study looks into the relationship between corporate governance characteristics (the size of the board of directors, the number of Shariah background directors, number of Muslim female in board, Muslim ownership structure) and value relevance of accounting information. Findings show a positive association between board size and value relevance of accounting information in Malaysian Shariah-compliant firms. However, there is not enough evidence to prove Shariah background members on board can enhance the value relevance of accounting information. Regarding the relationship between the presence of Muslim female directors in the board and the value relevance of accounting information, the results reveal insignificant relationship. The findings also indicate that companies with large Muslim ownership are negatively significant for value relevance of accounting information.</jats:p
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