Visible to the public Biblio

Filters: Keyword is formal representation  [Clear All Filters]
2020-11-02
Bilanová, Z., Perháč, J..  2019.  About possibilities of applying logical analysis of natural language in computer science. 2019 IEEE 13th International Symposium on Applied Computational Intelligence and Informatics (SACI). :251–256.
This paper deals with the comparison of the most popular methods of a logical analysis of natural language Montague intensional logic and Transparent intensional logic. At first, these logical apparatuses are compared in terms of their founding theoretical principles. Later, the selected sentence is examined through the logical analysis. The aim of the paper is to identify a more expressive logical method, which will be a suitable basis for the future design of an algorithm for the automated translation of the natural language into a formal representation of its meaning through a semantic machine.
2020-02-17
Yin, Mingyong, Wang, Qixu, Cao, Mingsheng.  2019.  An Attack Vector Evaluation Method for Smart City Security Protection. 2019 International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob). :1–7.

In the network security risk assessment on critical information infrastructure of smart city, to describe attack vectors for predicting possible initial access is a challenging task. In this paper, an attack vector evaluation model based on weakness, path and action is proposed, and the formal representation and quantitative evaluation method are given. This method can support the assessment of attack vectors based on known and unknown weakness through combination of depend conditions. In addition, defense factors are also introduced, an attack vector evaluation model of integrated defense is proposed, and an application example of the model is given. The research work in this paper can provide a reference for the vulnerability assessment of attack vector.

2017-02-27
Na, L., Yunwei, D., Tianwei, C., Chao, W., Yang, G..  2015.  The Legitimacy Detection for Multilevel Hybrid Cloud Algorithm Based Data Access. Reliability and Security - Companion 2015 IEEE International Conference on Software Quality. :169–172.

In this paper a joint algorithm was designed to detect a variety of unauthorized access risks in multilevel hybrid cloud. First of all, the access history is recorded among different virtual machines in multilevel hybrid cloud using the global flow diagram. Then, the global flow graph is taken as auxiliary decision-making basis to design legitimacy detection algorithm based data access and is represented by formal representation, Finally the implement process was specified, and the algorithm can effectively detect operating against regulations such as simple unauthorized level across, beyond indirect unauthorized and other irregularities.