A safety simulation analysis algorithm for Altarica language

Wang, Wenru; Shi, Xiaohua; Lu, Xinghai

doi:10.1002/cpe.4990

Cited by 2 publications

(2 citation statements)

References 17 publications

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“…They made the exciting finding that when they applied methods that were influenced by quantum physics, they were able to extract features of interest from malware samples with more accuracy and in a shorter amount of time. The findings of the study [71] indicate that it is quite likely that the use of quantum feature extraction techniques would make it possible to achieve a higher level of precision in the identification of malware families.…”

Section: Literature Reviewmentioning

confidence: 93%

An Investigation of Quantum and Parallel Computing Effects on Malware Families Classification

Taha

2023

JASTT

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The proliferation of malicious software is a major concern for organizations and consumers alike. Malware is used to compromise computer systems and networks for malevolent purposes. Consequently, categorizing malware is essential for safeguarding systems from harmful assaults. Developers of malicious software are always coming up with novel techniques to avoid detection by security researchers. However, in recent years, quantum computing has developed rapidly and shown considerable advantages in a number of sectors, particularly in the area of cybersecurity. A quantum approach may be useful in conjunction with existing software for finding the most often occurring hashes and n-grams that are characteristic of malicious software. The time it takes to map n-grams to their hashes may be reduced if we load the table of hashes and n-grams into a quantum computer. The first step is to utilize Kilogram to identify the most prevalent hashes and n-grams in a large collection of malware. Once the hash table is generated, it is sent into a quantum simulator. The entangled key-value pairs are then searched through a quantum search method to locate the appropriate hash value. In contrast to the quantum algorithm's potential runtime of O(N) in the number of table lookups required to get the requisite hash values, re-computing hashes for a set of n-grams may take on average O(MN) time. The main purpose of this research is to address the significant effects of quantum and parallel computing on malware families’ classification.

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Section: Literature Reviewmentioning

confidence: 93%

An Investigation of Quantum and Parallel Computing Effects on Malware Families Classification

Taha

2023

JASTT

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“…The simulation algorithm 12 we discuss in this paper is based on AltaRica language, which is one of the mainstream modeling languages in the field of safety analysis. Since the mathematical basis of the safety model based on the AltaRica language is the state automaton, the essence of the simulation algorithm is also based on the state automaton.…”

Section: Simulation Algorithmmentioning

confidence: 99%

Optimizing an AltaRica simulator

Wang

Jian

et al. 2019

Concurrency and Computation

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Since the AltaRica language has, in fact, become the European industry standard, the AltaRica-based simulation method is one of the important research contents in the field of safety analysis methods. At the same time, in practical applications, simulations are mostly executed tens of thousands of times. Therefore, it is practical to optimize the execution time of the simulation method. We first analyze the hotspots in the execution of simulation methods and then propose two optimization strategies for two hot issues. The optimization method is designed and implemented by the method of space for time. Finally, the effectiveness and application scenarios of the optimization method are illustrated by experiments with different scale models.Moreover, the experiment data shows that the optimization method is effective in most cases.

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A safety simulation analysis algorithm for Altarica language

Cited by 2 publications

References 17 publications

An Investigation of Quantum and Parallel Computing Effects on Malware Families Classification

An Investigation of Quantum and Parallel Computing Effects on Malware Families Classification

Optimizing an AltaRica simulator

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