Research on intelligent classification of multi-attribute safety information and determination of operating environment

Qi, Xiaofeng; Cui, Tiejun; Shao, Lei; Xing, Yuyan

doi:10.1007/s12652-019-01474-0

Cited by 9 publications

(3 citation statements)

References 23 publications

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“…Information security refers to the security of data when the computer is in use, that is, the network system will not maintain normal operation due to human factors [4][5]. Its security design is to protect computer application software, so as to ensure that user data is not subject to malicious attacks, loss and disclosure [6]. In the traditional sense, due to the openness of the network environment, people have doubts about security.…”

Section: Information Security and Assessment Methodsmentioning

confidence: 99%

Data Security Design in Computer Application Software Development from the Perspective of Information Security Environment

Jie

2024

Proceedings of the First International Conference on Science, Engineering and Technology Practices for Sustainable Development,

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Information security plays a vital role in computer application software development. With the advent of the digital age, a large amount of sensitive information is stored and transmitted. Ensuring the security of this data is critical for individuals and organizations alike. So this paper studies the security of software development from the perspective of information security. This paper mainly uses the method of comparison and experimental testing to analyze the key points of software development and data security strategies. The experimental results show that in the first data, the recording efficiency of the data computer system for encryption is 1468ms, while that of unencrypted recording is 1368ms, a difference of 100ms. The results of the read-write efficiency test show that the operating efficiency of the encrypted database does not decrease significantly, which meets the efficiency requirements of users in actual projects.

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Section: Information Security and Assessment Methodsmentioning

confidence: 99%

Data Security Design in Computer Application Software Development from the Perspective of Information Security Environment

Jie

2024

Proceedings of the First International Conference on Science, Engineering and Technology Practices for Sustainable Development,

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“…On the contrary, if the average fitness value of the population is higher than the fitness value of the individual, the individual corresponds to a higher crossover probability p c and mutation probability p m , and the individual will be eliminated. Therefore, the crossover probability p c and mutation probability p m adjusted by the adaptive algorithm provide the best crossover probability p c and mutation probability p m relative to a solution, which not only maintains the population diversity but also ensures the convergence of the genetic algorithm [ 21 ].…”

Section: Methodsmentioning

confidence: 99%

Multimedia Technology of Spatial Data Mining Based on Genetic Algorithm

Sun

2022

Computational Intelligence and Neuroscience

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In order to make key decisions more conveniently according to the massive data information obtained, a spatial data mining technology based on a genetic algorithm is proposed, which is combined with the k-means algorithm. The immune principle and adaptive genetic algorithm are introduced to optimize the traditional genetic algorithm, and the K-means, GK, and IGK algorithms are compared and analyzed. The results show that, in two different datasets, the objective functions obtained by the K-means algorithm are 94.05822 and 4.10373 × 10 6 , respectively, while the objective functions obtained by the GK and IGK algorithms are 89.8619 and 3.9088 × 10 6 , respectively. The difference between the three algorithms can also be reflected in the data comparison of the number of iterations. The number of iterations required for k-means to reach the optimal solution is 8.21 and 8.4, respectively, which is the most among the three algorithms, while the number of iterations required for IGK to reach the optimal solution is 5.84 and 4.9, respectively, which is the least. Although the time required for K-means is short, by comparison, the IGK algorithm we use can get the optimal solution in relatively less time.

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“…The new definitions and methods of attribute circle classification are proposed by Qi et al (2019). The improvement is using inner attribute polygon and outer attribute polygon to construct the object attribute area.…”

mentioning

confidence: 99%

Special issue on multi-modal information learning and analytics for smart city

Zhou

2020

J Ambient Intell Human Comput

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Research on intelligent classification of multi-attribute safety information and determination of operating environment

Cited by 9 publications

References 23 publications

Data Security Design in Computer Application Software Development from the Perspective of Information Security Environment

Data Security Design in Computer Application Software Development from the Perspective of Information Security Environment

Multimedia Technology of Spatial Data Mining Based on Genetic Algorithm

Special issue on multi-modal information learning and analytics for smart city

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