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Academic Journal of Engineering and Technology Science, 2024, 7(2); doi: 10.25236/AJETS.2024.070208.

Algorithm Innovation and Integration with Big Data Technology in the Field of Information Security: Current Status and Future Development

Author(s)

Chensha Wang, Yu Li, Lijing Liu

Corresponding Author:
Chensha Wang
Affiliation(s)

Xi'an Peihua University, Xi'an, 710125, China

Abstract

Algorithm innovation and integration with big data technology are essential aspects of advancing information security. This study presents the current status and future development of these areas. Firstly, the existing algorithms in information security are reviewed, highlighting their functionalities and importance. However, challenges such as computational complexity and key management hinder their effectiveness. Secondly, the application of big data technology in information security is discussed, focusing on its role in log analysis, threat intelligence, and behavioral analytics. Despite its benefits, integrating big data technology poses challenges related to data privacy and resource constraints. Thirdly, the intersection of algorithm innovation and big data technology is explored, emphasizing the opportunities for algorithm development and the advantages of leveraging big data for this purpose. By harnessing big data analytics, algorithm developers can enhance the performance and scalability of security algorithms, leading to more effective threat detection and incident response.

Keywords

Algorithm innovation, Big data technology, Information security, Threat detection, Incident response

Cite This Paper

Chensha Wang, Yu Li, Lijing Liu. Algorithm Innovation and Integration with Big Data Technology in the Field of Information Security: Current Status and Future Development. Academic Journal of Engineering and Technology Science (2024) Vol. 7, Issue 2: 45-49. https://doi.org/10.25236/AJETS.2024.070208.

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