Computer cyberspace security mechanism supported by cloud computing

Fu, Zeyuan

doi:10.1371/journal.pone.0271546

Cited by 3 publications

(1 citation statement)

References 29 publications

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“…However, the designed method was not minimized space complexity. A Fuzzy‐C‐Means (FCM) clustering algorithm was designed in reference 16 to enhance the cybersecurity of data transmission on cloud systems. In reference 17, a BMAC method was designed for the distribution of data securely.…”

Section: Related Workmentioning

confidence: 99%

Advanced set containment deep learned Rabin certificateless signcryption for secured transmission with big data in cloud

Sakthivel,

Madhubala

2023

Concurrency and Computation

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SummaryCloud computing is distributed type of technology to offers distant services by the internet to manage, access, and store data on their server. The cloud server manages and distributes large amounts of data. During large amounts of complex structured and unstructured data transactions, in order to protect the data and cloud resources from harmful activities by using the main task of the security system. Therefore, a novel intrusion detection system is required in cloud networks to detect malicious activity and improve secure data transmission. In this paper, a novel technique called advanced set containment deep learned Rabin certificateless signcryption (ADRES) technique is employed to secure data transmission for achieving better confidentiality, and integrity, in cloud computing. The ADRES technique includes three major phases namely Registration and key generation, signcryption, and unsigncryption. At the first phase, the user registers details to the cloud server using secure transmission in big data analytics. The cloud server generates the private and public keys for each registered user. In the second phase, the signcryption process is determined by cloud user that encrypts and generates the signature by using the Rabin cryptosystem. Then encrypted data is stored in a cloud server with minimum space complexity. Finally, the unsigncryption is performed by using signature verification and decryption. First, the signature verification is performed by applying an Advanced set containment Deep belief neural network for identifying the authorized or unauthorized user (i.e., attacker). The authorized user decrypts data using the Rabin cryptosystem to achieve the original data. Thus, secure data transmission is obtained through improved data confidentiality and integrity. Simulation of the proposed ADRES technique is performed with respect to data confidentiality level, data integrity rate, and computation time, space complexity with several numbers of data. Experimental results reported ADRES obtains the improved data transmission security with better confidentiality rate by 7%, integrity by 7%, and lesser time 16% and space complexity by 18% than the conventional methods.

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Section: Related Workmentioning

confidence: 99%

Advanced set containment deep learned Rabin certificateless signcryption for secured transmission with big data in cloud

Sakthivel,

Madhubala

2023

Concurrency and Computation

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Analyzing the Trend of Government Support for Cloud Computing Usage in E-Government Architecture

Younus,

Purnomo,

Mumtaz

et al. 2024

Preprint

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The revolution in improving services to the community carried out by the current government is genuine. It is not easy for government organizations, especially local governments, to directly implement e-government services in full. One solution that is considered appropriate and can solve these problems is the application of cloud computing to support e-government services in local governments. The advantage of cloud computing for e-government is that it can increase security. In contrast, cloud-based storage can be the best choice because data stored in cloud computing is guaranteed security and various regulations and standards of information security practices. We propose a systematic literature review approach to analyze trends in studies on cloud computing of e-government. This research is a type of descriptive qualitative research using a bibliometric approach. To assess the trend of cloud computing in e-government, we use CiteSpace's latest bibliometric software to achieve a comprehensive knowledge overview of cloud computing in e-government. The Findings of this paper reveal a dynamic scenario influenced by advancing technological progress and administrative priorities. Across the globe, governments are progressively acknowledging the capacity of cloud computing to improve the effectiveness, accessibility, and scalability of e-government services. Overall, challenges persist, spanning from concerns regarding data security and privacy, but it also signifies a strategic transition towards harnessing digital technologies to provide more agile, citizen-focused public services.

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Improving Cloud Security Using Distributed Ledger Technology

Patel,

Umesh,

Patel

2023

Privacy Preservation and Secured Data Storage in Cloud Computing

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The confidentiality, integrity, and availability triad is a fundamental principle for information security. The objective of this chapter is to examine this triad where blockchain technology can be applied to enhance security in cloud computing. The current pasture of cloud security is explored to identify the gaps and approaches for using blockchain technology to reduce those gaps are discussed in this chapter. Blockchain technology is well-recognized for its ability to ensure data integrity. The largest gap that can be reduced is in this area. With the decentralized and distributed architecture of blockchain, there are ways to leverage it to improve the availability of cloud security. Confidentiality, where encryption plays a significant role, has the least gap in cloud computing; however, since the responsibility for assuring confidentiality is on the user, blockchain offers alternative and additional strengths. This chapter also covers a detailed discussion of avoiding prevalent security threats by implementing blockchain technology in cloud computing for making it more secure.

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Computer cyberspace security mechanism supported by cloud computing

Cited by 3 publications

References 29 publications

Advanced set containment deep learned Rabin certificateless signcryption for secured transmission with big data in cloud

Advanced set containment deep learned Rabin certificateless signcryption for secured transmission with big data in cloud

Analyzing the Trend of Government Support for Cloud Computing Usage in E-Government Architecture

Improving Cloud Security Using Distributed Ledger Technology

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