Evaluation of OADM Network: Simulation and an Overview Based on Metropolitan Applications

Essa, Essa Ibrahim; Asker, Mshari A.; Sedeeq, Fidan T.

doi:10.1109/i-smac52330.2021.9640753

Cited by 1 publication

(1 citation statement)

References 28 publications

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“…Additionally, security measures can also help to prevent the manipulation or distortion of student data related to ideology, which could lead to biased or inaccurate evaluations [13]. By ensuring the integrity and authenticity of student data, security measures can help to promote a more accurate and objective evaluation of student beliefs and attitudes [14]. The contribution of security in MapReduce on the ideology of students is important in protecting the privacy and confidentiality of student data, as well as ensuring the accuracy and integrity of ideological evaluations.…”

Section: Introductionmentioning

confidence: 99%

Secure MapReduce Framework with Data Compression Model to Evaluate Ideological Evaluation Contribution on Students

2023

IJRITCC

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Ideological education is the process of transmitting and instilling a particular set of beliefs, values, and worldviews in individuals, with the goal of shaping their attitudes, behaviors, and perceptions. In colleges, ideological education plays an important role in shaping students' values, beliefs, and attitudes toward society, politics, and culture. The primary objective of ideological education in colleges is to promote critical thinking skills, social responsibility, and civic engagement among students. However, the use of big data in ideological education also raises concerns about privacy and ethical considerations. It is important to ensure that students' personal information is kept secure and that data is only used for educational purposes. It is also important to ensure that the use of big data does not lead to bias or discrimination of certain students or groups based on their demographics or backgrounds. This paper constructed a framework of Stream Cipher MapReduce Fractal Index (ScMFI). The ScMFI model performs the processing of information about students in ideological education in colleges. Through the Fractal Index Tree data is compressed with the MapReduce Framework. Finally, the ScMFI model uses the Stream Cipher process for data processing and storing in the cloud environment. The developed ScMFI model contribution of ideological education toward students’ awareness is classified as a machine learning model. The simulation analysis stated that ScMFI model minimizes the data storage, encryption and decryption time.

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Section: Introductionmentioning

confidence: 99%

Secure MapReduce Framework with Data Compression Model to Evaluate Ideological Evaluation Contribution on Students

2023

IJRITCC

View full text Add to dashboard Cite

show abstract

Evaluation of OADM Network: Simulation and an Overview Based on Metropolitan Applications

Cited by 1 publication

References 28 publications

Secure MapReduce Framework with Data Compression Model to Evaluate Ideological Evaluation Contribution on Students

Secure MapReduce Framework with Data Compression Model to Evaluate Ideological Evaluation Contribution on Students

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