Wireless Communication Network Security System Based on Big Data Information Transmission Technology

Zhao, Yichao; Ouyang, Wenjun

doi:10.1155/2022/1066331

Cited by 2 publications

(2 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Additionally, there are also risks of manipulation and disinformation related to the use of data in political campaigns. By leveraging algorithms and sophisticated data analysis techniques, political parties can create political narratives that suit their targets' preferences, even if that means spreading false or misleading information (Zhao & Ouyang, 2022). Apart from that, the use of Big Data can also create a digital divide in political participation.…”

Section: Resultsmentioning

confidence: 99%

Use of Big Data in Political Communication Analysis: Forming a Targeting and Electorate Segmentation Strategy

Dharta,

Purwosusanto,

Yodiansyah

et al. 2024

JIDC

View full text Add to dashboard Cite

In this digital era, political communication has become increasingly complex with the emergence of various social media platforms and information technology. This allows for greater interaction between political leaders, parties and the electorate. In this context, the use of Big Data has become crucial in collecting, analyzing and understanding the political behavior patterns of the electorate. This research aims to explore the use of Big Data in the context of political communication analysis, especially in forming targeting and electorate segmentation strategies. Through this approach, it is hoped that an effective method can be found in understanding mass political preferences. This research uses a qualitative and quantitative approach by analyzing Big Data data from various social media platforms, online surveys and other digital data sources. Statistical analysis and machine learning techniques are also used to identify patterns of electoral behavior. The research results show that the use of Big Data in political communication analysis provides deep insight into the preferences and needs of the electorate. By utilizing available data, targeting and electorate segmentation strategies can be prepared more precisely and effectively. The conclusion of this research is the analysis of political communication, the use of Big Data has proven its value in forming targeting and electorate segmentation strategies. With an integrated approach between qualitative and quantitative data, political leaders and parties can better understand political dynamics and increase the effectiveness of communication with the electorate.

show abstract

Section: Resultsmentioning

confidence: 99%

Use of Big Data in Political Communication Analysis: Forming a Targeting and Electorate Segmentation Strategy

Dharta,

Purwosusanto,

Yodiansyah

et al. 2024

JIDC

View full text Add to dashboard Cite

show abstract

“…It is easily intercepted as it propagates. This brings many potential threats to wireless communication [14].…”

Section: Related Workmentioning

confidence: 99%

SRLA - High Secure Optimised routing protocol for Wireless ad hoc networks using Log likelihood ratio enabled Ant Colony Optimization

KHAGGA,

A.M.

2024

Preprint

View full text Add to dashboard Cite

In wireless ad hoc networks, where conventional infrastructure is lacking, effective routing algorithms, security mechanisms, and energy efficiency are critical challenges. While existing cluster-based routing protocols demonstrate efficiency, the absence of a comprehensive approach for selecting cluster heads based on multiple parameters remains a gap. Addressing this multi-objective challenge is pivotal in optimizing cluster-based routing. Ant Colony Optimization (ACO) emerges as a key algorithm for path selection, while the integration of Log Likelihood Ratio (LLR) enhances route longevity and reliability. The proposed system introduces cluster-based region formation coupled with the selection of trusted cluster heads, enriching routing paths. It prioritizes paths with heavy weights and fewer links, optimizing efficiency. Implementation of the proposed system yields a notable increase in delivery ratio to 96% marking a significant advancement in wireless ad hoc network performance.

show abstract

Wireless Communication Network Security System Based on Big Data Information Transmission Technology

Cited by 2 publications

References 13 publications

Use of Big Data in Political Communication Analysis: Forming a Targeting and Electorate Segmentation Strategy

Use of Big Data in Political Communication Analysis: Forming a Targeting and Electorate Segmentation Strategy

SRLA - High Secure Optimised routing protocol for Wireless ad hoc networks using Log likelihood ratio enabled Ant Colony Optimization

Contact Info

Product

Resources

About