Asymmetric Cryptography Among Different 5G Core Networks

Lu, Yu-Syuan; Susanto, Heru; Leu, Fang−Yie

doi:10.1007/978-3-031-08819-3_34

Cited by 7 publications

(3 citation statements)

References 2 publications

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“…The sentiments are identified and compared using three distinct algorithms to gauge customer satisfaction on 3G, 4G, and internet services after cleaning and data balancing. Furthermore, 5G is expected to roll out in mid-2022, raising awareness of the 5G opportunities among businesses and consumers is important [14][15][16][17][18]. Customers must always be informed of current changes in business processes in order to be prepared for future developments, and the best approach to determining whether customers are ready is to analyze their feedback and thoughts.…”

Section: State Ofmentioning

confidence: 99%

Innovative Business Process Reengineering Adoption: Framework of Big Data Sentiment, Improving Customers’ Service Level Agreement

Susanto

Sari

Leu

2022

BDCC

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Social media is now regarded as the most valuable source of data for trend analysis and innovative business process reengineering preferences. Data made accessible through social media can be utilized for a variety of purposes, such as by an entrepreneur who wants to learn more about the market they intend to enter and uncover their consumers’ requirements before launching their new products or services. Sentiment analysis and text mining of telecommunication businesses via social media posts and comments are the subject of this study. A proposed framework will be utilized as a guideline, and it will be tested for sentiment analysis. Lexicon-based sentiment categorization is used as a model training dataset for a supervised machine learning support vector machine. The result is very promising. The accuracy and the quantity of the true sentiments it can detect are compared. This result signifies the usefulness of text mining and sentiment analysis on social media data, while the use of machine learning classifiers for predicting sentiment orientation provides a useful tool for operations and marketing departments. The availability of large amounts of data in this digitally active society is advantageous for sectors such as the telecommunication industry. These companies can be two steps ahead with their strategy and develop a more cohesive company that can make customers happier and mitigate problems easily with the use of text mining and sentiment analysis for further adopting innovative business process reengineering for service improvements within the telecommunications industry.

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Section: State Ofmentioning

confidence: 99%

Innovative Business Process Reengineering Adoption: Framework of Big Data Sentiment, Improving Customers’ Service Level Agreement

Susanto

Sari

Leu

2022

BDCC

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“…Our security analyses show that the proposed scheme increases security level of the session established among n ECs, 𝑛 ≥ 2. Our previous research results are partially published in [7] and [8]. In the following, the two terms, packets and messages, are used interchangeably even someone defines them differently.…”

Section: Introductionmentioning

confidence: 99%

“…Session establishment includesStep (1) to Step(7) 2. Message transmission includesStep(8) to Step(17).…”

mentioning

confidence: 99%

Hybrid Intelligent Security Mechanism for Data Transmission among UPFs belonging to Different 5G Networks

Leu

Liu

et al. 2022

Preprint

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Recently, 5G networks have gradually surrounded our living environments to color our everyday lives and make our daily activities more convenient than before. However, in 5G networks, packet P transmitted from local UPFA of a 5G network, e.g., 5G-A, to UPFB in P’s destination 5G network, e.g., 5G-B, is not secure, even not encrypted, particularly via the Internet, A ≠ B. This conducts a risk of data leakage along the connection established between UPFA and UPFB. To solve this problem, in this study, we propose an architecture that encrypts/decrypts P to prevent it from being attacked. P is encrypted by an edge computer, e.g., ECA in 5G-A before it is sent to its destination, and decrypted by another edge computer, e.g., ECB in 5G-B. In this paper, the scenario includes data transmission between two users or among n-party users, n > 2. For the former, the cryptography systems used are symmetric and asymmetric encryption/decryption approaches. For the n-party scheme, we adopt Initial Key Agreement (IKA) mechanism which employs Upflow and Downflow processes to establish a secret key for all participating ECs. Besides, message authentication code, and time stamp are also utilized to enhance the security level of data transmission. Our analyses show that this proposed approach can effectively avoid some types of attacks.

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