Ontology-Driven News Classification with Aethalides

Rijvordt, Wouter; Hogenboom, Frederik; Frăsincar, Flavius

doi:10.13052/jwe1540-9589.1873

Cited by 8 publications

(2 citation statements)

References 25 publications

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“…Additionally, the protocols in [191] and [192] incur high communication and computation overheads during revocation. To facilitate user domain specific filtering, an ontology based classification [193] approach is introduced in [194]. This technique can therefore be incorporated to segregate legitimate cloud server login requests from spam or malicious ones.…”

Section: Data Sharing In the Cloud Techniquesmentioning

confidence: 99%

Cloud computing communication environment security and performance: Challenges and probable solutions

Kanini¹

2023

World J. Adv. Eng. Technol. Sci.

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The adoption of cloud computing has continued to grow, owing to its broad network access, remote accessibility, scalability, on demand self-service, rapid elasticity and resource pooling. In this environment, numerous devices are deployed to access the cloud data and services. This potentially increases the attack services, more so in public clouds. As such, the biggest challenge is the secure data exchange over insecure open network channels. This issue has seen the development of numerous security solutions over the recent past. In this paper, a survey of these security schemes, techniques and methods is provided. The findings indicate that majority of these methods have vulnerabilities that expose users to many attacks. Additionally, some of these security solutions have extremely high complexities that make the cloud communications inefficient.

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Section: Data Sharing In the Cloud Techniquesmentioning

confidence: 99%

Cloud computing communication environment security and performance: Challenges and probable solutions

Kanini¹

2023

World J. Adv. Eng. Technol. Sci.

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“…According to whether the news text describing the event contains specified stock entity information, the event can be categorized into two types: generalized event and non-generalized event, in which the non-generalized event is generally the stock announcement news event, and the news describing the generalized event is generally the industry news, macro-policy news and so on [11][12]. The stock market can be analyzed directly based on the events, but the existing research on the types of stock announcement news events is relatively coarse, ignoring certain types of events that can be used to guide investment decisions [13][14].…”

Section: Introductionmentioning

confidence: 99%

A study of the impact of financial news media coverage patterns on stock price fluctuations

Xue,

Yin,

Wang

2024

Applied Mathematics and Nonlinear Sciences

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This paper examines the impact of media communication on the stock market in the context of the digital age, particularly its role in stock price volatility. With the significant increase in the speed, breadth and depth of media communication, the efficiency of stock market information transmission has been dramatically improved, significantly impacting stock price volatility. The article first explores the specific impact of media coverage characteristics and methods on stock price volatility by quantitatively analyzing media coverage’s breadth, manner and content. Then, the article utilizes multiple linear regression models to deeply explore the impact of various news texts on stock price volatility in different reporting modes (e.g., live reporting, television, and text reporting) in the Shanghai and Shenzhen stock markets. The findings show a significant association between the breadth of media coverage and stock prices at the 1% significance level. In addition, the regression coefficients of content and manner of coverage on stock price changes are 0.096 and 0.229, respectively, which are both significant at the 5% significance level. The research results of this paper not only reveal the close relationship between media communication and stock market volatility and provide theoretical support for predicting dramatic stock market volatility, which helps to promote the construction of a healthy and orderly capital market order.

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A Cryptography and Machine Learning Based Authentication for Secure Data-Sharing in Federated Cloud Services Environment

Singh

Saxena

2021

Journal of Applied Security Research

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Ontology-Driven News Classification with Aethalides

Cited by 8 publications

References 25 publications

Cloud computing communication environment security and performance: Challenges and probable solutions

Cloud computing communication environment security and performance: Challenges and probable solutions

A study of the impact of financial news media coverage patterns on stock price fluctuations

A Cryptography and Machine Learning Based Authentication for Secure Data-Sharing in Federated Cloud Services Environment

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