مقاله انگلیسی رایگان در مورد پاندمی کرونا و مسائل امنیت رایانه ای – تیلور و فرانسیس 2022

 

مشخصات مقاله
ترجمه عنوان مقاله همه گیر کووید 19 و مسائل امنیت سایبری: تحلیل احساسات و رویکرد مدل سازی موضوع
عنوان انگلیسی مقاله COVID-19 pandemic & cyber security issues: Sentiment analysis and topic modeling approach
انتشار  مقاله سال 2022
تعداد صفحات مقاله انگلیسی  11 صفحه
هزینه  دانلود مقاله انگلیسی رایگان میباشد.
پایگاه داده  نشریه تیلور و فرانسیس – Taylor & Francis
نوع نگارش مقاله مقاله پژوهشی (Research article)
مقاله بیس این مقاله بیس میباشد
نمایه (index) Master Journal List – Scopus
نوع مقاله
ISI
فرمت مقاله انگلیسی  PDF
ایمپکت فاکتور(IF)
2.049 در سال 2020
شاخص H_index 18 در سال 2022
شاخص SJR 0.450 در سال 2020
شناسه ISSN 0972-0529
شاخص Quartile (چارک) Q3 در سال 2020
فرضیه دارد ندارد
مدل مفهومی
پرسشنامه
متغیر
رفرنس
رشته های مرتبط مهندسی فناوری اطلاعات – مدیریت
گرایش های مرتبط اینترنت و شبکه های گسترده – شبکه های کامپیوتری – مدیریت تکنولوژی – نوآوری تکنولوژی
نوع ارائه مقاله
ژورنال
مجله / کنفرانس مجله علوم ریاضی گسسته و رمزنگاری – Journal of Discrete Mathematical Sciences and Cryptography
دانشگاه TAPMI School of Business, Manipal University Jaipur, India
کلمات کلیدی امنیت سایبری – جرایم سایبری – تحلیل احساسات – مدل‌سازی موضوع – متن کاوی – کلان داده – توییتر
کلمات کلیدی انگلیسی  Cyber security – Cyber crime – Sentiment analysis – Topic modeling – Text mining – Big data – Twitter
شناسه دیجیتال – doi https://doi.org/10.1080/09720529.2022.2072421
کد محصول e16798
وضعیت ترجمه مقاله  ترجمه آماده این مقاله موجود نمیباشد. میتوانید از طریق دکمه پایین سفارش دهید.
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فهرست مطالب مقاله:
Abstract
1. Introduction
2. Related Works
3. Methodology
4. Results
5. Discussion and Conclusion
References

 

بخشی از متن مقاله:

Abstract

     The purpose of this study is to understand public awareness of cybersecurity-related issues and discussions during the COVID-19 pandemic. Employees and confidential organizational data are vulnerable to cyber-attacks as a result of the pandemic, which has raised concerns about cyber security about the new normal of working from home. The public’s main sentiments and aspects related to cyber security concerns have been mined from tweets on the microblogging social media website Twitter. Sentiment Analysis and Topic Modeling techniques have been applied to understand the perspectives, emotions, and themes discussed by people. The analysis reveals people are becoming more aware of cybercrime-related concerns and are more positive than negative in combating the challenge of cybercrime. The paper also highlights the main themes revealed by Topic Modeling.

Introduction

     The Internet has now integrated into human lives, with about 3 billion users all over the world. Billions of dollars are generated globally by this global network [13]. In the current scenario, the majority of the activities and interactions, whether commercial, cultural, governmental, nongovernmental, individual, or organizational, are all performed in cyberspace [1], causing unprecedented growth in cyberspace [2]. The innovations in the field of the internet have made it more accessible, user-friendly, and affordable for most people [34], thus integrating it into human lives profusely. The lives of humans on earth are intertwined in cyberspace and any turbulence or insecurity impacts different facets of human lives [18]. Such a tremendous growth in information sharing provides a platform to those with malevolent intentions and raises cybersecurity issues [15]. Due to COVID-19 pandemic role of technology has escalated in the professional lives with remote working becoming new normal. However organizations are still not able to provide cybercrime safe remote working. In today’s contemporary world social media is a great source of exchanging information, opinions, and discussions by providing a universal platform. Twitter, a microblogging platform has 206 million daily active users enabling users to create and post messages and follow each other [4]. People post their experiences, opinions especially emotions via electronic media. Therefore, microblogging websites like Twitter are a momentous source of data followed by opinion mining and sentiment analysis [17, 29, 30].

Discussion and Conclusion

     The Twitter data analysis explains the awareness and perception of the users on cybersecurity-related issues. Users, in general, discussed the issues like ransomware, malware, and cyber-attacks in different parts of the world. Since the study took place in November and December 2021, the people were well aware and perhaps more trained to combat the cyber-attacks than initially when the COVID-19 outbreak took place as implied by a large number of positive and neutral tones of the polarity of sentiments The Sentiment Analysis further enlightened that people were having ‘trust’ as the major emotion in tweets. This may be the people and their organizations have leveraged better tools and techniques to mitigate the online scams. Also, they were more accustomed to working remotely. Moreover, high anticipation emotion also predicts that people were hopeful that the situation will improve and in future, the cyber security will enhance as companies will take better practical approaches to protect their devices and people. Although, the high value of ‘Fear” in the sentiment analysis depicts that there are issues people are concerned about and the cyber attacks in Russia, ransomware, hacking, and malware show people are still afraid of cybercrimes. The cyber criminals keep on deploying new techniques to scam the devices and people which require a more precautious take on the issues. But the sentiment analysis reveals as people became more accustomed to the new normal and improved vigilant employment of technology the sentiments were more neutral or positive.

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