شناسایی و رتبه‌بندی شاخص‌های امنیتی در شبکه‌های اجتماعی برخط با تکنیک MADM

فتحی, حامد; امینی, علیرضا

doi:10.22105/imos.2022.327770.1210

نوع مقاله : مقاله پژوهشی

نویسندگان

گروه مهندسی صنایع، موسسه آموزش عالی آیندگان، تنکابن، ایران.

https://doi.org/10.22105/imos.2022.327770.1210

چکیده

هدف: هدف از تحقیق حاضر شناسایی و رتبه‌بندی شاخص‌های امنیتی در شبکه‌های اجتماعی بر خط می‌باشد. شبکه‌های اجتماعی مانند فیس‌بوک، توییتر، تلگرام، واتساپ، یوتیوب و اینستاگرام می‌باشند.
روش‌شناسی پژوهش: واحدهای فناوری اطلاعات بانک ملی موردمطالعه قرار گرفته که تعداد 30 نفر به به‌عنوان خبرگان پژوهش در نظر گرفته شده است. بدین منظور، هفت شاخص مهم شناسایی گردید و به‌منظور اولویت‌بندی شاخص‌ها از تکنیک TOPSIS استفاده گردید. در این مرحله نیز پرسشنامه مقایسات زوجی برای خبرگان پژوهش توزیع و گرداوری گردید و بر اساس آن اولویت‌بندی عوامل ارائه شده است. درنهایت با استفاده از آزمون همبستگی اسپیرمن به بررسی ارتباط بین شاخص‌های شناسایی‌شده و امنیت در شبکه‌های اجتماعی بر خط پرداخته شد. بدین منظور نیز پرسشنامه‌ای با 24 گویه توزیع و تعداد 262 نمونه جمع‌آوری و مورد تحلیل قرار گرفت.
یافته‌ها: نتیجه تحقیق نشان می‌دهد شاخص‌های امنیتی در شبکه‌های اجتماعی بر خط به ترتیب اولویت عبارت‌اند از: پیاده‌سازی سازوکارهای تصدیق هویت و مجوزدهی‌، استفاده از نرم‌افزارهای به‌روز و پرهیز از برنامه‌های مشکوک، محدودیت انتشار اطلاعات شخصی، پایش به‌منظور عدم‌پردازش غیرمجاز اطلاعات، رعایت استانداردهای امنیتی، زیرساخت‌های IT کشور و نصب سیستم شناساگر متجاوز. همچنین بر اساس نتایج آزمون همبستگی اسپیرمن، کلیه عوامل تاثیر مثبت و معناداری بر امنیت شبکه‌های اجتماعی داشته‌اند.
اصالت/ارزش افزوده علمی: ما در این تحقیق به این نتیجه رسیدیم که بین عوامل موثر و امنیت شبکه‌های اجتماعی بر خط تعریف‌شده برای این شبکه‌ها، رابطه معناداری دارد. در واقع توسعه‎ی زیرساخت‌های فناوری اطلاعات و ارتباطات و افزایش شمار کاربران استفاده‌کننده از شبکه‌های اجتماعی مجازی، لزوم ایجاد و توسعه‌ی سازوکاری برای برقراری امنیت در این شبکه‌های ارتباطی را توجیه می‌کند.

کلیدواژه‌ها

20.1001.1.27831345.1401.3.3.7.4

عنوان مقاله [English]

Identifying and Ranking Security Indicators in Online Social Networks with an MADM Technique

نویسندگان [English]

Hamed Fathi
Alireza Amini

Department of Industrial Engineering, Ayandegan Institute of Higher Education, Tonekabon, Iran.

چکیده [English]

Purpose: This study aims to identify and rank security indicators in online social networks. Social networks include Facebook, Twitter, Telegram, WhatsApp, YouTube, and Instagram.
Methodology: The information technology units of Melli Bank have been studied, and 30 people have been considered research experts. For this purpose, seven important indicators were identified, and the TOPSIS technique was used to prioritize them. Then, the relationship between the identified indicators and online social network security was investigated using the Spearman correlation test. For this purpose, a questionnaire with 24 items was distributed, and 262 samples were collected and analyzed.
Findings: The results show that security indicators in online social networks in order of priority are implementing authentication and licensing mechanisms, using up-to-date software and avoiding suspicious programs, restricting personal information dissemination, monitoring to prevent unauthorized processing of information, compliance with standards the country's IT infrastructure, and the installing an intruder detection system. Also, based on the results of the Spearman correlation test, all factors have had a positive and significant effect on social network security.
Originality/Value: In this study, we concluded that there is a significant relationship between the influential factors and the security of social networks on the line defined for these networks. The development of information and communication technology infrastructures and the increase in users using virtual social networks justifies the need to create and develop a mechanism for establishing security in these communication networks.

کلیدواژه‌ها [English]

Iran IT infrastructure
Dissemination of personal information
Security
Online social networks
TOPSIS

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مدیریت نوآوری و راهبردهای عملیاتی

شناسایی و رتبه‌بندی شاخص‌های امنیتی در شبکه‌های اجتماعی برخط با تکنیک MADM

مراجع

مراجع

دوره 3، شماره 3
آذر 1401
صفحه 356-370

شناسایی و رتبه‌بندی شاخص‌های امنیتی در شبکه‌های اجتماعی برخط با تکنیک MADM

مراجع

مراجع

دوره 3، شماره 3آذر 1401صفحه 356-370

دوره 3، شماره 3
آذر 1401
صفحه 356-370