Detecting Potential Insider Threat: Analyzing Insiders’ Sentiment Exposed in Social Media
المؤلفون المشاركون
Lee, Kyungho
Park, Won
You, Youngin
المصدر
Security and Communication Networks
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-8، 8ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-07-18
دولة النشر
مصر
عدد الصفحات
8
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الملخص EN
In the era of Internet of Things (IoT), impact of social media is increasing gradually.
With the huge progress in the IoT device, insider threat is becoming much more dangerous.
Trying to find what kind of people are in high risk for the organization, about one million of tweets were analyzed by sentiment analysis methodology.
Dataset made by the web service “Sentiment140” was used to find possible malicious insider.
Based on the analysis of the sentiment level, users with negative sentiments were classified by the criteria and then selected as possible malicious insiders according to the threat level.
Machine learning algorithms in the open-sourced machine learning software “Weka (Waikato Environment for Knowledge Analysis)” were used to find the possible malicious insider.
Decision Tree had the highest accuracy among supervised learning algorithms and K-Means had the highest accuracy among unsupervised learning.
In addition, we extract the frequently used words from the topic modeling technique and then verified the analysis results by matching them to the information security compliance elements.
These findings can contribute to achieve higher detection accuracy by combining individual’s characteristics to the previous studies such as analyzing system behavior.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Park, Won& You, Youngin& Lee, Kyungho. 2018. Detecting Potential Insider Threat: Analyzing Insiders’ Sentiment Exposed in Social Media. Security and Communication Networks،Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1214330
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Park, Won…[et al.]. Detecting Potential Insider Threat: Analyzing Insiders’ Sentiment Exposed in Social Media. Security and Communication Networks No. 2018 (2018), pp.1-8.
https://search.emarefa.net/detail/BIM-1214330
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Park, Won& You, Youngin& Lee, Kyungho. Detecting Potential Insider Threat: Analyzing Insiders’ Sentiment Exposed in Social Media. Security and Communication Networks. 2018. Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1214330
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1214330
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر