Automated Dataset Generation System for Collaborative Research of Cyber Threat Analysis
المؤلفون المشاركون
المصدر
Security and Communication Networks
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-10، 10ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-09-30
دولة النشر
مصر
عدد الصفحات
10
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الملخص EN
The objectives of cyberattacks are becoming sophisticated, and attackers are concealing their identity by masquerading as other attackers.
Cyber threat intelligence (CTI) is gaining attention as a way to collect meaningful knowledge to better understand the intention of an attacker and eventually predict future attacks.
A systemic threat analysis based on data acquired from actual cyber incidents is a useful approach to generating intelligence for such an objective.
Developing an analysis technique requires a high-volume and fine-quality data.
However, researchers can become discouraged by inaccessibility to data because organizations rarely release their data to the research community.
Owing to a data inaccessibility issue, academic research tends to be biased toward techniques that develop steps of the CTI process other than analysis and production.
In this paper, we propose an automated dataset generation system called CTIMiner.
The system collects threat data from publicly available security reports and malware repositories.
The data are stored in a structured format.
We released the source codes and dataset to the public, including approximately 640,000 records from 612 security reports published from January 2008 to June 2019.
In addition, we present a statistical feature of the dataset and techniques that can be developed using it.
Moreover, we demonstrate an application example of the dataset that analyzes the correlation and characteristics of an incident.
We believe our dataset will promote collaborative research on threat analysis for the generation of CTI.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Kim, Daegeon& Kim, Huy Kang. 2019. Automated Dataset Generation System for Collaborative Research of Cyber Threat Analysis. Security and Communication Networks،Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1210506
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Kim, Daegeon& Kim, Huy Kang. Automated Dataset Generation System for Collaborative Research of Cyber Threat Analysis. Security and Communication Networks No. 2019 (2019), pp.1-10.
https://search.emarefa.net/detail/BIM-1210506
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Kim, Daegeon& Kim, Huy Kang. Automated Dataset Generation System for Collaborative Research of Cyber Threat Analysis. Security and Communication Networks. 2019. Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1210506
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1210506
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