CBR-Based Decision Support Methodology for Cybercrime Investigation: Focused on the Data-Driven Website Defacement Analysis
المؤلفون المشاركون
Kim, Huy Kang
Han, Mee Lan
Kwak, Byung Il
المصدر
Security and Communication Networks
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-21، 21ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-12-20
دولة النشر
مصر
عدد الصفحات
21
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الملخص EN
Criminal profiling is a useful technique to identify the most plausible suspects based on the evidence discovered at the crime scene.
Similar to offline criminal profiling, in-depth profiling for cybercrime investigation is useful in analysing cyberattacks and for speculating on the identities of the criminals.
Every cybercrime committed by the same hacker or hacking group has unique traits such as attack purpose, attack methods, and target.
These unique traits are revealed in the evidence of cybercrime; in some cases, these unique traits are well hidden in the evidence such that it cannot be easily perceived.
Therefore, a complete analysis of several factors concerning cybercrime can provide an investigator with concrete evidence to attribute the attacks and narrow down the scope of the criminal data and grasp the criminals in the end.
We herein propose a decision support methodology based on the case-based reasoning (CBR) for cybercrime investigation.
This study focuses on the massive data-driven analysis of website defacement.
Our primary aim in this study is to demonstrate the practicality of the proposed methodology as a proof of concept.
The assessment of website defacement was performed through the similarity measure and the clustering processing in the reasoning engine based on the CBR.
Our results show that the proposed methodology that focuses on the investigation enables a better understanding and interpretation of website defacement and assists in inferring the hacker’s behavioural traits from the available evidence concerning website defacement.
The results of the case studies demonstrate that our proposed methodology is beneficial for understanding the behaviour and motivation of the hacker and that our proposed data-driven analytic methodology can be utilized as a decision support system for cybercrime investigation.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Han, Mee Lan& Kwak, Byung Il& Kim, Huy Kang. 2019. CBR-Based Decision Support Methodology for Cybercrime Investigation: Focused on the Data-Driven Website Defacement Analysis. Security and Communication Networks،Vol. 2019, no. 2019, pp.1-21.
https://search.emarefa.net/detail/BIM-1210271
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Han, Mee Lan…[et al.]. CBR-Based Decision Support Methodology for Cybercrime Investigation: Focused on the Data-Driven Website Defacement Analysis. Security and Communication Networks No. 2019 (2019), pp.1-21.
https://search.emarefa.net/detail/BIM-1210271
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Han, Mee Lan& Kwak, Byung Il& Kim, Huy Kang. CBR-Based Decision Support Methodology for Cybercrime Investigation: Focused on the Data-Driven Website Defacement Analysis. Security and Communication Networks. 2019. Vol. 2019, no. 2019, pp.1-21.
https://search.emarefa.net/detail/BIM-1210271
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1210271
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