A threshold-based technique to cluster ransomware infected medical records on the internet of medical things
المؤلفون المشاركون
Hashim, Muhammad
al-Jawhari, Raniya
al-Jawish, Randa
Abu Rizkah, Muhammad
المصدر
International Journal of Intelligent Computing and Information Sciences
العدد
المجلد 22، العدد 1 (28 فبراير/شباط 2022)، ص ص. 16-31، 16ص.
الناشر
جامعة عين شمس كلية الحاسبات و المعلومات
تاريخ النشر
2022-02-28
دولة النشر
مصر
عدد الصفحات
16
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الموضوعات
الملخص EN
Ransomware attacks have led many healthcare hospitals to migrate back to their traditional methods of monitoring patients using pen and paper instead of using implantable medical devices remotely.
studying the behaviour of payload ransomware on an approved actual healthcare dataset obtained from ICU and correctly clustering them into normal and malicious records after manifestation is the primary focus of this study.
the features decided were upon the possibility of being captured remotely and their frequency of occurrences.
data transformation was included, to handle the encrypted values and perform data normalization, prior to the clustering process.
unsupervised machine learning gained a lot of attention in the cybersecurity domain for its efficiency and capability of clustering tuples into malicious and benign categories.
however, on the internet of medical things (IoMT), due to the constraints of the interconnected nodes, clustering of malicious activities became highly challenging and demanded to secure the infrastructure.
this work used unsupervised machine learning techniques of k-means, DBscan, and mean shift compared to a threshold-based method which outperformed them with a precision of 100%.
the performance metrics used in this work are ; precision, recall and f1 score.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
al-Jawish, Randa& Hashim, Muhammad& al-Jawhari, Raniya& Abu Rizkah, Muhammad. 2022. A threshold-based technique to cluster ransomware infected medical records on the internet of medical things. International Journal of Intelligent Computing and Information Sciences،Vol. 22, no. 1, pp.16-31.
https://search.emarefa.net/detail/BIM-1334981
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Hashim, Muhammad…[et al.]. A threshold-based technique to cluster ransomware infected medical records on the internet of medical things. International Journal of Intelligent Computing and Information Sciences Vol. 22, no. 1 (Feb. 2022), pp.16-31.
https://search.emarefa.net/detail/BIM-1334981
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
al-Jawish, Randa& Hashim, Muhammad& al-Jawhari, Raniya& Abu Rizkah, Muhammad. A threshold-based technique to cluster ransomware infected medical records on the internet of medical things. International Journal of Intelligent Computing and Information Sciences. 2022. Vol. 22, no. 1, pp.16-31.
https://search.emarefa.net/detail/BIM-1334981
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references : p. 30-31
رقم السجل
BIM-1334981
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