Malware detection for healthcare data security

Mozammel Chowdhury, Sharmin Jahan, MD Rafiqul Islam, Junbin Gao

Research output: Book chapter/Published conference paperConference paperpeer-review

8 Citations (Scopus)

Abstract

In recent years, malware attacks against data and information is considered as a serious cyber threat in the industries and organizations. Cyber criminals attempt to attack and gain access to computer networks or systems of many organizations especially in the healthcare industry by malicious software or malware to breach or manipulate sensitive data, or to make illegal financial transactions. Healthcare organizations nowadays preserve huge sensitive data into virtual and cloud environments. As a result, targeted attacks on healthcare data have become more common in recent years. Hence, protecting the medical data is a big concern in the healthcare industry. This paper proposes an effective approach for malware detection and classification using machine learning techniques. The proposed scheme can uncover targeted attacks and stop spear phishing attacks on healthcare records by detecting advanced malware and attacker behavior and deliver custom sandbox analysis to identify malware. In this work, we employ dynamic features in order to achieve high accuracy in malware detection. Experimental results support the superior performance and effectiveness of the proposed method over similar approaches.
Original languageEnglish
Title of host publicationSecurity and privacy in communication networks
Subtitle of host publication14th International Conference, SecureComm 2018, Singapore, Singapore, August 8-10, 2018, Proceedings, Part II
EditorsRaheem Beyah, Bing Chang, Yingjiu Li, Sencun Zhu
PublisherSpringer
Pages407-416
Number of pages10
Volume255
ISBN (Electronic)9783030017040
ISBN (Print)9783030017033
DOIs
Publication statusPublished - 29 Dec 2018
EventSecureComm 2018 - 14th EAI International Conference on Security and Privacy in Communication Networks - Ibis Singapore on Bencoolen Hotel, Singapore, Singapore
Duration: 08 Aug 201810 Aug 2018
https://securecomm.eai-conferences.org/2018/ (Conference website)
https://securecomm.eai-conferences.org/2018/atcs/ (Conference program)

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
PublisherSpringer
Volume255

Conference

ConferenceSecureComm 2018 - 14th EAI International Conference on Security and Privacy in Communication Networks
Country/TerritorySingapore
CitySingapore
Period08/08/1810/08/18
OtherSecureComm seeks high-quality research contributions in the form of well-developed papers. Topics of interest encompass research advances in ALL areas of secure communications and networking. Topics in other areas (e.g., formal methods, database security, secure software, theoretical cryptography) will be considered only if a clear connection to private or secure communication/networking is demonstrated.
Internet address

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