TY - JOUR
T1 - Situational awareness framework for threat intelligence measurement of android malware
AU - Park, Mookyu
AU - Seo, Junwoo
AU - Han, Jaehyeok
AU - Oh, Haengrok
AU - Lee, Kyungho
N1 - Funding Information:
This work was supported by Defense Acquisition Program Administration and Agency for Defense Development under the contract. (UD060048AD).
PY - 2018/9
Y1 - 2018/9
N2 - With the development of the Internet of Things (IoT) technology, various devices are connected to the network. The availability of mobile devices is increasing to remotely control these electronic products. As the importance of mobile devices increases, operating systems such as Android OS and iOS are targeted for cyber attacks. In addition, mobile devices are used to manage business data as well as private areas, including text messages and contacts, so the risk of attack is also increasing. This paper proposes threat intelligence evaluation for mobile malware from the viewpoint of situational awareness by extracting features that can detect Android malware using machine learning algorithms.
AB - With the development of the Internet of Things (IoT) technology, various devices are connected to the network. The availability of mobile devices is increasing to remotely control these electronic products. As the importance of mobile devices increases, operating systems such as Android OS and iOS are targeted for cyber attacks. In addition, mobile devices are used to manage business data as well as private areas, including text messages and contacts, so the risk of attack is also increasing. This paper proposes threat intelligence evaluation for mobile malware from the viewpoint of situational awareness by extracting features that can detect Android malware using machine learning algorithms.
KW - Android malware
KW - Situational awareness
KW - Threat intelligence
KW - Threat measurement
UR - http://www.scopus.com/inward/record.url?scp=85059514676&partnerID=8YFLogxK
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U2 - 10.22667/JOWUA.2018.09.30.025
DO - 10.22667/JOWUA.2018.09.30.025
M3 - Article
AN - SCOPUS:85059514676
VL - 9
SP - 25
EP - 38
JO - Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications
JF - Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications
SN - 2093-5374
IS - 3
ER -