TY - GEN
T1 - Uncovering the dilemmas on antivirus software design in modern mobile platforms
AU - Huang, Heqing
AU - Chen, Kai
AU - Liu, Peng
AU - Zhu, Sencun
AU - Wu, Dinghao
N1 - Publisher Copyright:
© Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2015.
PY - 2015
Y1 - 2015
N2 - With the rapid increase in Android device popularity, a new evolving arms-race is happening between the malware writers and AntiVirus Detectors (AVDs) on the popular mobile system. In its latest comparison of AVDs, independent test lab AV-TEST reported that AVDs have around 95% malware recognition rate. However, as mobile systems are specially designed, we consider that the power of AVDs’ should also be evaluated based on their runtime malware detection capabilities. In this work, we performed a comprehensive study on ten popular Android AVDs to evaluate the effectiveness of their scanning operations. During our analysis, we identified the design dilemmas related to two types of malware scanning operations, namely local malware scan and cloud-based malware scan. Our work opens a new research direction in designing more effective and efficient malware scan mechanisms for current antivirus software on mobile devices.
AB - With the rapid increase in Android device popularity, a new evolving arms-race is happening between the malware writers and AntiVirus Detectors (AVDs) on the popular mobile system. In its latest comparison of AVDs, independent test lab AV-TEST reported that AVDs have around 95% malware recognition rate. However, as mobile systems are specially designed, we consider that the power of AVDs’ should also be evaluated based on their runtime malware detection capabilities. In this work, we performed a comprehensive study on ten popular Android AVDs to evaluate the effectiveness of their scanning operations. During our analysis, we identified the design dilemmas related to two types of malware scanning operations, namely local malware scan and cloud-based malware scan. Our work opens a new research direction in designing more effective and efficient malware scan mechanisms for current antivirus software on mobile devices.
UR - http://www.scopus.com/inward/record.url?scp=84952331405&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84952331405&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-23802-9_27
DO - 10.1007/978-3-319-23802-9_27
M3 - Conference contribution
AN - SCOPUS:84952331405
SN - 9783319238012
T3 - Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
SP - 359
EP - 366
BT - International Conference on Security and Privacy in Communication Networks - 10th International ICST Conference, SecureComm 2014, Revised Selected Papers
A2 - Srivatsa, Mudhakar
A2 - Tian, Jing
A2 - Jing, Jiwu
PB - Springer Verlag
T2 - 10th International Conference on Security and Privacy in Communication Networks, SecureComm 2014
Y2 - 24 September 2014 through 26 September 2014
ER -