ABSTRACT
This chapter focuses on a particular Internet of things (IoT) system, that is, a connected smartphone system. These connected smartphone devices generate massive amounts of data and can be considered to be an IoT system. The chapter discusses how big data analytics may be applied for detecting malware in smartphones. Behavioral analysis offers a promising approach to malware detection since behavioral signatures are more obfuscation resilient than the binary ones. Malware behavior modeling is a more effective approach than purely syntax-directed modeling. Specifications of malware behavior have long been generated manually which are both time and cost intensive. With the prevalence of smartphones with computer-like capabilities, there are more platforms and devices subject to attack by malware. Malicious applications have been spread across thousands of phones before detection. There is some work to detect those android malicious applications.
