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DTSTART:20171105T020000
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UID:calendar.250261.field_event_date.0@www.wright.edu
DTSTAMP:20260219T215151Z
CREATED:20171115T194027Z
DESCRIPTION:Committee:  Drs. Junjie Zhang\, Advisor\, Adam Bryant\, and Yon
 g PeiABSTRACT:According to Google Android now runs on 1.4 billion devices.
  The growing popularity has attracted attackers to use Android as a platfo
 rm to conduct malicious activities. To accomplish these malicious activiti
 es\, some attackers prefer to develop malicious Apps to steal information 
 from the Android users. As the modern day\, Android smartphones process a 
 lot of sensitive information\, information security\, and privacy are beco
 ming potential targets for the attacker. The malicious Apps steal informat
 ion from the infected phone and send this information to malicious URLs us
 ing various Android sink functions. Therefore\, it necessary to protect da
 ta as it can prove detrimental if sensitive data of the user gets leaked t
 o the malicious attacker. In this thesis research\, we first discuss our s
 tatic taint analysis framework which is used to track sensitive informatio
 n flow from source to sink. We then study the relationship between the lea
 ked data and URLs involved in the information leakage. We tested our frame
 work over more than 2000 malicious samples to determine whether the sample
 s leak any sensitive information to any external suspicious URLs or any ot
 her information sinks. We found 30 percent of malware samples leaks variou
 s Android sensitive information to around 330 suspicious URLs. We then stu
 dy to derive associations between the leaked data and the suspicious URLs 
 to gain more intelligence on information security and privacy threat from 
 information leaking malware samples. We conclude our research by discussin
 g some interesting information leakage scenarios other than suspicious URL
 s. Our study also raises awareness in both network security and informatio
 n security domains where programmers fail to follow secure coding practice
 s.
DTSTART;TZID=America/New_York:20171121T110000
DTEND;TZID=America/New_York:20171121T130000
LAST-MODIFIED:20171115T201202Z
LOCATION:304 Russ Engineering Center
SUMMARY:Masters Thesis Defense 'Detecting Information Leakage in Android Ma
 lware using Static Taint Analysis' By Soham Kelkar
URL;TYPE=URI:/events/masters-thesis-defense-detecting
 -information-leakage-android-malware-using-static-taint
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