Android Malware Detection &amp; Protection: A Survey

“…Also, the encrypted malicious code remains undetected. In [10] authors have categorized static analysis based malware detection techniques as signature based malware detection, permission-based malware detection, and dalvik byte code malware detection. The signature-based detection technique extracts the signatures of the applications and then matches it with the database of known malware signatures [9].…”

Section: A Static Analysismentioning

confidence: 99%

InstDroid: A Light Weight Instant Malware Detector for Android Operating Systems

Arshad¹,

Chaudhary²,

Shah³

et al. 2017

ijacsa

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Abstract-With the increasing popularity of Android operating system, its security concerns have also been raised to a new horizon in past few years. Different researchers have introduced different approaches in order to mitigate the malware attacks on Android devices and they succeed to provide security up to some extent but these antimalware techniques are still resource inefficient and takes longer time to detect the malicious behavior of applications. In this paper, basic security mechanisms, provided by Google Android, and their limitations are discussed. Also, the existing antimalware techniques which lie under the basic detection approaches are discussed and their limitations are also highlighted. This research proposes a light weight instant malware detector, named as InstDroid, for Android devices that can identify the malicious applications immediately. Through experiments, it is shown that InstDroid is an instant malware detector that provides instant security at low resource consumption, power and memory, in comparison to other well-known commercial antimalware applications.

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“…But all declared permissions are not necessarily the required permissions for that specific application. [8] …”

Section: ) Permission Based Analysismentioning

confidence: 99%

Virus Signature Matching For Determination of Malicious Application in Android Phone

2017

IJMTER

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Abstract-A serious security threat today is malicious executables. Especially, new unseen malicious executables often arriving as email attachments. These new malicious executables are created at the rate of thousands every year and pose a serious security threat. In recent years Smartphone's have started to become more popular and are one of the preferred devices for most consumers across the world. The wide spread use of Smartphone's along with continuous internet connectivity and the always on paradigm makes them a lucrative target for malware attacks. Malware includes all families of viruses, computer worms, Trojans, backdoor, spyware. Framework that detects new, previously unseen malicious executables accurately and automatically. Our proposed method will increase the efficiency of current malicious app detection analysis on preexisting item sets, Which will List malware which are found.

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Android Malware Detection & Protection: A Survey

Cited by 77 publications

References 28 publications

Internet of Things Malware : A Survey

Internet of Things Malware : A Survey

InstDroid: A Light Weight Instant Malware Detector for Android Operating Systems

Virus Signature Matching For Determination of Malicious Application in Android Phone

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