Towards Accuracy in Similarity Analysis of Android Applications

Kishore, Sreesh; Kumar, Renuka; Sunitha, R

doi:10.1007/978-3-030-05171-6_8

Cited by 2 publications

(2 citation statements)

References 35 publications

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“… Software: The rapid pace of how the software is being used makes it almost impossible not to use open forums/repositories to solve our needs. This creates software security breaches that compromise user data even on data in transit [ 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 ]. Malware: In recent years, companies have been attacked with malware.…”

Section: Kolmogorov Complexity Application Scenariosmentioning

confidence: 99%

“…This changes can then be classified by degree of importance. A recent work from Sreesh Kishore et al [ 31 ] proposes a system that uses NCD to compute the app lineage or detect malicious components in applications, because they use birthmarks from 60 APK. Birthmarks are intrinsic characteristics of an application that can be uniquely identified.…”

Section: Kolmogorov Complexity Application Scenariosmentioning

confidence: 99%

See 1 more Smart Citation

A Survey on Using Kolmogorov Complexity in Cybersecurity

Resende

Martins

Antunes

2019

Entropy

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Security and privacy concerns are challenging the way users interact with devices. The number of devices connected to a home or enterprise network increases every day. Nowadays, the security of information systems is relevant as user information is constantly being shared and moving in the cloud; however, there are still many problems such as, unsecured web interfaces, weak authentication, insecure networks, lack of encryption, among others, that make services insecure. The software implementations that are currently deployed in companies should have updates and control, as cybersecurity threats increasingly appearing over time. There is already some research towards solutions and methods to predict new attacks or classify variants of previous known attacks, such as (algorithmic) information theory. This survey combines all relevant applications of this topic (also known as Kolmogorov Complexity) in the security and privacy domains. The use of Kolmogorov-based approaches is resource-focused without the need for specific knowledge of the topic under analysis. We have defined a taxonomy with already existing work to classify their different application areas and open up new research questions.

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