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20152025
most citedDL-Droid: Deep learning based android malware detection using real devices

444 citations · 1.3k across the 20 of their papers we have counts for

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Showing 2016Show all

11 papers · 1 filter

cs.CR2016★ 3 cited

N-gram Opcode Analysis for Android Malware Detection

BooJoong Kang, Suleiman Y. Yerima, Sakir Sezer +1

Android malware has been on the rise in recent years due to the increasing popularity of Android and the proliferation of third party application markets. Emerging Android malware…

cs.CR2016★ 10 cited

Fuzzy Logic-based Implicit Authentication for Mobile Access Control

Feng Yao, Suleiman Y. Yerima, BooJoong Kang +1

In order to address the increasing compromise of user privacy on mobile devices, a Fuzzy Logic based implicit authentication scheme is proposed in this paper. The proposed scheme c…

cs.CR2016★ 166 cited

Analysis of Bayesian Classification based Approaches for Android Malware Detection

Suleiman Y. Yerima, Sakir Sezer, Gavin McWilliams

Mobile malware has been growing in scale and complexity spurred by the unabated uptake of smartphones worldwide. Android is fast becoming the most popular mobile platform resulting…

cs.CR2016★ 2 cited

PageRank in Malware Categorization

BooJoong Kang, Suleiman Y. Yerima, Kieran McLaughlin +1

In this paper, we propose a malware categorization method that models malware behavior in terms of instructions using PageRank. PageRank computes ranks of web pages based on struct…

cs.CR2016★ 178 cited

A New Android Malware Detection Approach Using Bayesian Classification

Suleiman Y. Yerima, Sakir Sezer, Gavin McWilliams +1

Mobile malware has been growing in scale and complexity as smartphone usage continues to rise. Android has surpassed other mobile platforms as the most popular whilst also witnessi…

cs.CR2016★ 196 cited

High Accuracy Android Malware Detection Using Ensemble Learning

Suleiman Y. Yerima, Sakir Sezer, Igor Muttik

With over 50 billion downloads and more than 1.3 million apps in the Google official market, Android has continued to gain popularity amongst smartphone users worldwide. At the sam…