About

Log in?

DTU users get better search results including licensed content and discounts on order fees.

Anyone can log in and get personalized features such as favorites, tags and feeds.

Log in as DTU user Log in as non-DTU user No thanks

DTU Findit

Conference paper ยท Book chapter

CAVAEva: an engineering platform for evaluating commercial anti-malware applications on smartphones

Edited by Yung, Moti

From

CyberTech International Ltd.1

Department of Applied Mathematics and Computer Science, Technical University of Denmark2

Cyber Security, Department of Applied Mathematics and Computer Science, Technical University of Denmark3

The University of Aizu4

University of Texas at San Antonio5

The pervasiveness of mobile devices, such as Android and iOS smartphones, and the type of data available and stored on these devices make them an attractive target for cyber-attackers. For example, mobile malware authors seek to compromise devices to collect sensitive information and data from the smartphones.

To mitigate such a threat, a number of online scanning platforms exist to evaluate existing anti-malware applications. However, existing platforms have a number of limitations, such as configuration inflexibility. Also, in practice, the code protection and different structures complicate efforts to effectively evaluate different commercial anti-malware software in a configurable and unified platform.

Hence in this work, we design CAVAEva, an engineering platform for commercial anti-malware application evaluation, in which users/researchers have the capability to configure the platform based on their needs and requirements. In particular, we show how to design such a platform and introduce its performance.

Specifically, we present a comparative summary of seven commercial anti-malware software, and collect the feedback from a user study. Experimental results demonstrate the potential utility of our platform in evaluating commercial anti-malware software in a real-world smartphone deployment.

Language: English
Publisher: Springer
Year: 2020
Pages: 208-24
Proceedings: 15th International Conference on Information Security and Cryptology
Series: Lecture Notes in Computer Science
ISBN: 3030429202 , 3030429210 , 9783030429201 and 9783030429218
ISSN: 03029743 and 16113349
Types: Conference paper and Book chapter
DOI: 10.1007/978-3-030-42921-8_12
ORCIDs: Meng, Weizhi

DTU users get better search results including licensed content and discounts on order fees.

Log in as DTU user

Access

Analysis