Special Issue "New Frontiers in Android Malware Analysis and Detection"
Deadline for manuscript submissions: 31 July 2020.
Interests: malware analysis in documents and binary files; android malware analysis; machine learning for malware detection; adversarial machine learning
Android is the most popular operating system for mobile phones, with more than 2.5 billion currently active devices. Its popularity drove the attention of cybercriminals and malware creators, who have been releasing new and increasingly sophisticated malware that exploits the characteristics of Android applications to steal users’ information, encrypt their data, or compromise their devices.
The goal of this Special Issue is to propose new, sophisticated techniques to analyze and mitigate malware that targets the Android platform. These techniques may feature, among others, the use of static and dynamic analysis, the adoption of machine learning, taint analysis, symbolic execution, and so forth. This Special Issue also welcomes papers that focus on the analysis of specific malware families (such as ransomware), as well as papers related to obfuscation analysis and adversarial machine learning.
Dr. Davide Maiorca
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Information is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- Android malware
- Static and dynamic analysis
- Machine learning
- Adversarial machine learning