Understanding Android Financial Malware Attacks:Taxonomy, Characterization, and Challenges

Authors

  • Andi Fitriah Abdul Kadir Canadian Institute for Cybersecurity (CIC), University of New Brunswick, New Brunswick, Canada
  • Natalia Stakhanova Canadian Institute for Cybersecurity (CIC), University of New Brunswick, New Brunswick, Canada
  • Ali A. Ghorbani Canadian Institute for Cybersecurity (CIC), University of New Brunswick, New Brunswick, Canada

DOI:

https://doi.org/10.13052/2245-1439.732

Keywords:

Adware, Android malware, banking, behavioral analysis, financial malware, malware characterization, taxonomy, ransomware, scareware, SMS malware

Abstract

With the increased number of financial-related malware, the security community today has turned their attention to the Android financial malware. However, what constitutes Android financial malware is still ambiguous. A comprehensive understanding of the existing Android financial malware attacks supported by a unified terminology is necessarily required for the deployment of reliable defence mechanisms against these attacks. Thus, in this paper, we address this issue and devise a taxonomy of Android financial malware attacks. By devising the proposed taxonomy, we intend to: give researchers a better understanding of these attacks; explore the Android financial malware characteristics; and provide a foundation for organizing research efforts within this specific field. In order to evaluate the proposed taxonomy, we gathered a large collection of Android financial malware samples representing 32 families, which are selected based on the main characteristics defined in the taxonomy. We discuss the characterization of these families in terms of malware installation, activation and attacks, and derive a set of research question: how does the malware spread to the Android users?, how does the malware activate itself on the phone?, and what happens after the malware has reached the Android system? Evaluation and characterization of this taxonomic model towards Android financial malware implies the possibility for introducing an automatic malware categorization, which can effectively save the time of malware analysts to correlate various symptoms of malicious behavior; this combination provides a systematic overview of malware capabilities, which can help analyst in the malware-triage process for prioritizing which malware to be scrutinized. Also, we identified a number of challenges related to Android financial malware, which can create opportunity for future research.

 

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Author Biographies

Andi Fitriah Abdul Kadir, Canadian Institute for Cybersecurity (CIC), University of New Brunswick, New Brunswick, Canada

Andi Fitriah Abdul Kadir is a Ph.D. student and a member of the Canadian Institute for Cybersecurity (CIC) at the University of New Brunswick, Fredericton, Canada. She completed her Master’s degree in Computer Science (Network Security) in 2013 at International Islamic University Malaysia (IIUM). Andi Fitriah was the recipient of the IIUM Academic Excellence Award and currently attached with IIUM as an academic trainee. She received several awards from International academic conferences including the Best Poster, Gold Medal, and Best Paper Honorable Mention awards. She works closely with industry focusing on the R&D projects. Her current research focus is computer forensics, network security, malware analysis, and machine learning.

Natalia Stakhanova, Canadian Institute for Cybersecurity (CIC), University of New Brunswick, New Brunswick, Canada

Natalia Stakhanova is an Assistant Professor and the New Brunswick Innovation Research Chair in Cyber Security at the University of New Brunswick, Canada. Her work revolves around building secure systems and includes mobile security, IoT security, software obfuscation & reverse engineering, and malicious software. Working closely with industry on a variety of R&D projects, she developed a number of technologies that resulted in 3 patents in the field of computer security. Natalia Stakhanova is the recipient of the UNB Merit Award, the McCain Young Scholar Award and the Anita Borg Institute Faculty Award.

Ali A. Ghorbani, Canadian Institute for Cybersecurity (CIC), University of New Brunswick, New Brunswick, Canada

Ali A. Ghorbani is currently serves as Director of the Canadian Institute for Cybersecurity (CIC) at the University of New Brunswick, Fredericton, Canada. Dr. Ghorbani is the co-Editor-In- Chief of Computational Intelligence, an international journal. He supervised more than 150 research associates, postdoctoral fellows, and undergraduate & graduate students and authored more than 250 research papers in journals and conference proceedings and has edited 11 volumes. He is the co-inventor of 3 patents in the area of Network Security. His current research focus is cybersecurity, complex adaptive systems, critical infrastructure protection, and web intelligence.

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Published

2018-02-18

How to Cite

1.
Abdul Kadir AF, Stakhanova N, Ghorbani AA. Understanding Android Financial Malware Attacks:Taxonomy, Characterization, and Challenges. JCSANDM [Internet]. 2018 Feb. 18 [cited 2024 Nov. 23];7(3):1-52. Available from: https://journals.riverpublishers.com/index.php/JCSANDM/article/view/5305

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