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Mobile Malware: Patterns, Consequences, and Approaches for Prevention

EasyChair Preprint no. 12017

9 pagesDate: February 10, 2024

Abstract

The proliferation of mobile devices has led to a surge in mobile malware, presenting significant challenges for users, organizations, and cybersecurity professionals. This paper explores the current trends, impact, and mitigation strategies surrounding mobile malware. Mobile malware encompasses various forms of malicious software designed to exploit vulnerabilities in mobile devices, such as smartphones and tablets. These threats include but are not limited to viruses, worms, Trojans, and spyware, often distributed through app stores, malicious websites, or phishing campaigns. The consequences of mobile malware can be severe, ranging from data theft and financial loss to privacy breaches and device hijacking. Furthermore, collaboration between industry stakeholders, government agencies, and cybersecurity experts is essential to stay ahead of emerging threats and develop proactive defense mechanisms. This paper highlights the importance of information sharing, threat intelligence sharing platforms, and coordinated incident response efforts in combating mobile malware effectively. In conclusion, mobile malware poses significant risks to the security and privacy of mobile users and organizations worldwide. By staying informed about current trends, implementing robust security measures, and fostering collaboration within the cybersecurity community, stakeholders can mitigate the impact of mobile malware and protect against future threats.

Keyphrases: Cybersecurity, impact, information sharing, intelligence, mitigation strategies, mobile malware, Ransomware, Social Engineering, threat, trends, zero-day vulnerabilities

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@Booklet{EasyChair:12017,
  author = {Haney Zaki},
  title = {Mobile Malware: Patterns, Consequences, and Approaches for Prevention},
  howpublished = {EasyChair Preprint no. 12017},

  year = {EasyChair, 2024}}
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