digital forensic within enterprise risk management


After reading the required articles this week, please write a research paper that answers the following questions: 

  • What      are mobile forensics and do you believe that they are different from      computer forensics?
  • What      is the percentage of attacks on networks that come from mobile devices?
  • What      are challenges to mobile forensics?
  • What      are some mobile forensic tools?
  • Should      the analysis be different on iOS vs Android?

Your paper should meet the following requirements:

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  • Be      approximately 4-6 pages in length, not including the required cover page      and reference page.
  • Follow      APA7 guidelines. Your paper should include an introduction, a body with      fully developed content, and a conclusion.
  • Support      your answers with the readings from the course and at least two scholarly      journal articles to support your positions, claims, and observations, in      addition to your textbook. The UC Library is a great place to find      resources.
  • Be      clearly and well-written, concise, and logical, using excellent grammar      and style techniques. You are being graded in part on the quality of your      writing.

reading airtical for this week

Montasari, R., & Hill, R. (2019). Next-Generation Digital Forensics: Challenges and Future Paradigms. 2019 IEEE 12th International Conference on Global Security, Safety and Sustainability (ICGS3), Global Security, Safety and Sustainability (ICGS3), 205.

Sahinoglu, M., Stockton, S., Barclay, R. M., & Morton, S. (2016). Metrics Based Risk Assessment and Management of Digital Forensics. Defense Acquisition Research Journal: A Publication of the Defense Acquisition University, 23(2), 152–177.

Nnoli, H. Lindskog, D, Zavarsky, P., Aghili, S., & Ruhl, R. (2012). The Governance of Corporate Forensics Using COBIT, NIST and Increased Automated Forensic Approaches, 2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Conference on Social Computing, Amsterdam, 734-741.


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