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An Analysis of Digital Forensics in Cyber Security

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First International Conference on Artificial Intelligence and Cognitive Computing

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 815))

Abstract

Digital forensics also called as computer forensics is a major field that incorporates people regardless of their professions. Digital forensics includes various forensic domains like network forensics, database forensics, mobile forensics, cloud forensics, memory forensics, and data/disk forensics. Recent statistics and analytics show the exponential growth of cyber threats and attacks and thus necessitate the need for forensic experts and forensic researchers for automation process in the cyber world. As digital forensics is directly related to data recovery and data carving, this field struggles with the rapid increase in volume of data. In addition to that, day-to-day increase of malware makes forensic field slacking. This paper provides the users and researchers some information regarding forensics and its different domains, anti-forensic techniques, and also an analysis of current status of forensics.

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References

  1. Raghavan, S. (2013). Digital forensic research: current state of the art. CSI Transactions on ICT, 1(1), 91–114. https://doi.org/10.1007/s40012-012-0008-7.

    Article  Google Scholar 

  2. Beebe, N. (2009). Digital forensic research: The good, the bad and the unaddressed. Advances in Digital Forensics V, 17–36. https://doi.org/10.1007/978-3-642-04155-6_2.

    Chapter  Google Scholar 

  3. Cybercrime survey report. November (2017).

    Google Scholar 

  4. State, U. S., & Survey, C. (2017). Key findings from the 2015 US State of Cybercrime Survey of Cybercrime Survey, (July).

    Google Scholar 

  5. Stamm, M. C., Wu, M., Liu, K. J. R., Member, M. C. S., Fellow, M. I. N. W. U., & Fellow, K. J. R. A. Y. L. I. U. (2013). Information forensics: An overview of the first decade. IEEE Access, 1, 167–200. https://doi.org/10.1109/ACCESS.2013.2260814.

    Article  Google Scholar 

  6. Chan, E., & David, F. (2010). Forenscope: A Framework for Live Forensics, 307–316.

    Google Scholar 

  7. Pichan, A., Lazarescu, M., & Soh, S. T. (2015). Cloud forensics: Technical challenges, solutions and comparative analysis. Digital Investigation, 13, 38–57. https://doi.org/10.1016/j.diin.2015.03.002.

    Article  Google Scholar 

  8. Martinez, J. (2007). Mobile Forensics. Technology, 1(1), 40. Retrieved from www.susteen.com.

  9. Irons, A., & Lallie, H. S. (2014). Digital Forensics to Intelligent Forensics, 584–596. https://doi.org/10.3390/fi6030584.

    Article  Google Scholar 

  10. Mohammed, H., Clarke, N., & Li, F. (2016). AN AUTOMATED APPROACH FOR DIGITAL FORENSIC ANALYSIS OF HETEROGENEOUS BIG DATA. Journal of Digital Forensics, Security and Law, 11N2, 1–16.

    Google Scholar 

  11. Vo, S., Freiling, F. C., Vömel, S., & Freiling, F. C. (2011). A survey of main memory acquisition and analysis techniques for the windows operating system. Digital Investigation, 8(1), 3–22. https://doi.org/10.1016/j.diin.2011.06.002.

    Article  Google Scholar 

  12. Abdallah, A., Alamin, M., Babiker, A., & Mustafa, N. (2015). A Survey on Mobile Forensic for Android Smartphones. IOSR Journal of Computer Engineering, 17(1), 2278–661. https://doi.org/10.9790/0661-17211519.

  13. Garfinkel, S. (2007). Anti-Forensics: Techniques, Detection and Countermeasures. 2nd International Conference on I-Warfare and Security, 77–84. https://doi.org/10.1.1.109.5063.

    Google Scholar 

  14. Manoj, S. K. A., & Bhaskari, D. L. (2016). Cloud Forensics-A Framework for Investigating Cyber Attacks in Cloud Environment. Procedia Computer Science, 85(Cms), 149–154. https://doi.org/10.1016/j.procs.2016.05.202.

    Article  Google Scholar 

  15. Khan, S., Ahmad, E., Shiraz, M., Gani, A., Wahab, A. W. A., & Bagiwa, M. A. (2014). Forensic challenges in mobile cloud computing. 2014 International Conference on Computer, Communications, and Control Technology (I4CT), (I4ct), 343–347. https://doi.org/10.1109/I4CT.2014.6914202.

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Correspondence to D. Paul Joseph .

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Paul Joseph, D., Norman, J. (2019). An Analysis of Digital Forensics in Cyber Security. In: Bapi, R., Rao, K., Prasad, M. (eds) First International Conference on Artificial Intelligence and Cognitive Computing . Advances in Intelligent Systems and Computing, vol 815. Springer, Singapore. https://doi.org/10.1007/978-981-13-1580-0_67

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