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Overview of Digital Forensic Tools for DataBase Analysis

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Advances in Network-Based Information Systems (NBiS 2018)

Abstract

The number of digital devices that people use in everyday life has significantly increased. Since they have become an integral part of everyday life, they contain information that are often extremely sensitive. Modern devices use complex data structures to store data (heterogeneous media files, documents, GPS positions and SQLite databases, etc.), therefore, during a forensic investigation, it has been necessary the adoption of specialized acquisition and analysis tools.

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References

  1. Amato, F., Moscato, F.: Pattern-based orchestration and automatic verification of composite cloud services. Comput. Electr. Eng. 56, 842–853 (2016)

    Article  Google Scholar 

  2. Amato, F., Moscato, F.: Exploiting cloud and workflow patterns for the analysis of composite cloud services. Future Gener. Comput. Syst. 67, 255–265 (2017)

    Article  Google Scholar 

  3. Balzano, W., Murano, A., Stranieri, S.: Logic-based clustering approach for management and improvement of vanets. J. High Speed Netw. 23(3), 225–236 (2017)

    Article  Google Scholar 

  4. Balzano, W., Murano, A., Vitale, F.: V2v-en-vehicle-2-vehicle elastic network. Procedia Comput. Sci. 98, 497–502 (2016)

    Article  Google Scholar 

  5. Balzano, W., Murano, A., Vitale, F.: Wifact–wireless fingerprinting automated continuous training. In: 2016 30th International Conference on Advanced Information Networking and Applications Workshops (WAINA), pp. 75–80. IEEE (2016)

    Google Scholar 

  6. Balzano, W., Murano, A., Vitale, F.: SNOT-WiFi: sensor network-optimized training for wireless fingerprinting. J. High Speed Netw. 24(1), 79–87 (2018)

    Article  Google Scholar 

  7. Coppolino, L., D’Antonio, S., Mazzeo, G., Romano, L.: Cloud security: emerging threats and current solutions. Comput. Electr. Eng. 59, 126–140 (2017)

    Article  Google Scholar 

  8. Mazzeo, G., Coppolino, L., D’Antonio, S., Mazzariello, C., Romano, L.: Sil2 assessment of an active/standby cots-based safety-related system. Reliabil. Eng. Syst. Saf. 176, 125–134 (2018)

    Article  Google Scholar 

  9. Piccialli, F., Chianese, A.: The internet of things supporting context-aware computing: a cultural heritage case study. Mob. Netw. Appl. 22(2), 332–343 (2017)

    Article  Google Scholar 

  10. Piccialli, F., Chianese, A.: A location-based iot platform supporting the cultural heritage domain. Concurr. Comput. 29(11) (2017)

    Google Scholar 

  11. Piccialli, F., Jung, J.E.: Understanding customer experience diffusion on social networking services by big data analytics. Mob. Netw. Appl. 22(4), 605–612 (2017)

    Article  Google Scholar 

  12. Staffa, M., Sgaglione, L., Mazzeo, G., Coppolino, L., D’Antonio, S., Romano, L., Gelenbe, E., Stan, O., Carpov, S., Grivas, E., Campegiani, P., Castaldo, L., Votis, K., Koutkias, V., Komnios, I.: An openncp-based solution for secure ehealth data exchange. J. Netw. Comput. Appl. 116, 65–85 (2018)

    Article  Google Scholar 

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Correspondence to Flora Amato .

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Amato, F., Cozzolino, G., Giacalone, M., Mazzeo, A., Moscato, F., Romeo, F. (2019). Overview of Digital Forensic Tools for DataBase Analysis. In: Barolli, L., Kryvinska, N., Enokido, T., Takizawa, M. (eds) Advances in Network-Based Information Systems. NBiS 2018. Lecture Notes on Data Engineering and Communications Technologies, vol 22. Springer, Cham. https://doi.org/10.1007/978-3-319-98530-5_85

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