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PERFORMANCE COMPARISON OF SECURE STORAGE METHODS FOR DIGITAL FORENSIC EVIDENCE

Year 2023, Volume: 7 Issue: 2, 131 - 138, 29.12.2023

Remzi Gürfidan Muzaffer Tatlı

Abstract

In the field of forensic informatics, digital data related to criminal and forensic investigations are collected, analysed, preserved and presented. Hacking, digital data recovery, data analysis, data analysis, data analysis, digital document analysis and analysis of data from mobile devices and other digital devices are included in the field of forensics. Using data collected from computers, mobile devices, hard disks, USB drives, digital cameras, cloud storage and other digital media, forensic experts are tasked with finding evidence. They also work on issues such as finding ways to protect against hackers and creating digital security measures. In a rapidly evolving digital world, the field of forensics is crucial for assisting criminal investigations and tracking the digital footprints of criminals. The guiding principles of forensic experts are legal compliance, accuracy, objectivity and security of evidence. During case analysis, law enforcement and prosecutors take photographs of the crime scene and evidence, after which the relevant report is written and the evidence file is created. The transparency and reliability of the procedure for the case in question is threatened by the vulnerability of this digitized and preserved content. Cyber-attacks that modify or destroy digital data result in the loss of relevant digital evidence. To prevent this problem and provide a solution, this paper compares the performance of a blockchain-based digital data storage application with a Tangle-based system. Photos of the incident environment and the incident report are combined and stored in the test model. The performance metrics of the system are rigorously measured. The study reveals that IOTA Tangle shows significant speed advantages (35 ms for 3KB images and 31 ms for 11KB images), especially in scenarios involving the storage of image data. In our analysis, Hyperledger Fabric performs commendably in character data processing, exhibiting lower response times (36 ms for 100 characters and 32 ms for 1000 characters) compared to IOTA Tangle.

Keywords

Digital Forensic blockchain data security data privacy

References

  • Attaran, M., 2020. Blockchain technology in healthcare: Challenges and opportunities. Https://Doi.Org/10.1080/20479700.2020.1843887, 15(1), 70–83. https://doi.org/10.1080/20479700.2020.1843887
  • Çil, A., and Demirci, M., 2022. Ağ Adli Bilişimi Süreç Gereksinimlerinin Belirlenmesi ve Yazılım Tanımlı Ağlarda İncelenmesi. Journal of Polytechnic, 1(1). https://doi.org/10.2339/politeknik.1141107
  • Çil, A., and Demi̇rci̇, M., 2022. Determination of Network Forensics Process Requirements and Analysis in Software-Defined Networks. Journal Of Polytechnic-Politeknik Dergisi. https://doi.org/10.2339/POLITEKNIK.1141107
  • Ferrag, M. A., and Shu, L., 2021. The Performance Evaluation of Blockchain-Based Security and Privacy Systems for the Internet of Things: A Tutorial. IEEE Internet of Things Journal, 8(24), 17236–17260. https://doi.org/10.1109/JIOT.2021.3078072
  • Gangwani, P., Perez-Pons, A., Bhardwaj, T., Upadhyay, H., Joshi, S., and Lagos, L., 2021. Securing Environmental IoT Data Using Masked Authentication Messaging Protocol in a DAG-Based Blockchain: IOTA Tangle. Future Internet 2021, 13(12), 312. https://doi.org/10.3390/FI13120312
  • Guo, F., Xiao, X., Hecker, A., and Dustdar, S., 2022. A Theoretical Model Characterizing Tangle Evolution in IOTA Blockchain Network. IEEE Internet of Things Journal. https://doi.org/10.1109/JIOT.2022.3207513
  • Halpin, H., and Piekarska, M., 2017. Introduction to security and privacy on the blockchain. Proceedings - 2nd IEEE European Symposium on Security and Privacy Workshops, EuroS and PW 2017, 1–3. https://doi.org/10.1109/EUROSPW.2017.43
  • Hellani, H., Sliman, L., Samhat, A. E., and Exposito, E., 2021. Tangle the Blockchain: Towards Connecting Blockchain and DAG. Proceedings of the Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises, WETICE, 2021-October, 63–68. https://doi.org/10.1109/WETICE53228.2021.00023
  • Karie, N. M., and Venter, H. S., 2015. Taxonomy of Challenges for Digital Forensics. Journal of Forensic Sciences, 60(4), 885–893. https://doi.org/10.1111/1556-4029.12809
  • Kumar, G., Saha, R., Lal, C., and Conti, M., 2021. Internet-of-Forensic (IoF): A blockchain based digital forensics framework for IoT applications. Future Generation Computer Systems, 120, 13–25. https://doi.org/10.1016/J.FUTURE.2021.02.016
  • Li, M., Chen, Y., Lal, C., Conti, M., Alazab, M., and Hu, D., 2023. Eunomia: Anonymous and Secure Vehicular Digital Forensics Based on Blockchain. IEEE Transactions on Dependable and Secure Computing, 20(1), 225–241. https://doi.org/10.1109/TDSC.2021.3130583
  • Li, M., Lal, C., Conti, M., and Hu, D., 2021. LEChain: A blockchain-based lawful evidence management scheme for digital forensics. Future Generation Computer Systems, 115, 406–420. https://doi.org/10.1016/J.FUTURE.2020.09.038
  • Li, S., Qin, T., and Min, G., 2019. Blockchain-Based Digital Forensics Investigation Framework in the Internet of Things and Social Systems. IEEE Transactions on Computational Social Systems, 6(6), 1433–1441. https://doi.org/10.1109/TCSS.2019.2927431
  • Lone, A. H., and Mir, R. N., 2019. Forensic chain: Blockchain based digital forensics chain of custody with PoC in Hyperledger Composer. Digital Investigation, 28, 44–55. https://doi.org/10.1016/J.DIIN.2019.01.002
  • O’Malley, T., 2015. Forensic informatics enabling forensic intelligence. Australian Journal of Forensic Sciences, 47(1), 27–35. https://doi.org/10.1080/00450618.2014.922618
  • Patel, R., Migliavacca, M., and Oriani, M. E., 2022. Blockchain in banking and finance: A bibliometric review. Research in International Business and Finance, 62, 101718. https://doi.org/10.1016/J.RIBAF.2022.101718
  • Rawat, A., Daza, V., and Signorini, M., 2022. Offline Scaling of IoT Devices in IOTA Blockchain. Sensors 2022, Vol. 22, Page 1411, 22(4), 1411. https://doi.org/10.3390/S22041411
  • Rochman, S., Istiyanto, J. E., Dharmawan, A., Handika, V., and Purnama, S. R., 2023. Optimization of tips selection on the IOTA tangle for securing blockchain-based IoT transactions. Procedia Computer Science, 216, 230–236. https://doi.org/10.1016/J.PROCS.2022.12.131
  • Ryu, J. H., Sharma, P. K., Jo, J. H., and Park, J. H., 2019. A blockchain-based decentralized efficient investigation framework for IoT digital forensics. Journal of Supercomputing, 75(8), 4372–4387. https://doi.org/10.1007/S11227-019-02779-9/FIGURES/7
  • Silvano, W. F., and Marcelino, R., 2020. Iota Tangle: A cryptocurrency to communicate Internet-of-Things data. Future Generation Computer Systems, 112, 307–319. https://doi.org/10.1016/J.FUTURE.2020.05.047
  • Singh, A., Singh, N., Singh, S. K., and Nayak, S. K., 2023. Cyber-Crime and Digital Forensics: Challenges Resolution. 2023 International Conference on Computer Communication and Informatics, ICCCI 2023. https://doi.org/10.1109/ICCCI56745.2023.10128333
  • Singh, A., Ikuesan, R. A., and Venter, H., 2022. Secure storage model for digital forensic readiness. IEEE Access, 10, 19469-19480.
  • Shobana, G., 2021. The State of the art tools and techniques for remote digital forensic investigations. In 2021 3rd International Conference on Signal Processing and Communication (ICPSC). May 2021. 464-468. IEEE.

DİJİTAL ADLİ DELİLLERİN GÜVENLİ DEPOLAMA YÖNTEMLERİNİN PERFORMANS KARŞILAŞTIRMASI

Year 2023, Volume: 7 Issue: 2, 131 - 138, 29.12.2023

Remzi Gürfidan Muzaffer Tatlı

Abstract

Adli bilişim alanında, suç ve adli soruşturmalarla ilgili dijital veriler toplanır, analiz edilir, korunur ve sunulur. Hackleme, dijital veri kurtarma, veri analizi, veri analizi, dijital belge analizi ve mobil cihazlardan ve diğer dijital cihazlardan gelen verilerin analizi adli bilişim alanına dahildir. Bilgisayarlar, mobil cihazlar, sabit diskler, USB sürücüler, dijital kameralar, bulut depolama ve diğer dijital ortamlardan toplanan verileri kullanarak adli tıp uzmanları kanıt bulmakla görevlidir. Ayrıca bilgisayar korsanlarına karşı korunma yolları bulmak ve dijital güvenlik önlemleri oluşturmak gibi konular üzerinde de çalışırlar. Adli tıp alanı, hızla gelişen dijital dünyada cezai soruşturmalara yardımcı olmak ve suçluların dijital ayak izlerini takip etmek için çok önemlidir. Adli tıp uzmanlarının yol gösterici ilkeleri yasal uyumluluk, doğruluk, nesnellik ve kanıtların güvenliğidir. Vaka analizi sırasında kolluk kuvvetleri ve savcılar olay yeri ve delillerin fotoğraflarını çeker, ardından ilgili rapor yazılır ve delil dosyası oluşturulur. Söz konusu davaya ilişkin prosedürün şeffaflığı ve güvenilirliği, bu dijitalleştirilmiş ve korunmuş içeriğin savunmasızlığı nedeniyle tehdit altındadır. Dijital verileri değiştiren veya yok eden siber saldırılar, ilgili dijital kanıtların kaybolmasına neden olur. Bu sorunu önlemek ve bir çözüm sunmak için bu makale, blok zinciri tabanlı bir dijital veri depolama uygulamasının performansını Tangle tabanlı bir sistemle karşılaştırmaktadır. Olay ortamının fotoğrafları ve olay raporu birleştirilerek test modelinde saklanmaktadır. Sistemin performans metrikleri titizlikle ölçülmüştür. Çalışma, özellikle görüntü verilerinin depolanmasını içeren senaryolarda, IOTA Tangle'ın kayda değer hız avantajları (3KB görüntüler için 35 ms ve 11KB görüntüler için 31 ms) gösterdiğini ortaya koymaktadır. İncelememizde Hyperledger Fabric, karakter verilerinin işlenmesinde övgüye değer bir performans sergileyerek IOTA Tangle'a kıyasla daha düşük yanıt süreleri (100 karakter için 36 ms ve 1000 karakter için 32 ms) sergilemektedir.

Keywords

Dijital Adli Tıp blockchain veri güvenliği veri gizliliği

References

  • Attaran, M., 2020. Blockchain technology in healthcare: Challenges and opportunities. Https://Doi.Org/10.1080/20479700.2020.1843887, 15(1), 70–83. https://doi.org/10.1080/20479700.2020.1843887
  • Çil, A., and Demirci, M., 2022. Ağ Adli Bilişimi Süreç Gereksinimlerinin Belirlenmesi ve Yazılım Tanımlı Ağlarda İncelenmesi. Journal of Polytechnic, 1(1). https://doi.org/10.2339/politeknik.1141107
  • Çil, A., and Demi̇rci̇, M., 2022. Determination of Network Forensics Process Requirements and Analysis in Software-Defined Networks. Journal Of Polytechnic-Politeknik Dergisi. https://doi.org/10.2339/POLITEKNIK.1141107
  • Ferrag, M. A., and Shu, L., 2021. The Performance Evaluation of Blockchain-Based Security and Privacy Systems for the Internet of Things: A Tutorial. IEEE Internet of Things Journal, 8(24), 17236–17260. https://doi.org/10.1109/JIOT.2021.3078072
  • Gangwani, P., Perez-Pons, A., Bhardwaj, T., Upadhyay, H., Joshi, S., and Lagos, L., 2021. Securing Environmental IoT Data Using Masked Authentication Messaging Protocol in a DAG-Based Blockchain: IOTA Tangle. Future Internet 2021, 13(12), 312. https://doi.org/10.3390/FI13120312
  • Guo, F., Xiao, X., Hecker, A., and Dustdar, S., 2022. A Theoretical Model Characterizing Tangle Evolution in IOTA Blockchain Network. IEEE Internet of Things Journal. https://doi.org/10.1109/JIOT.2022.3207513
  • Halpin, H., and Piekarska, M., 2017. Introduction to security and privacy on the blockchain. Proceedings - 2nd IEEE European Symposium on Security and Privacy Workshops, EuroS and PW 2017, 1–3. https://doi.org/10.1109/EUROSPW.2017.43
  • Hellani, H., Sliman, L., Samhat, A. E., and Exposito, E., 2021. Tangle the Blockchain: Towards Connecting Blockchain and DAG. Proceedings of the Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises, WETICE, 2021-October, 63–68. https://doi.org/10.1109/WETICE53228.2021.00023
  • Karie, N. M., and Venter, H. S., 2015. Taxonomy of Challenges for Digital Forensics. Journal of Forensic Sciences, 60(4), 885–893. https://doi.org/10.1111/1556-4029.12809
  • Kumar, G., Saha, R., Lal, C., and Conti, M., 2021. Internet-of-Forensic (IoF): A blockchain based digital forensics framework for IoT applications. Future Generation Computer Systems, 120, 13–25. https://doi.org/10.1016/J.FUTURE.2021.02.016
  • Li, M., Chen, Y., Lal, C., Conti, M., Alazab, M., and Hu, D., 2023. Eunomia: Anonymous and Secure Vehicular Digital Forensics Based on Blockchain. IEEE Transactions on Dependable and Secure Computing, 20(1), 225–241. https://doi.org/10.1109/TDSC.2021.3130583
  • Li, M., Lal, C., Conti, M., and Hu, D., 2021. LEChain: A blockchain-based lawful evidence management scheme for digital forensics. Future Generation Computer Systems, 115, 406–420. https://doi.org/10.1016/J.FUTURE.2020.09.038
  • Li, S., Qin, T., and Min, G., 2019. Blockchain-Based Digital Forensics Investigation Framework in the Internet of Things and Social Systems. IEEE Transactions on Computational Social Systems, 6(6), 1433–1441. https://doi.org/10.1109/TCSS.2019.2927431
  • Lone, A. H., and Mir, R. N., 2019. Forensic chain: Blockchain based digital forensics chain of custody with PoC in Hyperledger Composer. Digital Investigation, 28, 44–55. https://doi.org/10.1016/J.DIIN.2019.01.002
  • O’Malley, T., 2015. Forensic informatics enabling forensic intelligence. Australian Journal of Forensic Sciences, 47(1), 27–35. https://doi.org/10.1080/00450618.2014.922618
  • Patel, R., Migliavacca, M., and Oriani, M. E., 2022. Blockchain in banking and finance: A bibliometric review. Research in International Business and Finance, 62, 101718. https://doi.org/10.1016/J.RIBAF.2022.101718
  • Rawat, A., Daza, V., and Signorini, M., 2022. Offline Scaling of IoT Devices in IOTA Blockchain. Sensors 2022, Vol. 22, Page 1411, 22(4), 1411. https://doi.org/10.3390/S22041411
  • Rochman, S., Istiyanto, J. E., Dharmawan, A., Handika, V., and Purnama, S. R., 2023. Optimization of tips selection on the IOTA tangle for securing blockchain-based IoT transactions. Procedia Computer Science, 216, 230–236. https://doi.org/10.1016/J.PROCS.2022.12.131
  • Ryu, J. H., Sharma, P. K., Jo, J. H., and Park, J. H., 2019. A blockchain-based decentralized efficient investigation framework for IoT digital forensics. Journal of Supercomputing, 75(8), 4372–4387. https://doi.org/10.1007/S11227-019-02779-9/FIGURES/7
  • Silvano, W. F., and Marcelino, R., 2020. Iota Tangle: A cryptocurrency to communicate Internet-of-Things data. Future Generation Computer Systems, 112, 307–319. https://doi.org/10.1016/J.FUTURE.2020.05.047
  • Singh, A., Singh, N., Singh, S. K., and Nayak, S. K., 2023. Cyber-Crime and Digital Forensics: Challenges Resolution. 2023 International Conference on Computer Communication and Informatics, ICCCI 2023. https://doi.org/10.1109/ICCCI56745.2023.10128333
  • Singh, A., Ikuesan, R. A., and Venter, H., 2022. Secure storage model for digital forensic readiness. IEEE Access, 10, 19469-19480.
  • Shobana, G., 2021. The State of the art tools and techniques for remote digital forensic investigations. In 2021 3rd International Conference on Signal Processing and Communication (ICPSC). May 2021. 464-468. IEEE.
There are 23 citations in total.

Details

Primary Language English
Subjects Optimization Techniques in Mechanical Engineering
Journal Section Research Articles
Authors

Remzi Gürfidan 0000-0002-4899-2219

Muzaffer Tatlı 0000-0001-9075-3791

Early Pub Date December 27, 2023
Publication Date December 29, 2023
Submission Date October 26, 2023
Acceptance Date November 16, 2023
Published in Issue Year 2023 Volume: 7 Issue: 2

Cite

APA Gürfidan, R., & Tatlı, M. (2023). PERFORMANCE COMPARISON OF SECURE STORAGE METHODS FOR DIGITAL FORENSIC EVIDENCE. Uluslararası Sürdürülebilir Mühendislik Ve Teknoloji Dergisi, 7(2), 131-138.
AMA Gürfidan R, Tatlı M. PERFORMANCE COMPARISON OF SECURE STORAGE METHODS FOR DIGITAL FORENSIC EVIDENCE. Sistem Güncelleme. December 2023;7(2):131-138.
Chicago Gürfidan, Remzi, and Muzaffer Tatlı. “PERFORMANCE COMPARISON OF SECURE STORAGE METHODS FOR DIGITAL FORENSIC EVIDENCE”. Uluslararası Sürdürülebilir Mühendislik Ve Teknoloji Dergisi 7, no. 2 (December 2023): 131-38.
EndNote Gürfidan R, Tatlı M (December 1, 2023) PERFORMANCE COMPARISON OF SECURE STORAGE METHODS FOR DIGITAL FORENSIC EVIDENCE. Uluslararası Sürdürülebilir Mühendislik ve Teknoloji Dergisi 7 2 131–138.
IEEE R. Gürfidan and M. Tatlı, “PERFORMANCE COMPARISON OF SECURE STORAGE METHODS FOR DIGITAL FORENSIC EVIDENCE”, Sistem Güncelleme, vol. 7, no. 2, pp. 131–138, 2023.
ISNAD Gürfidan, Remzi - Tatlı, Muzaffer. “PERFORMANCE COMPARISON OF SECURE STORAGE METHODS FOR DIGITAL FORENSIC EVIDENCE”. Uluslararası Sürdürülebilir Mühendislik ve Teknoloji Dergisi 7/2 (December 2023), 131-138.
JAMA Gürfidan R, Tatlı M. PERFORMANCE COMPARISON OF SECURE STORAGE METHODS FOR DIGITAL FORENSIC EVIDENCE. Sistem Güncelleme. 2023;7:131–138.
MLA Gürfidan, Remzi and Muzaffer Tatlı. “PERFORMANCE COMPARISON OF SECURE STORAGE METHODS FOR DIGITAL FORENSIC EVIDENCE”. Uluslararası Sürdürülebilir Mühendislik Ve Teknoloji Dergisi, vol. 7, no. 2, 2023, pp. 131-8.
Vancouver Gürfidan R, Tatlı M. PERFORMANCE COMPARISON OF SECURE STORAGE METHODS FOR DIGITAL FORENSIC EVIDENCE. Sistem Güncelleme. 2023;7(2):131-8.
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