Digital transformations and the viability of forensic science laboratories: Crisis-opportunity through decentralisation

Casey, Eoghan; Ribaux, Olivier; Roux, Claude

doi:10.1016/j.forsciint.2018.04.055

Cited by 10 publications

(7 citation statements)

References 3 publications

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“…As one of the powerful arms of the judiciary, doctors and employees of the organization follow important cases in the medical, laboratory, and psychiatric commissions so that they can take steps to realize the rights of the people [4]. If in hospitals it is a matter of preserving life and survival, in specialized centers of autopsy and autopsy halls it is a matter of reviving the truth, Doctors, and technicians working in the autopsy room work to restore the right to work, because corpses now have no eloquent language, and it is the doctors and forensic staff who can revive the right and soothe the heart [5].…”

Section: Introductionmentioning

confidence: 99%

Enhancing Privacy of information with Data Embedding in Medical MRI Images Based on Segmentation and HVS Model

Zabihi

Grailu

2023

Journal-ISI

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The development of communications technology and the arrival of Medicine modern equipment in the health domain has caused the diagnosis and treatment methods to be considered from a distance and medical centers are equipped with telemedicine systems. Forensic medicine organizations with daily clients and outpatient examinations such as accident clients, Conflict returns as well as spousal abuse. Doctors and employees of the organization also serve as one of the powerful arms of the judiciary, following up on important cases in the medical, laboratory, and psychiatric commissions So that they can take steps to realize the rights of the people. Patient data security has become a serious concern for professionals and one of the methods is using data embedding to the protection against these risks. In this method, medical informatics, telemedicine, and forensic medicine organizations has played a pivotal role and any mistake in the reporting can be catastrophic. The main purpose of this research is to present data on EPRs with Enhancing data embedding Based on SSIM and HVS with the help of medical image segmentation and focus on brain MRI images. In this study, innovations include the addition of the HVS block based on the SSIM criterion to meet transparency and robustness conditions. Selection of the embedding coefficient K is considered adaptively depending on the degree of uniformity of the N - ROI region with the image quality factor. The coordinates of ROI areas in one of the DCT and DWT conversion blocks have been demonstrated to have better performance at Concealment EPRs. The choice of coefficients af,k which consists of the optimization frequency sensitivity function and spatial property is comparatively done to match the visual perception of the visual system. The present study aims to improve the effectiveness of the proposed method, improve the security level, and the confidentiality of patient information, and integrate the storage of patient information and image. The simulation results of the proposed method, considering the parameters of embedding and transparency in comparison with other methods, have been done using evaluation criteria including MSE PSNR, NC, SSIM, and BER.

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Section: Introductionmentioning

confidence: 99%

Enhancing Privacy of information with Data Embedding in Medical MRI Images Based on Segmentation and HVS Model

Zabihi

Grailu

2023

Journal-ISI

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“…We argue that Ginzburg's evidential paradigm, considered in the human sciences as the model of inference from effects (Thouard, 2007), may assist in defragmenting forensic practice, currently exercised in silos of techniques and disciplines disconnected from each other (Roux et al, 2012). This defragmentation is increasingly seen as necessary in the age of digital transformations currently exerting additional pressure on practice (Casey et al, 2018; Ribaux et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Towards another paradigm for forensic science?

Crispino

Weyermann

Delémont

et al. 2021

WIREs Forensic Science

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Daubert skews the contribution of forensic science because it only took into account its Galilean dimension (construction of general predictive models).However, forensic science should better be classified in the historical sciences (clinical approach to reconstruct a past event of presence or activity). We therefore need a complementary approach that integrates the necessarily "clinical" part in the resolution of forensic issues. Such an evolution involves semiotics. While recognizing that the Bayesian way of thinking is the only prescriptive available model for interpretation fitting well in the Galilean paradigm, the complexity of the reconstruction of a past-uncontrolled singular case and the robustness of available relevant data to it, invites consideration of its implementation in a semiotic line of arguments. Indeed, Bayes makes it possible to remain in a single harmonized model integrating both the clinical and Galilean dimensions, but rapidly the complexity of the modeling and its mathematization come up against more qualitative natural and legal reasoning. Two different systems of reasoning at stake are inevitably creating a "bug" that could explain the current forensic crisis and miscarriages of justice. This anomaly is reflected in the issue of transparency (misunderstandings by and between interlocutors on the nature of the expertise, if not science).

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“…This kind of foundational knowledge is especially valuable in cases involving distinctive datasets/devices or using bespoke methods/tools when “the relevant reliability concerns may focus upon personal knowledge or experience” [13]. Public organizations that provide digital forensic services have the opportunity (perhaps even a duty) to mitigate these problems by systematically distilling and circulating knowledge throughout the decentralized forensic ecosystem [4, 14].…”

Section: Introductionmentioning

confidence: 99%

Inter‐regional digital forensic knowledge management: needs, challenges, and solutions

Casey

Zehnder

2020

Journal of Forensic Sciences

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Increasing demand for digital evidence in criminal investigations is driving decentralization of forensic capabilities closer to the crime scene. Law enforcement agencies are struggling to keep pace with technological developments, cybercrime growth, and scientific advances. In federated environments, digital forensic knowledge and practices vary widely across regions. To reduce delays, wasted resources, missed opportunities, mistakes, and misinterpretations, there is a pressing need to balance the democratization of digital forensic capabilities with knowledge management and sharing between decentralized regions. There are multiple forms of knowledge to be managed, including procedural, technical, investigative, scientific, behavioral, crime analysis, and forensic intelligence. In addition, there are multiple knowledge producers and consumers, including police investigators, digital forensic practitioners, criminal intelligence analysts, attorneys, and judges. Knowledge management becomes even more challenging when multiple interdependent regions are involved, speaking different languages. Taking all of these factors into consideration, this work presents an inter‐regional knowledge management solution for improving the quality, consistency, reliability, efficiency, cost‐effectiveness, and return on investment of digital forensic capabilities. The basis of this work is a community‐driven initiative of Swiss regional police authorities. Interviews were conducted with 15 digital forensic units to determine their current knowledge management practices and needs. The results were then generalized into a prioritized set of requirements for inter‐regional digital forensic knowledge management that may be applicable in other countries. These requirements were used to evaluate knowledge management platforms, and one was selected. Implementation, operations, and maintenance challenges of an inter‐regional digital forensic knowledge management platform are discussed.

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Digital transformations and the viability of forensic science laboratories: Crisis-opportunity through decentralisation

Cited by 10 publications

References 3 publications

Enhancing Privacy of information with Data Embedding in Medical MRI Images Based on Segmentation and HVS Model

Enhancing Privacy of information with Data Embedding in Medical MRI Images Based on Segmentation and HVS Model

Towards another paradigm for forensic science?

Inter‐regional digital forensic knowledge management: needs, challenges, and solutions

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