Application of RC4 Cryptography Method to Support XML Security on Digital Chain of Custody Data Storage

Widatama, Krisna; Prayudi, Bambang Sugiantoro Yudi

doi:10.17781/p002400

Cited by 3 publications

(3 citation statements)

References 3 publications

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“…The authors in [23] encrypted the XML structure on the digital chain of custody data storage using the RC4 cryptography technique. One benefit of utilizing XML is that it is simple for non-professionals to comprehend.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Digital evidence is complex, diffuse, volatile, and easy to change. There are many indications that may be used to identify problems with the management of CoC [10] [20][21][22][23]: (1) Threats to the data integrity of digital evidence throughout its lifetime. (2) A massive amount of data is produced by billions of linked devices and must be stored, presenting significant difficulties in ensuring authenticity.…”

Section: Introductionmentioning

confidence: 99%

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Improving Uncertainty in Chain of Custody for Image Forensics Investigation Applications

Elgohary¹,

Darwish

Mesbah

2022

IEEE Access

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Digital evidence is critical in cybercrime investigations because it is used to connect individuals to illegal activity. Digital evidence is complicated, diffuse, volatile, and easily altered, and as such, it must be protected. The Chain of Custody (CoC) is a critical component of the digital evidence procedure. The aim of the CoC is to demonstrate that the evidence has not been tampered with at any point throughout the investigation. Because the uncertainty associated with digital evidence is not being assessed at the moment, it is impossible to determine the trustworthiness of CoC. As scientists, forensic examiners have a responsibility to reverse this tendency and officially confront the uncertainty inherent in any evidence upon which they base their judgments. To address these issues, this article proposes a new paradigm for ensuring the integrity of digital evidence (CoC documents). The new paradigm employed fuzzy hash within blockchain data structure to handle uncertainty introduced by errorprone tools when dealing with CoC documents. Traditional hashing techniques are designed to be sensitive to small input modifications and can only determine if the inputs are exactly the same or not. By comparing the similarity of two images, fuzzy hash functions can determine how different they are. We provide a case study for image forensics to illustrate the usefulness of this model in introducing forensic preparedness to computer systems and enabling a more effective digital investigation procedure.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Improving Uncertainty in Chain of Custody for Image Forensics Investigation Applications

Elgohary¹,

Darwish

Mesbah

2022

IEEE Access

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“…Based on Ashcroft, Daniels, & Hart, (2004) in the National Institute of Justice report, the Chain of Custody form document contains a history or chronology of the journey of evidence containing complete information such as subjects / objects involved in collection and analysis activities, date / time and place collection and analysis, full names and nicknames of victims and perpetrators, agency names and full description of evidence. There are 4 things that must be considered in handling Chain of Custody (Widatama, et al, 2018), namely: Flexibility and capability in the chain of custody documentation, Interoperability between evidence obtained with the chain of custody, Security in the chain of custody documentation, Chain making of custody must be understood by everyone, especially when the case is brought to court.…”

Section: Institut Teknologi Bisnis Aas Indonesiamentioning

confidence: 99%

The Management of Physical Evidence and Chain of Custody (CoC) in Digital Forensic Laboratory Storage

Efendi¹

2019

seocology

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Computer crime has 2 types of evidence, namely: physical evidence and digital evidence. Storage on physical evidence requires a special space that can hold physical evidence. However, a system that can store and manage physical evidence is needed.The current problem is the absence of a concept of storing physical evidence and its documentation (Chain of Custody). Management of Physical Evidence is proposed as a solution to solve the problem. This concept is in the form of a Physical Evidence Management System and Chain of Custody by taking the analogy of a Data Inventory. Problems with Physical Evidence Management require a Management System for Physical Evidence that is suitable for use in the UII Digital Forensics Laboratory. This research has successfully implemented the concept of Data Inventory. It is expected that with the concept of Physical Evidence Management the control of physical evidence and all activities related to it can be maintained and documented properly.

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A Procedure for Tracing Chain of Custody in Digital Image Forensics: A Paradigm Based on Grey Hash and Blockchain

Ali

Ismail

Elgohary³

et al. 2022

Symmetry

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Digital evidence is critical in cybercrime investigations because it is used to connect individuals to illegal activity. Digital evidence is complicated, diffuse, volatile, and easily altered, and as such, it must be protected. The Chain of Custody (CoC) is a critical component of the digital evidence procedure. The aim of the CoC is to demonstrate that the evidence has not been tampered with at any point throughout the investigation. Because the uncertainty associated with digital evidence is not being assessed at the moment, it is impossible to determine the trustworthiness of CoC. As scientists, forensic examiners have a responsibility to reverse this tendency and officially confront the uncertainty inherent in any evidence upon which they base their judgments. To address these issues, this article proposes a new paradigm for ensuring the integrity of digital evidence (CoC documents). The new paradigm employs fuzzy hash within blockchain data structure to handle uncertainty introduced by error-prone tools when dealing with CoC documents. Traditional hashing techniques are designed to be sensitive to small input modifications and can only determine if the inputs are exactly the same or not. By comparing the similarity of two images, fuzzy hash functions can determine how different they are. With the symmetry idea at its core, the suggested framework effectively deals with random parameter probabilities, as shown in the development of the fuzzy hash segmentation function. We provide a case study for image forensics to illustrate the usefulness of this framework in introducing forensic preparedness to computer systems and enabling a more effective digital investigation procedure.

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Application of RC4 Cryptography Method to Support XML Security on Digital Chain of Custody Data Storage

Cited by 3 publications

References 3 publications

Improving Uncertainty in Chain of Custody for Image Forensics Investigation Applications

Improving Uncertainty in Chain of Custody for Image Forensics Investigation Applications

The Management of Physical Evidence and Chain of Custody (CoC) in Digital Forensic Laboratory Storage

A Procedure for Tracing Chain of Custody in Digital Image Forensics: A Paradigm Based on Grey Hash and Blockchain

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