Computational Intelligence in Digital Forensics

Pratama, Satrya Fajri; Pratiwi, Lustiana; Abraham, Ajith; Muda, Azah Kamilah

doi:10.1007/978-3-319-05885-6_1

Cited by 9 publications

(4 citation statements)

References 12 publications

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“…Untuk mendapatkan image yang sudah diubah, diperlukan beberapa tahap dalam melakukan proses forensik citra digital. Didalam nya terdapat beberapa perubahan dari aslinya pada setiap nilai pikselnya (Pratama, 2014).…”

Section: Pendahuluanunclassified

Analisis Pendeteksi Kecocokan Objek Pada Citra Digital Dengan Metode Algoritma Sift Dan Histogram Color RGB

Caruban¹,

Sugiantoro²,

Prayudi³

2018

csecurity

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Through using tools of image processing on digital images just like gimp and adobe photoshop applications, an image on digital images can be a source of information for anyone who observes it. On one hand, those applications can easily change or manipulate the authenticity of the image. On the other hand, they can be misused to undermine the credibility of the authenticity of the image in various aspects. Thus, they can be considered as a crime. The implementation of the SIFT Algorithm (Scale Invariant feature transform) and RGB color histogram in Matlab can detect object fitness in digital images and perform accurate test. This study discusses the implementation of getting object fitness on digital image that has been manipulated by SIFT Algorithm method on the Matlab source. It is done by comparing the original image with the manipulated one. The object fitness in digital images can be obtained from a number of key points and other additional parameters through comparing number of pixels on the analyzed image and on the changed histogram in RGB color on each analyzed image. The digital image forensics which is known as one of the scientific methods commonly used in researches is aimed to obtain evidences or facts in determining the authenticity of the image on digital images. The use of the SIFT algorithm is chosen as an extraction method because it is invariant to scale, rotation, translation, and illumination changes. SIFT is used to obtain characteristics of the pattern of the gained key point. The tested result of the SIFT Algorithm method (Scale Invariant feature transform) is expected to produce a better image analysis.

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Section: Pendahuluanunclassified

Analisis Pendeteksi Kecocokan Objek Pada Citra Digital Dengan Metode Algoritma Sift Dan Histogram Color RGB

Caruban¹,

Sugiantoro²,

Prayudi³

2018

csecurity

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“…A typical case involves the need to identify a subject: in such a scenario, the information provided by the naming conventions of Facebook 3 , jointly with the possible availability of devices, can help the investigators in order to confirm the identity of a suspect person. More about Social Network Forensic can be read in [18]. Another interesting scenario consider the detection of possible forgeries, in order to prove the authenticity of a picture.…”

Section: Motivation and Scenariosmentioning

confidence: 99%

Image Manipulation on Facebook for Forensics Evidence

Moltisanti

Paratore

Battiato

et al. 2015

Lecture Notes in Computer Science

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The growth of popularity of Social Network Services (SNSs) opened new perspectives in many research fields, including the emerging area of Multimedia Forensics. In particular, the huge amount of images uploaded to the social networks can represent a significant source of evidence for investigations, if properly processed. This work aims to exploit the algorithms and techniques behind the uploading process of a picture on Facebook, in order to find out if any of the involved steps (resizing, compression, renaming, etc.) leaves a trail on the picture itself, so to infer proper hypotheses about the authenticity and other forensic aspects of the pipeline.

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“…These innovative designs proven to be a challenge for law enforcement agencies and introduce a new layer of difficulties in detecting and identifying using existing laboratory techniques, which sometimes lead to both false positive and negative results, and thus, incorrectly outline the outcome of criminal justice court [3]- [6]. Due to these limitations, it is preferable to perform the identification by relying on computational intelligence methods [7], and taking advantage of the shape of molecular structures.…”

Section: Introductionmentioning

confidence: 99%

Using 3D Hahn Moments as A Computational Representation of ATS Drugs Molecular Structure

Pratama

Muda

Choo

et al. 2020

Advances in Intelligent Systems and Computing

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The campaign against drug abuse is fought by all countries, most notably on ATS drugs. The technical limitations of the current test kits to detect new brand of ATS drugs present a challenge to law enforcement authorities and forensic laboratories. Meanwhile, new molecular imaging devices which allowed mankind to characterize the physical 3D molecular structure have been recently introduced, and it can be used to remedy the limitations of existing drug test kits. Thus, a new type of 3D molecular structure representation technique should be developed to cater the 3D molecular structure acquired physically using these molecular imaging devices. One of the applications of image processing methods to represent a 3D image is 3D moments, and this study formulates a new 3D moments technique, namely 3D Hahn moments, to represent the 3D molecular structure of ATS drugs. The performance of the proposed technique was analysed using drug chemical structures obtained from UNODC for the ATS drugs, while non-ATS drugs are obtained randomly from ChemSpider database. The evaluation shows the technique is qualified to be further explored in the future works to be fully compatible with ATS drug identification domain.

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Computational Intelligence in Digital Forensics

Cited by 9 publications

References 12 publications

Analisis Pendeteksi Kecocokan Objek Pada Citra Digital Dengan Metode Algoritma Sift Dan Histogram Color RGB

Analisis Pendeteksi Kecocokan Objek Pada Citra Digital Dengan Metode Algoritma Sift Dan Histogram Color RGB

Image Manipulation on Facebook for Forensics Evidence

Using 3D Hahn Moments as A Computational Representation of ATS Drugs Molecular Structure

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