A New Digital Evidence Retrieval Model For Gambling Machine Forensic Investigation

2012 ◽  
Author(s):  
Pritheega Magalingam ◽  
Azizah Abdul Manaf ◽  
Zuraimi Yahya ◽  
Rabiah Ahmad
Keyword(s):  
Forensic Analysis ◽  
Digital Evidence ◽  
Retrieval Model ◽  
Forensic Investigation ◽  
Forensic Evidence ◽  
Retrieval Method ◽  
Illegal Gambling ◽  
Digital Forensic ◽  
Evidence Analysis ◽  
Gaming Machine

Analisis forensik perkakasan melibatkan proses menganalisa data yang di perolehi secara elektronik untuk menunjukkan bukti sama ada peralatan elektronik adalah digunakan untuk melakukan jenayah, mengandungi bukti jenayah atau ia adalah satu sasaran jenayah. Penyalahgunaan mesin permainan merupakan sumber utama permainan haram dijalankan. Kerja penyelidikan ini memperkenalkan kaedah mendapatkan maklumat dari satu mesin permainan yang telah dirampas oleh PDRM dan menganalisis data yang diterjemahkan untuk membuktikan bahawa mesin permainan tersebut digunakan secara haram. Prosedur mendapatkan bukti digital ini dibina untuk membantu pihak polis atau penyiasat dalam penganalisaan maklumat digital dan ia boleh dijadikan sebagai satu garis panduan untuk mengenalpasti bukti yang relevan untuk menunjukan aktiviti perjudian haram dijalankan. Kata kunci: Forensik digital, analisis forensik, mesin judi, kaedah pengambilan informasi, penterjemahan, pencarian kata Hardware forensic analysis involves the process of analyzing digital evidence derived from digital sources. The analysis is done to facilitate and prove either the device is used to commit crime, whether it contains evidence of a crime or is the target of a crime. Gambling machines serve as the main source by which illegal games are conducted. This paper presents a method for retrieving information from a seized gaming machine, along with an analysis of the interpreted information to prove that the gaming machine was used illegally. The proposed procedures for the gambling machine forensic process will be important for forensic investigators (e.g., the police or private investigators), as they will assist these individuals in the digital forensic evidence analysis necessary to produce evidence relevant to illegal gambling. Key words: digital forensic, forensic analysis, gambling machine, information retrieval method, interpretation, string search

Forensic Analysis of Telegram Desktop-based Applications using the National Institute of Justice (NIJ) Method

2020 ◽  
Vol 8 (4) ◽  
pp. 381
Author(s):  
I Gusti Ngurah Guna Wicaksana ◽  
I Ketut Gede Suhartana
Keyword(s):  
Instant Messaging ◽  
Personal Information ◽  
Forensic Analysis ◽  
Criminal Cases ◽  
Forensic Evidence ◽  
Digital Forensic ◽  
National Institute Of Justice ◽  
Evidence Analysis ◽  
The Media ◽  
Log File

Abstract The development of telecommunications has increased very rapidly since the internet-based instant messaging service has spread rapidly to Indonesia. Telegram application is one of the growing and well-known application services in Indonesia, Desktop or smartphone-based Telegram applications, it is very possible to use digital crimes by using services, user personal information, or by hacking the Telegram application. This study explains the stages of investigation of cybercrime cases that occurred in desktop-based telegram. The method used for this research refers to the stage of investigation that was carried out in previous studies, namely using the National Institute of Justice (NIJ) method with the stages of the preparation stage, the collection stage, the examination stage, the analysis stage, and the reporting stage. The media used in this study is a desktop-based Telegram application that is synchronized with an Android-based Telegram. In this process, the location of the log file, cache, and digital proof image file was obtained in the conversation of a desktop-based Telegram application. Digital forensic evidence obtained is expected to strengthen evidence of criminal cases in court in the form of digital evidence analysis results. Keywords: Telecommunications, Digital Forensic, Telegram, Investigation, Cybercrime

Forensic Data Extraction and Analysis of Left Artifacts on emulated Android Phones: A Case Study of Instant Messaging Applications

2017 ◽  
Vol 2 (11) ◽  
pp. 8-16
Author(s):  
Moses Ashawa ◽  
Innocent Ogwuche
Keyword(s):  
Mobile Phones ◽  
Instant Messaging ◽  
Data Extraction ◽  
Digital Evidence ◽  
Cyber Attack ◽  
Forensic Evidence ◽  
Digital Forensic ◽  
Proportional Increase ◽  
Forensic Tools

The fast-growing nature of instant messaging applications usage on Android mobile devices brought about a proportional increase on the number of cyber-attack vectors that could be perpetrated on them. Android mobile phones store significant amount of information in the various memory partitions when Instant Messaging (IM) applications (WhatsApp, Skype, and Facebook) are executed on them. As a result of the enormous crimes committed using instant messaging applications, and the amount of electronic based traces of evidence that can be retrieved from the suspect’s device where an investigation could convict or refute a person in the court of law and as such, mobile phones have become a vulnerable ground for digital evidence mining. This paper aims at using forensic tools to extract and analyse left artefacts digital evidence from IM applications on Android phones using android studio as the virtual machine. Digital forensic investigation methodology by Bill Nelson was applied during this research. Some of the key results obtained showed how digital forensic evidence such as call logs, contacts numbers, sent/retrieved messages, and images can be mined from simulated android phones when running these applications. These artefacts can be used in the court of law as evidence during cybercrime investigation.

scholarly journals Holistic Analytics of Digital Artifacts

2021 ◽  
Vol 13 (5) ◽  
pp. 78-100
Author(s):  
Ashok Kumar Mohan ◽  
Sethumadhavan Madathil ◽  
Lakshmy K. V.
Keyword(s):  
Digital Evidence ◽  
Forensic Investigation ◽  
Association Model ◽  
Digital Devices ◽  
Digital Forensic ◽  
Unique Mapping ◽  
Metadata Association ◽  
Almost All ◽  
Mapping Models ◽  
Unique Association

Investigation of every crime scene with digital evidence is predominantly required in identifying almost all atomic files behind the scenes that have been intentionally scrubbed out. Apart from the data generated across digital devices and the use of diverse technology that slows down the traditional digital forensic investigation strategies. Dynamically scrutinizing the concealed or sparse metadata matches from the less frequent archives of evidence spread across heterogeneous sources and finding their association with other artifacts across the collection is still a horrendous task for the investigators. The effort of this article via unique pockets (UP), unique groups (UG), and unique association (UA) model is to address the exclusive challenges mixed up in identifying incoherent associations that are buried well within the meager metadata field-value pairs. Both the existing similarity models and proposed unique mapping models are verified by the unique metadata association model.

Digital Forensic Investigation of Social Media, Acquisition and Analysis of Digital Evidence

2019 ◽  
Vol 2 (1) ◽  
pp. 52-60 ◽  
Author(s):  
Reza Montasari ◽  
Richard Hill ◽  
Victoria Carpenter ◽  
Farshad Montaseri
Keyword(s):  
Social Media ◽  
Social Interaction ◽  
Social Networking ◽  
Social Networking Sites ◽  
Instant Messaging ◽  
Digital Evidence ◽  
Forensic Investigation ◽  
Digital Forensic ◽  
Photo Sharing ◽  
Investigation Process

Various social networking sites (SNSs), widely referred to as social media, provide services such as email, blogging, instant messaging and photo sharing for social and commercial interactions. SNSs are facilitating new forms of social interaction, dialogue, exchange and collaboration. They allow millions of users and organisations worldwide to exchange ideas, post updates and comments or participate in activities and events, while sharing their wider interests. At the same time, such a phenomenon has led to an upsurge in significant criminal activities by perpetrators who are becoming increasingly sophisticated in their attempts to deploy technology to circumvent detection. Digital forensic Examiners (DFEs) often face serious challenges in relation to data acquisition. Therefore, this article aims to analyse the significance of SNSs in DFIs and challenges that DFEs often encounter when acquiring evidence from SNSs. Furthermore, this article describes the steps of the digital forensic investigation process that must be taken to acquire digital evidence that is both authentic and forensically sound.

scholarly journals Video-Based Evidence Analysis and Extraction in Digital Forensic Investigation

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 55432-55442 ◽  
Author(s):  
Jianyu Xiao ◽  
Shancang Li ◽  
Qingliang Xu
Keyword(s):  
Forensic Investigation ◽  
Digital Forensic ◽  
Evidence Analysis

Analisis Kelayakan Integrated Digital Forensics Investigation Framework Untuk Investigasi Smartphone

2016 ◽  
Vol 7 (4) ◽  
Author(s):  
Ruuhwan Ruuhwan ◽  
Imam Riadi ◽  
Yudi Prayudi
Keyword(s):  
Digital Forensics ◽  
Electronic Media ◽  
Digital Data ◽  
Digital Evidence ◽  
Forensic Investigation ◽  
Digital Forensic ◽  
Forensic Examination ◽  
Different Types ◽  
Valid Evidence

Abstract. The handling of digital evidence each and every digital data that can proof a determination that a crime has been committed; it may also give the links between a crime and its victims or crime and the culprit. How to verify a valid evidence is to investigate using the approach known as the Digital Forensic Examination Procedures. Integrated Digital Forensic Investigation Framework (IDFIF) is the latest developed method, so that it is interesting to further scrutinize IDFIF, particularly in the process of investigation of a smartphone. The current smartphone devices have similar functions with computers. Although its functions are almost the same as the computer, but there are some differences in the process of digital forensics handling between computer devices and smartphones. The digital evidence handling process stages need to overcome the circumstances that may be encountered by an investigator involving digital evidence particularly on electronic media and smartphone devices in the field. IDFIF needs to develop in such a way so it has the flexibility in handling different types of digital evidence.Keywords: digital evidence, IDFIF, investigation, smartphoneAbstraks. Penanganan bukti digital mencakup setiap dan semua data digital yang dapat menjadi bukti penetapan bahwa kejahatan telah dilakukan atau dapat memberikan link antara kejahatan dan korbannya atau kejahatan dan pelakunya. Cara pembuktian untuk mendapatkan bukti valid adalah dengan melakukaninvestigasi dengan pendekatan Prosedur Pemeriksaan Digital Forensic. Integrated Digital Forensics Investigation Framework (IDFIF) merupakan metode terbaru sehingga IDFIF ini menarik untuk diteliti lebih lanjut terutama dalam proses investigasi smartphone. Saat ini perangkat smartphone memiliki fungsi yang sama dengan komputer. Meskipun demikian, ada beberapa perbedaan dalam proses penanganan digital forensics diantara perangkat komputer dan smartphone. Tahapan proses penanganan barang bukti digital seharusnya dibuat untuk mengatasi keadaan umum yang mungkin dihadapi oleh investigator yangmelibatkan barang bukti digital terutama pada perangkat smartphone dan media elektronik terkait di lapangan. IDFIF perlu dikembangkan sehingga memiliki fleksibilitas dalam menangani berbagai jenis barang bukti digital.Kata Kunci: bukti digital, IDFIF, investigasi, smartphone

scholarly journals Pertimbangan Hakim Atas Penghadiran Bukti Digital Forensik dalam Perkara Kejahatan Fraud

Wajah Hukum ◽  
2021 ◽  
Vol 5 (2) ◽  
pp. 448
Author(s):  
Wahdah Prasetya ◽  
Puti Priyana
Keyword(s):  
Digital Evidence ◽  
Forensic Evidence ◽  
Electronic Information ◽  
Electronic Documents ◽  
Legal Norms ◽  
Legal Evidence ◽  
Criminal Sanctions ◽  
Digital Forensic ◽  
Electronic Transactions ◽  
Article 5

The problems in this research are regulate digital forensic law in proving crime in Indonesia, judges consider the presence of digital forensic evidence in fraud crime. This research uses normative juridical approach, by examining and interpreting matters relating theoretical principles, conceptions, doctrines and legal norms relating to the presence of forensic digital evidence. The result showed that digital Forensic Arrangements in analyzing digital evidence in terms of proving criminal acts are not specifically regulated in the Criminal Procedure Code (KUHAP) because exceptions to electronic / digital evidence are regulated in the Information and Electronic Transaction (ITE) Act so that can be a legal basis for digital forensics. Law No. 11 of 2008 on Information and Electronic Transactions on Article 5 has been clearly stated that electronic information is a valid legal evidence in the form of electronic information and / or electronic documents and / or printout. The rise of data fraud requires a legal arrangement that is expected to be able to prevent and reduce these crimes. For this reason, it is important to elaborate legal arrangements for both implementation and criminal sanctions related to data fraud in Indonesia.

scholarly journals A Survey on Digital Forensic Investigation Practitioners Approach and Challenges

2021 ◽  
Vol 9 (VI) ◽  
pp. 2733-2736
Author(s):  
Prof. Sachin Babulal Jadhav
Keyword(s):  
Data Collection ◽  
Digital Forensics ◽  
Electronic Devices ◽  
Digital Evidence ◽  
Cyber Crime ◽  
Forensic Investigation ◽  
Digital Forensic ◽  
Digital Crime ◽  
Entire World ◽  
Investigation Process

Digital crimes are taking place over the entire world. For any digital crime which commit at any part of world, computer or any electronic devices are used. The devices which are used to commit the crime are useful evidences which must be identified and protected for further use. The crimes involving electronic devices are called as cyber-crime. To investigate such crimes, a scientific procedures needs to be followed. The data collection, analysis, preservation and presentation of digital evidence is must in order investigate the cybercrime. This paper highlights the practices that are used worldwide in the investigation process of cyber-crime. Keywords: Digital Forensics, Analysis, Investigation, models of investigation.

scholarly journals PAZIIM DIGITAL EVIDENCE ANALYSIS APPLICATION ON ANDROID SMARTPHONES WITH A LOGICAL ACQUISITION APPROACH

2019 ◽  
Vol 2 (2) ◽  
pp. 52-56
Author(s):  
Dedy Hariyadi ◽  
Hendro Wijayanto ◽  
Indah Daila Sari
Keyword(s):  
Social Media ◽  
Online Social Networks ◽  
Personal Data ◽  
Forensic Analysis ◽  
Digital Evidence ◽  
Private Data ◽  
Evidence Analysis ◽  
Analysis Application ◽  
Use Of Social Media ◽  
Media Applications

The use of social media in Indonesia has increased very rapidly in 2018 compared to the previous year. This makes a lot of social media made by the children of the nation appear, one of which is Paziim. Socializing on the internet is very easy to leak personal data. There are three aspects that can be utilized on online social networks (OSN) in the disclosure of private data to the public, namely the strength of the relationship (strong or weak), the type of relationship and the characteristics of one's habits. Mobile forensics is needed to analyze digital evidence on social media applications installed on Android smartphones. Indonesia through the National Standardization Agency (BSN) also issued standards related to digital forensics. Standards which are derived from ISO / IEC regulate Security Techniques - Guidelines for the Identification, Collection, Acquisition and Preservation of Digital Evidence. This standardization is known as SNI ISO / IEC 27037: 2014. From the results of cell phone forensic analysis on the Paziim application, the results found the username, coordinates, device models, and operators used by users in SQLite Web_Data and OneSignal.xml files

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