scholarly journals Forensic investigation of cyberstalking cases using Behavioural Evidence Analysis

2016 ◽  
Vol 16 ◽  
pp. S96-S103 ◽  
Author(s):  
Noora Al Mutawa ◽  
Joanne Bryce ◽  
Virginia N.L. Franqueira ◽  
Andrew Marrington
IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 55432-55442 ◽  
Author(s):  
Jianyu Xiao ◽  
Shancang Li ◽  
Qingliang Xu

2012 ◽  
Author(s):  
Pritheega Magalingam ◽  
Azizah Abdul Manaf ◽  
Zuraimi Yahya ◽  
Rabiah Ahmad

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


2021 ◽  
Vol 13 (5) ◽  
pp. 20-42
Author(s):  
Barkha Shree ◽  
Parneeta Dhaliwal

Recent developments in digital forensics (DF) have emphasized that along with inspection of digital evidence, the study of behavioural clues based on behavioural evidence analysis (BEA) is vital for accurate and complete criminal investigation. This paper reviews the existing BEA approaches and process models and concludes the lack of standardisation in the BEA process. The research comprehends that existing BEA methodologies are restricted to specific characteristics of the forensic domain in question. To address these limitations, the paper proposes a standardised approach detailing the step-by-step implementation of BEA in the DF process. The proposed model presents a homogenous technique that can be practically applied to real-life cases. This standard BEA framework classifies digital evidence into categories to decipher associated offender characteristics. Unlike existing models, this new approach collects evidence from diverse sources and leaves no aspect unattended while probing criminal behavioural cues, thus facilitating its applicability across varied forensic domains.


2019 ◽  
Vol 28 ◽  
pp. 70-82 ◽  
Author(s):  
Noora Al Mutawa ◽  
Joanne Bryce ◽  
Virginia N.L. Franqueira ◽  
Andrew Marrington ◽  
Janet C. Read

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