Detector Dogs As Forensic Tools

2015 ◽  
pp. 169-186
Keyword(s):  
Forensic Tools

APPLICATION FEATURES OF TECHNICAL AND FORENSIC TOOLS BY AN INVESTIGATOR (THE INTERROGATOR) DURING INTERROGATION IN THE PRETRIAL DETENTION CENTER

2020 ◽  
pp. 48-53
Author(s):  
Роман Михайлович Морозов ◽  
Дмитрий Юрьевич Волков
Keyword(s):  
Law Enforcement ◽  
Criminal Law ◽  
Scientific Literature ◽  
Preliminary Investigation ◽  
Preventive Measure ◽  
Criminal Procedure ◽  
Evidence Based ◽  
Detention Center ◽  
Pretrial Detention ◽  
Forensic Tools

Целью статьи было рассмотреть проблемные аспекты тактико-криминалистического применения технических средств при производстве допроса, предложить научно обоснованные рекомендации по их использованию. В статье раскрываются особенности применения технико-криминалистических средств процессуально уполномоченными должностными лицами органов предварительного следствия и дознания при производстве допроса подозреваемых (обвиняемых), в отношении которых избрана мера пресечения в виде заключения под стражу. По результатам проведенных исследований правоприменительной практики и научной литературы авторами раскрываются процессуальные и тактические основания и порядок применения технических средств при производстве допроса на отдельных его этапах, предлагаются решения проблем, связанных с применением технико-криминалистических средств, даются рекомендации по порядку применения отдельных технических средств. Выделяются наиболее целесообразные тактические приемы допроса при применении технических средств фиксации. Авторами предложены изменения в уголовно-процессуальное законодательство по совершенствованию законодательных норм в области применения технических средств при производстве следственных действий. Сформулированные в статье выводы могут быть использованы в правоприменительной практике следователями (дознавателями) при производстве допроса в следственном изоляторе, а также при преподавании отдельных дисциплин: «Уголовный процесс», «Криминалистика», а также специальных курсов (по выбору) уголовно-правового профиля. The purpose of the article was to consider the problematic aspects of the tactical and forensic use of technical means during the interrogation, to offer evidence-based recommendations for their use. The article reveals the features of the use of technical and forensic means by the procedurally authorized officials of the preliminary investigation and inquiry bodies during the interrogation of suspects (accused), in respect of which a preventive measure in the form of detention has been chosen. According to the results of the research of law enforcement practice and scientific literature, the authors reveal the procedural and tactical grounds and the procedure for the use of technical means during the interrogation at its individual stages, offers solutions to problems associated with the use of technical and forensic means, gives some recommendations on the order of application of individual technical means. The most appropriate tactics of interrogation, the use of technical facilities of fixation. The authors propose changes to the criminal procedure legislation to improve the legislative norms in the field of application of technical means in the investigative actions realization. The conclusions formulated in the article can be used in law enforcement practice by investigators (inquirers) during the interrogation in the pretrial detention center, as well as in the teaching of certain disciplines: «Criminal procedure», «Criminalistics», as well as special courses (optional) of criminal law profile.

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 UAV Forensics: DJI Mini 2 Case Study

Drones ◽  
2021 ◽  
Vol 5 (2) ◽  
pp. 49
Author(s):  
Miloš Stanković ◽  
Mohammad Meraj Mirza ◽  
Umit Karabiyik
Keyword(s):  
Law Enforcement ◽  
Federal Aviation Administration ◽  
Easy Access ◽  
Law Enforcement Agencies ◽  
The Past ◽  
Personally Identifiable Information ◽  
Multiple Devices ◽  
Forensic Tools ◽  
Recreational Use

Rapid technology advancements, especially in the past decade, have allowed off-the-shelf unmanned aerial vehicles (UAVs) that weigh less than 250 g to become available for recreational use by the general population. Many well-known manufacturers (e.g., DJI) are now focusing on this segment of UAVs, and the new DJI Mini 2 drone is one of many that falls under this category, which enables easy access to be purchased and used without any Part 107 certification and Remote ID registration. The versatility of drones and drone models is appealing for customers, but they pose many challenges to forensic tools and digital forensics investigators due to numerous hardware and software variations. In addition, different devices can be associated and used for controlling these drones (e.g., Android and iOS smartphones). Moreover, according to the Federal Aviation Administration (FAA), the adoption of Remote ID is not going to be required for people without the 107 certifications for this segment at least until 2023, which creates finding personally identifiable information a necessity in these types of investigations. In this research, we conducted a comprehensive investigation of DJI Mini 2 and its data stored across multiple devices (e.g., SD cards and mobile devices) that are associated with the drone. The aim of this paper is to (1) create several criminal-like scenarios, (2) acquire and analyze the created scenarios using leading forensics software (e.g., Cellebrite and Magnet Axiom) that are commonly used by law enforcement agencies, (3) and present findings associated with potential criminal activities.

scholarly journals A Dataset of Photos and Videos for Digital Forensics Analysis Using Machine Learning Processing

Data ◽  
2021 ◽  
Vol 6 (8) ◽  
pp. 87
Author(s):  
Sara Ferreira ◽  
Mário Antunes ◽  
Manuel E. Correia
Keyword(s):  
Machine Learning ◽  
Digital Forensics ◽  
State Of The Art ◽  
Forensic Analysis ◽  
Third Party ◽  
Support Vector ◽  
Multimedia Content ◽  
Digital Forensic ◽  
Video Frames ◽  
Forensic Tools

Deepfake and manipulated digital photos and videos are being increasingly used in a myriad of cybercrimes. Ransomware, the dissemination of fake news, and digital kidnapping-related crimes are the most recurrent, in which tampered multimedia content has been the primordial disseminating vehicle. Digital forensic analysis tools are being widely used by criminal investigations to automate the identification of digital evidence in seized electronic equipment. The number of files to be processed and the complexity of the crimes under analysis have highlighted the need to employ efficient digital forensics techniques grounded on state-of-the-art technologies. Machine Learning (ML) researchers have been challenged to apply techniques and methods to improve the automatic detection of manipulated multimedia content. However, the implementation of such methods have not yet been massively incorporated into digital forensic tools, mostly due to the lack of realistic and well-structured datasets of photos and videos. The diversity and richness of the datasets are crucial to benchmark the ML models and to evaluate their appropriateness to be applied in real-world digital forensics applications. An example is the development of third-party modules for the widely used Autopsy digital forensic application. This paper presents a dataset obtained by extracting a set of simple features from genuine and manipulated photos and videos, which are part of state-of-the-art existing datasets. The resulting dataset is balanced, and each entry comprises a label and a vector of numeric values corresponding to the features extracted through a Discrete Fourier Transform (DFT). The dataset is available in a GitHub repository, and the total amount of photos and video frames is 40,588 and 12,400, respectively. The dataset was validated and benchmarked with deep learning Convolutional Neural Networks (CNN) and Support Vector Machines (SVM) methods; however, a plethora of other existing ones can be applied. Generically, the results show a better F1-score for CNN when comparing with SVM, both for photos and videos processing. CNN achieved an F1-score of 0.9968 and 0.8415 for photos and videos, respectively. Regarding SVM, the results obtained with 5-fold cross-validation are 0.9953 and 0.7955, respectively, for photos and videos processing. A set of methods written in Python is available for the researchers, namely to preprocess and extract the features from the original photos and videos files and to build the training and testing sets. Additional methods are also available to convert the original PKL files into CSV and TXT, which gives more flexibility for the ML researchers to use the dataset on existing ML frameworks and tools.

scholarly journals Microbial imprints as forensic tools in food production

2002 ◽  
Vol 4 (1) ◽  
pp. 16-17 ◽  
Author(s):  
B. F. Smets ◽  
W. H. Verstraete ◽  
S. D. Siciliano
Keyword(s):  
Food Production ◽  
Forensic Tools

Cold cases from the past, modern forensic tools and police Cold Case Units, or crimen grave non potest esse impunibile – part II

2018 ◽  
Vol 299 ◽  
pp. 61-71
Author(s):  
Magdalena Zubańska ◽  
◽  
Przemysław Knut ◽  
Keyword(s):  
The Past ◽  
Innovative Solutions ◽  
Forensic Tools ◽  
Cold Case

The article addresses the issues relating to the operations of the police Cold Case Units as well as the role of modern forensic tools in solving cases that were dismissed at the pre-trial stage, due to a failure to detect the perpetrators. The second part of the article describes selected methods and tools used at different stages of the X-Files investigations. The innovative solutions described are classified according to the place and purpose of application. Exemplary cases which have been solved with the use of innovative technological solutions are indicated.

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