Virtual sensor forensics

Kebande, Victor R.; Ikuesan, Richard Adeyemi

doi:10.1145/3415088.3415117

Cited by 6 publications

(3 citation statements)

References 17 publications

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“…On the other hand, several models and frameworks have been proposed in the literature for drone and digital forensics to solve the challenges and issues of drone forensics [73][74][75][76][77][78][79][80][81][82].…”

Section: Machine Learning Techniques Used In the Drone Forensics Fieldmentioning

confidence: 99%

A Comprehensive Collection and Analysis Model for the Drone Forensics Field

Alotaibi

Al-Dhaqm

Al‐Otaibi

et al. 2022

Sensors

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Unmanned aerial vehicles (UAVs) are adaptable and rapid mobile boards that can be applied to several purposes, especially in smart cities. These involve traffic observation, environmental monitoring, and public safety. The need to realize effective drone forensic processes has mainly been reinforced by drone-based evidence. Drone-based evidence collection and preservation entails accumulating and collecting digital evidence from the drone of the victim for subsequent analysis and presentation. Digital evidence must, however, be collected and analyzed in a forensically sound manner using the appropriate collection and analysis methodologies and tools to preserve the integrity of the evidence. For this purpose, various collection and analysis models have been proposed for drone forensics based on the existing literature; several models are inclined towards specific scenarios and drone systems. As a result, the literature lacks a suitable and standardized drone-based collection and analysis model devoid of commonalities, which can solve future problems that may arise in the drone forensics field. Therefore, this paper has three contributions: (a) studies the machine learning existing in the literature in the context of handling drone data to discover criminal actions, (b) highlights the existing forensic models proposed for drone forensics, and (c) proposes a novel comprehensive collection and analysis forensic model (CCAFM) applicable to the drone forensics field using the design science research approach. The proposed CCAFM consists of three main processes: (1) acquisition and preservation, (2) reconstruction and analysis, and (3) post-investigation process. CCAFM contextually leverages the initially proposed models herein incorporated in this study. CCAFM allows digital forensic investigators to collect, protect, rebuild, and examine volatile and nonvolatile items from the suspected drone based on scientific forensic techniques. Therefore, it enables sharing of knowledge on drone forensic investigation among practitioners working in the forensics domain.

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Section: Machine Learning Techniques Used In the Drone Forensics Fieldmentioning

confidence: 99%

A Comprehensive Collection and Analysis Model for the Drone Forensics Field

Alotaibi

Al-Dhaqm

Al‐Otaibi

et al. 2022

Sensors

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“…Cyberattacks damage software, hardware, and data. As part of its threat classification system, Microsoft designed STRIDE [25].…”

Section: Introductionmentioning

confidence: 99%

Developing an Abstraction Framework for Managing and Controlling Saudi Banks’ Cybersecurity Threats Based on the NIST Cybersecurity Framework and ISO/IEC 27001

Alraddadi

2023

JSEA

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Saudi Arabian banks are deeply concerned about how to effectively monitor and control security threats. In recent years, the country has taken several steps towards restructuring its organizational security and, consequently, protecting financial institutions and their clients. However, there are still several challenges left to be addressed. Accordingly, this article aims to address this problem by proposing an abstract framework based on the National Institute of Standards and Technology (NIST) Cybersecurity Framework and International Organization for Standardization/International Electrotechnical Commission (ISO/IEC 27001). The framework proposed in this paper considers the following factors involved in the security policy of Saudi banks: safety, Saudi information bank, operations and security of Saudi banks, Saudi banks' supplier relationships, risk assessment, risk mitigation, monitoring and detection, incident response, Saudi banks' business continuity, compliance, education, and awareness about all factors contributing to the framework implementation. This way, the proposed framework provides a comprehensive, unified approach to managing bank security threats. Not only does the proposed framework provide effective guidance on how to identify, assess, and mitigate security threats, but it also instructs how to develop policy and procedure documents relating to security issues.

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“…Therefore, a solid understanding of drone laws and regulations and their consequences based on acquired evidence is fundamental. Investigating a drone incident is an essential task for law enforcement, government, and security personnel [20][21][22][23]. Through the integration of cutting-edge technology and indepth legal knowledge, DRF can help investigators discover, investigate, and prosecute drone-related incidents.…”

Section: Introductionmentioning

confidence: 99%

A Conceptual Digital Forensic Investigation Model Applicable to the Drone Forensics Field

Alotaibi,

Al-Dhaqm,

Al-Otaibi

2023

Eng. Technol. Appl. Sci. Res.

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Although there is a considerable amount of studies in drone forensics that describe numerous practical and technical perspectives, there is a lack of a comprehensive investigation framework. This study used design science research methodology to design a conceptual model for the comprehensive investigation of Unmanned Aerial Vehicles (UAVs) under forensic conditions. This model can identify, capture, preserve, analyze, and document UAV incidents. The proposed model consists of four stages: preparation, data collection, analysis, and documentation. In the preparation stage, data are collected and analyzed about UAV-related resources, including the origin and model of the aircraft, any software or hardware installed onboard, and the legal framework and regulations in place. The data collection stage involves the completion of the collection process, where participants gather parts of the UAV and the data needed, such as the flight controller, flight log, and memory cards. The analysis stage involves analyzing the collected evidence. Lastly, the documentation stage involves documenting relevant evidence, analysis results, and any conclusions derived. This model provides a comprehensive process to forensically investigate UAV incidents and provides an efficient and effective approach to the analysis of UAV evidence, ensuring that evidence was collected and analyzed according to accepted forensic techniques. The proposed model can be applied to any UAV type and legal framework.

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Virtual sensor forensics

Cited by 6 publications

References 17 publications

A Comprehensive Collection and Analysis Model for the Drone Forensics Field

A Comprehensive Collection and Analysis Model for the Drone Forensics Field

Developing an Abstraction Framework for Managing and Controlling Saudi Banks’ Cybersecurity Threats Based on the NIST Cybersecurity Framework and ISO/IEC 27001

A Conceptual Digital Forensic Investigation Model Applicable to the Drone Forensics Field

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