Blockchain Enabled Intelligent Digital Forensics System for Autonomous Connected Vehicles

Tyagi, Ranu; Sharma, Sachin; Mohan, Seshadri

doi:10.1109/ic3iot53935.2022.9767987

Cited by 25 publications

(4 citation statements)

References 13 publications

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“…Refs. [11,[33][34][35][36][37][38][39][40][41][42][43][44][44][45][46][47][48][49][50] presented blockchain-based solutions for specialized forensic systems, such as vehicular digital forensics, medical forensics, IoT digital forensics, and multimedia investigations. This research demonstrates how blockchain can safeguard data integrity, maintain anonymity, provide efficient evidence tracking, and ensure the secure exchange of investigation details among various stakeholders.…”

Section: Specialized Forensic Systems and Applicationsmentioning

confidence: 99%

ForensicTransMonitor: A Comprehensive Blockchain Approach to Reinvent Digital Forensics and Evidence Management

Alqahtany,

Syed

2024

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In the domain of computer forensics, ensuring the integrity of operations like preservation, acquisition, analysis, and documentation is critical. Discrepancies in these processes can compromise evidence and lead to potential miscarriages of justice. To address this, we developed a generic methodology integrating each forensic transaction into an immutable blockchain entry, establishing transparency and authenticity from data preservation to final reporting. Our framework was designed to manage a wide range of forensic applications across different domains, including technology-focused areas such as the Internet of Things (IoT) and cloud computing, as well as sector-specific fields like healthcare. Centralizing our approach are smart contracts that seamlessly connect forensic applications to the blockchain via specialized APIs. Every action within the forensic process triggers a verifiable transaction on the blockchain, enabling a comprehensive and tamper-proof case presentation in court. Performance evaluations confirmed that our system operates with minimal overhead, ensuring that the integration bolsters the judicial process without hindering forensic investigations.

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Section: Specialized Forensic Systems and Applicationsmentioning

confidence: 99%

ForensicTransMonitor: A Comprehensive Blockchain Approach to Reinvent Digital Forensics and Evidence Management

Alqahtany,

Syed

2024

Information

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“…These stored images could then be valuable evidence in future investigations. Tyagi et al [ 135 ] proposed an AI-enabled blockchain solution that was implemented on a local Ethereum blockchain platform as a proof of concept for intelligent digital forensics for automated connected vehicles (ACVs) in smart cities. Short random signatures could be used to anonymously authenticate witness identities, privacy, and trust.…”

Section: Cyber Forensics In Smart Citiesmentioning

confidence: 99%

“…Feng et al [132] 2017 Digital forensics models for autonomous vehicle cases Hossain et al [133] 2017 Trusting the IoV to collect and store evidence from distributed infrastructure Zhang et al [134] 2022 An incentive lightweight authentication scheme for forensics services in the IoV Tyagi et al [135] 2022 Using local Ethereum blockchain to collect evidence from connected vehicles…”

Section: Categorymentioning

confidence: 99%

Cybersecurity and Cyber Forensics for Smart Cities: A Comprehensive Literature Review and Survey

Kim

Alshenaifi

Ramachandran

et al. 2023

Sensors

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Smart technologies, such as the Internet of Things (IoT), cloud computing, and artificial intelligence (AI), are being adopted in cities and transforming them into smart cities. In smart cities, various network technologies, such as the Internet and IoT, are combined to exchange real-time information, making the everyday lives of their residents more convenient. However, there is a lack of systematic research on cybersecurity and cyber forensics in smart cities. This paper presents a comprehensive review and survey of cybersecurity and cyber forensics for smart cities. We analysed 154 papers that were published from 2015 to 2022 and proposed a new framework based on a decade of related research papers. We identified four major areas and eleven sub-areas for smart cities. We found that smart homes and the IoT were the most active research areas within the cybersecurity field. Additionally, we found that research on cyber forensics for smart cities was relatively limited compared to that on cybersecurity. Since 2020, there have been many studies on the IoT (which is a technological component of smart cities) that have utilized machine learning and deep learning. Due to the transmission of large-scale data through IoT devices in smart cities, ML and DL are expected to continue playing critical roles in smart city research.

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“…In the work presented by [47], the emphasis lies on enhancing cybersecurity measures for AVs, culminating in the proposition of tracking systems designed to document vehicular actions meticulously. On a parallel trajectory, the study conducted by [48] set its sights on safeguarding the identities and privacy of individuals who witness accidents, focusing on introducing what they termed as randomizable signatures. The concept introduced by [49] took a collaborative approach, suggesting that AVs could acquire knowledge from the collective experiences of their counterparts by interfacing with a publicly accessible ledger.…”

Section: Blockchain Solutions For Avsmentioning

confidence: 99%

Enhancing Security and Accountability in Autonomous Vehicles through Robust Speaker Identification and Blockchain-Based Event Recording

Njoku,

Nwakanma,

Lee

et al. 2023

Electronics

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As the deployment of Autonomous Vehicles (AVs) gains momentum, ensuring both security and accountability becomes paramount. This paper proposes a comprehensive approach to address these concerns. With the increasing importance of speaker identification, our first contribution lies in implementing a robust mechanism for identifying authorized users within AVs, enhancing security. To counter the threat of voice spoofing, an ensemble-based approach leveraging speaker verification techniques is presented, ensuring the authenticity of user commands. Furthermore, in scenarios of accidents involving AVs, the need for accurate accountability and liability allocation arises. To address this, we introduce a novel application of blockchain technology, enabling an event recording system that ensures transparent and tamper-proof records. The proposed system enhances AV security and establishes a framework for reliable accident investigation using speakers’ records. In addition, this paper presents an innovative concept where vehicles act as impartial judges during accidents, utilizing location-based identification. Results show the viability of the proposed solution for accident investigation and analysis.

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Blockchain Enabled Intelligent Digital Forensics System for Autonomous Connected Vehicles

Cited by 25 publications

References 13 publications

ForensicTransMonitor: A Comprehensive Blockchain Approach to Reinvent Digital Forensics and Evidence Management

ForensicTransMonitor: A Comprehensive Blockchain Approach to Reinvent Digital Forensics and Evidence Management

Cybersecurity and Cyber Forensics for Smart Cities: A Comprehensive Literature Review and Survey

Enhancing Security and Accountability in Autonomous Vehicles through Robust Speaker Identification and Blockchain-Based Event Recording

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