IoT forensics: Exploiting unexplored log records from the HIKVISION file system

Dragonas, Evangelos; Lambrinoudakis, Costas; Kotsis, Michael

doi:10.1111/1556-4029.15349

Cited by 3 publications

(2 citation statements)

References 8 publications

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“…The authors developed an algorithm for carving video footage from this file system. More recently, Dragonas et al [11] studied the log records stored by HIKVISION CCTV systems. They focused on the recovery and interpretation of this source evidence and developed a Python tool to automate its analysis and assist with its investigation.…”

Section: Rel Ated Workmentioning

confidence: 99%

IoT forensics: Exploiting log records from the DAHUA technology CCTV systems

Dragonas,

Lambrinoudakis,

Kotsis

2023

Journal of Forensic Sciences

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CCTV surveillance systems are ubiquitous IoT appliances. Their forensic examination has proven critical for investigating crimes. DAHUA Technology is a well‐known manufacturer of such products. Despite its global market share, research regarding digital forensics of DAHUA Technology CCTV systems is scarce and currently limited to extracting their video footage, overlooking the potential presence of valuable artifacts within their log records. These pieces of evidence remain unexploited by major commercial forensic software, yet they can hide vital information for an investigation. For instance, these log records document user actions, such as formatting the CCTV system's hard drive or disabling camera recording. This information can assist in attributing nefarious actions to specific users and hence can be invaluable for understanding the sequence of events related to incidents. Therefore, in this paper, several DAHUA Technology CCTV systems are thoroughly analyzed for these unexplored pieces of evidence, and their forensic value is presented.

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Section: Rel Ated Workmentioning

confidence: 99%

IoT forensics: Exploiting log records from the DAHUA technology CCTV systems

Dragonas,

Lambrinoudakis,

Kotsis

2023

Journal of Forensic Sciences

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“…Facing extensive data, traditional audit departments find it is difficult to extract and analyze them. With this regard, the information-based audit based on computer technology is used by enterprises, institutions, and national institutions, and the relevant cost is significantly reduced [3]. But it also brings some risks, such as accounting information distortion and economic crime.…”

Section: Introductionmentioning

confidence: 99%

The Computer Audit for Health Affordable Housing Based on Data Mining

Li,

Yan,

Cheng

et al. 2024

Advances in Transdisciplinary Engineering

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The study aims to improve the accuracy rate of data classification under computer audit. An appropriate data mining (DM) algorithm is employed to classify affordable housing data. First, the research status of the DM algorithm and affordable housing audits is introduced, and the process of computer audit is described. Second, after analyzing the advantages and disadvantages of well-known DM algorithms, a decision tree (DT) is constructed using C4.5. In the end, C4.5 is enhanced by the interest and simplified by the Taylor series. According to the findings, the naive Bayes tree (NBTree), the classification and regression tree (CART), and C4.5 have average accuracy rates of 85.4%, 85.7%, and 85.6%, respectively. This shows that C4.5 and NBTree have an excellent effect on classifying the sample set. CART and C4.5 have a faster modeling speed, and their classification accuracy on huge data sets is better than that of NBTree. Therefore, it can be concluded that C4.5 and CART have good scalability; C4.5 has the best performance, and its ratio of rules to leaf points is higher than that of the other two algorithms; compared to the original C4.5, the enhanced C4.5 has a greater accuracy rate and a rule-to-leaf node ratio, but their modeling time is the same; the simplified C4.5 has the best performance, its classification accuracy rate is 98.7%, its modeling time is 0, and its interpretability is 1.9. This study provides a reference for the information development of affordable housing audits.

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Cybersecurity and Forensic Analysis of IP-Cameras Used in Saudi Arabia

Kim,

M. Alshenaif,

A. Alharbi

et al. 2024

JISCR

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In smart city infrastructure, IP cameras play a pivotal role in crime prevention and detection. However, not much research has been conducted on IP cameras from a cybersecurity and forensics perspective. In this study, we investigate vulnerability assessment and forensic artifacts for Hanwha and Mobotix IP cameras, which are widely used in Saudi Arabia. Saudi Arabia is using IP cameras which are essential for its smart cities. In this paper, we examine IP cameras in two directions. The first is to assess the vulnerability of IP cameras through various attack scenarios such as denial of service (DoS), brute force, and unauthorized access, and we suggest countermeasures. The second shows how analysis for IP cameras can be used to investigate logs for cyberattacks. Through this study, we expect to contribute to research on cyber-attack and forensic perspectives on IP cameras to be used in smart cities.

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IoT forensics: Exploiting unexplored log records from the HIKVISION file system

Cited by 3 publications

References 8 publications

IoT forensics: Exploiting log records from the DAHUA technology CCTV systems

IoT forensics: Exploiting log records from the DAHUA technology CCTV systems

The Computer Audit for Health Affordable Housing Based on Data Mining

Cybersecurity and Forensic Analysis of IP-Cameras Used in Saudi Arabia

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