Data Recovery from Proprietary Formatted Cctv Hard Disks

Ariffin, A.; Slay, Jill; Choo, Kim‐Kwang Raymond

doi:10.1007/978-3-642-41148-9_15

Cited by 8 publications

(7 citation statements)

References 2 publications

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“…Digital forensics, including multimedia forensics, is an increasingly important research focus due to the digitalization of our society [1,9,16]. This is also evidenced by the work of Yang et al [21], and Azfar et al [3] in this special issue.…”

Section: Forensicsmentioning

confidence: 82%

Guest Editorial: Multimedia Social Network Security and Applications

Zhang

Choo

2016

Multimed Tools Appl

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In the increasingly inter-connected society, multimedia social networks (MSN) have become a 'mainstream' tool used by online users to connect and share contents with other users 24/7 in real-time. It is, therefore, unsurprising that MSNs have become a salient area of inquiry by computer scientists and computer security researchers. For example, researchers need to design intelligent computing and soft computing technologies to improve multimedia system functions, efficiency and performance, as well as improving user's sharing experiences (e.g. using recommendation systems and more effective algorithms). Ensuring the security of users and data are also an ongoing topic of interest and importance due to the ease in producing and sharing user and multimedia content using MSNs. In recent years, we have seen advances in multimedia system security and soft computing for MSN applications, such as Bhard^security mechanisms (e.g. protocols and methodologies) and Bsoft^computing methods (e.g. machine learning and rough set), as well as research efforts in trust assessment, risk management and social factors to understand the trade-off between the effectiveness and security in MSNs.This special issue is dedicated to the reporting of state-of-the-art and recent advancements in this emerging area of enquiry. We received 26 submissions for this special issue, of which 12 were accepted for publication (i.e. 46 % acceptance rate). Each paper went through a rigorous peer review process, in addition to multiple follow-up rounds with the authors. A summary of the papers is categorized and presented below.

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Section: Forensicsmentioning

confidence: 82%

Guest Editorial: Multimedia Social Network Security and Applications

Zhang

Choo

2016

Multimed Tools Appl

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“…Ariffin et al [7] presented a technique that enabled digital forensic practitioners to carve video footage with timestamps without relying on the underlying file system. In their study, they used a RapidOS native viewer which assisted in validating their findings.…”

Section: Rel Ated Workmentioning

confidence: 99%

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

Dragonas

Lambrinoudakis

Kotsis

2023

Journal of Forensic Sciences

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CCTV surveillance systems are IoT products that can be found almost everywhere. Their digital forensic analysis often plays a key role in solving crimes. However, it is common for these devices to use proprietary file systems, which frequently hinders a complete examination. HIKVISION is a well‐known manufacturer of such devices that typically ships its products with its proprietary file system. The HIKVISION file system has been analyzed before but that research has focused on the recovery of video footage. In this paper, the HIKVISION file system is being revisited regarding the log records it stores. More specifically, these log records are thoroughly examined to uncover both their structure and meaning. These unexplored pieces of evidence remain unexploited by major commercial forensic software, yet they can contain critical information for an investigation. To further assist digital forensic examiners with their analysis, a Python utility, namely the Hikvision Log Analyzer, was developed as part of this study that can automate part of the process.

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“…This study highlighted the importance for manufacturers to include forensic readiness as an integral part of their CCTV systems. Ariffin et al [4] demonstrated a method that enabled forensic analysts to recover video footage with timestamps without relying on the underlying file system. In their work, they utilized a RapidOS native application to validate their findings.…”

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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Data Recovery from Proprietary Formatted Cctv Hard Disks

Cited by 8 publications

References 2 publications

Guest Editorial: Multimedia Social Network Security and Applications

Guest Editorial: Multimedia Social Network Security and Applications

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

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

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