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Figure 1 Literature of digital forensic investigation process (see online version for colours) Grobauer et al. (2011) investigate the vulnerabilities that the cloud network possesses. The three areas of innovation, cloud, and security controls are where and e-system categorises the most critical risks as existing. With an emphasis on the SaaS model, Subashini and Kavitha (2011) look at the security concerns connected to various cloud service delivery methods. Teing et al. (2018) had success using the user endpoint system to recover crucial forensic evidence pertaining to the CloudMe storage service. The authors collected a wide range of information from a personal desktop PC, Ubuntu, or macOS§, such as the cache database, which housed the audience and synchronised data folder, the operating system registry, log files, software directories, and web objects, visited URL and folder information, and metadata in the machine’s physical memory. The authors discovered user IDs, details about files and folders (including their sizes, contents, and metadata), Web cache information, operating system, and a download directory on Android and iOS mobile devices. Hong et al. (2013) conducted a study of law enforcement officers who were involved in the on-site search and seizure of digital evidence and proposed an unique triage model that matches to the needs of selection and seizure of electronic evidence. This methodology was created to address the demands of The most well-known challenges with cloud and edge computer in the field of computer investigations are covered during this review process. The evaluation is crucial in a number of crucial ways since it clarifies the shortcomings and restrictions of the several ideas that have been put forth. There are still certain research gaps that need to be filled in relation to other concepts for further investigation and application. The stages that are used the most frequently in a digital theoretical model have been chosen for this study, claim the authors of Chen et al. (2019). Chen et al. (2019) utilised this model. Figure 1 shows information from Casey (2011).

Figure 1 Literature of digital forensic investigation process (see online version for colours) Grobauer et al. (2011) investigate the vulnerabilities that the cloud network possesses. The three areas of innovation, cloud, and security controls are where and e-system categorises the most critical risks as existing. With an emphasis on the SaaS model, Subashini and Kavitha (2011) look at the security concerns connected to various cloud service delivery methods. Teing et al. (2018) had success using the user endpoint system to recover crucial forensic evidence pertaining to the CloudMe storage service. The authors collected a wide range of information from a personal desktop PC, Ubuntu, or macOS§, such as the cache database, which housed the audience and synchronised data folder, the operating system registry, log files, software directories, and web objects, visited URL and folder information, and metadata in the machine’s physical memory. The authors discovered user IDs, details about files and folders (including their sizes, contents, and metadata), Web cache information, operating system, and a download directory on Android and iOS mobile devices. Hong et al. (2013) conducted a study of law enforcement officers who were involved in the on-site search and seizure of digital evidence and proposed an unique triage model that matches to the needs of selection and seizure of electronic evidence. This methodology was created to address the demands of The most well-known challenges with cloud and edge computer in the field of computer investigations are covered during this review process. The evaluation is crucial in a number of crucial ways since it clarifies the shortcomings and restrictions of the several ideas that have been put forth. There are still certain research gaps that need to be filled in relation to other concepts for further investigation and application. The stages that are used the most frequently in a digital theoretical model have been chosen for this study, claim the authors of Chen et al. (2019). Chen et al. (2019) utilised this model. Figure 1 shows information from Casey (2011).

Related Figures (3)

Figure 2 Digital forensic framework for DDOS Detection 3.1 within the cloud (see online version for colours) Virtual machine monitor (VMM) is used to monitor the virtual servers. It is highly advised to utilise the virtual environment offered by the cloud and put virtual introspection into place in order to examine and keep track of virtual machines (VMs)
Figure 2 Digital forensic framework for DDOS Detection 3.1 within the cloud (see online version for colours) Virtual machine monitor (VMM) is used to monitor the virtual servers. It is highly advised to utilise the virtual environment offered by the cloud and put virtual introspection into place in order to examine and keep track of virtual machines (VMs)
Figure 3 Frequency analysis of keywords (see online version for colours) Longitudinal shoe study dataset is one among the standard forensic dataset used for the analysis purposes. One hundred sixty pairs of shoes were tracked over time. Data was collected initially and at four subsequent checkpoints for a period of about six months while participants wore either Nike Winflo 4 or Adidas Seeley shoes. This shoe dataset has many crime scene images. way, multiple papers can be categorised as either two or three different kinds of research. There are a total of 22 articles that cover these worries, which demonstrates that there has been an increase in the amount of knowledge regarding the security flaws of cloud computing as computing has progressed over time. The articles that describe current forensic techniques and governmental policies regarding the online platform have drawn the least academic attention; this can be a sign that cloud hosting has not been considered in the current forensic technique. Researchers are suggesting new regulations, procedures, and frameworks to improve the capability to do cloud forensics, according to the 18 articles in this topic that we examined. Both sides of the argument have these proposals. Additionally, phrases help readers understand the overarching concept of an article. Figure 3 demonstrates the strong relevance used in this study to pinpoint the frequency of specific terms in the field of cyber science in the articles under consideration.
Figure 3 Frequency analysis of keywords (see online version for colours) Longitudinal shoe study dataset is one among the standard forensic dataset used for the analysis purposes. One hundred sixty pairs of shoes were tracked over time. Data was collected initially and at four subsequent checkpoints for a period of about six months while participants wore either Nike Winflo 4 or Adidas Seeley shoes. This shoe dataset has many crime scene images. way, multiple papers can be categorised as either two or three different kinds of research. There are a total of 22 articles that cover these worries, which demonstrates that there has been an increase in the amount of knowledge regarding the security flaws of cloud computing as computing has progressed over time. The articles that describe current forensic techniques and governmental policies regarding the online platform have drawn the least academic attention; this can be a sign that cloud hosting has not been considered in the current forensic technique. Researchers are suggesting new regulations, procedures, and frameworks to improve the capability to do cloud forensics, according to the 18 articles in this topic that we examined. Both sides of the argument have these proposals. Additionally, phrases help readers understand the overarching concept of an article. Figure 3 demonstrates the strong relevance used in this study to pinpoint the frequency of specific terms in the field of cyber science in the articles under consideration.
gure 4 Remote desktop connection program (see online version for colours) In the course of our experimenting, we began by setting up two nodes, and from there, we worked our way up to four, then eight. Eight maps and one reducer are configured in a set-up that consists of two nodes. It is designed so that there are 16 maps and two reducers for every four and eight node setup. These regular expressions serve as patterns for the corresponding terms when applied to an Indian context. The design strategy that we adopted allows for the incorporation of new patterns if the investigator requires them to be included.
gure 4 Remote desktop connection program (see online version for colours) In the course of our experimenting, we began by setting up two nodes, and from there, we worked our way up to four, then eight. Eight maps and one reducer are configured in a set-up that consists of two nodes. It is designed so that there are 16 maps and two reducers for every four and eight node setup. These regular expressions serve as patterns for the corresponding terms when applied to an Indian context. The design strategy that we adopted allows for the incorporation of new patterns if the investigator requires them to be included.
Related topics:
Forensic ScienceComputer NetworksCriminal Investigation
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