Digital forensic evidence collection of cloud storage data for investigation

Easwaramoorthy, Sathishkumar; Thamburasa, Sankar; Samy, Guru; Bhushan, S.; Karrothu, Aravind

doi:10.1109/icrtit.2016.7569516

Cited by 17 publications

(7 citation statements)

References 9 publications

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“…Also, different data classification plans are assessed while training and testing of the model using the space related data. By assessing the classification precisions of time related and space related models, impact of time related links between observations are investigated [8].As deep learning is ruling the data technology, it doesn't fail to contribute its effectiveness in the agricultural field. Deep learning frameworks are developed with very useful features which include Theano, Tensor Flow, Keras etc.…”

Section: Literature Surveymentioning

confidence: 99%

Applications of UAV in the agriculture field

Akshay,

Reddy,

Nidhi

et al. 2023

ACE

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As the world population is increasing day by day, the rise in food production becomes very crucial. Increasing prominence of technology in the agriculture sector is the X-factor to use unmanned aerial vehicles (UAVs) for the betterment of agricultural processes. In the agriculture sector, many aspects which are not under the control of human beings can also be monitored, managed by the use of technological devices like Unmanned aerial vehicles. Parallel, controlling the pollution in the environment is also important. Fertilizers and pesticides should be applied only in the appropriate amounts. Under amount leads to improper growth of the crop and over amount leads to the soil pollution which further results in water pollution. The usage of the unmanned aerial vehicles in the agriculture sector is a very beneficial thing in both aspects of crop growth and nature conservation. Advantages and application of the unmanned aerial vehicles are properly analyzed in the study.

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Section: Literature Surveymentioning

confidence: 99%

Applications of UAV in the agriculture field

Akshay,

Reddy,

Nidhi

et al. 2023

ACE

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“…Ganache, Metamask, and the provided hashing algorithm were used to build the decentralized application is shown in figure 1, figure 2. Distributed ledger technology (blockchain) could develop a trustworthy voting system [14]. All the votes would be recorded in the distributed ledger system, making it impossible to alter or forge the results [15].…”

Section: Blockchain-based E-voting Systemmentioning

confidence: 99%

The impact of security and privacy threat modeling on blockchain-enabled-electronic voting system

Maheshwari

Mani

2023

ACE

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Blockchain is a decentralized, distributed ledger that records transactions between two parties. A blockchain-based software system is a new and innovative approach to software engineering that uses blockchain technology. This approach has several advantages over traditional software engineering approaches, including improved security and transparency. The most common software engineering approaches are waterfall, agile and hybrid models. Each of these has its strengths and weakness. A blockchain-based system has the advantage of being more secure and transparent than any of these approaches. It also can track changes more accurately, which can improve quality control. Blockchain technologies have incredible potential but also have some problems. One problem is security and privacy issues, which brings into question the resilience of existing security and trust mechanisms. The distributed application (dApp) framework for the proposed electronic voting system is built with the help of blockchain technology in this proposal. As a result, fewer crimes has committed against sensitive data during the electoral process because of immutability, transparency and privacy. Ganache, Metamask and hashing algorithms are used to develop the dApp. The paper's strengths lie in its ability to create and analyze threat models for blockchain-enabled-electronic voting systems and to identify the types of threats using Microsoft STRIDE.

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“…Memory forensics is used to calculate integrity and retrieval of deleted files while network forensics is used to obtain external and internal IP addresses of cloud components [3]. The digital forensic process involves following phases: identification, collection, examination, analysis, reporting with the presentation [8], as shown in Figure 1.…”

Section: Cloud Forensic Architecturementioning

confidence: 99%

Secure Log Forensics as a Service in Cloud Computing

Tak

Kachhwaha

Mahia

2018

ijarcs

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With the advent of internet and technology, cloud computing is globally acceptable for each and every service in the industry. With this huge escalation in implementation, the cloud environment is exposed to an attacker with a large attack surface. So there is an emergent requirement to facilitate forensic investigators to collect, analyze and produce evidence from the cloud environment, which can be used in court cases. Logs maintain useful data regarding activities or events of system, network. This information is very expensive to prove attacks in court cases. So, protection is required and also maintained integrity, confidentially, security of logs. To collect and analyze log messages from different sources like a router, switch, virtual machine, firewalls, operating system. These logs are categorized with a regular expression and to store in particular encrypted format. To overcome threads cost and improve security, an organization should be moved towards the cloud. Using cloud-based log forensics, investigator easily gathers the log and conduct investigation. In cloud computing environment they also used in forensics to prove attacks and increase confidentiality.

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Digital forensic evidence collection of cloud storage data for investigation

Cited by 17 publications

References 9 publications

Applications of UAV in the agriculture field

Applications of UAV in the agriculture field

The impact of security and privacy threat modeling on blockchain-enabled-electronic voting system

Secure Log Forensics as a Service in Cloud Computing

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