Assisted deletion of related content

Ritzdorf, Hubert; Karapanos, Nikolaos; Čapkun, Srđjan

doi:10.1145/2664243.2664287

Cited by 4 publications

(3 citation statements)

References 30 publications

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“…In second experiment evaluate performance time evaluation between propose as well as some existing approaches. Four different existing approaches has been evaluated in Figure 2 like [5,6,7,8], according to that experiment analysis system shows how propose system provides better results than classical approaches..…”

Section: Results Illustration and Experiments Analysismentioning

confidence: 99%

“…We can use introspection techniques because they will not corrupt the source of evidence while collecting necessary data. According to [6] Content is often repeated, modified or modified on primary storage systems, and users lose control over its dispersion on the system. The content identified with a specific venture from the framework in this way turns into a work escalated errand for the client.…”

Section: Litarature Surveymentioning

confidence: 99%

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SAAS: Attack Detection and Prevention with Forensic in cloud environment

Rahila*,

Khonde

2019

IJITEE

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Basically cloud computing security is essential nowadays, it has arisen as a technology to allow users as well as clients to access communications, data storage, software as well as exploitation Environment according to pay-as-what-use structure. Conventional digital forensic can’t be investigated due to some technical challenges like environmental as well as technical. The vibrant nature of cloud computing provides massive opportunities to identify malicious request using various security algorithms in cloud environment. Proposed research work identifies the current issues and provides solutions to reduce some challenges in the cloud environment. In this paper system proposed forensic investigation of cloud security for trusted and untrusted environments. System illustrated the various machine learning algorithms for eliminate the malicious request, and investigate the malicious user also. Proposed method generate the user log base snapshot during the active session and manual investigator can verify all logs and identify the malicious user. We offer a skilled technique for forensic examination in the cloud with the help of virtual machine (VM) and generate snapshots. The experimental analysis shows illustration of proposed security of system.

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Section: Results Illustration and Experiments Analysismentioning

confidence: 99%

Section: Litarature Surveymentioning

confidence: 99%

SAAS: Attack Detection and Prevention with Forensic in cloud environment

Rahila*,

Khonde

2019

IJITEE

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“…Although the IRCUS system [29] was developed for an entirely different use case, namely that of helping users to identify related content when deleting sensitive data from files or projects, there are many similarities to our proposed approach. First of all, they had the same goal of not changing users' work practices and being able to integrate the service transparently without modifications to applications or the operating system.…”

Section: Related Workmentioning

confidence: 99%

Using a file history graph to keep track of personal resources across devices and services

Geel

Norrie

2016

Int J Digit Libr

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Personal digital resources now tend to be stored, managed and shared using a variety of devices and online services. As a result, different versions of resources are often stored in different places, and it has become increasingly difficult for users to keep track of them. We introduce the concept of a file history graph that can be used to provide users with a global view of resource provenance and enable them to track specific versions across devices and services. We describe how this has been used to realise a version-aware environment, called Memsy, and report on a lab study used to evaluate the proposed workflow. We also describe how reconciliation services can be used to fill in missing links in the file history graph and present a detailed study for the case of images as a proof of concept.

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