State-of-the-art in Privacy Preservation for Enterprise Data

Anant, Aaloka; Prasad, Ramjee

doi:10.1109/wpmc50192.2020.9309459

Cited by 4 publications

(3 citation statements)

References 9 publications

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“…If users feel that their personal information has been violated or leaked, their low trust in network companies will decline sharply, and then reduce or stop using relevant services, which will inevitably lead to user loss, and increasingly stringent laws and regulations. For example, the implementation of the GDPR will lead to more serious illegal problems [13].…”

Section: Potential User Loss and Illegal Problemsmentioning

confidence: 99%

Fission-like Expansion of Consumer Groups: The Market Form of the E-commerce Platform "New Retail" Take Pinduoduo as an Example

Ni,

Zhang

2024

AEMPS

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In the wave of the Internet economy, the use of effective marketing strategies is particularly important for new e-commerce companies. Taking Pinduoduo as an example, based on literature analysis and case analysis, this paper concludes that Pinduoduo uses fission marketing to rapidly expand user clusters and improve user viscosity through various fission marketing activities, successfully shaping a low-cost and affordable brand image. Although fission marketing has shortcomings such as excessive dissemination of information and security risks of leaking users' personal information, it is still an important reason for Pinduoduo's success. Based on the negative impact of fission marketing, this paper argues that e-commerce platforms should first control the excessive dissemination of information and improve the protection of user information, and secondly, each enterprise should formulate a fission marketing plan according to its own specific conditions. Finally, this paper puts forward ideas for the in-depth study of fission marketing theory.

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Section: Potential User Loss and Illegal Problemsmentioning

confidence: 99%

Fission-like Expansion of Consumer Groups: The Market Form of the E-commerce Platform "New Retail" Take Pinduoduo as an Example

Ni,

Zhang

2024

AEMPS

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“…Several practices like [6] PEC -privacy aware edge computing, [7] Privacy-Preserving Asynchronous Federated Learning Mechanism for Edge Network Computing (PAFLM) and many other techniques are being used to deal with privacy preservation of data in edge devices. [8] has more details on the existing practices for privacy preservation of Enterprise data in general.…”

Section: Existing Practicesmentioning

confidence: 99%

“…Individual methods evaluated in the table below are not explained in detail in this paper. More on these methods can be found in the paper reference [8].…”

Section: Evaluating Different Approaches For Enterprise Data Anonymiz...mentioning

confidence: 99%

Privacy Preservation for Enterprises Data in Edge Devices

Anant

Prasad

2022

JICTS

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Privacy becomes the most important topic as user’s data gets more and more widely used and exchanged across internet. Edge devices are replacing traditional monitoring and maintenance strategy for daily used items in households as well as industrial establishments. The usage of technology is getting more and more pervasive. 6G further increases the importance of edge devices in a network as network speeds increase, making the edge device much more powerful element in the network. Edge devices would have massive store and exchange of personal data of the individual. Data privacy forms the primary requirement for accessing data of individuals. Paper presents a novel concept on combination of techniques including cryptography, randomization, pseudonymization and others to achieve anonymization. It investigates in detail how the privacy relevant data of individuals can be protected as well as made relevant for research. It arrives at an interesting and unique approach for privacy preservation on edge devices opening up new business opportunities and make the data subject in charge of their data.

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