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  2. Cloud computing security - Wikipedia

    en.wikipedia.org/wiki/Cloud_computing_security

    Security concerns associated with cloud computing are typically categorized in two ways: as security issues faced by cloud providers (organizations providing software-, platform-, or infrastructure-as-a-service via the cloud) and security issues faced by their customers (companies or organizations who host applications or store data on the ...

  3. Cloud mining - Wikipedia

    en.wikipedia.org/wiki/Cloud_mining

    Cloud mining is the process of cryptocurrency mining utilizing a remote data center with shared processing power. [1] Cloud mining has been used by ransomware groups and scammers to launder cryptocurrency. [2] This type of cloud mining enables users to mine bitcoins or alternative cryptocurrencies without managing the hardware.

  4. Confidential computing - Wikipedia

    en.wikipedia.org/wiki/Confidential_computing

    Confidential computing is a security and privacy-enhancing computational technique focused on protecting data in use.Confidential computing can be used in conjunction with storage and network encryption, which protect data at rest and data in transit respectively.

  5. Data at rest - Wikipedia

    en.wikipedia.org/wiki/Data_at_Rest

    Because of its nature data at rest is of increasing concern to businesses, government agencies and other institutions. [4] Mobile devices are often subject to specific security protocols to protect data at rest from unauthorized access when lost or stolen [7] and there is an increasing recognition that database management systems and file servers should also be considered as at risk; [8] the ...

  6. Storage security - Wikipedia

    en.wikipedia.org/wiki/Storage_security

    Storage security is a specialty area of security that is concerned with securing data storage systems and ecosystems and the data that resides on these systems. Introduction [ edit ]

  7. Data sanitization - Wikipedia

    en.wikipedia.org/wiki/Data_sanitization

    Data sanitization is an integral step to privacy preserving data mining because private datasets need to be sanitized before they can be utilized by individuals or companies for analysis. The aim of privacy preserving data mining is to ensure that private information cannot be leaked or accessed by attackers and sensitive data is not traceable ...