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The Gutmann method is an algorithm for securely erasing the contents of computer hard disk drives, such as files.Devised by Peter Gutmann and Colin Plumb and presented in the paper Secure Deletion of Data from Magnetic and Solid-State Memory in July 1996, it involved writing a series of 35 patterns over the region to be erased.
Data erasure (sometimes referred to as data clearing, data wiping, or data destruction) is a software-based method of data sanitization that aims to completely destroy all electronic data residing on a hard disk drive or other digital media by overwriting data onto all sectors of the device in an irreversible process. By overwriting the data on ...
uses mostly GPL components with published source, a few proprietary components, and fee for media/download [10] [11] OS independent, based on Slackware Linux: Yes internal, external [12] CSV, TXT, and extended TXT [13] shred: GNU Project: GNU GPL v3: Unix: Yes external [14] not directly supported without scripting ShredIt: Mireth Technology ...
The Digital Cleanup Day is an annual event to raise global awareness about the environmental impact of the digital industry. This initiative encourages people to take concrete action by cleaning up their digital data and/or giving a second life to their unused computer equipment. [1]
Data remanence is the residual representation of digital data that remains even after attempts have been made to remove or erase the data. This residue may result from data being left intact by a nominal file deletion operation, by reformatting of storage media that does not remove data previously written to the media, or through physical properties of the storage media that allow previously ...
Offer a clean eating area, cleaning area and supplies, uniforms and shoes, and lockers for clean clothes to the workers; Provide tools to dismantle the e-waste. If the dust contains lead or cadmium: Measure the dust, lead and cadmium level in the air; Provide cleaning facilities such as wet mops and vacuums; Provide exhaust ventilation.