There are many extensions [13] of k-anonymity such as strong k-anonymity, l-diversity, t-proximity, p-sensitivity and historical-k-anonymity. This is a difficult question because the justification of rights should not be deterred by fear or shame. Undoubtedly, many people will remain silent and will not file a complaint if it means that their most private and personal medical facts will be subject to public scrutiny. Anonymity and privacy are also terms that people often mix. Keeping a participant`s participation in your study completely anonymous means that there is no personal data (PII) about them. As we usually make pre-selections to qualify participants in our studies, we know their names, email addresses, etc. Instead, we usually treat their participation confidentially. We do not associate a participant`s name or other personal data with their data (e.g. notes, surveys, videos) unless the participant gives their written consent. Instead, we use a participant ID (e.g., P1, Participant 1). It is important to protect a participant`s privacy, so if you are unable to grant anonymity, you should at least keep their participation confidential. Anonymous business transactions can protect consumer privacy.
Some consumers prefer to use cash when purchasing everyday goods (such as food or tools) to prevent sellers from collecting or requesting information in the future. Credit cards are linked to a person`s name and can be used to find other information such as mailing address, phone number, etc. The ecash system is designed to enable secure anonymous transactions. Another example would be Enymity, which actually makes a purchase on behalf of a customer. When buying taboo goods and services, anonymity makes many potential consumers more familiar with the transaction or more willing to participate in the transaction. Many loyalty programs use cards that personally identify the consumer involved in each transaction (possibly for subsequent solicitation or for redemption or security purposes) or that act as a digital pseudonym to be used in data mining. Attempts at anonymity do not always meet with social support. On the other hand, anonymity also gives an arbitrator the opportunity to set aside or undermine or undermine or promote certain types of research, politics, or ideological agenda, or engage in personal attacks/promotions, or simply do inferior work without perhaps the greatest sanctions and responsibilities that an identity openness would entail (Godlee, 2002; Newcombe and Bouton, 2009; Weller, 1996). In fact, the reports of some referees are little more than ad hominem attacks that might not occur face-to-face or if the examiner`s name was known. It has been suggested that referees would try to slow down, slow down or even undermine areas of research that could steal their thunder. However, others have found that there is no evidence of less bias in non-blind examinations (Weller, 1996).
La Fig. 9.18 shows a minimum limit rectangle at different times for the L1 device with three devices in the anonymity set. The different T1, T2, and T3 temporal instances correspond to different exclusive location updates in the case of continuous LBS for devices. In a continuous LBS, the same identifier is mapped to all the surrounding rectangles. In such a scenario, knowing the position of the three devices in the temporal instances T1, T2 and T3 is sufficient for the adversaries to conclude that the L1 device is the only common device between the anonymity sets produced by the three camouflage zones shown (characterized by dotted limits). Even if attackers only have location information for two of the three instances, this will seriously compromise the privacy of the devices in the anonymity set. Historical k-anonymity solves these risks by ensuring that the camouflage zone changes over time so that all anonymity sets during a service session contain at least k common devices and therefore the devices have historical anonymity k. Judge Globe granted anonymity to the girls because of their age. He was probably thinking of the special protection afforded to children because of their “physical and mental immaturity” under the Human Rights Act. For example, under the United Nations Convention on the Rights of the Child (CRC), children who have committed a crime must “fully respect their privacy at all stages of the process.” K anonymity requires that in shared data, each record can be mapped to at least K records in the original data. In other words, each record of the shared data has at least k− 1 identical records in the same shared data. For example, in Table 1, (a) are the original data and (b) the data derived from (a).
(b) has k-anonymity, where k = 2. In Sweeney (2002), Latanya Sweeney introduced the principle of k-anonymity and proved that if shared data has the property of k-anonymity, the link attack that connects the shared data to other external data and attempts to break the anonymity of the data can be defended.