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Data loss prevention (DLP) software detects potential data breaches/data exfiltration transmissions and prevents them by monitoring, [1] detecting and blocking sensitive data while in use (endpoint actions), in motion (network traffic), and at rest (data storage). [2] The terms "data loss" and "data leak" are related and are often used ...
In business ethics, Ethical decision-making is the study of the process of making decisions that engender trust, and thus indicate responsibility, fairness and caring to an individual. To be ethical, one has to demonstrate respect, and responsibility. [ 1 ]
In fact, significant progress (by den Boer, Maurer, Wolf, Boneh and Lipton) has been made towards showing that over many groups the DHP is almost as hard as the DLP. There is no proof to date that either the DHP or the DLP is a hard problem, except in generic groups (by Nechaev and Shoup). A proof that either problem is hard implies that P ≠ NP.
Business ethics operates on the premise, for example, that the ethical operation of a private business is possible—those who dispute that premise, such as libertarian socialists (who contend that "business ethics" is an oxymoron) do so by definition outside of the domain of business ethics proper.
Such examples are quite common and can include cases from everyday life, stories, or thought experiments, like Sartre's student or Sophie's Choice discussed in the section on examples. [10] The strength of arguments based on examples rests on the intuition that these cases actually are examples of genuine ethical dilemmas.
Macroethics (from the Greek prefix "makros-" meaning "large" and "ethos" meaning character) is a term coined in the late 20th century [1] to distinguish large-scale ethics from individual ethics, or microethics. It is a type of applied ethics. Macroethics deals with large-scale issues, often in relation to ethical principles or normative rules ...
The problem for graphs is NP-complete if the edge lengths are assumed integers. The problem for points on the plane is NP-complete with the discretized Euclidean metric and rectilinear metric. The problem is known to be NP-hard with the (non-discretized) Euclidean metric. [3]: ND22, ND23
Also of note, in July 2016, Joshua Fried, Pierrick Gaudry, Nadia Heninger, Emmanuel Thome published their discrete logarithm computation on a 1024-bit prime. [7] They generated a prime susceptible to the special number field sieve, using the specialized algorithm on a comparatively small subgroup (160-bits). While this is a small subgroup, it ...