Essay about Getting to know a few Differential Private Systems

Privacy in this era is threatened by the growth in technology with capacity that is enhanced for surveillance, storage, communication as well as computation. Moreover, the increased value of this information in decision making is one of the insidious threats. For this reason, information and its privacy are actually threatened and less privacy is assured.

These extremely large data sets may be analyzed computationally to reveal patterns, trends, and associations relating to human behavior and interaction. These analysesaffect us on day to day basis positively and negatively and the legality of how this information is collected and the laws that apply may be unclear. Both with or without users' knowledge, consumer personal data is collected from every daily, digital activity; from purchases, web searches, amazon searches, browsing history, and phone use. This data is generated, and then downloaded and stored. [15] Companies can then use this data to create "data sets" or large files of users' data to produce customer profiling. This data can also be used by police, the governmental bodies, scientists, businesses, military, and other industries where occasional breaches of data are expected .[16] Breaches and leaks of personal information including phone calls, credit card information, home address, and personal phone numbers are examples of information that is logged and stored by these corporations while making "data sets". Much of this information is being processed and sold to marketers for the purpose of marketing their products. This information is stored digitally and in some cases, regardless of the security of the information being stored, there are risks of unauthorized parties

In “Privacy under Attack,” the authors discuss some potential ways of how our privacy could be in danger or stolen by companies or accessible by administration and corporations. According to the authors, some ways that our privacy could be in danger are first through video records and picture taken by traffic cameras and surveillance cameras for us. Second through illegal “wiretaps” by the government that could hear our conversations. Third, our privacy and personal data could be “monitored by corporations through the role of club cards, raffles, or refunds that outside companies’ collection of data about us can then be sold without noticing, given consumers the optional to search for the box on any frame to indicate they don’t want their personal

Although technology has provided tools to enhance our capabilities in things such as finding a missing person, solving murder cases based on technological assets etc.., this technology also leaves us vulnerable in many ways to slowly losing our privacy (Burten, C., 2012).

Privacy! It’s an elementary principle we all value and fight to protect. However, with technological trends, such as Facebook, Instagram, Twitter and Snapchat, our lives have now become accessible to all. These social media platforms have become part of our daily lives, from sharing personal information or activities to communal networking. The fascination to be trendy and acquire followers, is compromising our privacy principles and places us at significant risk. It’s remarkably easy to pretend that we control what personal information we share, however, realistically we leave technological trails every day we login to these apps, or browse the internet. For the most part, it seems that

In the past decade, a number of PPDM techniques have been proposed to facilitate users in performing data mining tasks in privacy-sensitive environments. Agrawal and Srikant [3], as well as Lindell and Pinkas [63], were the first to introduce the notion of privacy-preserving under data mining applications. Existing PPDM techniques can be classified into two broad categories: data perturbation and data distribution. Data Perturbation Methods: With these methods, values of individual data records are perturbed by adding random noise in such a way that the distribution of the perturbed data look very deferent from that of the actual data. After such a transformation, the perturbed data is sent to the Miner to perform the desired data mining tasks. Agrawal and Srikant [3] proposed the first data perturbation technique that could be used to build a decision-tree classifier. A number of randomization-based methods were later proposed [6, 33, 34, 73, 104]. Data perturbation techniques are not, however, applicable to semantically- secure encrypted data. They also fail to produce accurate data mining results due to the addition of statistical noises to the data. Data Distribution Methods: These methods assume that the dataset is partitioned eitherhorizontallyorverticallyanddistributedacrossdifferentparties. The parties

Privacy, a term that is reluctant in today’s modernized society who’s meaning is far from realistic. As the world congruently fosters a new way of living, through technology our lives as we know as our own is far from it. This paper will discuss the use of technology to research ones private information, the advantages and disadvantages of the public access of such information and the laws that promulgate such data.

Over the past few years, the development of the Internet and the intrusive surveillance capabilities of these technologies have caused privacy to become a major political and social issue for millions of Americans who go online.  Companies employ a variety of tools to gather marketable information on American citizens.  Most of the use of this information is for personalized advertisement and to create databases of target audiences.  While these activities may appear to be nothing more than annoyances for a majority of Americans, there is the hidden danger of the loss of privacy.

How would you feel if I told you that I know almost everything there is to know about you – from your occupation to the brand of toothpaste you use, from your IQ to your culinary tastes, and so on – even though you have never met me, and possibly were not even aware of my existence? Most people would immediately state that they would feel violated, stripped of their individuality. Yet millions of people browse the Net day after day, blissfully ignorant of the fact that that they are always being monitored by someone to some degree. By selling you items and/or services, Amazon.com knows your reading preferences; your favorite online grocery store knows what kind of toothpaste you prefer; your university knows

Nevertheless, such an argument can be disputed threefold, but first we must come to a loose understanding of what privacy is. Adam D. Moore defined privacy “as a right to control access to places, locations, and personal information along with use and control rights to these goods.” (Pg. 425) If this is the case then it must be the right holder who determines access to private information, therefore invoking the ‘nothing to hide’ argument is unlawful and an infringement of liberty. To reiterate this point Moore offers the following case. “Imagine upon exiting your house one day you find a person searching through your trash painstakingly putting the shredded notes and documents back together. In response to your stunned silence he proclaims

As new technology becomes more prevalent in our everyday lives, we have become increasingly comfortable with the lack of privacy associated with this technology.

The amount of data produced in the world is increasing exponentially, and we are a part of this phenomenon. We all use email, phones, social media, and credit cards. The new technologies that we are bringing home, such as smart cars and smart TVs, are collecting more and more data. Boyd and Crawford exposed the imperfections of the Big Data industry, and they have shown that we cannot assume that the industry will solve its own problems. By using all these technologies, we have given Big Data access to our finances, social interactions, homes, and minds. Big Data offers imperfect people tools that can be used for good and evil. If we are blind to how our data is being collected, the industry will continue misusing our data. But if we pay attention, and demand the technology companies respect our privacy, they will be forced to have higher standards. Currently, our society has ignored how our privacy is being jeopardized. As Boyd and Crawford noted, we don’t have the tools and access of researches, and our often unaware of the algorithms collecting our information (759,760). But we do have power. We can voice our concerns, or find alternatives to services that don’t respect us. We can use the tools we have access to for good, just like Big Data has been used

Privacy has expanded to more complex forms including people’s information displayed throughout technology (Kasper 71).

Privacy either encourages or is a necessary factor of human securities and fundamental value such as human embarrassment, independence, distinctiveness, freedom, and public affection. Being completely subject to mutual scrutiny will begin to lose self-respect, independence, distinctiveness, and freedom as a result of the sometimes strong burden to conform to public outlooks.

Personal privacy today is a controversial and complex topic, which is influenced by a number of factors. There is an integral role that databases play in this highly debated topic. The fact that many people now carry out their transactions electronically is another important factor. There is also pressure on personal privacy for increased national security around the world to combat terrorism. In addition, personal privacy is even threatened by commercial factors and the Internet.