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1. How Data Breaches Affect Privacy And Security
Anonymity, Security, Privacy, and Civil Liberties:
How Data Breaches Affect Privacy and Security
Micheal Boor
CS300DL Technology in a Global Society
Park University
Mr. Mark Munoz
10 July 2015
Outline
1.Introduction
2.Data Breaches Affect Privacy and Security
a.Office of Personnel Management
b.Target
3.Conclusion
a.How to protect yourself and your information
4.Works Cited
Introduction:
While technology has advanced to previously unexperienced levels, our personally identifiable information is less secure now than ever before.
Personally identifiable information can be best described as "data that could potentially be used to identify a specific person;" which includes
information such as your date of birth, social ... Show more content on Helpwriting.net ...
2015. CNN Money, OPM hack's unprecedented haul: 1.1 million fingerprints [Internet]. Available from: http://money.cnn.com/2015/07/10/technology
/opm–hack–fingerprints/. Accessed: 07/10/2015.
OPM. 2014. Background Investigations [Internet]. Available from: https://www.opm.gov/investigations/background
–investigations/. Accessed: 07/09
/2015.
Bertrand, Natasha. 2015. Buisness Insider, The US agency plundered by Chinese hackers made one of the dumbest security moves possible [Internet].
Available from: http://www.businessinsider.com/

2. the–us–agency–plundered–by–chinese–hackers–made–one–of–the–dumbest–security–moves–possible–2015–6. Accessed: 07/09/2015.
Rosenblum, Paula. 2014. Forbes Business, The Target Data Breach Is Becoming A Nightmare [Internet]. Available from: http://www.forbes.com/sites
/paularosenblum/2014/01/17/the–target–data–breach–is–becoming–a–nightmare/. Accessed: 07/09/2015.
Harris, Elizabeth A., Perlroth, Nicole, and Popper, Nathaniel. 2014. New York Times, A Sneaky Path Into Target Customers' Wallets [Internet].
Available from: http://www.nytimes.com/2014/01/18/business/a–sneaky–path–into–target–customers–wallets.html?_r=1. Accessed:
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3. Database Data Mining: the Silent Invasion of Privacy
Database Data Mining: The Silent Invasion of Privacy
Database Data Mining: The Silent Invasion of Privacy
Dustin Johnson
University of Maryland University College
As coined in an article in the St. Louis Post–Dispatch by Aisha Sultan, "Data is the new world currency."Data mining is the process of analyzing data
from different perspectives and then summarizing it into useful information. In essence is it applying all different types of what if scenarios on large
swaths of data to get possible results to aid in better decision making. This sort of decision making isn't something new, it's the technology aiding the
decision making that is new. This has reduced the amount of time it takes in the decision making process and given the... Show more content on
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But after realizing that companies can't govern themselves since the allure of profits from selling consumer information they collect to other agencies
is so great, the FTC has had a change of mind and is now promoting the effort of government regulation of protection of privacy of consumer data. Now
this brings up a good question. What has the FTC done to promote standards/regulations to protect consumer privacy data and what are the punishments
for not complying with those standards and regulations. The FTC had advised congress on enacting laws to protect consumer privacy. Some of those
laws are the Children's' Privacy Protection Act of 1998, Gramm–Leach–Bliley Financial Modernization Act (GLBA), Cable Communications Policy Act
of 1984, Communications Assistance for Law Enforcement Act of 1994, Driver Privacy Protection Act of 1994, Electronic Communications Privacy
Act of 1986, Electronic Fund Transfer Act, Fair Credit Reporting Act, and the Federal Privacy Act (Kim). Most of these regulations are predominantly
enacted for the public sector in order to prevent illegal gathering of information by government agencies at the federal, state, and local level. It is also
the FTC that handles the cases against companies that don't comply with these regulations besides promoting further enhancement of regulations. For
example the FTC is currently advising Congress and implementing a stronger
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4. Privacy Preserving Data Mining : Database Security And...
Privacy Preserving Data Mining
Database Security and Privacy
Jing Wang
250711908
Abstract In recent years, privacy preserving data mining has become a hotspot in data mining. Today, the field of privacy has seen rapid advances in
recent years because of the increase in the ability to store data. In particular, recent advances in the data mining field have led to increasing concerns
about privacy. However, with the development of technologies, the emerging applications result in an accumulation of abundant personal privacy
information, which will easily lead to the violence of personal privacy. Therefore, it is significant to study the privacy preserving data mining
methods of new applications. Data mining is the process of extraction of data from a large database. Knowledge Discovery in Database (KDD) is
another name of data mining. One of the most important topics in a research community is Privacy Preserving Data Mining (PPDM). It refers to the
area of data mining that seeks to safeguard sensitive information from unsolicited or unsanctioned disclosure. The Success of Privacy Preserving data
mining algorithms is measured in terms of its performance, data utility, level of uncertainty or resistance to data mining algorithms. The objective of
privacy preserving data mining (PPDM) is to find a way to manipulate the dataset, so that the sensitive message can't be disclosed in data mining.
Keywords: Database, Privacy, Data Mining, PPDM
Introduction
The
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5. Urban Data Collection And Data Privacy Essay
Urban Data Collection and Data Privacy
(Case Study on LinkNYC Kiosk)
Part I
As the data are getting more and more easily accessed and analyzed by software and algorithms, the development of Urban Science has entered a
new era. The urban technologies have being created to tackle the universe of the big data, and the popularized use of Mobile devices has made data
collection never so easy. Data is everywhere, anytime and in any format. The science of data can be highly applicable to almost any industries, such as
medicine, urban planning, health care, and economics, etc. Most of them are closely connected to citizens' everyday lives, so the responsibilities of
regularizing the data use from private or public uses become extremely crucial for the progress of the overall economy.
In this essay, our primary discussion in this part will be around some specific examples on how urban data is being captured, from examples of 311
calls to interactive street displays like LinkNYC, how the newly collected data is shaping the urban planning process and aiming to solve wicked
problems, and more detailed case analysis on LinkNYC, including the a proposed optimized outcome of deploying this new data collecting technology.
The capturing procedure of the data is the beginning of every story. Take Baltimore's Citi–Stat program for example. Citi–Stat lead by its former mayor
Martin O'Malley is a leadership strategy that a mayor can employ to mobilize city agencies to produce specific
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6. Why Customers Care About Data Privacy
Why customers care about data privacy? Nowadays, questions that involve data privacy and security are becoming progressively significant. There
exist some data collectors that are almost impossible to be identified, so consumers are concerned about it. (Bergström, 2015)
Consumers need to preserve their privacy, due to the fact that they don't want to exposure their personal information to others. This fact has became one
of the most important barrier for companies that try to collect as much information as they can, to arrive through a direct way to their consumers (Lee,
2015).
Big data affects in a different way depending on how privacy, security and welfare influence to the customers. There are different types of consumers
depending on ... Show more content on Helpwriting.net ...
A wrong use of the personal data can produce a big problem for them, but also can be a huge connotation for the society. It is difficult to control the
manipulation of the information, because some data collectors are really hard to be identified. (Bergström, 2015)
Consumer trusting is a key factor for the companies; if the costumers believe and trust to others it would be easy for them to get their personal
information. So we can affirm that "trust" is an important key factor for the privacy concerns. (Bergström, 2015). For the majority of business,
consumers' data is relevant and if they collect as much information as possible, it would be easier to improve a lot their products and services.
(TRUSTe, 2013)
Some companies give to their customers the opportunity to get some presents or the entry to limited content, in exchange of their personal
information. For a lot of people, this type of assistance has an important value so they decide to accept it, and they give them their personal data.
Sometimes, different brands are offering some special deals or they make an auction for those people who have created an account during the time
the promotion is valid. With this, brands have more personal data of potential consumers and they send them newsletters and so on, for catching each
time more clients. For example, Fashion brands like ZARA or H&M they were promoting a special discount of a 25% of a purchase doing an auction
for all the
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7. Privacy Of Data Stream Using Sliding Window Method
Privacy Preserving In Data Stream Using Sliding Window Method
1. INTRODUCTION:
Data Mining is defined as extracting information from huge sets of data. In other words, we can say that data mining is the procedure of mining
knowledge from data. There is a huge amount of data available in the Information Industry. This data is of no use until it is converted into useful
information. It is necessary to analyse this huge amount of data and extract useful information from it. Extraction of information is not the only process
we need to perform; data mining also involves other processes such as Data Cleaning, Data Integration, Data Transformation, Data Mining, Pattern
Evaluation and Data Presentation [12].
Information is today probably the ... Show more content on Helpwriting.net ...
2.1 Anonymization based PPDM
The basic form of the data in a table consists of following four types of attributes:
(i) Explicit Identifiers is a set of attributes containing information that identifies a record owner explicitly such as name, SS number etc.
(ii) Quasi Identifiers is a set of attributes that could potentially identify a record owner when combined with publicly available data.
(iii) Sensitive Attributes is a set of attributes that contains sensitive person specific information such as disease, salary etc.
(iv) Non–Sensitive Attributes is a set of attributes that creates no problem if revealed even to untrustworthy parties [4].
Anonymization refers to an approach where identity or/and sensitive data about record owners are to be hidden. It even assumes that sensitive data
should be retained for analysis. It 's obvious that explicit identifiers should be removed but still there is a danger of privacy intrusion when quasi
identifiers are linked to publicly available data. Such attacks are called as linking attacks. For example attributes such as DOB, Sex, Race, and Zip are
available in public records such as voter list.
Figure 1: Linking Attack
Such records are available in medical records also, when linked, can be used to infer
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8. Data Protection and Customer Privacy
The media, trade bodies and academia has created a large buzz around the Data Protection and customers' privacy in the recent years. The
consequences of the issue raised are different legislation policies, self–regulation, and general confusion. In order to be discussed, this controversial
topic should be looked at from two different perspectives: customers' one and direct marketers' one. From customers' point of view, direct marketing is
undoubtedly an invasion of their privacy. Consumers feel intimidated by the direct marketing campaigns that 'fire' them with different types of
unwanted printed and online media daily. Further, many of them are being concerned about their personal information being so easily available which
makes them feel vulnerable. On the other side are direct marketers who put a lot of effort in their attempts to engage the audience and build/maintain
relationships with them. Moreover, practitioners believe that they are targeting the best prospects and best customers (rather than uninterested people)
who are willing to buy the products offered and are happy to receive up–to–date information about them. Thus, it has been assumed that marketers see
themselves as assistants who help people in choosing the best deals available whereas customers feel like victims rather than catered for.
Customers' concerns about their privacy could be simply splitted up into two parts: unwanted direct marketing approaches and privacy issues. 'Junk
mail', 'Spam' emails,
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9. Little Rock-Based Companies: A Case Study
leading data brokering company with one of the largest commercial database on consumers in the world is Acxiom Corporation. This 9 Little Rock–
based company, according to its executives has about 1500 data points for each of about 500 million consumers worldwide (10% of world
population); in order to manage all data they have (as the пїјпїјпїјпїјпїјпїјпїјпїјпїјпїјпїјпїјпїјпїјпїјпїјпїјпїј