Comprehensive Social Media Security Analysis & XKeyscore Espionage TechnologyCSCJournals
Social networks can offer many services to the users for sharing activities events and their ideas. Many attacks can happened to the social networking websites due to trust that have been given by the users. Cyber threats are discussed in this paper. We study the types of cyber threats, classify them and give some suggestions to protect social networking websites of variety of attacks. Moreover, we gave some antithreats strategies with future trends.
This is Walden University (DPS Y 5121-1 and 8121-1) Week 9 Discussion 2. It is written in APA, has references, and graded by Dr. Essel (A). Most education communities submit scholarly writings to Turnitin; so, remember to paraphrase.
Presentation about the impact of amount of Internet use and digital skills on political information seeking behavior at Harvard Kennedy School, October 2017.
Comprehensive Social Media Security Analysis & XKeyscore Espionage TechnologyCSCJournals
Social networks can offer many services to the users for sharing activities events and their ideas. Many attacks can happened to the social networking websites due to trust that have been given by the users. Cyber threats are discussed in this paper. We study the types of cyber threats, classify them and give some suggestions to protect social networking websites of variety of attacks. Moreover, we gave some antithreats strategies with future trends.
This is Walden University (DPS Y 5121-1 and 8121-1) Week 9 Discussion 2. It is written in APA, has references, and graded by Dr. Essel (A). Most education communities submit scholarly writings to Turnitin; so, remember to paraphrase.
Presentation about the impact of amount of Internet use and digital skills on political information seeking behavior at Harvard Kennedy School, October 2017.
Slides for my presentation at the Digital Sociology mini-conference at the annual meeting of the Eastern Sociological Society, March 17, 2016 in Boston, MA
First presented at Future of Digital Identity, British Library, 7 Jan 2010. Updated for presentation at Privacy and the Law Conference, London, 1 Dec 2010, and for an OxPILS seminar at Balliol College, 23 May 2012.
Social media visualization for crisis managementMustafa Alkhunni
PhD proposal about the use of data mining and information visualization techniques to manage and guide people within crisis time .
Under the supervision of Dr.Robert Johnathan from Bangor university
MSc.Mustafa ALKHUNNI
Lee Rainie, Director, Internet, Science and Technology from the Pew Research Center to delivered a keynote address at WAN-IFRA’s first World Media Policy Forum. Rainie is one of the world’s top academic researchers on the internet and the social changes triggered by information and communication technologies (ICT.) He talked about what research is showing us about privacy strategies and statistics.
How to social scientists use link data (11 june2010)Han Woo PARK
The author would like to thank Bernie Horgan, Rob Ackland, Jeong-Soo Seo, and Yeon-ok Lee for their helpful comments on an earlier draft. Part of this research was carried out during the author’s stay at the Oxford Internet Institute. During the preparation of final manuscript, this research is supported from the WCU project granted from South Korean Government. This paper has been presented at the 2010 International Communication Association conference held in Singapore. http://www.icahdq.org/conferences/2010/
Integration of Bayesian Theory and Association Rule Mining in Predicting User...Editor IJCATR
Bayesian theory and association rule mining methods are artificial intelligence techniques that have been used in various computing fields, especially in machine learning. Internet has been considered as an easy ground for vices like radicalization because of its diverse nature and ease of information access. These vices could be managed using recommender systems methods which are used to deliver users’ preference data based on their previous interests and in relation with the community around the user. The recommender systems are divided into two broad categories, i.e. collaborative systems which considers users which share the same preferences as the user in question and content-based recommender systems tends to recommend websites similar to those already liked by the user. Recent research and information from security organs indicate that, online radicalization has been growing at an alarming rate. The paper reviews in depth what has been carried out in recommender systems and looks at how these methods could be combined to from a strong system to monitor and manage online menace as a result of radicalization. The relationship between different websites and the trend from continuous access of these websites forms the basis for probabilistic reasoning in understanding the users’ behavior. Association rule mining method has been widely used in recommender systems in profiling and generating users’ preferences. To add probabilistic reasoning considering internet magnitude and more so in social media, Bayesian theory is incorporated. Combination of this two techniques provides better analysis of the results thereby adding reliability and knowledge to the results.
Presentación sobre Windows 2008 realizada en la Fundación Omar Dengo en el TechBoot Camp 2009.
Saludos,
Eduardo Castro – Microsoft SQL Server MVP
http://mswindowscr.org
http://comunidadwindows.org
Costa Rica
Slides for my presentation at the Digital Sociology mini-conference at the annual meeting of the Eastern Sociological Society, March 17, 2016 in Boston, MA
First presented at Future of Digital Identity, British Library, 7 Jan 2010. Updated for presentation at Privacy and the Law Conference, London, 1 Dec 2010, and for an OxPILS seminar at Balliol College, 23 May 2012.
Social media visualization for crisis managementMustafa Alkhunni
PhD proposal about the use of data mining and information visualization techniques to manage and guide people within crisis time .
Under the supervision of Dr.Robert Johnathan from Bangor university
MSc.Mustafa ALKHUNNI
Lee Rainie, Director, Internet, Science and Technology from the Pew Research Center to delivered a keynote address at WAN-IFRA’s first World Media Policy Forum. Rainie is one of the world’s top academic researchers on the internet and the social changes triggered by information and communication technologies (ICT.) He talked about what research is showing us about privacy strategies and statistics.
How to social scientists use link data (11 june2010)Han Woo PARK
The author would like to thank Bernie Horgan, Rob Ackland, Jeong-Soo Seo, and Yeon-ok Lee for their helpful comments on an earlier draft. Part of this research was carried out during the author’s stay at the Oxford Internet Institute. During the preparation of final manuscript, this research is supported from the WCU project granted from South Korean Government. This paper has been presented at the 2010 International Communication Association conference held in Singapore. http://www.icahdq.org/conferences/2010/
Integration of Bayesian Theory and Association Rule Mining in Predicting User...Editor IJCATR
Bayesian theory and association rule mining methods are artificial intelligence techniques that have been used in various computing fields, especially in machine learning. Internet has been considered as an easy ground for vices like radicalization because of its diverse nature and ease of information access. These vices could be managed using recommender systems methods which are used to deliver users’ preference data based on their previous interests and in relation with the community around the user. The recommender systems are divided into two broad categories, i.e. collaborative systems which considers users which share the same preferences as the user in question and content-based recommender systems tends to recommend websites similar to those already liked by the user. Recent research and information from security organs indicate that, online radicalization has been growing at an alarming rate. The paper reviews in depth what has been carried out in recommender systems and looks at how these methods could be combined to from a strong system to monitor and manage online menace as a result of radicalization. The relationship between different websites and the trend from continuous access of these websites forms the basis for probabilistic reasoning in understanding the users’ behavior. Association rule mining method has been widely used in recommender systems in profiling and generating users’ preferences. To add probabilistic reasoning considering internet magnitude and more so in social media, Bayesian theory is incorporated. Combination of this two techniques provides better analysis of the results thereby adding reliability and knowledge to the results.
Presentación sobre Windows 2008 realizada en la Fundación Omar Dengo en el TechBoot Camp 2009.
Saludos,
Eduardo Castro – Microsoft SQL Server MVP
http://mswindowscr.org
http://comunidadwindows.org
Costa Rica
A Survey of Security & Privacy in Online Social Networks (OSN) with regards t...Frances Coronel
Published December 14, 2015, in Social media
Research Presentation on Online Social Networks (OSN) Privacy.
CSC 425
Senior Seminar
Hampton University
Fall 2015
---
FVCproductions
https://fvcproductions.com
This presentation discusses Ethics considerations for Corpus Linguistics studies using internet resources. The talk was given at the Corpus Linguistics 2015 conference at Lancaster, UK (July 21-24, 2015).
In order to explore public attitudes towards the use of data from online services (e.g. social media) or digital devices (e.g. mobile phone GPS), we are running a Twitter based campaign (#AnalyzeMyData) in which we reminded people of instances of data usage that have been reported in news stories and asked them to rate if they considered these data uses to be OK. In order to produce momentum of public participation we designed the experiment as a sustained campaign in which a different news item is presented each day over a period of multiple weeks. Each Tweet includes a link to a mini-survey which asks participants to respond, 'yes', 'no' or 'depends'. To further motivate continued participation as the campaign progresses, we provide a running update on our website of the response statistics to the items that were previously Tweeted. The types of data usage included in the campaign range from academic studies of social media use, to data collection for product development, marketing and government studies. Our hope is that this campaign/experiment will 1) help to raise awareness of the various ways in which personal data, acquired through online services of digital devices, is currently being used, and 2) provide a large dataset of case-studies with an associated baseline of public acceptance/rejection that can be used for future research ethics guidelines and review training.
Privacy and social media for Australian governmentsCraig Thomler
This presentation, given in both the Canberra and Adelaide Social Media conferences by Akolade, provides a view on the dangers and mitigations for privacy concerns when government agencies use social media
Big Data & Privacy -- Response to White House OSTPMicah Altman
Big data has huge implications for privacy, as summarized in our commentary below:
Both the government and third parties have the potential to collect extensive (sometimes exhaustive), fine grained, continuous, and identifiable records of a person’s location, movement history, associations and interactions with others, behavior, speech, communications, physical and medical conditions, commercial transactions, etc. Such “big data” has the ability to be used in a wide variety of ways, both positive and negative. Examples of potential applications include improving government and organizational transparency and accountability, advancing research and scientific knowledge, enabling businesses to better serve their customers, allowing systematic commercial and non-commercial manipulation, fostering pervasive discrimination, and surveilling public and private spheres.
On January 23, 2014, President Obama asked John Podesta to develop in 90 days, a 'comprehensive review' on big data and privacy.
This lead to a series of workshop on big data and technology at MIT, and on social cultural & ethical dimensions at NYU, with a third planned to discuss legal issues at Berkeley. A number of colleagues from our Privacy Tools for Research project and from the BigData@CSAIL projects have contributed to these workshops and raised many thoughtful issues (and the workshop sessions are online and well worth watching).
My colleagues at the Berkman Center, David O'Brien, Alexandra Woods, Salil Vadhan and I have submitted responses to these questions that outline a broad, comprehensive, and systematic framework for analyzing these types of questions and taxonomize a variety of modern technological, statistical, and cryptographic approaches to simultaneously providing privacy and utility. This comment is made on behalf of the Privacy Tools for Research Project, of which we are a part, and has benefitted from extensive commentary by the other project collaborators.
Webinar Series on Demystifying Phases in Clinical Trials & COVID-19 Updates organized by Institute for Clinical Research (ICR), NIH
Speaker: Dr. Salina Abdul Aziz. MREC Chairperson
More information, please visit: https://clinupcovid.mailerpage.com/resources/p9f2i7-introduction-to-phase-2-3-trial-s
How People Care about their Personal Datatheir Data Released onReleased on So...Kellyton Brito
Content sharing services have become immensely popular on the Web. More than 1 billion people use this kind of services to communicate with friends and exchange all sorts of information. In this new context, privacy guarantees are essential: guarantees about the potential release of data to unintended recipients and the use of user data by the service provider. Although the general public is concerned about privacy questions related to unintended audiences, data usage by service providers is still misunderstood. In order to further explore this level of misunderstanding, this work presents the results of a survey conducted among 900 people with the aim of discovering how people care about the use of their personal data by service providers in terms of social media. From the results, we found that: (i) in general people do not read license terms and do not know very much about service policies, and when presented with these policies people do not agree with them; (ii) a good number of people would support alternative models such as paying for privacy or selling their personal data; and (iii) there are some differences between generations in relation to how they care about their data.
David B. Resnik MedicReS World Congress 2015MedicReS
Protecting Privacy and Confidentiality in the Age of Big Data Presentation to MedicReS 5th World Congress on October 19,25,2015 in New York - David B. Resnik, JD, PhD, Bioethicist, NIH/NIEHS
AI Governance and Ethics - Industry StandardsAnsgar Koene
Presentation on the potential for Ethics based Industry Standards to function as vehicle to address socio-technical challenges from AI.
Presentation given at the the 1st Austrian IFIP forum ono "AI and future society".
A koene governance_framework_algorithmicaccountabilitytransparency_october2018Ansgar Koene
Presentation outlining key finding of European Parliament Science Technology Options Assessment report on "A governance framework for algorithmic accountability and transparency", presented at the European Parliament on October 25th 2018.
AI and us communicating for algorithmic bias awarenessAnsgar Koene
Presentation on awareness raising and effective communication around algorithmic bias at the Humboldt Institute for Internet and Society workshop on "AI & us", June 2018
Taming AI Engineering Ethics and PolicyAnsgar Koene
Presentation on the IEEE Global Initiative for Ethics of Autonomous and Intelligent Systems presented at the KAIST workshop on Taming AI: Engineering, Ethics and Policy, June 2018
Keynote presentation on policy approaches to socio-technical causes of algorithmic bias at the Bias in Information, Algorithms and Systems workshop at the iConference on 25 March 2018.
Presentation on the IEEE P7000series standards, and the P7003 standard for Algorithmic Bias Considerations, at the EC JRC HUman behaviour and MAchine INTelligence (HUMAINT) project kick-off workshop, March 2018
A koene intersectionality_algorithmic_discrimination_dec2017Ansgar Koene
Presentation on policy and standards activities related to algorithmic decision making presented at Lorentz centre workshop on Intersectionailty and Algorithmic Discrimination, December 2017
Presentation at European Big Data Values forum on Fairness, Bias and the role of Ethics Standards in Algorithmic Decision Making. Part of the Data & Society session.
Briefing to eCommerce negotiators on algorithmic decision making and associated issues of algorithmic bias. The presentation uses examples to highlight the types and causes of algorithmic decision making bias and to summarize the current state of regulatory responses.
Algorithmically Mediated Online Inforamtion Access at MozFest17Ansgar Koene
Mozfest 2017 Decentralization session group discussion about the role of algorithms in mediating the information that people see online, ways in which this information is/can be manipulated and the responsibility of platforms and developers.
Studium Generale presenation at TU Eindhoven on 25 October 2017 (http://www.studiumgenerale-eindhoven.nl/nl/agenda/archief/the-age-of-the-algorithm/0/1109/) discussing the impact of algorithmic decision making on modern society and the ethical responsibility of engineers who build these systems
Presentation at the AoIR2017 conference at Tartu, Estonia summarizing preliminary results from workshops by the EPSRC funded UnBias project (http://unbias.wp.horizon.ac.uk/)
Editorial responsibilities arising from personalisation algorithmsAnsgar Koene
Presentation at the 2017 Ethicomp conference discussing issues of editorial responsibility of online platforms arising from personalization algorithms that mediate the information that people see online.
Bridging the Digital Gap Brad Spiegel Macon, GA Initiative.pptxBrad Spiegel Macon GA
Brad Spiegel Macon GA’s journey exemplifies the profound impact that one individual can have on their community. Through his unwavering dedication to digital inclusion, he’s not only bridging the gap in Macon but also setting an example for others to follow.
1.Wireless Communication System_Wireless communication is a broad term that i...JeyaPerumal1
Wireless communication involves the transmission of information over a distance without the help of wires, cables or any other forms of electrical conductors.
Wireless communication is a broad term that incorporates all procedures and forms of connecting and communicating between two or more devices using a wireless signal through wireless communication technologies and devices.
Features of Wireless Communication
The evolution of wireless technology has brought many advancements with its effective features.
The transmitted distance can be anywhere between a few meters (for example, a television's remote control) and thousands of kilometers (for example, radio communication).
Wireless communication can be used for cellular telephony, wireless access to the internet, wireless home networking, and so on.
Italy Agriculture Equipment Market Outlook to 2027harveenkaur52
Agriculture and Animal Care
Ken Research has an expertise in Agriculture and Animal Care sector and offer vast collection of information related to all major aspects such as Agriculture equipment, Crop Protection, Seed, Agriculture Chemical, Fertilizers, Protected Cultivators, Palm Oil, Hybrid Seed, Animal Feed additives and many more.
Our continuous study and findings in agriculture sector provide better insights to companies dealing with related product and services, government and agriculture associations, researchers and students to well understand the present and expected scenario.
Our Animal care category provides solutions on Animal Healthcare and related products and services, including, animal feed additives, vaccination
Meet up Milano 14 _ Axpo Italia_ Migration from Mule3 (On-prem) to.pdfFlorence Consulting
Quattordicesimo Meetup di Milano, tenutosi a Milano il 23 Maggio 2024 dalle ore 17:00 alle ore 18:30 in presenza e da remoto.
Abbiamo parlato di come Axpo Italia S.p.A. ha ridotto il technical debt migrando le proprie APIs da Mule 3.9 a Mule 4.4 passando anche da on-premises a CloudHub 1.0.
This 7-second Brain Wave Ritual Attracts Money To You.!nirahealhty
Discover the power of a simple 7-second brain wave ritual that can attract wealth and abundance into your life. By tapping into specific brain frequencies, this technique helps you manifest financial success effortlessly. Ready to transform your financial future? Try this powerful ritual and start attracting money today!
APNIC Foundation, presented by Ellisha Heppner at the PNG DNS Forum 2024APNIC
Ellisha Heppner, Grant Management Lead, presented an update on APNIC Foundation to the PNG DNS Forum held from 6 to 10 May, 2024 in Port Moresby, Papua New Guinea.
APNIC Foundation, presented by Ellisha Heppner at the PNG DNS Forum 2024
Participant Consent and Withdrawal when using publicly archived data
1. Participant Consent and Withdrawal
when using publicly archived data
Ansgar Koene, Elvira Perez, Christopher J. Carter,
Ramona Statache, Svenja Adolphs, Claire O’Malley, Tom
Rodden, and Derek McAuley
HORIZON Digital Economy Research,
University of Nottingham
2. Article 12:
No one shall be subjected to arbitrary interference with his
privacy, family, home or correspondence, nor to attacks upon his
honour and reputation. Everyone has the right to the protection of
the law against such interference or attacks.
Universal Declaration of Human Rights
3. • Public/private data
• Privacy: expressed concerns vs. expressed behaviour
• Interim summary
• Conditions for consent
Overview
4. Public/Private:
People may operate in public spaces but maintain strong
perceptions or expectations of privacy.
They may acknowledge that the substance of their
communication is public, but that the specific context in
which it appears implies restrictions on how that information
is -- or ought to be -- used by other parties.
Social, academic, or regulatory delineations of public and
private as a clearly recognizable binary no longer holds
in everyday practice.
AoIR Ethics Working Committee (version
2.0)
5. • Unless consent has been sought, observation of public
behaviour needs to take place only in public situations where
those observed ‘would expect to be observed by
strangers’.
• It is not always easy to determine which online spaces
people perceive as 'private' or 'public'
• Participants may consider their publicly accessible internet
activity to be private despite agreeing to the site User
License Agreements.
• Communication may have been private when it was first
conducted, even if it is now publicly available.
BPS: Ethics Guidelines for
Internet-Mediated Research (IMR)
8. Most people do not “live up to their self-reported privacy
preferences”.
Even privacy conscious individuals are likely to share sensitive
information with strangers, in particular online.
Applying the “revealed preferences” theory, this and similar
evidence has been used to argue that our society, quite simply,
does not place much value on privacy.
Reported preferences vs. behaviour
Spiekermann et al. (2001)
9. Communication on the Internet has characteristics that are
different from communication in other channels (Boyd, 2008):
Persistence: postings on the Internet are automatically
registered and stored;
Replicability: content in digital form can be duplicated without
cost;
Invisible audiences: we do not know who sees our postings.
Searchability: content in the networked public sphere is very
easily accessible by conducting a search.
People therefore do not have an intuitive sense about the level of
privacy that they should expect from internet communication
Factors affecting user behaviour
and expectations of privacy
11. Preferences about privacy may critically depend on the context
and in particular on initial endowment.
People would like to have more control over their privacy, but
since they know that companies already have access to their
data, they don't bother to try an make an effort to maintain
privacy.
When consumers feel that their privacy is protected, they might
value it much more than when they feel their data has already
been, or may be, revealed.
Fatalistic behaviour
Acquisti et al. (2009)
13. Online privacy
• Surveys show that people indicate desire for data privacy
• People exhibit a lack of privacy enforcing behaviour
• Expectation of loss of privacy results in 'why bother trying'
• Probably also a lack of intuitive understanding of nature of
Internet communications
• OK, but under what conditions would people feel good about
giving their data for research?
Interim summary
15. • Purpose: obtain first-hand data concerning conditions under
which participants would willing consent to having their data
used for research purposes
• Targeted at a wide cross-section of the population
• Recruitment to take place via announcements in mass-
media (press releases)
Questionnaire study regarding
conditions for consent
16. How do required conditions for consent change as function of:
Participant demographics
The type of social network platform
The type of organization doing the study
The type of question being studied
Specific research questions
17. 1)Gender
2)Age
3)Country/Region of residence
4)Highest level of education
5)Current employment
6)Income bracket
1)Political spectrum most closely identified
with
2)Level of political engagement
1)Level of computer literacy
Participant demographics
18. Primary Social Media platform used by participant
1) Blog
2) Microblogging (e.g. Twitter)
3) Social Network sites (e.g. Facebook)
Platform & Organization
Organization doing the study
1) Academic
2) Corporate
3) Government
4) Third-sector
19. Academic & Third-sector style questions:
Study about estimating psychological traits of social media
users based on their postings.
Study related to prevalence and types of cyber-bullying
Linguistics study about context dependent changes in word
usage
Study to identify indicators of mental health problems
through social media communication patterns
Comparison of work/school related communications on public
and private social media platforms
Study on information propagation through friend networks
Specific research questions
20. Corporate questions:
Analysis of advertising efficiency based on identifying how
and when products are talked about on social media
Analysis of social media posts to improve targeted advertising
Government questions:
Study to track if and how a government initiated media
campaign on healthy living is responded to on social media
Study to track how different political parties are commented
on in social media, as part of election polling
Specific research questions
21. Know enough about the researchers so I can trust them
(e.g. background and motivations)
Clearly understand what the study is about
Clearly know which data the study will analyze
Have clear information about how the data will be analyzed
Have clear information about how the results will be reported
Am given pre-publication access to the results
Am paid for my data
Conditions for consent
22. Will there again be a large disparity between survey
answers and actual behaviour?
Self-selection bias of survey responders.
Responses depend so heavily on specific research
question, that result can not generalize.
Concerns/criticisms of study
23. Internet users exhibit complex, context dependent
opinons and behaviour regarding desired privacy, which
can not be derived from theoretical first-principles.
It is therefore necessary to collect direct survey
responses to determine which data can be safely
assumed to be 'public'.
Conclusions
24. What the public doesn't know doesn't hurt them.
It's OK to collect data about people without their
consent, as long as you don't publish it.
Two arguments that GCHQ/NSA strongly endorse
Final thoughts
25. Thank you
For more information on this topic, visit
http://casma.wp.horizon.ac.uk/
Solzhenitsyn