Big Data and privacy issues

Bikram Acharya2014-06-11

Agendas

• Introduction• Issues in big data• Policy to address privacy issues• Literatures• Discussion• Conclusion

Introduction

• Security and privacy issues are magnified by velocity, volume and variety of such large scale cloud infrastructures, diversity of data sources and formats, streaming nature of data acquisition and high volume inter-cloud migration.• The data generated from sensors, individual archives,

social networks, Internet of Things, enterprise and Internet in varieties of formats, which challenge to effectively manage and identify new ways to analyze

Introduction

• Generation of data and its usage has been increased dramatically; performance of companies has been started to count on successful exploitation of data• Economical paradigm has been shifting to social

media and appropriate data mining, data analytic technologies • Volume, volume with speed, volume analysis, volume

speed analysis

Privacy and security

Issues in Big Data

• Problems• Use of disclosure of personal information by data handler • Rapid growth of internet and its application which has collected personal but

critical data in the name of to avoid anonymity• Cyber threats and security breaches

• Existing solutions to protect Against data Leakage• Oral or Written pledges• Passwords and controlled access• Multi layer authentication• Data leakage prevention technology

Threats and vulnerability

Issues in Big Data

• Insecure computation: allowing insecure program to access the sensitive information, generation of DDOS, can occur information breaches, corrupt• End point input validation: what kind of services, product are trusted,

which data input is valid• Granular access control: No single technology application for entering,

accessing of data, what kind of application should be allowed to access the data• Storage and communication: distributed storage, networks, latency,

eavesdroppers, • Data mining and analytics: privacy, data invasion, loss of originality

and manipulation

Biasedness

Issues in Big Data

• Discrimination of users through Specific digging on internet users activities and their personal profiles• Unnecessary guiding, tracking through system customization and

personalization

Policy to address privacy issues

• Privacy policy of United States is more concerned with the transparency. • Big data is a platform where everything is open and

that could be used as the platform for opportunity

• Privacy policy of EU is restrictive and more focused with personal rights such as right to be forgotten

What existing policy did not cover

Policy to address privacy issues

• Ownership of big data• Who actually legitimate to own the data• Common directive which addresses personal freedom, transparency, right to

be forgotten

Literatures

• balance between state piracy of personal data and protection of individuals’ cyber privacy

• The difficulties of deleting information that has been made available online and the problems of relying solely on domestic privacy regulation

• Different regional approaches to data protection and convergence towards global data protection principles

• The move of various virtual world operators as well as large social media companies to institute a so-called real/verified user id system

• Price Discrimination of certain users for the certain services limits the user and is against the essence of internet

• The threat does not come from private companies but states and governments with legislation will force these companies to provide information whenever the authorities wish is the real threat

Discussion

• Are we returning to the age of Master-Slave by allowing to trade internet users as objects• What we believe? Government act as guardian to citizen protecting our

privacy or breach of piracy?

Conclusion

• Privacy issues in Big Data is scary to protect sovereignty, freedom, security• Privacy policy on confined regulatory boundaries are seemed to be

ineffective which needs of widely accepted regulatory enforcing body that make the common consensus to drive Big Data issues• Data Ownership and respect on data owner are another issues other

which can be interchangeable to privacy but its extend should be limited

References• Europen Union, 2001. REGULATION (EC) No 45/2001 OF THE EUROPEAN PARLIAMENT AND OF THE COUNCIL of 18 December 2000:

on the protection of individuals with regard to the processing of personal data by the Community institutions and bodies and on the free movement of such data. Official Journal of the European Communities, pp. L8/1-L8/22.

• Saxby, S., 2013. The 2012 CLSR-LSPI seminar on privacy, data protection & cyber-security – Presented at the 7th international conference on Legal, Security and Privacy Issues in IT law (LSPI) October 2–4, 2012, Athens. Computer Law & Security Review, 29(1), p. 4–12.

• Wong, R., 2011. Data protection: The future of privacy. Computer Law & Security Review, 27(1), pp. 53-57.

• Cumbley, R., Church, P., 2013, Is “Big Data” creepy?. Computer Law & Security Review, 29(5), 601-609

References• Europen Union, 2001. REGULATION (EC) No 45/2001 OF THE EUROPEAN PARLIAMENT AND OF THE COUNCIL of 18 December 2000:

on the protection of individuals with regard to the processing of personal data by the Community institutions and bodies and on the free movement of such data. Official Journal of the European Communities, pp. L8/1-L8/22.

• Saxby, S., 2013. The 2012 CLSR-LSPI seminar on privacy, data protection & cyber-security – Presented at the 7th international conference on Legal, Security and Privacy Issues in IT law (LSPI) October 2–4, 2012, Athens. Computer Law & Security Review, 29(1), p. 4–12.

• Wong, R., 2011. Data protection: The future of privacy. Computer Law & Security Review, 27(1), pp. 53-57.

• Cumbley, R., Church, P., 2013, Is “Big Data” creepy?. Computer Law & Security Review, 29(5), 601-609