Privacy in the cloud
Nessrine Omrani & Serge Pajak, RITM,University Paris Sud
-session 5-
International conference on
“DATA, DIGITAL BUSINESS MODELS, CLOUD COMPUTING AND ORGANIZATIONAL DESIGN”
24-25 November 2014 ,
Université Paris –Sud
Post-quantum cryptography: facts, myths, and business opportunityTuanTrinh53
This document discusses post-quantum cryptography and related business opportunities. It begins by demystifying quantum computing concepts like superposition and entanglement. It then explains how quantum algorithms like Shor's algorithm and Grover's algorithm could break current encryption methods. The document recommends post-quantum cryptography as a solution and discusses related European Union programmes that provide funding for quantum technology research and commercialization, representing business opportunities in this area.
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
The document lists 41 potential IEEE project topics related to distributed computing, cloud computing, wireless networks, and data privacy/security. The projects span several IEEE transactions including Knowledge and Data Engineering, Parallel and Distributed Systems, Cloud Computing, Image Processing, Information Forensics and Security, Mobile Computing, Multimedia, Service Computing, Networking, and Distributed Networking. The document also provides contact information for Vetechnologies, the organization providing the project list.
1) Traditional centralized access control schemes for IoT systems are vulnerable to hacking, allowing adversaries to pretend to be authorized users.
2) The document proposes using blockchain for distributed access control schemes to prevent adversaries from rewriting stored user data and to allow collective management of access rights.
3) A challenge is keeping data secret while leveraging blockchain, which makes data public. The system could be applied to smart locks for rental properties, allowing owners to securely grant digital keys to untrustworthy visitors.
data mining privacy concerns ppt presentationiWriteEssays
Data Mining and privacy Presentation
This is a sample presentation on data mining. The presetation looks at the critical Issues In Data Mining: Privacy, National Security And Personal Liberty Implications Of Data Mining
Enabling fine grained multi-keyword search supporting classified sub-dictiona...LeMeniz Infotech
Enabling fine grained multi-keyword search supporting classified sub-dictionaties over encrypted cloud data
Do Your Projects With Technology Experts
To Get this projects Call : 9566355386 / 99625 88976
Visit : www.lemenizinfotech.com / www.ieeemaster.com
Mail : projects@lemenizinfotech.com
Network security involves components of network design and understanding security when planning, building, and operating a network. It is defined as who can and cannot access and use network resources and security.
The Tryggve project aims to strengthen Nordic biomedical research by facilitating the use of sensitive data in cross-border projects. It works on developing secure computing environments, improving interoperability between Nordic systems, establishing legal guidelines, implementing use cases, and communicating opportunities to Nordic research communities. The project is led by NeIC in collaboration with ELIXIR nodes in Denmark, Finland, Norway, and Sweden and builds on existing technical capacities in each country.
Post-quantum cryptography: facts, myths, and business opportunityTuanTrinh53
This document discusses post-quantum cryptography and related business opportunities. It begins by demystifying quantum computing concepts like superposition and entanglement. It then explains how quantum algorithms like Shor's algorithm and Grover's algorithm could break current encryption methods. The document recommends post-quantum cryptography as a solution and discusses related European Union programmes that provide funding for quantum technology research and commercialization, representing business opportunities in this area.
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
The document lists 41 potential IEEE project topics related to distributed computing, cloud computing, wireless networks, and data privacy/security. The projects span several IEEE transactions including Knowledge and Data Engineering, Parallel and Distributed Systems, Cloud Computing, Image Processing, Information Forensics and Security, Mobile Computing, Multimedia, Service Computing, Networking, and Distributed Networking. The document also provides contact information for Vetechnologies, the organization providing the project list.
1) Traditional centralized access control schemes for IoT systems are vulnerable to hacking, allowing adversaries to pretend to be authorized users.
2) The document proposes using blockchain for distributed access control schemes to prevent adversaries from rewriting stored user data and to allow collective management of access rights.
3) A challenge is keeping data secret while leveraging blockchain, which makes data public. The system could be applied to smart locks for rental properties, allowing owners to securely grant digital keys to untrustworthy visitors.
data mining privacy concerns ppt presentationiWriteEssays
Data Mining and privacy Presentation
This is a sample presentation on data mining. The presetation looks at the critical Issues In Data Mining: Privacy, National Security And Personal Liberty Implications Of Data Mining
Enabling fine grained multi-keyword search supporting classified sub-dictiona...LeMeniz Infotech
Enabling fine grained multi-keyword search supporting classified sub-dictionaties over encrypted cloud data
Do Your Projects With Technology Experts
To Get this projects Call : 9566355386 / 99625 88976
Visit : www.lemenizinfotech.com / www.ieeemaster.com
Mail : projects@lemenizinfotech.com
Network security involves components of network design and understanding security when planning, building, and operating a network. It is defined as who can and cannot access and use network resources and security.
The Tryggve project aims to strengthen Nordic biomedical research by facilitating the use of sensitive data in cross-border projects. It works on developing secure computing environments, improving interoperability between Nordic systems, establishing legal guidelines, implementing use cases, and communicating opportunities to Nordic research communities. The project is led by NeIC in collaboration with ELIXIR nodes in Denmark, Finland, Norway, and Sweden and builds on existing technical capacities in each country.
T closeness through microaggregation strict privacy with enhanced utility pre...LeMeniz Infotech
T closeness through microaggregation strict privacy with enhanced utility preservation
Do Your Projects With Technology Experts
To Get this projects Call : 9566355386 / 99625 88976
Visit : www.lemenizinfotech.com / www.ieeemaster.com
Mail : projects@lemenizinfotech.com
The Tryggve project facilitates cross-border biomedical research by providing secure computing services across the Nordic countries. These services allow sensitive human data to be analyzed while protecting individual privacy through secure data storage, transfer and computing environments. The goal is to enable research collaboration while preventing unauthorized access to personal health data.
This document discusses the growth of the Internet of Things (IoT) and the rise of fog computing. It notes that:
- 50 billion devices are expected to be internet-connected by 2020, up from 12.5 billion in 2010, representing rapid growth.
- Most of the world's data is now being generated by IoT devices like sensors and smart objects, creating big data challenges.
- Fog computing is a new distributed computing model that processes data at the edge of the network, near the data sources, to help address these challenges. It extends cloud computing out to endpoints and access networks.
- Open source software will be important for fog computing and IoT, as it has been
3rd International Conference on Big Data, Blockchain and Security (BDBS 2022)ijcga
The 3rd International Conference on Big Data, Blockchain and Security (BDBS 2022) will take place April 23-24, 2022 in Copenhagen, Denmark. The conference aims to provide a forum for researchers and industry professionals to present innovative ideas and advancements in big data, blockchain, and security. Authors are invited to submit papers by April 2, 2022 on topics related to big data techniques, blockchain consensus algorithms, and various security issues. Selected papers will be published in the conference proceedings and may also be published in related academic journals.
2nd International Conference on IOT, Big Data and Security (IOTBS 2022)ijwscjournal
2nd International Conference on IOT, Big Data and Security (IOTBS 2022) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of IOT, Big Data and Security. It will also serve to facilitate the exchange of information between researchers and industry professionals to discuss the latest issues and advancement in the area of IoT, Big Data and Security.
3rd International Conference on Big Data, Blockchain and Security (BDBS 2022)ijcga
3rd International Conference on Big Data, Blockchain and Security (BDBS 2022) will provide an will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Big Data and Blockchain. It will also serve to facilitate the exchange of information between researchers and industry professionals to discuss the latest issues and advancement in the area of Big Data and Blockchain.
Fog computing extends cloud computing to the edge of a network, closer to IoT devices. It helps process data locally instead of sending everything to the cloud, reducing latency, bandwidth usage, and security risks. Fog computing can provide localized services for applications like healthcare and smart grids, improving response times, privacy, and insights while lowering costs compared to relying solely on cloud infrastructure. The main challenges involve authentication across gateways and devices, and protecting privacy while still obtaining useful aggregate data.
This document presents a proposed model for integrating network security and fine-grained access control to simultaneously handle security at the network and database layers for web databases. The authors implemented their model on a college database and evaluated its performance. Their model suspends unauthorized access attempts, reauthenticates the user, and reports any unauthorized data alterations to authorized users via email or SMS. The implementation results showed how their integrated model is suitable for web database security.
3rd International Conference on Big Data, Blockchain and Security (BDBS 2022)ijcga
3rd International Conference on Big Data, Blockchain and Security (BDBS 2022) will provide an will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Big Data and Blockchain. It will also serve to facilitate the exchange of information between researchers and industry professionals to discuss the latest issues and advancement in the area of Big Data and Blockchain.
The document describes an advanced security system for cloud storage. It uses an encryption technology that allows encryption keys to be exchanged without having to keep the keys secret. This new approach simplifies data protection compared to current methods. A prototype has been developed and tested that can encrypt extremely large files for cloud storage. The system can be adapted for different security levels and is suitable for both small/large companies and individuals. The inventors hold patents and pending applications related to the technology and are seeking partners in data storage and security markets.
This document discusses cloud computing backup and security. It introduces cloud deployment models including public, private and hybrid. It outlines security issues when using the cloud like data theft, privacy, and data loss. It emphasizes the importance of cloud security for critical data storage. The document then describes techniques for encrypting data on the cloud like Caesar cipher, Vigenere cipher and steganography. It provides steps for encrypting a file and storing it on the cloud. Finally, it concludes on understanding cloud security and encryption techniques.
File encryption encrypts and decrypts files on hard drives and removable media. Data encryption hides information and is a branch of mathematics and computer science related to information theory and computer security. Link encryption encrypts and decrypts all traffic at each end of a communications line, unlike end-to-end encryption where encryption only occurs between the sender and receiver. A virtual private network (VPN) allows for secure communications through open connections in a larger network by tunneling the link-layer protocols, though it does not necessarily include authentication or content encryption.
This document discusses cloud computing backup and data security. It introduces cloud deployment models including public, private and hybrid. It outlines security issues when using the cloud like data theft, privacy, and data loss. It emphasizes the importance of cloud security for critical data storage. The document then describes techniques for encrypting data on the cloud like Caesar cipher, Vigenere cipher and steganography. It provides steps for encrypting a file and storing it on the cloud. Finally, it concludes on understanding cloud security and encryption techniques.
Big Data and Security - Where are we now? (2015)Peter Wood
Peter Wood started looking at Big Data as a solution for Advanced Threat Protection in 2013. This presentation examines how Big Data is being used for security in 2015, how this market is developing and how realistic vendor offerings are.
This document summarizes a cloud storage solution implemented using the OwnCloud application that includes an enhanced security algorithm called "The Mist". The Mist requires users to correctly answer one randomly selected security question out of three they created along with the correct answer selected from 50 choices within 16 seconds to gain access to their account. The solution was customized for and implemented at Southeastern University to provide secure cloud storage for the university using the latest enterprise-grade virtualization and server technologies.
Open Archive with Sun Microsystems and SymantecWalter Moriconi
1) The document discusses changing the economic equation for data archiving through open innovation and open archives. It notes that data is expanding exponentially with new consumers, content, devices, and services.
2) Technology is under-serving the growth rate of content, with archive data growth outpacing increases in storage density over time.
3) Archiving faces unique challenges of retaining data forever, making it easily accessible, and satisfying compliance requirements, all at massive and unpredictable scales.
from data to artificial intelligence, from laboratory to industryWidy Widyawan
This document discusses artificial intelligence (AI) research and commercialization in Indonesia. It notes that while Indonesia ranks 41st globally in AI publications, cooperation between Indonesian universities is still low. It highlights some AI research topics at Indonesian universities, including deep learning, neural networks, and natural language processing. The document also presents some university AI use cases, such as road scene segmentation using edge computing and deep learning for cervical cell classification. It argues that to further innovation, Indonesia needs more open data and support from industry and government to help move AI research at universities to commercialization through startups.
Call for Papers - International Conference on Big Data, Blockchain and Securi...IJNSA Journal
International Conference on Big Data, Blockchain and Security (BDBS 2020) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Big Data and Block chain. It will also serve to facilitate the exchange of information between researchers and industry professionals to discuss the latest issues and advancement in the area of Big Data and Blockchain.
International Conference on Big Data, Blockchain and Security (BDBS 2020)IJDKP
International Conference on Big Data, Blockchain and Security (BDBS 2020) will act as
a major forum for the presentation of innovative ideas, approaches, developments, and
research projects in the areas of Big Data and Block chain. It will also serve to facilitate the
exchange of information between researchers and industry professionals to discuss the latest
issues and advancement in the area of Big Data and Blockchain.
Sjaak Brinkkemper: Visual Business Modeling Techniques for the Software IndustryCBOD ANR project U-PSUD
Visual Business Modeling Techniques for the Software Industry
Sjaak Brinkkemper, Utrecht University
at the conference
DATA, DIGITAL BUSINESS MODELS, CLOUD COMPUTING AND ORGANIZATIONAL DESIGN
24-25 November 2014
University Paris –Sud
T closeness through microaggregation strict privacy with enhanced utility pre...LeMeniz Infotech
T closeness through microaggregation strict privacy with enhanced utility preservation
Do Your Projects With Technology Experts
To Get this projects Call : 9566355386 / 99625 88976
Visit : www.lemenizinfotech.com / www.ieeemaster.com
Mail : projects@lemenizinfotech.com
The Tryggve project facilitates cross-border biomedical research by providing secure computing services across the Nordic countries. These services allow sensitive human data to be analyzed while protecting individual privacy through secure data storage, transfer and computing environments. The goal is to enable research collaboration while preventing unauthorized access to personal health data.
This document discusses the growth of the Internet of Things (IoT) and the rise of fog computing. It notes that:
- 50 billion devices are expected to be internet-connected by 2020, up from 12.5 billion in 2010, representing rapid growth.
- Most of the world's data is now being generated by IoT devices like sensors and smart objects, creating big data challenges.
- Fog computing is a new distributed computing model that processes data at the edge of the network, near the data sources, to help address these challenges. It extends cloud computing out to endpoints and access networks.
- Open source software will be important for fog computing and IoT, as it has been
3rd International Conference on Big Data, Blockchain and Security (BDBS 2022)ijcga
The 3rd International Conference on Big Data, Blockchain and Security (BDBS 2022) will take place April 23-24, 2022 in Copenhagen, Denmark. The conference aims to provide a forum for researchers and industry professionals to present innovative ideas and advancements in big data, blockchain, and security. Authors are invited to submit papers by April 2, 2022 on topics related to big data techniques, blockchain consensus algorithms, and various security issues. Selected papers will be published in the conference proceedings and may also be published in related academic journals.
2nd International Conference on IOT, Big Data and Security (IOTBS 2022)ijwscjournal
2nd International Conference on IOT, Big Data and Security (IOTBS 2022) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of IOT, Big Data and Security. It will also serve to facilitate the exchange of information between researchers and industry professionals to discuss the latest issues and advancement in the area of IoT, Big Data and Security.
3rd International Conference on Big Data, Blockchain and Security (BDBS 2022)ijcga
3rd International Conference on Big Data, Blockchain and Security (BDBS 2022) will provide an will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Big Data and Blockchain. It will also serve to facilitate the exchange of information between researchers and industry professionals to discuss the latest issues and advancement in the area of Big Data and Blockchain.
Fog computing extends cloud computing to the edge of a network, closer to IoT devices. It helps process data locally instead of sending everything to the cloud, reducing latency, bandwidth usage, and security risks. Fog computing can provide localized services for applications like healthcare and smart grids, improving response times, privacy, and insights while lowering costs compared to relying solely on cloud infrastructure. The main challenges involve authentication across gateways and devices, and protecting privacy while still obtaining useful aggregate data.
This document presents a proposed model for integrating network security and fine-grained access control to simultaneously handle security at the network and database layers for web databases. The authors implemented their model on a college database and evaluated its performance. Their model suspends unauthorized access attempts, reauthenticates the user, and reports any unauthorized data alterations to authorized users via email or SMS. The implementation results showed how their integrated model is suitable for web database security.
3rd International Conference on Big Data, Blockchain and Security (BDBS 2022)ijcga
3rd International Conference on Big Data, Blockchain and Security (BDBS 2022) will provide an will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Big Data and Blockchain. It will also serve to facilitate the exchange of information between researchers and industry professionals to discuss the latest issues and advancement in the area of Big Data and Blockchain.
The document describes an advanced security system for cloud storage. It uses an encryption technology that allows encryption keys to be exchanged without having to keep the keys secret. This new approach simplifies data protection compared to current methods. A prototype has been developed and tested that can encrypt extremely large files for cloud storage. The system can be adapted for different security levels and is suitable for both small/large companies and individuals. The inventors hold patents and pending applications related to the technology and are seeking partners in data storage and security markets.
This document discusses cloud computing backup and security. It introduces cloud deployment models including public, private and hybrid. It outlines security issues when using the cloud like data theft, privacy, and data loss. It emphasizes the importance of cloud security for critical data storage. The document then describes techniques for encrypting data on the cloud like Caesar cipher, Vigenere cipher and steganography. It provides steps for encrypting a file and storing it on the cloud. Finally, it concludes on understanding cloud security and encryption techniques.
File encryption encrypts and decrypts files on hard drives and removable media. Data encryption hides information and is a branch of mathematics and computer science related to information theory and computer security. Link encryption encrypts and decrypts all traffic at each end of a communications line, unlike end-to-end encryption where encryption only occurs between the sender and receiver. A virtual private network (VPN) allows for secure communications through open connections in a larger network by tunneling the link-layer protocols, though it does not necessarily include authentication or content encryption.
This document discusses cloud computing backup and data security. It introduces cloud deployment models including public, private and hybrid. It outlines security issues when using the cloud like data theft, privacy, and data loss. It emphasizes the importance of cloud security for critical data storage. The document then describes techniques for encrypting data on the cloud like Caesar cipher, Vigenere cipher and steganography. It provides steps for encrypting a file and storing it on the cloud. Finally, it concludes on understanding cloud security and encryption techniques.
Big Data and Security - Where are we now? (2015)Peter Wood
Peter Wood started looking at Big Data as a solution for Advanced Threat Protection in 2013. This presentation examines how Big Data is being used for security in 2015, how this market is developing and how realistic vendor offerings are.
This document summarizes a cloud storage solution implemented using the OwnCloud application that includes an enhanced security algorithm called "The Mist". The Mist requires users to correctly answer one randomly selected security question out of three they created along with the correct answer selected from 50 choices within 16 seconds to gain access to their account. The solution was customized for and implemented at Southeastern University to provide secure cloud storage for the university using the latest enterprise-grade virtualization and server technologies.
Open Archive with Sun Microsystems and SymantecWalter Moriconi
1) The document discusses changing the economic equation for data archiving through open innovation and open archives. It notes that data is expanding exponentially with new consumers, content, devices, and services.
2) Technology is under-serving the growth rate of content, with archive data growth outpacing increases in storage density over time.
3) Archiving faces unique challenges of retaining data forever, making it easily accessible, and satisfying compliance requirements, all at massive and unpredictable scales.
from data to artificial intelligence, from laboratory to industryWidy Widyawan
This document discusses artificial intelligence (AI) research and commercialization in Indonesia. It notes that while Indonesia ranks 41st globally in AI publications, cooperation between Indonesian universities is still low. It highlights some AI research topics at Indonesian universities, including deep learning, neural networks, and natural language processing. The document also presents some university AI use cases, such as road scene segmentation using edge computing and deep learning for cervical cell classification. It argues that to further innovation, Indonesia needs more open data and support from industry and government to help move AI research at universities to commercialization through startups.
Call for Papers - International Conference on Big Data, Blockchain and Securi...IJNSA Journal
International Conference on Big Data, Blockchain and Security (BDBS 2020) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Big Data and Block chain. It will also serve to facilitate the exchange of information between researchers and industry professionals to discuss the latest issues and advancement in the area of Big Data and Blockchain.
International Conference on Big Data, Blockchain and Security (BDBS 2020)IJDKP
International Conference on Big Data, Blockchain and Security (BDBS 2020) will act as
a major forum for the presentation of innovative ideas, approaches, developments, and
research projects in the areas of Big Data and Block chain. It will also serve to facilitate the
exchange of information between researchers and industry professionals to discuss the latest
issues and advancement in the area of Big Data and Blockchain.
Sjaak Brinkkemper: Visual Business Modeling Techniques for the Software IndustryCBOD ANR project U-PSUD
Visual Business Modeling Techniques for the Software Industry
Sjaak Brinkkemper, Utrecht University
at the conference
DATA, DIGITAL BUSINESS MODELS, CLOUD COMPUTING AND ORGANIZATIONAL DESIGN
24-25 November 2014
University Paris –Sud
Data pricing and data license agreements
Magdalena Balazinska, U. Washington (videoconference)
-Key note-
International conference on
“DATA, DIGITAL BUSINESS MODELS, CLOUD COMPUTING AND ORGANIZATIONAL DESIGN”
24-25 November 2014 ,
Université Paris–Sud
Adel Ben Youssef: Determinants of the adoption of cloud computing by tunisian...CBOD ANR project U-PSUD
Determinants of the adoption of cloud computing by tunisian firms, an exploratory study
Adel Ben Youssef, Walid Hadhri, Téja Maherzi, Université de Sopia Antipolis, ISG Tunis,
-session 6-
International conference on
“DATA, DIGITAL BUSINESS MODELS, CLOUD COMPUTING AND ORGANIZATIONAL DESIGN”
24-25 November 2014 ,
Université Paris–Sud
Factors affecting the adoption of cloud computing
Lorraine Morgan, Lero, National University of Ireland Galway
-session 6-
International conference on
“DATA, DIGITAL BUSINESS MODELS, CLOUD COMPUTING AND ORGANIZATIONAL DESIGN”
24-25 November 2014,
Université Paris–Sud
Cloud computing modelling and adoption
Maurizio Naldi, Universita di Roma Tor Vergata
-session 4-
International conference on
“DATA, DIGITAL BUSINESS MODELS, CLOUD COMPUTING AND ORGANIZATIONAL DESIGN”
24-25 November 2014 ,
Université Paris –Sud
Sebatien Tran: Le SI et ses utilisatueurs…perspectives sur la stratégie; it d...CBOD ANR project U-PSUD
Le SI et ses utilisatueurs…Perspectives sur la stratégie; IT des organisations à l’heure du Cloud computing
Sébastien Tran ISC Paris
Emmanuel Bertin Orange Labs, Telecom SudParis
International conference on
“DATA, DIGITAL BUSINESS MODELS, CLOUD COMPUTING AND ORGANIZATIONAL DESIGN”
24-25 November 2014 ,
at Université Paris –Sud
Nabil Sultan. The disruptive and democratizing credentials of cloud computingCBOD ANR project U-PSUD
The disruptive and democratizing credentials of cloud computing
Nabil Sultan
International conference on
“DATA, DIGITAL BUSINESS MODELS, CLOUD COMPUTING AND ORGANIZATIONAL DESIGN”
24-25 November 2014 ,
Université Paris –Sud
Digital Business models in networked abundance
Omar El Sawy, University of South California
At the conference
DATA, DIGITAL BUSINESS MODELS, CLOUD COMPUTING AND ORGANIZATIONAL DESIGN
24-25 November 2014, Université Paris –Sud
Cyril Bartolo: European Users’ recommendations for the success of Public Clou...CBOD ANR project U-PSUD
European Users’ recommendations for the success of Public Cloud Computing in Europe
Cyril Bartolo, President Cloud Computing Council EuroCIO
at the conference
DATA, DIGITAL BUSINESS MODELS, CLOUD COMPUTING AND ORGANIZATIONAL DESIGN
24-25 November 2014
Université Paris –Sud,
Cloud computing business framework
Victor Chang, Leeds Beckett University
International conference on
“DATA, DIGITAL BUSINESS MODELS, CLOUD COMPUTING AND ORGANIZATIONAL DESIGN”
24-25 November 2014 ,
Université Paris –Sud
Digital business strategy & value creation
Margherita Pagani, EM Lyon
International conference on
“DATA, DIGITAL BUSINESS MODELS, CLOUD COMPUTING AND ORGANIZATIONAL DESIGN”
24-25 November 2014 ,
Université Paris –Sud
This document discusses privacy protection issues in cloud computing. It begins by defining cloud computing and privacy protection. The main privacy issues in cloud computing are lack of physical control over data, difficulty tracking and protecting all copies of data, and legal problems due to varying privacy laws across regions. The document proposes using a privacy manager software to help users obfuscate sensitive metadata attributes before sharing data in the cloud. This allows users to set preferences and personae to control how their personal data is handled and used by cloud services.
This document summarizes a webinar about cloud storage and digital preservation. It discusses the UK's Cloud First policy, emerging cloud preservation services, and opportunities for shared learning. The webinar covered why cloud storage is relevant now for digital preservation, an outline of the guidance provided, different cloud service and storage options, legal issues to consider, and how cloud relates to digital preservation of records over the long term. Case studies of different archive organizations using cloud solutions were also presented. The webinar concluded there is potential for cost savings but the main benefit may be enabling new activities, though challenges around the cloud's flexibility and long-term digital preservation requirements must be addressed.
Adoption of Cloud Computing in Scientific ResearchYehia El-khatib
Some might say the scientific research community is somewhat behind the curve of adopting the cloud. In this talk, I present a few examples of adopting the cloud from the wider research community. I also highlight some of the aspects by which cloud computing could affect scientific research in the near future and the associated challenges.
A Secure Multi-Owner Data Sharing Scheme for Dynamic Group in Public Cloud. IJCERT JOURNAL
In cloud computing outsourcing group resource among cloud users is a major challenge, so cloud computing provides a low-cost and well-organized solution. Due to frequent change of membership, sharing data in a multi-owner manner to an untrusted cloud is still its challenging issue. In this paper we proposed a secure multi-owner data sharing scheme for dynamic group in public cloud. By providing AES encryption with convergent key while uploading the data, any cloud user can securely share data with others. Meanwhile, the storage overhead and encryption computation cost of the scheme are independent with the number of revoked users. In addition, I analyze the security of this scheme with rigorous proofs. One-Time Password is one of the easiest and most popular forms of authentication that can be used for securing access to accounts. One-Time Passwords are often referred to as secure and stronger forms of authentication in multi-owner manner. Extensive security and performance analysis shows that our proposed scheme is highly efficient and satisfies the security requirements for public cloud based secure group sharing.
This document provides a summary of core security requirements for cloud computing. It discusses the need to plan for security in cloud environments given issues like multi-tenancy, availability, confidentiality, and integrity. Specific requirements mentioned include secure access and separation of resources for multi-tenancy, assurances around availability, strong identity management, encryption of data at rest and in motion, and checks to ensure data integrity. The document emphasizes the importance of independent audits of cloud providers and having clear expectations around security requirements and notifications of any failures to meet requirements.
The most trusted, proven enterprise-class Cloud:Closer than you think Uni Systems S.M.S.A.
The Big Decision – What, when, and why?
Enterprises are aware that the Cloud is changing IT, but security and performance remain a concern. Each cloud model has potential risks: reliability, adaptability, application compatibility, efficiency, scaling, lock- in, security and compliance. Companies must select an enterprise cloud solution to suit a complex mix of applications; these decisions require great care. Uni Systems’ Uni|Cloud was built to be enterprise class. The essential reason that many businesses today are using Uni Systems Cloud for their enterprise IT, is because it offers the only enterprise-class cloud solution in the Greek market, designed for mission-critical applications, coupled with application performance SLAs and security built for the enterprise, combined with cloud efficiency and consumption-based pricing/chargeback.
This document discusses security issues related to data location in cloud computing. It notes that cloud computing allows on-demand access to computing resources over the internet, but users often do not know where their data is physically stored or which country's laws govern the data. The research aims to develop a model for controlling data resources stored in cloud servers and implementing data manipulation techniques to protect data from unauthorized access across different country servers. The proposed action research methodology involves investigating how cloud vendors control customer data on cloud servers located in various jurisdictions.
Security Management in Cloud Computing by Shivani Gogia - Aravali College of ...acemindia
This document discusses security management in cloud computing. It addresses two key questions - what security controls must customers provide in addition to those of the cloud platform, and how must an enterprise's security tools and processes adapt to manage security in the cloud. It covers security monitoring and management services, information security for data and infrastructure, common security standards like ISO 27001 and 27002, and how security management differs in the cloud compared to traditional IT environments. It also discusses privacy issues like auditing, breaches, compliance and the data lifecycle involving generation, use, transformation, storage, archival and destruction of data in the cloud.
This document summarizes a presentation on cloud and security challenges given by Dr. Tonny K. Omwansa at the ISACA Kenya conference in May 2014. The presentation covered an overview of cloud computing, the results of a study on cloud penetration in Kenya, and security challenges and solutions related to cloud computing. Some key findings from the study included that 69% of organizations in Kenya use some form of cloud, with private cloud being more common than public cloud. The top security concerns related to cloud computing were around traditional security issues, availability concerns, and lack of control and transparency with third-party data in the cloud. Recommendations focused on developing cloud strategies, policies, skills and awareness to better facilitate cloud adoption in Kenya
Your organisation’s data are now everywhere: on your servers and your desktop PCs; on your employees’ smart phones, tablet computers and laptops; on social networks; and in public clouds. Some of these data require special protection but they also need to be accessed remotely, which makes security a considerable challenge. Can you trust public clouds to keep your data safe and secure? Can you trust your own internal systems? And on what criteria and risk management strategies should you base your trust? -- Dr Mark Ian Williams's presentation at the April 2012 'Why Cloud? Why now?' conference at the headquarters of the Institute of Chartered of Accountants of England Wales.
This presentation, given by Bob Jones, CERN & HNSciCloud Coordinator, at the ESA-ESPI Workshop on “Space Data & Cloud Computing Infrastructures: Policies and Regulations”, describes what are the challenges and needs of the cloud users and explains how an hybrid cloud model can support them.
This document discusses processing private K-nearest neighbor (KNN) queries over untrusted cloud data. It proposes a framework that uses privacy homomorphism to securely process queries while preserving the privacy of both the data owner and the client submitting queries. The framework divides query processing into node traversal and distance computation steps. It encrypts the data index and uses the cloud to decrypt distances during computation, while preventing any party from accessing the actual query or result distances. The framework allows private querying without revealing sensitive information to the cloud or data owner.
Un cloud pour comparer nos gènes aux images du cerveau" Le pionnier des bases de données, aujourd'hui disparu, Jim Gray avait annoncé en 2007 l'emergence d'un 4eme paradigme scientifique: celui d'une recherche scientifique numérique entierement guidée par l'exploration de données massives. Cette vision est aujourd'hui la réalité de tous les jours dans les laboratoire de recherche scientifique, et elle va bien au delà de ce que l'on appelle communément "BIG DATA". Microsoft Research et Inria on démarré en 2010 un projet intitulé Azure-Brain (ou A-Brain) dont l'originalité consiste à a la fois construire au dessus de Windows Azure une nouvelle plateforme d'acces aux données massives pour les applications scientifiques, et de se confronter à la réalité de la recherche scientifique. Dans cette session nous vous proposons dans une premiere partie de resituer les enjeux recherche concernant la gestion de données massives dans le cloud, et ensuite de vous presenter la plateforme "TOMUS Blob" cloud storage optimisé sur Azure. Enfin nous vous presenterons le projet A-Brain et les résultats que nous avons obtenus: La neuro-imagerie contribue au diagnostic de certaines maladies du système nerveux. Mais nos cerveaux s'avèrent tous un peu différents les uns des autres. Cette variabilité complique l'interprétation médicale. D'où l'idée de corréler ldes images IRM du cerveaux et le patrimoine génétique de chaque patient afin de mieux délimiter les régions cérébrales qui présentent un intérêt symptomatique. Les images IRM haute définition de ce projet sont produites par la plate-forme Neurospin du CEA (Saclay). Problème pour Les chercheurs : la masse d'informations à traiter. Le CV génétique d'un individu comporte environ un million de données. À cela s'ajoutent des volumes tout aussi colossaux de pixel 3D pour décrire les images. Un data deluge: des peta octets de donnés et potentiellement des années de calcul. C'est donc ici qu'entre en jeu le cloud et une plateforme optimisée sur Azure pour traiter des applications massivement parallèles sur des données massives... Comme l'explique Gabriel Antoniu, son responsable, cette équipe de recherche rennaise a développé “des mécanismes de stockage efficaces pour améliorer l'accès à ces données massives et optimiser leur traitement. Nos développements permettent de répondre aux besoins applicatifs de nos collègues de Saclay.
The document discusses security considerations for cloud computing. It summarizes cloud security working groups that were formed to address security issues and categorize issues. It then discusses elements of a cloud security model including privileged user access, regulatory compliance, data location, data segregation, recovery, investigation support, and long-term viability. Finally, it introduces the Cloud Security Reference Model and the Cloud Cube Model for standardizing secure cloud computing and addressing de-perimeterization of networks.
An Efficient Scheme for Data Sharing Among Dynamic Cloud MembersIRJET Journal
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The document describes a proposed Lightweight Data Sharing Scheme (LDSS) for mobile cloud computing. It aims to provide secure data sharing and efficient access control for resource-constrained mobile devices. The key aspects are:
1. It uses Attribute-Based Encryption (ABE) and outsources computationally intensive encryption/decryption tasks to proxy servers, reducing overhead on mobile devices.
2. The access structure is modified to be suitable for mobile cloud scenarios and lazy revocation is introduced to reduce revocation costs.
3. A prototype framework is implemented to evaluate LDSS, showing it can greatly reduce client-side overhead while introducing minimal additional costs on the server side.
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Nessrine Omrani & Serge Pajak: Privacy in the cloud
1. Privacy
in
the
Cloud
Nessrine
Omrani,
Serge
Pajak
RITM,
University
Paris
Sud
2. Privacy
in
the
Cloud
• Research
part
of
a
PAIP
project,
funded
by
the
Paris-‐Saclay
Idex,
InsFtute
for
a
Digital
Society
• Interdisciplinary
approach:
Economics,
Law
and
Computer
Science
Internship
at
the
department,
Simon
Bouget
ENS
Rennes
3. The
Services
We
Focus
On:
Automated
services
for
remote
storage
and/or
synchroniza6on
between
devices
• Highly
‘privacy-‐relevant’
since
personal
data
are
stored
remotely
• Aimed
at
the
general
public
– Remember
the
privacy
paradox:
people
say
they
care
about
privacy,
but
act
as
if
they
do
not
– Privacy
charters
are
difficult
to
read
(and
are
hardly
read
at
all…)
• Goal:
classificaFon
of
cloud
services,
related
to
performance
4. Cloud
services
• 50
services
– Digital
giants:
Google,
MicrosoZ,
…
– Leaders
of
the
industry:
Dropbox,
Box.com,
…
– Open-‐source
projects:
Cozy,
Sparkleshare,
…
5. Two
steps…
• Working
tools:
Terms
of
use
and
Privacy
terms
of
the
cloud
services’
websites
• Two
steps:
1. Defining
the
classificaFon
grid
2. RelaFng
the
variables
of
interest
to
measure
of
performance
or
other
topic
6. ClassificaFon
grid
• The
reading
grid
includes
the
following
variables:
– Intellectual
property:
Is
informaFon
about
I.P.
included?
– Usage
permission:
The
clarity
of
the
usage
permission
– Data
access:
Who
have
access
to
the
data?
– Data
diffusion:
To
whom
the
data
is
disseminated?
– Data
backup:
Is
the
data
retenFon
period
indicated?
– Warranty:
InformaFon
about
the
warranty’s
degree
– Liability:
The
degree
of
liability
regarding
the
services’
content
– Cookies:
Is
there
informaFon
about
the
existence
of
cookies?
8. The
aim
of
this
classificaFon
effort
• Giving
a
becer
understanding
of
the
Privacy
sedngs
of
the
cloud
services
• Trying
to
provide
a
‘Privacy
dicFonnary’
for
cloud
services’
users