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4th International Conference on Information Science and Applications (ICISA)

作者： Kim, Sung-Hwan Eom, Jung-Ho Chung, Tai-Myoung Sungkyunkwan Univ Sch Informat Commun Engn Suwon South Korea

ISBN: (纸本)9781479906048;9781479906024

Recently developments in network, mining and data store technology have heightened the need for big data and big data security. In this paper, we focus on the big data's characteristic which takes seriously the analysis of value than the data itself. We express the relationship between attributes using nodes and edges. Through this, we propose a big data security hardening methodology by selecting "protect attributes" from attributes relationship graph.

关键词： big data big data security Attributes Relationship security Hardening Methodology

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big data security Challenges and Preventive Solutions 3rd

Big Data Security Challenges and Preventive Solutions

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International Conference on data Management, Analytics and Innovation (ICDMAI)

作者： Gupta, Nirmal Kumar Rohil, Mukesh Kumar Jaypee Univ Anoopshahr Dept Comp Sci & Engn Anoopshahr India Birla Inst Technol & Sci Dept Comp Sci & Informat Syst Pilani Rajasthan India

ISBN: (纸本)9789813299498;9789813299481

big data has opened the possibility of making great advancements in many scientific disciplines and has become a very interesting topic in academic world and in industry. It has also given contributions to innovation, improvements in productivity and competitiveness. However, at present, there are various security risks involved in the process of collection, storage and use. The leakage of privacy caused by big data poses serious problems for the users;also the incorrect or false big data may lead to wrong or invalid analysis of results. The presented work analyzes the technical challenges of implementing big data security and privacy protection, and describes some key solutions to address the issues related with big data security and privacy.

关键词： big data big data analysis big data security Privacy protection

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big data security Framework Based on Encryption 4th

Big Data Security Framework Based on Encryption

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4th International Conference on Cloud Computing and security (ICCCS)

作者： Wu, Shaobing Wang, Changmei Yunnan Police Coll Inst Informat Secur Kunming 650223 Yunnan Peoples R China Yunnan Normal Univ Solar Energy Inst Kunming 650092 Yunnan Peoples R China

ISBN: (纸本)9783030000127;9783030000110

The biggest challenge for big data era from a security point of view is the protection of user's privacy and data security. big data analysis is a more complex process, especially if the data is unstructured. We must transfer the unstructured to the structured data if we query the information. Organizations will have to track down what pieces of information in their big data are ddata security and the related technologies for big data security, which includes Key Management for Access Control, Attribute-Based Access Control, Secure Search for Parties Involved, Searchable Encryption and Secure data Processing.

关键词： big data security security framework Encryption

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big data security: Requirements, Challenges and Preservation of Private data inside Mobile Operators

Big Data Security: Requirements, Challenges and Preservation...

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5th IEEE International Black Sea Conference on Communications and Networking (IEEE BlackSeaCom)

作者： Dincer, Cem Zeydan, Engin Turk Telekom Secur Planning & Applicat Dept Istanbul Turkey Turk Telekom Labs Istanbul Turkey

ISBN: (纸本)9781509050499

Today's mobile operators (MOs) are experiencing tremendous amount of data usage of their subscribers. This results in data tsunami arriving from various sources inside MOs' network infrastructures. On the other hand, handling this data increase in an elegant manner will be utmost importance for designing the next generation cellular SG network infrastructure. In this evolving SG architecture, there will also be many vertical market players from different domains (e.g. car manufacturers, retailers, banks, transportation providers) as well as third party players (e.g. application developers) that will be interacting with MO's subscribers private data through many innovative big data applications. These big data applications can provide additional value added services to MOs. On the other hand, ensuring the security of these applications utilizing big data will be another dimension that needs to be provisioned carefully. In this paper, we study the various security requirements and challenges of running big data application services by MOs themselves. Based on the system architecture that is studied, we have also run extensive vulnerability tests against one example of big data application deployed inside MO's premises. Our results indicate key security findings and map some of the missing requirements into the considered big data application scenario.

关键词： big data security cellular networks mobile operators private data

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big data security in Cloud Environment 4

Big Data Security in Cloud Environment

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4th IEEE International Conference on big data security on Cloud (bigdatasecurity) / 4th IEEE International Conference on High Performance and Smart Computing (HPSC) / 3rd IEEE International Conference on Intelligent data and security (IDS)

作者： Reddy, Yenumula B. Grambling State Univ Dept Comp Sci Grambling LA 71245 USA

ISBN: (纸本)9781538643990

big data conventionally coins large volume of data that continuously increases in a real-time basis and difficult to store, retrieve, and process in traditional database techniques. But it is necessary to know that big data is unstructured and does not follow the conventional storage retrieval methods. The challenges are to store in a cloud, process, and develop meaningful form so that it is useful to the businesses, government, and customers. This paper discusses the current challenges to store, retrieve, process, and implement security requirements, and possible solutions. We further provide the security model in a dynamic cloud environment to store, process and retrieve the data.

关键词： big data cloud computing big data issues big data security access rights cloud environment authentication sensitive data

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big data security Survey on Frameworks and Algorithms 7

Big Data Security Survey on Frameworks and Algorithms

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7th IEEE International Advance Computing Conference (IACC)

作者： Chandra, Sudipta Ray, Soumya Goswami, R. T. Birla Inst Technol Kolkata Campus Kolkata India

ISBN: (纸本)9781509015603

Technology today has progressed to an extent wherein collection of data is possible for every granular aspect of a business, in real time. Electronic devices, power grids and modern software all generate huge volumes of data, which is in the form of petabytes, exabytes and zettabytes. It is important to secure existing big data environments due to increasing threats of breaches and leaks from confidential data and increased adoption of cloud technologies due to the ability of buying processing power and storage on-demand. This is exposing traditional and new data warehouses and repositories to the outside world and at the risk of being compromised to hackers and malicious outsiders and insiders. In this paper the current big data scenario has been summarized along with challenges faced and security issues that need attention. Also some existing approaches have been described to illustrate current and standard directions to solving the issues.

关键词： big data big data security big data Privacy

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big data security: A Progress Study of Current User Authentication Schemes 4

Big Data Security: A Progress Study of Current User Authenti...

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4th IEEE International C)onference on Applied and Theoretical Computing and Communication Technology (iCATccT

作者： Algaradi, Thoyazan Sultan Rama, B. Kakatiya Univ Dept Comp Sci Warangal Andhra Pradesh India

ISBN: (纸本)9781538677063

In the past few years, a rapid evolution in the ICTs has been witnessed in various aspects, leading to a higher communication volume, and data exchange. `big data' is one of the recent paradigms, which comes into the picture as a result of such ever-growing technologies, characterizing the huge amounts of heterogeneous datasets generated from a large number of connected systems, and describing various techniques, and strategies designed to handle such datasets. However, data security has gained a major attention in the `big data' environment, where a massive data have to be accessed, processed, and exchanged between millions of heterogeneous devices all around the world. User authentication is one of the data security aspects which plays a significant role in protecting data and ensuring that only authorized entity can gain access to the shared data and related services. Recently, a number of authentication schemes have been developed to protect information transferred over insecure public channels in the big data systems. In this paper, we explore user authentication issues in big data environments, presenting some of the major authentication frameworks proposed recently for the same. First, we briefly define the user authentication strategy in terms of big data paradigm;then we investigate a number of authentication schemes exist in literature and highlight their main contributions. Finally, we provide a relative comparison of these schemes, presenting their authentication models, methodologies, key advantages and potential limitations.

关键词： big data big data security User Authentication Authentication Protocols

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big data security in Healthcare Survey on Frameworks and Algorithms 7

Big Data Security in Healthcare Survey on Frameworks and Alg...

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7th IEEE International Advance Computing Conference (IACC)

作者： Chandra, Sudipta Ray, Soumya Goswami, R. T. Birla Inst Technol Kolkata Campus Kolkata India

ISBN: (纸本)9781509015603

Healthcare data is increasingly being digitized today and the data collected today coming in from all modern devices, has reached a significant volume all over the world. In the US, UK and other European countries, healthcare data needs to be secured and Patient Health Records (PHR) need to be protected so that re-identification of patients cannot be done from basic information. Privacy of healthcare is an important aspect governed by Healthcare Acts (e.g. HIPAA) and hence the data needs to be secured from falling into the wrong hands or from being breached by malicious insiders. It is important to secure existing healthcare big data environments due to increasing threats of breaches and leaks from confidential data and increased adoption of cloud technologies. In this paper the current healthcare security scenario in big data environments has been summarized along with challenges faced and security issues that need attention. Some existing approaches have been described to illustrate current and standard directions to solving the issues. Since healthcare governance in the US has a strong focus on security and privacy as opposed to other countries on this day, the paper focuses on Acts and privacy practices in the US context.

关键词： Healthcare big data big data security big data Privacy

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A lattice-based efficient certificateless public key encryption for big data security in clouds

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FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE 2024年 158卷 255-266页

作者： Li, Juyan Yan, Mingyan Peng, Jialiang Huang, Haodong El-Latif, Ahmed A. Abd Heilongjiang Univ Sch Data Sci & Technol Harbin 150080 Peoples R China Prince Sultan Univ Coll Comp & Informat Sci Ctr Excellence Quantum & Intelligent Comp EIAS Data Sci Lab Riyadh 11586 Saudi Arabia Menoufia Univ Fac Sci Dept Math & Comp Sci Shibin Al Kawm 32511 Egypt

With the advancement of technology and the development of digitization, big data has become an integral component of modern society. Due to the huge volume of big data, users generally upload data to the cloud for storage and computation. Because data in the cloud is beyond the control of users, it faces threats such as data security and personal privacy leakage. To address these concerns and achieve big data security and privacy protection in clouds, data encryption is crucial. Traditional public key encryption involves complex certificate management in a public key infrastructure (PKI). Although the identity -based encryption (IBE) scheme avoids the management of public key certificates, it has issues with key escrows and identity revocation. The certificateless public key encryption (CL-PKE) not only solves the key escrows problem in IBE, but also maintains its advantage of not requiring the use of certificate in PKI, making it suitable for the security protection of big data in clouds. However, most CL-PKE schemes are constructed based on large integer factorization and discrete logarithm problems, which cannot resist quantum computing attacks. Therefore, this paper proposes an efficient lattice -based CL-PKE scheme for big data security in clouds. In addition, the proposed scheme is extended to a lattice -based certificateless proxy re -encryption scheme, facilitating secure big data sharing in clouds. The proposed CL-PKE scheme can resist attacks from both internal and external adversaries, and has been proven to be IND-CPA secure under the learning with errors (LWE) assumption. Experiments have shown that the proposed CL-PKE scheme has lower computational and communication costs. The proposed lattice -based schemes can effectively provide post quantum security for the security and privacy protection of big data in clouds.

关键词： big data security Preimage sample algorithm Certificateless public key encryption Lattice

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A novel group key transfer for big data security

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APPLIED MATHEMATICS AND COMPUTATION 2014年 249卷 436-443页

作者： Hsu, Chingfang Zeng, Bing Zhang, Maoyuan Cent China Normal Univ Comp Sch Wuhan 430079 Peoples R China S China Univ Technol Sch Software Engn Guangzhou 510006 Guangdong Peoples R China

With the rapid development of group-oriented services over big data, it needs novel solutions to ensure big data security. Most existing group key transfer protocols depend on a mutually trusted key generation center (KGC) to transport the group key to all group members secretly. This approach requires a trusted sever to be set up, and it incurs communication overhead costs. In addition, existing protocols based on secret sharing scheme use traditional threshold schemes to compute a t-degree interpolating polynomial and uses the polynomial to encrypt and decrypt the secret group key. This approach increases the computational complexity. In this paper, we construct efficient and secure group key transfer based on secret sharing over big data. We first present a novel group key transfer protocol without an online KGC, which is based on DH key agreement and a perfect linear secret sharing scheme (LSSS). The confidentiality of the group key transfer phase of this protocol is information theoretically secure, which is ensured by the LSSS. Furthermore, this protocol can resist potential attacks and also significantly reduces the overhead of system implementation. Such a protocol is desirable for many group-oriented applications over big data. (C) 2014 Elsevier Inc. All rights reserved.

关键词： Group key transfer big data security DH key agreement Linear secret sharing schemes Vandermonde Matrix

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