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2nd International Conference on Computer Engineering,Information Science & Application Technology(ICCIA 2017)

作者： Peng Ni Shibo Xu Hang Ma China waterborne transport research institute Peking University

ISBN: (纸本)9781510845008

The analysis and application of big data has become the frontier science at this era. People make universal attentions on the values that are existing or potential brought by the application of big data, but they make little attentions on the security threats behind the application of big data. At present, some researches have realized the security threats generated by the data leakage, its significance is not less than the application of big data. In this article, we put forward the security problems of data leakage caused by data fragmentation of big data, we also put forward some corresponding solutions and mathematical models, and finally, we conduct theory verification through the actual cases, which can effectively prevent the security problems of data leakage caused by data fragmentation.

关键词： Security of big data data fragmentation Security model algorithm

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data Encryption and fragmentation in Autonomous Vehicles using Raspberry Pi 3

Data Encryption and Fragmentation in Autonomous Vehicles usi...

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IEEE World Congress on Services (IEEE SERVICES)

作者： Murad, Sahand Khan, Asiya Shiaeles, Stavros Masala, Giovanni Univ Plymouth Plymouth Devon England Manchester Metropolitan Univ Manchester Lancs England

ISBN: (纸本)9781728138510

Autonomous vehicles have huge potential in improving road safety and congestion. Towards the road map of full autonomy, each vehicle will be able to communicate with other vehicles within the network of vehicles to improve congestion and notify emergencies. Many architectures for communication between vehicles are centralised, typically using cloud servers. The security and trust of that communication is paramount. Therefore, the aim of this paper is to propose a novel method for encrypting and fragmenting data in various cloud providers in order to protect the anonymity and increase the uncertainty for an attacker having access to the data on cloud. Our experimental results seem promising and we were able to achieve good results with low overhead in transmission.

关键词： component data fragmentation encryption autonomous vehicles

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Additively homomorphic encryption and fragmentation scheme for data aggregation inside unattended wireless sensor networks

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ANNALS OF TELECOMMUNICATIONS 2019年第3-4期74卷 157-165页

作者： Kapusta, Katarzyna Memmi, Gerard Noura, Hassan Telecom ParisTech LTCI Paris France Amer Univ Beirut Dept Elect & Comp Engn Beirut Lebanon

data fragmentation and dispersion is recognized as a way of providing confidentiality and availability of data stored inside unattended wireless sensor networks. This paper introduces an additively homomorphic encryption and fragmentation scheme (AHEF). AHEF replaces additively homomorphic secret sharing used in state-of-the-art techniques with additively homomorphic fragmentation. This change has a significant impact on the volume of data stored inside the sensors which in turn supports lower transmission costs. Both, storage and transmission costs are reduced by a factor of at least 2. Moreover, by reducing the number of required computations, AHEF allows sensors to save energy.

关键词： Unattended wireless sensor networks Internet-of-Things IoT UWSN data fragmentation data aggregation data protection Additively homomorphic encryption Information dispersal

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fragmentation in Presence of data Dependencies

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IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING 2014年第6期11卷 510-523页

作者： di Vimercati, Sabrina De Capitani Foresti, Sara Jajodia, Sushil Livraga, Giovanni Paraboschi, Stefano Samarati, Pierangela Univ Milan Dipartimento Informat I-26013 Crema Italy George Mason Univ Ctr Secure Informat Syst Fairfax VA 22030 USA Univ Bergamo Dipartimento Ingn I-24044 Dalmine BG Italy

fragmentation has been recently proposed as a promising approach to protect the confidentiality of sensitive associations whenever data need to undergo external release or storage. By splitting attributes among different fragments, fragmentation guarantees confidentiality of the associations among these attributes under the assumption that such associations cannot be reconstructed by re-combining the fragments. We note that the requirement that fragments do not have attributes in common, imposed by previous proposals, is only a necessary, but not sufficient, condition to ensure that information in different fragments cannot be recombined as dependencies may exist among data enabling some form of linkability. In this paper, we identify the problem of improper information leakage due to data dependencies, provide a formulation of the problem based on a natural graphical modeling, and present an approach to tackle it in an efficient and scalable way.

关键词： data dependencies data fragmentation confidentiality visibility requirements CSP

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Towards the design of a secure data outsourcing using fragmentation and secret sharing scheme

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INFORMATION SECURITY JOURNAL 2016年第1-3期25卷 39-53页

作者： Sareen, Sanjay Sood, Sandeep K. Gupta, Sunil Kumar Guru Nanak Dev Univ Comp Sect Amritsar Punjab India IK Gujral Punjab Tech Univ Kapurthala Punjab India Guru Nanak Dev Univ Reg Campus Dept Comp Sci & Engn Gurdaspur India Beant Coll Engn & Technol Dept Comp Sci & Engn Gurdaspur India

database outsourcing is a new model that offers reliable storage and efficient query execution to clients. Maintaining the confidentiality of data from the service provider is the challenge presented by the growth of database outsourcing. The current approaches for secure database outsourcing are based on encryption. Such approaches impose high computational load on the server. In this paper, we propose a new model based on fragmentation and a secret sharing scheme which partition data among multiple cloud service providers. The privacy requirements are formulated as confidentiality constraints expressing the sensitivity of attributes and their associations. The fragmentation is used to break the sensitive associations among attributes and secret sharing scheme is used to split the values of sensitive attributes among fragments using interpolation. Experimental results show that our proposed model offers better privacy protection from service providers and executes queries efficiently by reducing the computation and communication overhead.

关键词： data confidentiality data fragmentation database outsourcing database service provider secret sharing

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data confidentiality using fragmentation in cloud computing

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INTERNATIONAL JOURNAL OF PERVASIVE COMPUTING AND COMMUNICATIONS 2013年第1期9卷 37-+页

作者： Hudic, Aleksandar Islam, Shareeful Kieseberg, Peter Rennert, Sylvi Weippl, Edgar R. SBA Res gGmbH Vienna Austria Univ East London Sch Architecture Comp & Engn ACE London England

Purpose - The aim of this research is to secure the sensitive outsourced data with minimum encryption within the cloud provider. Unfaithful solutions for providing privacy and security along with performance issues by encryption usage of outsourced data are the main motivation points of this research. Design/methodology/approach - This paper presents a method for secure and confidential storage of data in the cloud environment based on fragmentation. The method supports minimal encryption to minimize the computations overhead due to encryption. The proposed method uses normalization of relational databases, tables are categorized based on user requirements relating to performance, availability and serviceability, and exported to XML as fragments. After defining the fragments and assigning the appropriate confidentiality levels, the lowest number of Cloud Service Providers (CSPs) is used required to store all fragments that must remain unlinkable in separate locations. Findings - Particularly in the cloud databases are sometimes de-normalised (their normal form is decreased to lower level) to increase the performance. Originality/value - The paper proposes a methodology to minimize the need for encryption and instead focus on making data entities unlinkable so that even in the case of a security breach for one set of data, the privacy impact on the whole is limited. The paper would be relevant to those people whose main concern is to preserve data privacy in distributed systems.

关键词： Cloud computing data confidentiality Privacy-preserving data fragmentation data outsourcing data management Computing

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Enhancing data protection in a distributed storage environment using structure-wise fragmentation and dispersal of encrypted data 17

Enhancing data protection in a distributed storage environme...

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17th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (IEEE TrustCom) / 12th IEEE International Conference on Big data Science and Engineering (IEEE BigdataSE)

作者： Kapusta, Katarzyna Memmi, Gerard Univ Paris Saclay Telecom ParisTech LTCI Paris France

ISBN: (纸本)9781538643877

We present a simple and effective way of fragmentation and dispersal of data encrypted with block ciphers. The method takes into consideration the block structure of the ciphertext, as well as the chaining properties of some of the operation modes. It considerably increases the difficulty of a brute-force search aiming at recovering data from less than the totality of the fragments. It can easily be integrated as an additional step inside known fragmentation techniques (such as Secret Sharing Made Short or AONT-RS) protecting data in a situation of key exposure. Comparative experimental results show clear performance and scalability improvement over relevant works.

关键词： data fragmentation data protection information dispersal multi-cloud distributed storage

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Combining fragmentation and Encryption to Ensure Big data at Rest Security 1

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17th International Conference on Hybrid Intelligent Systems (HIS)

作者： Heni, Houyem Ben Abdallah, Marwa Gargouri, Faiez Univ Sfax MIR CL Lab Sfax Tunisia

ISBN: (数字)9783319763514

ISBN: (纸本)9783319763514;9783319763507

We are in the midst of a revolution within computing, it goes under the name of big data. Thus, Due to big data proliferation and the various information resources, our personal data will be shared and published by all people;that is why our privacy will be increasingly accessed, and thus threatened by hackers. In this context, many researchers have proposed different methods to ensure the security of sensitive and identifiable information. Through this paper, we want to dig into the security context while implementing a methodological approach to protect the sensitive data in the big data frameworks. In this article, we propose a method which combines fragmentation and encryption to ensure security in Mongo database. It allows sensitive data security in NoSQL context.

关键词： Big data NoSQL Security Mongo db data fragmentation

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Poster Abstract: Secure data Sharing by Means of fragmentation, Encryption, and Dispersion

Poster Abstract: Secure Data Sharing by Means of Fragmentati...

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IEEE Conference on Computer Communications (IEEE INFOCOM)

作者： Kapusta, Katarzyna Qiu, Han Memmi, Gerard Telecom ParisTech LTCI Paris France

ISBN: (纸本)9781728118789

Outsourcing data to the cloud raise several security challenges. Among others, a user may fear that their data could be exposed during a data breach, misused by the storage provider, or acquired by an attacker observing communication channels. In this poster abstract, we introduce a conceptual multi-cloud architecture reinforcing the confidentiality of the information sharing. Not only it does protect against untrusted storage providers but also is a secure alternative to direct data sharing between users. Moreover, it simplifies the access revocation procedure when the data is shared between multiple users.

关键词： data outsourcing data sharing data fragmentation data dispersion all-or-nothing access revocation

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DSM: A Low-Overhead, High-Performance, Dynamic Stream Mapping Approach for MongoDB

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JOURNAL OF INFORMATION SCIENCE AND ENGINEERING 2019年第2期35卷 447-469页

作者： Nguyen, Trong-Dat Lee, Sang-Won Sungkyunkwan Univ Coll Informat & Commun Engn Suwon 16419 South Korea

For write-intensive workloads, reclaiming free blocks in flash SSDs is expensive due to data fragmentation problem that leads to performance degradation. This paper addresses that problem in MongoDB, a popular document store in the current market, by introducing a novel stream mapping scheme that exploits unique characteristics of MongoDB and multi-streamed technology. It dynamically assigns streams for corresponding writes according to their hotness values and distinguishes writes on primary index files from writes on secondary index files. The proposed method is high-performance, lowoverhead, and independent of data models or workloads. Empirical results in Linkbench benchmark show that compared to the original WiredTiger our approach improves the throughput and reduces the 99th-percentile latency by up to 65% and 46.2% respectively. Compared to the best-performance in the prior research, our approach improves the throughput and reduces the 99th-percentile latency by up to 23% and 28.5% respectively. Distinguishing writes on primary index files from writes on secondary index files enhances the throughput and the 99th-percentile latency by up to 11.7% and 15.7% respectively. Moreover, by tuning the leaf page size in B+Tree of MongoDB, we can significantly improve the throughput by 1.6x-2.1x in Linkbench.

关键词： data fragmentation hot/cold data identification multi-streamed SSD NoSQL database MongoDB

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