BIG DATA SECURITY IEEE PAPER 2022



Big data security is the collective term for all the measures and tools used to guard both the data and analytics processes from attacks, theft, or other malicious activities that could harm or negatively affect them
Big data security can be termed as the tool and measures which are used to guard both data and analytics processes. The main purpose of Big data security is to provide protection against attacks, thefts, and other malicious activities that could harm valuable data.






can be employed to improve big data security . big data security work. The third segment covers the fundamentals of IoT, big data healthcare big data analytics, and big data security .

An Empirical Study of Intelligent Security Analysis Methods Utilizing Big Data
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for the intelligent security analysis utilizing big data as well as on an intelligent security analysis method utilizing big data the intelligent security analysis method utilizing big data is

Network Security System Design of Big Data Platform in Taian of Health Based on IPV9 Technology
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The network security of the Big Data Platform of Health means that the hardware, software Big Data Platform in Taian of Health as a sample, the network security architecture of Big Data

Big Data Intelligence for Smart Applications
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Big Data and Artificial Intelligence are two technologies that are inextricably linked, to the point that we can think about Big Data security and privacy, Internet of Things security andSystem (INDS) can be envisioned as connectivity with provision to ensure data security . For INDS to be successful, all participants and stakeholders must align. INDS does not mean an

A Study on the Design of Big Data Governance Framework in Higher Education and Its Application in Student Management
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of big data in university education, this paper has designed a reference framework for big data quality and data security problems have rendered trouble for relevant business whichTherefore, protecting the privacy of sensitive data is of great importance. In general, traditional methods for protecting privacy and security of big data in BANs fall into three classes.

Big data and data protection
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In this sense, prejudice can result not only from the well-known privacy-related risks (eg, illegitimate use of personal information, data security ), but also from discriminatory and invasive

A Secure Encrypted Classified Electronic Healthcare Data for Public Cloud Environment
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big data in the blood bank supply chain and data management needs an intelligent, automated system to classify the essential data data is obtained to ensure the user data security and language big data big data intelligent algorithms, network data and network science, big data and deep learning, big data privacy and security big data clustering retrieval, and big data

Privacy, data protection, and security studies
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in her analysis of the potential glitches and shortfalls of Big Data security analytics, similarly foregrounds that the significance of errors and clues can easily vanish in the complexity and

How do Asian central banks use big data Insights from an Irving Fisher Committee survey
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however, poses new challenges, with specific attention paid in the region to cyber security and data strategy. International policy cooperation, especially among public authorities in

Challenges, Research Issues and Tools involved in Big data and Hadoop
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To handle the challenges, we need to know various computational complexities, information security and computational method, to analyze big data . For example, many statistical

Big Research Information in Data Lake
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of data in the data protection and data security guidelines . The identification of use cases with high business benefits supports the avoidance of a data swamp in which no more data

Journal of Big Data Research
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Numerous federal laws affect cyber security and Big Data in one way or another. According to Johnson, the Economic Espionage Act (EEA) of 1996 became law on October 1 1996

Development paradigms of cyberspace endogenous safety and security
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time methods to collect data of suspected problem scenarios as much as possible, and using comprehensive technologies, such as black/white lists, big data and artificial intelligence

The risk assessment on the security of industrial internet infrastructure under intelligent convergence with the case of GEs intellectual transformation
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and big data analysis. Intelligent fusion is dependent on the architecture and security provides a possible infrastructure mode and related security evaluation system. Secondly, it

Key Aspects of Data Science, Methodologies, Issues, Challenges and its Applications
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of data science, big data methodologies of conducting a data The paper will be interesting to Data Analysts, Data ML, data validations, quality assurance checks, data security and

Analysis of Big Data in Social Media Marketings Application
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in the era of big data we identify the social media marketing changes caused by data ; finally, security ; data searching and data sharing, and other industrial chains . In general, it can

Implementation of Novel Association Rule Hiding Algorithm Using FLA with Privacy Preserving in Big Data Mining
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Big data is also aimed at increasing fertility flows in this conference. In addition, of data a few algorithms are currently employed on centralized and distributed data for privacy security . In the big data era, data are being generated at an unprecedentedly high speed and volume, which is a result of automated technologies for data requirements for data security and

A Unified Vendor-Agnostic Solution for Big Data Stream Processing in a Multi-Cloud Environment
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adding a security security aspects into the early design stages of a big data implementation [58]. This is the approach supported by this research and integrated into MC-BDP’s security

THE IMPLICATIONS OF BIG DATA ON SUBJECTIVITY: A CASE STUDY OF CAMBRIDGE ANALYTICA
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This thesis analyzes the implications of big data on subjectivity with a genealogical approach through the case of Cambridge Analytica. The changes in the epistemology, episteme,

Data Lineage Management with Unlearning Method for Machine Learning Security and Privacy Issues
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In today’s big data environment, users interact with data on various web platforms, such as sending and receiving emails, browsing news, etc., almost every day. For users, once they

AN EFFICIENT FILE ACCESS CONTROL TECHNIQUE FOR SHARED CLOUD DATA SECURITY THROUGH KEY-SIGNATURES SEARCH SCHEME
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In this research contribution, a cloud data security system for an efficient file access control technique that provide practical trusted security for shared cloud data is proposed. Proposed

What Does It Take to Adopt Big Data Management Approach at Malaysian Higher Education Institutions
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of big data adoption at HEIs; in other words, what it takes for Malaysian universities to start adopting big data problems lay ahead into implementing big data in HEIs. By engaging big data management, multilingual data management, data analytics, machine learning, wireless network and signal processing, cognitive radio network, big data and cyber securityAbstract: Big data is a collection of large volume of data and extract similar data points from First, number of data points is collected from big dataset. Then, along with the weight value,

Caring for ( Big ) Data : An Introduction to Research Methodologies and Ethical Challenges in Digital Migration Studies
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Besides taking proper care of research participants’ privacy, autonomy, and security this also spans carefully establishing analytically sustainable environments for the respective

The Dividends of Digitalization and Big Data to Institutional Quality and the Macroeconomy
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This chapter analyzes interactions between digitalization and big data innovations and Most of the worsening security and attendant political instability reflects the 9/11 terrorist

Data Protection or Data Utility
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Big Data alone is expected to lead to the automation of nearly 80 percent of all physical work, 70 percent of data processing, and 64 percent of data offbetween data security and data

A Scalable Big Data Framework for Real-Time Traffic Monitoring System
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In this context we use big data solutions because it is an integrated production platform and includes all Apache Hadoop ecosystem (MapReduce, Hive, Pig, Impala, Mahout, HBase, In addition, they exaggerate for the sake of the national security national integration, and global presence with the advent of the AI and big data technologies. It has made no secret of its

Security in IoT-enabled Smart Agriculture: Architecture, Security Solutions and Challenges
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and impact of Big Data technology on agricultural practices and identify the challenges and opportunities of its adoption in the field. Misra et al. [18] studied the role of IoT, Big data and

Smart IoT-based security system for residence
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[16] discusses on the era of big data which involved face when it comes to handling big data . The authors proposed a face recognition method driven by big data . Instead of extracting

Data System and Data Management in a Federation of HPC/Cloud Centers
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(eg privacy, data security and responsibilities after a hacking attempt), fundamentals of accounting (who to bill for services rendered), and informational aspects (eg user contact data ) in

Meta Heuristic MOWF for Privacy and Security aware Cloud task scheduling
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data security has become an important factor that is considered during the specification and scheduling of tasks. Current algorithms for cloud ignore the security into account the security

The LEXIS Platform for Distributed Workflow Execution and Data Management
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Including security during the design phase and all along the security standards of all LEXIS partners, we have targeted a high level of security by aiming at the most advanced security

An Extensive review on IoT security challenges and LWC implementation on tiny hardware for node level security evaluation
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This paper leads to propose a new 32-bit LWC that empowers the IoT environment for data security . Big data : An abundance of sensitive information is available due to constant

Cyber Security Risks The New Dimension in Appraisal of Construction Projects
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dimension of cyber security risks in project Big data driven anomaly detection in industry (4.0): An approach and a case study. In IEEE international conference on big data ( big data

Building effective and acceptable securitydriven urban resilience
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technologies and big data in the provision of security but we security how citizens contribute to safety agendas, and the extent to which such technological fixes actually help security

Legal Dilemma and Way Out in the Environment of Big Data Discriminatory Pricing
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big data behaviors, use technical means to monitor and warn the platforms big data behaviors, and use big data when necessary, and use big data technology to sort out Merchant’s

A Glance at Contemporary Visual Data
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concept of big data first appeared. It is because of the enormous volumes of data that they in cloud-based medical data visualizations, security is crucial. Any medical or health journal

ADVANCE NETWORK SECURITY POLICIES AND VULNERABILITIES OF SECURITY THREATS
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refers to the data security we observe that there are pair of different kinds of data to begin Surya Narayana Reddy, Data Synthesis and Importance of Big Data Security Analytics for

Service Level Agreement Based Secured Data Analytics Framework for Healthcare Systems
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IoT health data is typically in the form of big data and is frequently coupled with the cloud for To enhance data security the block chain and its associated technology are discussed with

Developing an Efficient Secure Query Processing Algorithm on Encrypted Databases using Data Compression
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of data compression before sending the encrypted results from the server to clients. We have addressed security issues through securing the data I understand Journal of Big Data is an

Designing a New Data Encryption Algorithm Using a Genetic Code Method
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encryption methods developed to ensure data security and protection of data . These Since the RSA encryption algorithm does not tend to encrypt big data it performs encryption to manage big data and extract useful information. Cloud systems are becoming unavoidable to store, classify, interpret, and visualize these data raising security and privacy issues.

Analysis on the Control of Data Collection, Privacy, and Usage
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for breach of online privacy and security . There is also a need to In response to Kosinskis contemplation on how Big Data Based on this review of the use of big data . It draws attention

DEMYSTIFYING DARK DATA CHARACTERISTICS IN SMALL AND MEDIUM ENTERPRISES: A MALAYSIAN EXPERIENCE
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in understanding the implications of big data on social behaviour, of big data which is primarily concerned with physical data if their data security was compromised, and data would be

Development and Testing of the Information Security Protocol in the Medical Cloud Platform
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of data security provided, within the framework of the proposed algorithm, a cloud-based medical information system for storing, processing and systematizing confidential data was

ROLE OF BIG DATA ANALYTICS IN INCREASING BRAND EQUITY WITHIN PHARMACEUTICAL INDUSTRY
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big data we are talking about data of various types, sources and sizes. Based on the above argument, the current study aimed at examining the influence of big data Business Security (

An Effective Entity Resolution Approach for Big Data
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To overcome such issues, we propose a novel and efficient ER approach for big data could be used but in most cases, it is not allowed for security purposes. In some cases, we

An intelligent method for reducing the overhead of analysing big data flows in Openflow switch
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send, store, and process Big Data . SDN demonstrates that it can also benefit from big data such as traffic engineering , cross-layer design, defence against security attacks, and SDN-

An Access Control Scheme Using Heterogeneous Signcryption for IoT Environments
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Accessing the big data generated by these applications in and security hardiness of hyperelliptic curve. Besides the The AVISPA tool is used to simulate the security requirements ofof data but also for incorporating decentralized security mechanisms. For example, blockchain and off-chain can provide data security and privacy of the IoT data multimedia big data in

Development of large-scale big data system with state management on serverless cloud architectures
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Moreover, cloud vendors provide security through a set of specific policies and optimal performance via optimized hardware and network connections. In recent years, software vendors

Personal Data Protection Policy Impact on the Company Development
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data security on enterprise development and the reverse impact of entrepreneurship on personal data The growing interaction between personal data algorithms and big data analytics, intelligence or big data ; and finally one in training, that of Pablo Moral Martín, who enters fully into the problem of misinformation and fake news as a challenge for national security . The

Cloud technologies for basics of artificial intelligence study in school
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networks (ANN), Deep Learning, Data Science, Big Data mastering the basic skills of using to consider the ethical issues that arise when using AI, such as data security and privacy.

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