SECURE DATA TRANSFER AND DETECTION FROM COUNTING BLOOM FILTER IN CLOUD COMPUTING

Case study describing the pillars, personnel, and process of developing the TARDIS:REFLUX smartphone app

<span lang="EN-US">Cloud Computing is the ability to improve the utility or train new human resources without investing in new infrastructure, or add capabilities to existence without the latest software licensing. It expanded the capabilities of Information Technology (IT). From the past few years, cloud computing has developed from a good business concept in the best rising sectors of the IT industry. But more information on individuals and companies was put in the cloud, and concerns began to think about how secure the cloud environment was. Despite cloud surrounding structures, enterprise users still do not want to expand their business in the cloud. Security reduces the growth of cloud computing and continues to spread the market with complexity with data privacy and data protection. The security of cloud computing has constantly been an significant aspect of improved quality of service from cloud service providers. Data storage in the cloud has a problem related to data security. However, cloud computing construct many new security challenges which have not been well examine. In order to ensure that the user's data in the cloud is secure, we have proposed an effective mechanism with a distinctive feature of data integrity and privacy. This paper focusing on problems relating to the cloud data storage techniques and security in virtual environment. We recommend a method for providing data storage and security in cloud using public key Cryptosystem, which uses the concept of the modified RSA algorithm to provide better security for the data stored in the cloud. </span>

Reeta Sony A.L - National Law University, New Delhi, India. E-mail:reeta.sony@nludelhi.ac.in.Sri Krishna Deva Rao - Professor, National Law University, New Delhi, India. E-mail: psrikrishnadevarao@gmail.com.Bhukya Devi Prasad - Council of Scientific and Industrial Research, New Delhi, India. E-mail: bdeviprasad@csir.res.in. Cloud computing refers to anything that involves delivering hosted services over the Internet. It is fast, cheap, flexible and elastic in nature. In spite of its benefits, cloud computing raises risks for data protection and privacy. One key issue presented by cloud computing is the fact that it changes our thinking of what we consider to be "our data" Data is no longer physically stored on a specific set of computers or servers, but is rather geographically distributed. The globalised nature of cloud computing poses a challenge for personal data protection, which requires a clear location for personal data, an identification of the processor and a responsible individual for data processing. Cloud data can be misused and/or shared with third parties without prior knowledge or consent of the data owner. The direct participation of an individual in transborder data transfer, third party participation in data storage, the processing and transmission of dataand, finally, negligence of data protection due diligence from cloud service providers, makes data protection and privacy laws more relevant. The recent PRISM surveillance programme scandal at the US National Security Agency (NSA) demonstrated the privacy risks that citizens around the world take on when their personal informa­tion is stored and processed in the cloud. This situation requires awell-established techno-legal solution along international standards. India, unlike the European Union, has no dedicated regulatory framework to deal with privacy and personal data protection. Although cloud computing is still in its initial stages in India, existing laws for people who are currently using facilities offeredby cloud service providers are extremely inadequate. However, cloud computing requires legal protection in India under the country's data protection laws, privacy laws and data breach laws, which must meet "international standards'! It is the right time for the Indian government to enact appropriate regulatory frameworks to protect personal data and privacy in the cloud era. The overall objective of this paper is to understand the impact of cloud computing on privacy and personal data protection and to analyse present legal frameworks governing privacy and personal data protection in India and Europe.

The blistering rise of cloud computing has created tremendous opportunities for large-scale storage and processing of data at its disposal, but it has put some great strains in terms of analytics and security management in the cloud. The volume, velocity, and variety of cloud-based data overwhelm traditional data analytics models, and traditional security frameworks are subject to increasingly intelligent attacks. The use of Artificial Intelligence (AI) supports cloud-based locations in addition to new possibilities of increasing analytics and data protection. This paper examines how data analytics and cloud-based security systems integrate artificial intelligence (AI)-driven algorithms such as machine learning, deep learning, and reinforcement learning. A comparative study of AI-based strategies over the conventional methods illustrates that of predictive accuracy, identification of anomalies, real-time decisions, and automated responses to threats. In addition, the study points out important issues linked to the domain, including biased algorithms, computational demands, and privacy, as well as directions that may be taken further in the future, including federated learning, edge-AIN, and quantum-enhanced cryptography. The results indicate that AI not only enhances trustworthiness levels of cloud ecosystem data analytics but also introduces proactive and flexible security systems, which foster trust, compliance, and resilience in digital networks. This paper adds value to the scholarly and practical knowledge through the presentation of an AI-driven framework that confronts the twofold path to analytical efficiency and data security in modern cloud computing.

Cloud computing and big data: Technologies and applications

Cloud computing is the present technology which is gaining greater attentions. Nowadays, among all the technologies that includes the network security, data protections, virtualization security, application integrity and identity management, the cloud is the most essential and key aspect. Among all the above mentioned issues, data protection is one of the most important security element because organizations cannot transfer their data to the remote machines as there is no guarantee of data protection by the cloud service providers. Many techniques are already available to protect the data in cloud. Though there are many number of techniques implemented to have focus on security of data but still some challenges persist. Cloud computing solves not only the computing problems but also caters loads of data with software updates etc. The user will be confident in utilising the cloud sources only if there is an appropriate collaboration between cloud client and cloud service provider. The most popular security techniques include SSL (Secure Socket Layer) Encryption, Algorithms like AES, Blowfish, DES, RSA, Cloud Computing, and Data Security. This paper mainly focus on how to analyse and evaluate the most important security encryption algorithms for data protection in cloud computing. Furthermore, this paper also discusses about some of the new security techniques for data protection which will be recommended in order to have improved security in cloud computing. Keywords: Cloud, Data Protection, Security, Asymmetric Algorithms, Symmetric Algorithm.

Cloud computing is a technology that allows users to access shared computing resources over the internet on demand, and it is an internet-based model for handling, storing, and processing data. It develops and deploys flexible enterprisewide operations on the cloud platform. In cloud we store, manage and process data on remote server. Many industries, such as banking, education the cloud due to the efficiency of services provided by the pay-per-use pattern based on the resources such as processing power used, transactions carried out, bandwidth consumed, data transferred, etc in cloud computing No experts required for hardware and software maintenance. Even No server space required. The cloud is provide better data security. Infrastructure as a Service (IaaS), Software as a Service (SaaS), and Platform as a Service (Platform as a Service) are three types of cloud computing services. This research paper analyses the cloud computing Architecture, different Deployment and service model and research technologies.

Cross-border data flows management and privacy protection are placed high in the international digital agenda due to unprecedented growth in the volume and pace of data collection, processing, storage and transfer globally. Despite the high importance of data flows regulation and its serious influence on all enterprises involved in digital economy, there is little research conducted in Russia and systemizing the national strategies in this sphere of regulation. The article provides an overview of the existing approaches of different countries to data protection, transfer (cross-border included) and storage, analyses the impact of regulation on international trade flows, and develops proposals for possible measures to reduce costs for companies in the digital age. The research discovers that today most countries of the world regulate personal data and other categories of sensitive data flows through the introduction of either a separate law or data protection provisions in the relevant sectoral laws. The countries’ approaches range from a complete ban on the cross-border transfer of all or certain categories of data to foreign countries to complete liberalization in this area. The most common approach is the introduction of one or several restrictions from the set of measures related to cross-border data transfers: data localization requirement; limitations on the number or type of countries to which sensitive data can be transferred without additional requirements; and the requirement of the personal data subject’s consent or responsible public authorities’ permission.

In view of the continuous progress of current science and technology, cloud computing has been widely used in various fields. This paper proposes a secure data storage architecture based on cloud computing. The architecture studies the security issues of cloud computing from two aspects: data storage and data security, and proposes a data storage mode based on Cache and a data security mode based on third-party authentication, thereby improving the availability of data, from data storage to transmission. Corresponding protection measures have been established to realize effective protection of cloud data.

Cloud computing has created a dramatic change in the banking sector. It is now possible to do cost-efficient, scalable, and high-performance online transactions using the applications of cloud computing. In addition to improving data storage, processing speed, and security, cloud computing reduces costs used in infrastructure. High latency, security risks, and compliance issues mar the traditional banking systems. These limitations made traditional banking inefficacious for recent financial applications such as High-Frequency Trading. This paper proposes a secure and efficient cloud-based high frequency trading (HFT) system based on Lattice-Based Post-quantum Cryptography (LBPQC) and Partially Homomorphic Encryption (PHE) for the provision of more secure transactions. The system minimizes both latency and computational expenses, thereby facilitating real-time executions while improving trade precision by 15% and reducing security breach chances by 20%. AI-driven compliance automation and anomaly detection are also complemented into the model for regulatory compliance. Much higher data protection as well as efficiency in the trade, and threat detection are possible with the proposal that will ensure effective and secure banking infrastructure for any cloud financial activity.

Most of the various sectors in today’s life such as bank, transport, voting, health, electricity, etc., are currently digitalized. In our research paper, we have surveyed the voting system and explored the existing drawbacks of the voting system concerning security and malfunction. The demerits in the existing schemes include less data security, vote modification, man in the middle attack, masquerade attack, denial of service attack, impersonation attack, etc. Such attacks can compromise security and allows attackers to modify the results. To resolve the above-mentioned issues as well as the attacks, this research paper proposes a protocol to overcome security-based issues. In the proposed system, a secure online e-voting system is developed for end-to-end users to avoid misappropriation on the vote during the result publication in India or any other country. The proposed E-Voting Cloud System (ECS) system has three phases: The first phase is the registration phase, the second phase is vote polling, and the third phase is result announcements. In the proposed system, the election commission of India can search and verify the vote data through cloud computing. For a detailed description of our proposed protocol, a cube data storage structure and user differentiated system are first implemented. Based on the cube data structure and user differentiated system model, the proposed protocol helps to store voter data in the cloud with the encrypted model and ECS. Finally, the candidate can decrypt the data using their key. The people can verify the result announced by the ECS. The performance analysis clearly shows that our proposed system is highly secure when compared to the existing system. Using the proposed work, secure data transfer can be performed in an efficient way for online e-voting applications.

PurposeThe purpose of this paper is to discuss the latest information on cloud computing in a library context.Design/methodology/approachThe paper adopts an investigative approach including literature review and vendor‐provided information.FindingsCloud computing is both a trend and technology to deliver software and hardware as a service, not as a product. It involves a centralized data center, virtual server space, and secure transfer of data over the internet. The alleged advantages of cloud computing include low cost to own (CTO), agile updates, openness, zero initial investment, just to name a few. Lately library system vendors have begun to deliver cloud computing options. For instance, Ex Libris will release Alma in early 2012. It is an Integrated Library System with a discovery layer based on cloud computing. Amazon (Elastic Compute Cloud called Amazon EC2) and other vendors also offer virtual servers for cloud computing and charge customers by hours, usage, and capacity. If this trend continues for the next several years, it is just a matter of time before librarians will face the decision as to whether they should move into compute cloud.Originality/valueThe paper discusses this new trend, focusing on the pros and cons of moving into cloud computing for libraries.

The real-time and reliability of data transfer used in operation control system of high-speed train are studied in this paper. Reliability of data transfer is realize by redundant data and redundant verify. So It is contrary with real-time. To weaken their incompatibility, a new design is proposed in this paper. Both redundant methods in hardware and software, and mechanism of redundant verify in execution of operation control are adopted to achieve high system reliability. On the other hand, normal channels is ensured by method of timer that is used to test state of network, and data transfer time is limited by the method of software setting limit to guarantee high real-time of date transfer. Finally the design presented in this paper is proved to be practical by computer experiment, and this achieves the purpose of anticipation.

With the development of distribution network, the amount of data and computation generated by network edge devices increases dramatically, which brings pressure on data storage, cloud computing and transmission bandwidth. The traditional cloud computing model is difficult to guarantee the real-time performance of data analysis, processing and response, which makes the non-real-time performance of information flow directly affect the stability of energy flow and the reliability of control. According to the requirements of real-time, data security and network bandwidth of active distribution network, this paper proposes a collaborative model of edge computing and cloud computing for active distribution network. Through the analysis of power consumption data, it is verified that the active distribution network based on edge computing can realize the local optimization of storage and processing data of edge nodes, improve the processing efficiency, ensure the real-time data analysis and processing.

This study focuses on the data protection of Indonesian citizens in transborder personal data transfers between Indonesia and Japan, which is increasingly relevant in the era of global connectivity and digital advances. Concerns about protection of personal data and security of personal data is increasing following existing progress. This research uses a comparative juridical approach, which allows for a comparison between the legal and regulatory frameworks protecting personal data in the two countries and conducts a comparative study of the two principles. The findings from this study show that Indonesia and Japan have implemented laws to protect the personal data of their citizens. Although there are similarities in the protection of personal data, there are differences in the mechanisms governing the requirements for transborder transfers of personal data between the two countries. This study uses a descriptive-analytic method to provide an overview and analysis of the application of regulations based on applicable legal provisions. The main objective is to analyze the differences and similarities between the two laws to draw general conclusions regarding the approaches and rules applied to the protection of personal data in Indonesia and Japan. Thus, this research provides important insights into the safeguarding of personal data in the context of transborder data transfers between the two country.This study focuses on the data protection of Indonesian citizens in transborder personal data transfers between Indonesia and Japan, which is increasingly relevant in the era of global connectivity and digital advances. Concerns about protection of personal data and security of personal data is increasing following existing progress. This research uses a comparative juridical approach, which allows for a comparison between the legal and regulatory frameworks protecting personal data in the two countries and conducts a comparative study of the two principles. The findings from this study show that Indonesia and Japan have implemented laws to protect the personal data of their citizens. Although there are similarities in the protection of personal data, there are differences in the mechanisms governing the requirements for transborder transfers of personal data between the two countries. This study uses a descriptive-analytic method to provide an overview and analysis of the application of regulations based on applicable legal provisions. The main objective is to analyze the differences and similarities between the two laws to draw general conclusions regarding the approaches and rules applied to the protection of personal data in Indonesia and Japan. Thus, this research provides important insights into the safeguarding of personal data in the context of transborder data transfers between the two country.