Party Service Providers Research Articles

ConsenTrack—Blockchain Based Framework for Open Banking Consent Data Tracking

Consent management is most critical part of open banking. Customers, banks, third party service providers, regulators are various parties involved into this process. The recent data shows that open banking has not been greatly accepted yet by customers to the fullest capability. Recent surveys conducted on usage of open banking indicates the discomfort in customer mind about data sharing. Blockchain based framework implementation can bring the required transparency into the consent management process. To achieve that Blockchain technology needs to be embraced by banks and Third party providers (TPPs) to provide customers the open banking services in transparent manner. A blockchain based framework which can be easily integrated into banks’ existing technology landscape thus becomes need of the hour. Consortium permissioned blockchain based framework implemented in Corda is suggested in this paper which addresses challenges faced by customers and it tracks data sharing violation for communicating to customers. Data sharing between bank and TPPs happen as node to node transaction and regulatory bodies can have tracking of every such transactions as owner of Notary node. Based on the legal contract between bank and TPP, framework compares and finds out in real time if any data sharing violation happening. Real-time tracking of data sharing violation and communication to customer provides transparency into the framework which will boost customer confidence and trust into the system. Regulatory bodies need to actively own this part to share information with customers about the data handling if there is any violation.

The Role of DLT for Beyond 5G Systems and Services: A Vision

Security, privacy, and trust are the key factors to unlock the full potential of future communication as beyond 5G and 6G systems enable new and more disruptive business models involved with multiple stakeholders, including mobile network operators, mobile virtual network operators, infrastructure providers, third party service providers, policy makers, end-users, and etc. The huge set of data, interaction process, and service management across these stakeholders require new technologies that can help the telecom industry to manage various data related to users, interaction process, and services in a way that is immutable, transparent, and secure with reduced OPEX to stay ahead of the market and to meet the evolving horizontal and vertical service and security requirements. This article presents an overview of the more promising key enablers, such as blockchain, permissioned distributed ledger technologies, and smart contract that can tackle the challenges of data security, privacy, and trust management in various potential beyond 5G and 6G application scenarios.

THE ROLE OF THE GOVERNMENT IN PROVIDING CONSUMER PROTECTION IN THE EXECUTION OF THE SALE AND PURCHASE OF GOODS THROUGH THIRD PARTIES

Implementation sell buy more advanced make humans too _ do developments inside _ implementation trade . The previous trade done only with two party , now sometimes man need party third in trade . Party third this is what it is liaison between party seller with party buyer . Third Party Service Providers must provide consumer protection . The role of government is to hold accountable for the actions of parties third . them through enforcement actions, regulatory requirements, and vetting. Producer must request party thirdly to comply with consumer protection requirements for the functions performed.           Method research For study This is with use method study normative juridical where more study law from various studies bibliography and research existing regulations . _ Government Role in transaction trades made  through party third only as supervision and coaching course , but in supervision and coaching that , the government give various type mandatory regulations party followed  third that so you can ensure maintenance protection consumer .

Your purpose or mine Perspectives on data in innovation ecosystems

Innovation in ecosystems becomes increasingly attractive for incumbents as the technical complexity increases and complementarities play an increasingly important role for global competition. Digital platforms are becoming one of the primary means to that end, where incumbents can gain scale effects and reap the benefits of the creative crowd while maintaining ownership of the core product. But a lion's share of these platforms hinges on the accessibility of data, and the view of the value of this data differs among actors in the system. This paper accounts for a case study of two type actors in an innovation ecosystem: the core actor (OEM) and the peripheral actor (third party service provider). From interviews with representatives of these actors, we find that their perspectives on the data and its usefulness outside its intended context differ. We label the perspectives purposive and multi-contextual; we formulate their descriptions and outline managerial implications. We argue that these differing perspectives are at the crux of establishing innovation capabilities in ecosystems based on digital platforms.

THE ROLE OF THE GOVERNMENT IN PROVIDING CONSUMER PROTECTION IN THE EXECUTION OF THE SALE AND PURCHASE OF GOODS THROUGH THIRD PARTIES

Implementation sell buy more advanced make humans too _ do developments inside _ implementation trade . The previous trade done only with two party , now sometimes man need party third in trade . Party third this is what it is liaison between party seller with party buyer . Third Party Service Providers must provide consumer protection . The role of government is to hold accountable for the actions of parties third . them through enforcement actions, regulatory requirements, and vetting. Producer must request party thirdly to comply with consumer protection requirements for the functions performed.           Method research For study This is with use method study normative juridical where more study law from various studies bibliography and research existing regulations . _ Government Role in transaction trades made  through party third only as supervision and coaching course , but in supervision and coaching that , the government give various type mandatory regulations party followed  third that so you can ensure maintenance protection consumer .

Choice of O2O Food Delivery Mode: Self-built Platform or Third-Party Platform? Self-Delivery or Third-Party Delivery?

This article examines the optimal choice strategy of online-to-offline (O2O) food delivery mode for a merchant. In practice, there are four modes that are widely adopted by merchants: 1) The self-built platform and self-delivery (Mode SS); 2) the self-built platform and third-party delivery (Mode ST); 3) the third-party platform and self-delivery (Mode TS); and 4) the third-party platform and third-party delivery (Mode TT). First, we establish the merchant's profit model under each mode. Then, by comparing the merchant's profits under different modes, we analyze the optimal choice strategy of food delivery mode for the merchant. The results show that when third party service providers provide delivery services (TPSPs), if the advertising effect generated by the self-delivery is large and the consumer benefit brought by the third-party platform's promotion is small, the merchant should choose SS; if the advertising effect and the consumer benefit are both small (large), the merchant should choose ST (TS); if the advertising effect is small and the consumer benefit is large, the merchant should choose TT. Furthermore, from the perspective of the O2O food delivery system, TS (TT) is the best mode if the advertising effect is large (small).

Cloud Dynamic Scheduling for Multimedia Data Encryption Using Tabu Search Algorithm

The cloud computing is interlinked with recent and out-dated technology. The cloud data storage industry is earning billion and millions of money through this technology. The cloud remote server storage is on-demand technology. The cloud users are expecting higher quality in minimal cost. The quality of service is playing a vital role in any latest technology. The cloud user always depends on thirty party service providers. This service provider is facing higher competition. The customer is choosing a service based on two parameters one is security and another one is cost. The reason behind this is all our personal data is stored on some third party server. The customer is expecting higher security level. The service provider is choosing many techniques for data security, best one is encryption mechanism. This encryption method is having many algorithms. Then again one problem is raised, that is which algorithm is best for encryption. The prediction of algorithm is one of major task. Each and every algorithm is having unique advantage. The algorithm performance is varying depends on file type. The proposed method of this article is to solve this encryption algorithm selection problem by using tabu search concept. The proposed method is to ensure best encryption method to reducing the average encode and decode time in multimedia data. The local search scheduling concept is to schedule the encryption algorithm and store that data in local memory table. The quality of service is improved by using proposed scheduling technique.

Privacy Preserving Location-Aware Personalized Web Service Recommendations

The personalized Web service recommendation based on Quality of Service (QoS) is gaining increasing popularity due to its promising ability to help users find high quality services. Studies suggest that it is beneficial to use Collaborative Filtering (CF)-based techniques to facilitate Web service recommendations which can achieve high accuracy in predicting the QoS for unobserved Web services. With the QoS, location of users and Web services has been another significant factor in predicting the QoS values. The more factors that are available to the service providers, the more accurate predictions can be generated. However these factors are privacy sensitive and therefore it is risky to disclose them to any third party service provider. To address this challenge, in this paper we develop a privacy preserving protocol to predict missing QoS values and thereby providing Web service recommendations based on past QoS experiences and locations of users. Our protocol is able to achieve user privacy by means of encrypting the QoS and location as well as to select suitable Web services for users without disclosing any private information. We conduct extensive experimental analysis on publicly available data sets and prove that our method is both secure and practical.

Behavior and feedback based trust computation in cloud environment

Cloud Computing has become a promising paradigm to deliver different computing resources and services over the Internet on demand. The cloud users have to rely on the third party service providers for accessing services. With an increase in available cloud services, selecting an appropriate cloud service provider to deliver the service securely will be always challenging for users. The trust measure plays an important role while selecting proper service providers to handle user’s requests in the cloud environment. Hence, evaluation of the trustworthiness of the cloud service provider before selecting it to deliver the service has become an important requirement in the cloud environment. The paper presents a method to evaluate the trustworthiness of cloud service provider on the basis of it’s behavior and feedback given by the users. The various Quality of Service attributes are considered for computing behavioral trust values. The different parameters from the service level agreement are used to maintain the feedback and compute the feedback trust value for the service provider. The trustworthiness of the cloud service provider is judged by computing the cumulative trust, which is calculated using behavioral trust and feedback trust. Also, the proposed model includes a mechanism to judge the genuineness of feedback submitted by the users. The proposed method is compared with Evidence Based Trust Model and Enhanced QoS based Model to evaluate the performance in terms of accuracy and efficiency.

Proof of outsourced encryption: cross verification of security service level agreement

With the popularity of cloud and edge computing, user data is often stored at third party service providers. Restricted by the available resources, end users may need to outsource the data encryption operations. However, the security service level agreement (SSLA) are usually hard to verify since it is fairly hard for end users to learn the data status at the service providers. In this paper, we investigate the proof of outsourced encryption problem. We first define the expected properties of the proof of encryption (PoE) mechanisms. Depending on the negotiated encryption algorithm in SSLA, we design two verification mechanisms so that end users can query encryption results at service providers to verify the enforcement of SSLA even when they are not aware of the keys. We formally analyze the protocols with BAN logic. Simulation and experiments show that our approaches can detect a dishonest service provider with high probability.

Identifying and Isolating Zombie Attack in Cloud Computing

The cloud computing architecture is a berth in which third party, virtual machine and cloud service providers are involved in data uploading and downloading. A major challenge in this architecture, however, is the security of the data as there exist various forms of attacks from malicious peopleand devices. Among these security attacks, the zombie attack is the most advance type of attack. The zombie attack reduces network performance in terms of delay and bandwidth consumption. With zombie attack, some malicious users may join the network which, in turn takes off the data of legitimate users and at the same time enable zombie nodes to communicate with a virtual machine on behalf of the legitimate user. In this paper, a technique based on strong authentication which, is able to detect malicious users from a network and isolates them from the cloud architecture is proposed.

Determination and Metrics for Emerging Risks Identification DEMETER: Final Report

Identification of emerging risks in the food chain is essential if EFSA is to anticipate future needs in risk assessment, in relation to both data and methodology. The objectives and research proposed in the DEMETER project were specifically designed to support current (and future) EFSA procedures for emerging issue and risks identification by providing community resourcesto allow EFSA and EU Member State authorities to share data, knowledge and methods on emerging risks identification in a rapid and effective manner through a digital platform. To this end, an “Emerging Risk Knowledge Exchange Platform (ERKEP)” was developed as a prototype technical solution. Its design is based on a consultation on end‐users needs and the analysis of existing knowledge sharing solutions. ERKEP consists of three main components: 1) A content management system (CMS) providing the end‐user's “entry point” and Graphical User Interface (GUI) to ERKEP; 2) A web‐based data analytics platform (DAP) for sharing and executing data analytics workflows (DAWs), based on the KNIME Server infrastructure; 3) External web‐based services hosted by 3rd party service providers. Different DAWs were developed and added to the platform, these are: 1) Emerging risk identification system for the milk supply chain based on automated data retrieval; 2) NewsRadar; 3)Trending topics in news based on text mining and network analysis, and;4) Patent network analysis. Methodologies were identified to integrate social science information and data, into the emerging risk identification framework. Systematic reviews of the literature wereconducted in the areas of expert elicitation, citizen science, and behavioural science and a framework to incorporate data from Citizen Science into the EKREP platform was proposed. Finally, sustainability and maintenance of the project's outputs were conceptualized to enable use thereof beyond project DEMETER.

Analysis of Cloud Computing Security Issues and Risks

In the world of computer networking, cloud computing makes a technical shift of computing services being provided locally to being provided remotely by third party service providers. The data which was previously kept under control of users now under the control of service providers cloud computing brings many financial and functional benefits as well as serious security concerns that may threaten business continuity and corporate reputation. The definition of cloud computing is still blurry in a large part, because of the magnitude of the security risks and the virtually unlimited amount of information being published over the unsecure platform. The purpose of this paper is to assess how security risk factors are affecting the existing and prospective cloud users’ cloud usage strategies. Are they simply betting that financial benefits will surpass security risks, or are they confident that cloud providers are capable of assuring an equal or higher level of security than on-premise systems? This survey, through the examination of published materials and studies, analyzes existing issues along with available countermeasures in order to evaluate the overall assurance level of cloud security. The primary goal of the survey is to assess how security concerns have affected or will affect the respondents’ decision on adopting cloud and its services. This study includes basics of cloud computing by adding its characteristics, models and their categories. Analysis also embraced the existing security concerns faced by researchers and their imposed methodologies.

Harnessing the Full Potential of Industrial Demand-Side Flexibility: An End-to-End Approach Connecting Machines with Markets through Service-Oriented IT Platforms

The growing share of renewable energy generation based on fluctuating wind and solar energy sources is increasingly challenging in terms of power grid stability. Industrial demand-side response presents a promising way to balance energy supply and consumption. For this, energy demand is flexibly adapted based on external incentives. Thus, companies can economically benefit and at the same time contribute to reducing greenhouse gas emissions. However, there are currently some major obstacles that impede industrial companies from taking part in the energy markets. A broad specification analysis systematically dismantles the existing barriers. On this foundation, a new end-to-end ecosystem of an energy synchronization platform is introduced. It consists of a business-individual company-side platform, where suitable services for energy-oriented manufacturing are offered. In addition, one market-side platform is established as a mediating service broker, which connects the companies to, e.g., third party service providers, energy suppliers, aggregators, and energy markets. The ecosystems aim at preventing vendor lock-in and providing a flexible solution, relying on open standards and offering an integrated solution through an end-to-end energy flexibility data model. In this article, the resulting functionalities are discussed and the remaining deficits outlined.

Methodology: ssb-MASS: a single seed-based sampling strategy for marker-assisted selection in rice

BackgroundIntegrated breeding approaches such as combining marker-assisted selection and rapid line fixation through single-seed-descent, can effectively increase the frequency of desirable alleles in a breeding program and increase the rate of genetic gain for quantitative traits by shortening the breeding cycle. However, with most genotyping being outsourced to 3rd party service providers’ nowadays, sampling has become the bottleneck for many breeding programs. While seed-chipping as prevailed as an automatable seed sampling protocol in many species, the symmetry of rice seeds makes this solution as laborious and costly as sampling leaf tissue. The aim of this study is to develop, validate and deploy a single seed sampling strategy for marker-assisted selection of fixed lines in rice that is more efficient, cost-effective and convenient compared to leaf-based sampling protocols without compromising the accuracy of the marker-assisted selection results.ResultsEvaluations replicated across accessions and markers showed that a single rice seed is sufficient to generate enough DNA (7–8 ng/μL) to run at least ten PCR trait-markers suitable for marker-assisted selection strategies in rice. The DNA quantity and quality extracted from single seeds from fixed lines (F6) with different physical and/or chemical properties were not significantly different. Nor were there significant differences between single seeds collected 15 days after panicle initiation compared to those harvested at maturity. A large-scale comparison between single seed and leaf-based methodologies showed not only high levels of genotypic concordance between both protocols (~ 99%) but also higher SNP call rates in single seed (99.24% vs. 97.5% in leaf). A cost–benefit analysis showed that this single seed sampling strategy decreased the cost of sampling fourfold. An advantage of this approach is that desirable genotypes can be selected before investing in planting activities reducing the cost associated with field operations.ConclusionThis study reports the development of a cost-effective and simple single seed genotyping strategy that facilitates the adoption and deployment of marker-assisted selection strategies in rice. This will allow breeders to increase the frequency of favorable alleles and combine rapid generation advancement techniques much more cost-effectively accelerating the process and efficiency of parental selection and varietal development.

On the automation of RAN slicing provisioning: solution framework and applicability examples

Network slicing is a fundamental feature of 5G systems that allows the partitioning of a single network into a number of segregated logical networks, each optimized for a particular type of service, or dedicated to a particular customer or application. While support for network slicing (e.g. identifiers, functions, signalling) is already defined in the latest 3GPP Release 15 specifications, solutions for efficient automated management of network slicing (e.g. automatic provisioning of slices) are still at a much more incipient stage, especially for what concerns the next-generation Radio Access Network (NG-RAN). In this context, and consistently with the new service-based management architecture defined by 3GPP for 5G systems, this paper presents a functional framework for the management of network slicing in a NG-RAN infrastructure, delineating the interfaces and information models necessary to support the dynamic and automatic deployment of RAN slices. A discussion on the complexity of such automation follows together with an illustrative description of the applicability of the overall framework and information models in the context of a neutral host provider scenario that offers RAN slices to third party service providers.

DangerNeighbor attack: Information leakage via postMessage mechanism in HTML5

The postMessage mechanism in HTML5 enables webpages with different origins to communicate with each other on a hosting webpage. When the hosting webpage contains multiple receiver functions from different origins, all receiver functions can receive any messages sent to this webpage. However, if one receiver function is malicious and may deliberately eavesdrop on all messages sent to the hosting webpage, there exists a risk of information leakage. In this paper, we perform a systematic study on this new type of information leakage threat named DangerNeighbor attack, which can eavesdrop messages sent through postMessage by inserting a malicious receiver function into the hosting page. We implemented two proof of concept prototypes of DangerNeighbor attacks using malicious third party service provider and malicious browser extension, respectively.To evaluate the feasibility of DangerNeighbor attack, we study Alexa top 5000 websites and 1200 Chrome extensions, and our analysis results verify the wide existence of postMessage vulnerability in the wild. Particularly, we perform a case study of DangerNeighbor attack against the OAuth access token. We find that 39.61% of websites using Facebook OAuth and 23.38% of websites using Google OAuth may leak users’ private information. Even worse, an attacker can successfully login 11 vulnerable websites with the compromised OAuth access token. Finally, we propose two countermeasures to thwart DangerNeighbor attacks.

Conceptual oriented study on the cloud computing architecture for the full-security

Many developers have designed their own architecture for installing the cloud computing infrastructure. The existing cloud computing architectures differs in many ways. Security has been the serious issue as client related data and processing is un-dertaken using the infrastructure provided by third party service providers varies greatly. It is necessary to know the extent of inclusion of security into the cloud computing system and then find the best architecture that includes best and tight security system.In this paper, a comparison of existing architectures from the perspective of inclusion of security infrastructure within cloud computing system is presented along with a comprehensive architecture that is included with every aspect of security taking into account the most of the vulnerabilities

Can internal tobacco industry documents be useful for studying the UK alcohol industry?

BackgroundThe release of internal documents now available in the Truth Tobacco Documents Library has offered important insights into the machinations of tobacco companies. These documents potentially offer additional insights into the nature of the alcohol industry, due to co-ownership and collaborative working across industries. This proof of concept study aims to build on the few examples of internal tobacco company documents being used to study alcohol industry activities, to identify the scope of information available on the UK alcohol industry.MethodsWe identified the principal company names of the major national brewers, including predecessor company names, until the late 1990s, contemporaneous to the bulk of the tobacco documents. Using these names as initial search terms, we searched the Library to identify relevant material. Documents returned were then analysed for evidence of alcohol industry connections to the tobacco industry in the UK.ResultsWe found evidence of significant relationships between the two industries including previously unidentified data on co-ownership and cross industry shareholding; informal help-seeking between sectors; collaboration on issues of common interest; and cross industry ties via third party service providers, membership of common organisations and participation in shared events and platforms.ConclusionsThese findings call for further research to analyse in greater depth the information identified here, and to explore alcohol industry activities and links with tobacco companies in other national contexts. This preliminary investigation suggests there is much valuable data available in the Truth Tobacco Documents Library that can serve to guide research on the alcohol industry.

When boards use related parties: outsourcing and superannuation fund performance

AbstractSuperannuation funds heavily outsource key fund functions to service providers who play a crucial role in superannuation fund operations and affecting Australians’ retirement savings. We examine the impact of related party service provider usage and trustee‐director affiliation on investment performance. We find that for‐profit funds significantly underperform when using related party service providers. The underperformance is more severe when the board is controlled by more affiliated trustee‐directors and belongs to a vertically integrated conglomerate group. Our results raise concerns about whether recent regulatory reforms increasing trustee‐directors’ duties effectively address the conflicts of interest inherent in related party service provider arrangements.