A Dream Come True: Deletable Content in Immutable Storage.

Transaction Data: Commercial Transaction Surveys and Test Market Data

In this paper, we propose a security framework, looking at different policies for data access control in the mobile environments. We have started with extending the Platform for Privacy Preferences (P3P) policy for controlling the data access. The aim is to modify the P3P policy and to use it in the security capsule of a mobile handset. The service provider can publish the P3P policy in the WebServices and request the mobile client for the user preferences. With the introduction of P3P policy into the mobile device the access to the data is controlled including user preferences and identity mapping. Service provider data will always be encrypted and successful decryption will be a big challenge. Further we looked at the extensible Access Control Markup Language (XACML) policy as it is the way forward for the mobile environment and XACML is the latest policy that is operational smoothly in the mobile environment. Though XACML is a rich framework, it intentionally does not address how to preserve the privacy of authorization entities. For this, we require well-defined trust relationships between the participants, but first time business partners may not have pre-existing relationships. Therefore, a mechanism for gradual building of trust is needed and the security capsule that is presented in this work will provide this. This paper identifies the steps involved in performing transactions with the service provider through the retrieval of policy information and hence proposes an architecture that verifies the data access control.

Surgical Residency Programs Should Leverage Recent Advances in National Policy, Real-World Data, and Public Opinion to Improve Post-Surgery Opioid Prescribing.

The Internet of Things (IoT) connects many objects and allows continuous communication and data sharing has emerged as a revolutionary technology. However, expanding IoT devices has raised concerns regarding data security and access control. Traditional access control mechanisms face challenges in managing access rights, particularly in scenarios where multiple users with the same roles try to access several resources which may lead to conflicting roles. Additionally, there is also an overhead of system performance using traditional approaches. In existing studies, the main problem of conflict roles is not addressed or not even identified appropriately. This paper proposes a framework to address these challenges using blockchain technology and role-based access control with a smart contract implementation on the hyperledger fabric framework. The proposed methodology introduces a role management system that resolves conflicts based on predefined rules and user preferences. It employs a consensus mechanism to determine access permissions, ensuring fairness and accountability. The findings demonstrate that applying the suggested framework eliminates conflicting problems, improves system security and also provides better results in response times of twelve seconds on average for thirty-five concurrent user requests. It also provides a secure and transparent access control framework which improves response time and provides security based on roles.

In this paper, we introduced a novel storage architecture "Unified Storage Network", which merges NAC(Network Attached Channel) and SAN(Storage Area Network), and provides the file I/O services as NAS devices and provides the block I/O services as SAN. To overcome the drawbacks from FC, we employ iSCSI to implement the USN(Unified Storage Network). To evaluate whether iSCSI is more suitable for implementing the USN, we analyze iSCSI protocol and compare it with FC protocol from several components of a network protocol which impact the performance of the network. From the analysis and comparison, we can conclude that the iSCSI is more suitable for implementing the storage network than the FC under condition of the wide-area network. At last, we designed two groups of experiments carefully.

This paper presents early stage findings from a research project that explores whether the provision of data access addresses concerns that have emerged with regards to data collection by private and public actors. Using the recent right to data access secured by the European Union’s General Data Protection Regulation (GDPR) as a point of departure, I examine Facebook and Twitter’s response to these regulations through the lens of their data access policies and processes. I analyse what sort of data is made available and assess what benefit the public gains from having access to their social media data. I then offer a conceptual intervention through a comparative analysis of the divergent approaches two jurisdictions take to data access. I compare the GDPR with an ongoing debate around the introduction of a consumer data access right into Australian law and analyse how these divergent legal traditions and public discourses alter the conceptualisation and enacting of the data access right (and digital rights more generally). This paper provides a timely examination of a right that has emerged in response to the increased datafication of society. As well as offering a detailed analysis of how social media platforms have responded to the data access provisions within the GDPR, the comparative analysis of the EU and Australia shows that significantly different legal foundations can animate this right, ultimately presenting two starkly different visions of internet users as either consumers or citizens.

In modern healthcare, providers increasingly use cloud services to store and share electronic medical records. However, traditional cloud hosting, which depends on intermediaries, poses risks to privacy and security, including inadequate control over access, data auditing, and tracking data origins. Additionally, current schemes face significant limitations such as scalability concerns, high computational overhead, practical implementation challenges, and issues with interoperability and data standardization. Unauthorized data access by cloud providers further exacerbates these concerns. Blockchain technology, known for its secure and decentralized nature, offers a solution by enabling secure data auditing in sharing systems. This research integrates blockchain into healthcare for efficient record management. We proposed a blockchain-based method for secure EHR management and integrated Ciphertext-Policy Attribute-Based Encryption (CP-ABE) for fine-grained access control. The proposed algorithm combines blockchain and smart contracts with a cloud-based healthcare Service Management System (SMS) to ensure secure and accessible EHRs. Smart contracts automate key management, encryption, and decryption processes, enhancing data security and integrity. The blockchain ledger authenticates data transactions, while the cloud provides scalability. The SMS manages access requests, enhancing resource allocation and response times. A dual authentication system confirms patient keys before granting data access, with failed attempts leading to access revocation and incident logging. Our analyses show that this algorithm significantly improves the security and efficiency of health data exchanges. By combining blockchain's decentralized structure with the cloud's scalability, this approach significantly improves EHR security protocols in modern healthcare setting.

The critical need for higher power efficiency and bandwidth transceiver design has significantly increased as mobile devices, such as smart phones, laptops, tablets, and ultra-portable personal digital assistants continue to be constructed using heterogeneous intellectual properties such as central processing units (CPUs), graphics processing units (GPUs), digital signal processors, dynamic random-access memories (DRAMs), sensors, and graphics/image processing units and to have enhanced graphic computing and video processing capabilities. However, the current mobile interface technologies which support CPU to memory communication (e.g. baseband-only signaling) have critical limitations, particularly super-linear energy consumption, limited bandwidth, and non-reconfigurable data access. As a consequence, there is a critical need to improve both energy efficiency and bandwidth for future mobile devices.;The primary goal of this study is to design an energy-efficient reconfigurable mobile memory interface for mobile computing systems in order to dramatically enhance the circuit and system bandwidth and power efficiency. The proposed energy efficient mobile memory interface which utilizes an advanced base-band (BB) signaling and a RF-band signaling is capable of simultaneous bi-directional communication and reconfigurable data access. It also increases power efficiency and bandwidth between mobile CPUs and memory subsystems on a single-ended shared transmission line. Moreover, due to multiple data communication on a single-ended shared transmission line, the number of transmission lines between mobile CPU and memories is considerably reduced, resulting in significant technological innovations, (e.g. more compact devices and low cost packaging to mobile communication interface) and establishing the principles and feasibility of technologies for future mobile system applications. The operation and performance of the proposed transceiver are analyzed and its circuit implementation is discussed in details. A chip prototype of the transceiver was implemented in a 65nm CMOS process technology. In the measurement, the transceiver exhibits higher aggregate data throughput and better energy efficiency compared to prior works.

There is a significant rise in vehicle-to-vehicle (V2V) communication for intelligent transportation systems such as reducing road accidents, traffic congestion, and optimal route planning. The main objective of the V2V communication is to provide real-time monitoring data from vehicles sensors to other vehicles. However, the attackers can exploit this communication by forging the controller area network (CAN) protocol and injecting malicious traffic. In this context, the vehicles mislead by false update messages and alerts. To overcome this issue, this paper presents the artificial intelligence (AI) and blockchain-based proposed architecture on a 6G network. The proposed architecture is examined with a car hacking dataset, wherein the sensors of vehicles are communicating with each other for data sharing. For that, we have adopted an AI algorithm, i.e., random forest (RF), to classify normal and malicious data traffic. Further, edge nodes are considered to reduce the computation of AI algorithms and faster accessibility of vehicular data. Furthermore, incorporating inter planetary file system (IPFS) and a 6G network makes the proposed architecture cost-effective and scalable. Finally, the architecture is evaluated against performance metrics such as accuracy, latency, and scalability. The results demonstrate that the RF surpasses the other algorithms in terms of accuracy and achieves 97% accuracy.

Global Antibiotic Consumption in Humans, 2000 to 2018: A Spatial Modelling Study

Routing or forwarding information, such as the location of incidents and victims in a disaster, is significantly important for quick and accurate incident response. However, forwarding such information in disaster areas has been a challenging task for the Wireless Sensor Network as existing networks are affected (destroyed or overused) the disaster. Opportunistic information forwarding can play a vital role in such circumstances. Existing opportunistic routing protocols require huge message transmissions for cluster restoration, which is not energy efficient and results in packet loss. Hence, this paper introduces an energy efficient and reliable opportunistic density cluster-based routing protocol that opportunistically transmits data using a density-clustering protocol for emergency and disaster situations. Simulation results show that the proposed protocol outperforms some existing and well-known routing protocols in terms of network energy consumption, throughput and successful data transmissions.

With the continuous development of application requirements and technologies, the differences between distributed storage architectures and traditional storage architectures are becoming increasingly apparent. The distributed storage architecture not only has the advantages of small fault impact range, high scalability, and large throughput, but also is widely used in many application systems. In the transaction data management system based on the distributed storage architecture, a large amount of transaction data information is transmitted and stored using the distributed storage architecture, which can effectively ensure the accuracy and consistency of the data. At the same time, the stability of the transaction data management system will be enhanced.

This paper describes the design and implementation of DataX, middleware for enabling remote database access from heterogeneous thin clients. Unlike existing commercial offerings that require a standalone database on the client side, DataX partially replicates the server database in the form of XML, using a weak consistency criterion. It also adapts data replication to device characteristics and user preferences. It employs a per-device renderer to present data in a form layout, making the data access semantics separate from user interaction details and independent of the device type. It allows for rapid development of end-to-end solutions and application portability across multiple client and server platforms.

The daily growing volume of electronic data poses challenges to traditional ways of organizing data storage, processing, and analysis. The feasibility of further research in this area is confirmed by the high demand for data storage and analytical data processing services. The article is devoted to the study of big data security issues. Despite earlier technological capabilities, the term or Big data, has only been actively used in the last decade. This term, originally coming from the exact sciences, programming, has caused and continues to cause a lot of controversy: what exactly is meant by Big data. In the course of the work, the specifics of Big data were described, the main characteristics of Big data were highlighted, and modern approaches to big data protection were analyzed. The role of Big data in the development of the digital economy and the need to address issues of their legal regulation are outlined. The following problems of Big data protection were formulated: limiting the speed of data access, organizing access via network protocols through General-purpose networks. A review of known developers of protection methods in these areas and recommendations for their application is made. Problems of legal regulation of Big data are revealed. The complexity of the problem, the need for multi-level protection and the use of modern methodological, theoretical and software developments from the first steps of working with Big data are shown.

Throughout the last years, there is an increasing interest of the geoscientific community in using terrestrial gravimetry as an integrative and non-invasive method for observing mass change and mass redistribution in the environment due geophysical processes. The nature of the observed processes and the need for nearby data collection often require the gravimeters to be installed at remote field sites. In contrast to classical deployment at permanent observatory sites, this often is a challenge because there are three main requirements to be fulfilled for continuous high-quality operation of the gravimeter: electrical power, stable site conditions, and data connection. Whereas the latter can usually be accomplished by wireless solutions, the second requirement is more demanding as it requires an adequate design of a gravimeter enclosure and a stable pillar, while the first requirement so far has been practically insolvable in the absence of a power line. Here, we present the prototype of a mobile field container for gravity monitoring that fulfils all above requirements: the gPhone-solar-cube. The container consists of a cubic steel container as used by ships and trucks with edge length of about 2 meters. We optimized all components to host a continuously operating gPhoneX. Components include temperature shielding, ventilation, solar panels, power management and monitoring, storage batteries and an integrated backup generator to guarantee self-sufficient power supply, data loggers and wireless data transfer components. Furthermore we developed a new type of gravimeter pillar which is simple to install and to remove, without connection to the container floor to avoid vibration transfer. The pillar is large enough to accommodate two CG-6 field gravimeters, next to the gPhoneX. Other instruments integrated are a complete weather station and a cosmic ray neutron probe. The gPhone-solar-cube has been installed in the Ore mountains, Germany, as a continuously operating gravity reference station for time-lapse field surveys with CG-6 gravimeters to assess water storage changes in the course of heavy precipitation events. After 6 months of field operation, all requirements concerning data transmission, remote access, energy consumption, pillar stability and reliable gravity data were continuously met.