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A Cross-Domain Authentication Scheme Based on Cooperative Blockchains Functioning With Revocation for Medical Consortiums

Regional medical consortium systems facilitates medical information sharing. However, many security issues exposed by the dominant centralized architectures, such as single points of failure, unauthorized operations and illegal access, are increasingly apparent constraints on the security and efficiency of data sharing across domains. Even more, any malicious operation detected, effective measures should be executed promptly for identity tracing. In this paper, we propose a secure and efficient cross-domain authentication scheme based on two cooperative blockchains (BCs) for medical consortium systems. Specifically, an intra-domain BC records any legal users’ registration and authentication information while an inter-domain BC is responsible for writing users’ cross-domain authentication information. In each domain, the general hospital acts as a trusted third service provider to achieve cross-chain interactions. For the entire cross-domain authentication procedure, anonymity mechanism is utilized to enhance security, and to trace malicious users, the improved chameleon hash is used in the intra-domain BC to redact the state of the user, and blacklist merkle tree is extended in the inter-domain BC to protect different domains’ services from illegal accessing. In addition, security analysis and performance evaluation are completely given to prove the superior security features and performance compared with other schemes.

Ghost imaging-based optical multilevel authentication scheme using visual cryptography

As a nonlocal imaging approach, ghost imaging is of potential significance for information security. This study demonstrates a multi-level authentication approach relying on ghost imaging and visual secret sharing. Initially, multiple standard images are divided into two shared images by utilizing a visual secret sharing scheme. One of them is used as an authentication image to the authorizer, while the spatial information of the other is encoded by the ghost imaging and loaded into the illumination patterns. As the authentication image is irradiated by the illumination patterns, high-quality image fusion is realized and an entirely distinct image from the authentication image is reconstructed. Afterward, the information authentication is attained by visual evaluation and correlation analysis of the reconstructed image and the standard image. Ultimately, the authentication image is flipped and turned to reconstruct various images for achieving multi-level authentication. This scheme is the first to implement multi-level authentication using visual secret sharing method under the framework of ghost imaging. Simulation and experimental results validate that the technique features strong robustness, high security, and strong recognition ability, which provides a new way for optical authentication.

Application of Blockchain Technology in Fresh Food Supply Chain Under COVID-19 Environment in China

Food safety is a vital issue of public and social concern. Since the outbreak of the COVID-19, frozen fresh food has become the hardest hit area for the spread of the COVID-19. In response to the opaque information, lack of trust, and difficulty in traceability in the fresh food supply chain, the article proposes blockchain technology to address the problem. This paper defines a blockchain technology use case and a quick reference guide to design a blockchain network for the food industry. It improves transparency throughout the supply chain and helps reconcile the documentation and required data with legislation authorities to import cold chain products to certify the quality of the final product. The fresh food supply chain framework can ensure integrity, authenticity, and supply chain information. This design is of great significance to ensure the traceability of the fresh food supply chain.

Pharmacognostic evaluation of Artemisia maritima L. a highly medicinal specie of genus Artemisia

The light and scanning electron microscopic observations were carried out for anatomical features of leaf, pollens and powder.Microscopic studies provide useful information for identification and authentication of adulteration in A. maritima. Nutritional analysis of A. maritima revealed that life fundamental macromolecules such as carbohydrates (49.63 %) crude proteins (13.17 %) and crude fibers (21.06 %) were present in sufficient quantity while crude fats (4.11 %) reported in low quantity. The life essential elements such as Mg (9.472 ± 0.011), Ca (4.152 ± 0.135) and Fe (4.112 ± 0.002) were found in high concentration while heavy metals reported under the safety threshold of WHO. These observations favored A. maritima an alternative of food.Appreciable quantity of phenolics (17.64 ± 0.574) and flavonoids (7.67 ± 0.069) were found while qualitatively active phytochemicals were reported.The FTIR characterization of A. maritima crude powder revealed chromatogram in 3328.61 to 408.68 frequency range and 24 characteristic peaks on the basis of which different compounds of biological importance were classified. HPLC-UV technique quantifiedand identified six phenolic compounds morin,epigallocatechin gallate, catechin hydrate,ellagic acid, pyrogallol andrutin. Identification of compounds through GC–MS chromatogram revealed the presence of 46 compounds in methanolic fraction however 17 compounds of biological importance were selected.In-vitro biological evaluation of A. maritima for antioxidant, antimicrobial, antidiabetic (12.61 ± 0.113 %) and cytotoxic activities (LC50 = 20 μg/ml) suggested that methanolic fractions exhibited the highest activity as compared to chloroform and ethyl acetate fractions. The MIC values of 10 or 15 mg/ml were recorded for most of the fungal pathogens. Antibacterial activity revealed 3.75 mg/ml of MIC values against B. subtilis and 1.87 mg/ml against S. aureus, E. coli and P. aeruginosa. In-vivo biological evaluation revealed thatmaximum inhibition was observed for crude extract at 250 mg/kg body weight. The mechanism underlined in-vivo analgesic responses was carried out which revealed that naloxone (morphine and tramadol antagonist) showed no prominent effect while Glibenclamide pretreatment minutely modified the analgesic action. These observations clearly indicted the absence of opiod receptors and involvement of ATP sensitive potassium channels.

Information and Intelligence in Direct Marketing

Companies require collecting information and generating intelligence about their customers to attract, influence, and to develop relationships with them. Companies employ direct marketing channels for collecting information from customers. Although collection of information through direct marketing results in authentic information, it raises concerns about the different unfair practices followed by direct marketers. The study discusses about unfair practices adopted by direct marketers in collection of information, the issues of invasion of privacy and security of individuals, and the need for protection of consumer privacy and security. The study also focuses on the various rules and regulations formulated by regulatory bodies and governments of countries to protect customers. Different initiatives which are taken by companies to protect customers are discussed. Direct marketing channels allow companies to collect information about customers. However, companies should ensure customer privacy and security and should think about their welfare for building long-term relationships.

A coalitional security game against data integrity attacks in autonomous vehicle networks

Autonomous Vehicles (AV) possess an automated driving system that allows the vehicle to respond to external conditions and provide advanced and intelligent transportation services with limited to no human intervention. For AV, the legitimacy and reliability of sensed and transmitted data have direct influence on road network operations. For instance, the integrity of vehicle communications is vulnerable to various threats such as spoofing attacks. Due to the extremely volatile nature of AV, traditional centralized security solutions lack in flexibility and mobility support. Moreover, the very large scale of future AV networks mandates an innovative design of intelligent communications among the vehicles to identify authentic traffic information broadcasted all across the network. In this paper, we design a vehicular collaboration framework that drives the interactions among autonomous vehicles based on trustworthy communications to prevent data integrity attacks. The design involves a distributed, hedonic coalition formation game in which the vehicles evaluate their utilities according to their trust in each other and the data they transmit. The proposed vehicular coalition formation algorithm enables the vehicles to dynamically join and leave the collaborative communities based on trust updates. Vehicles' hybrid trust relationships are derived by integrating the three parameters of the REK model: Reputation, Experience, and Knowledge to optimally exploit the available information in the network and adapt the framework to different road traffic contexts. Furthermore, to protect the formed coalitions against data integrity attacks, a trust-based data aggregation procedure using Dempster-Shafer theory of evidence is adopted to limit the effect of false events on vehicles' decisions. The experimental results show that our collaboration framework is resilient to data corruption and fabrication attacks.

An Authentication and Key Agreement Scheme Based on Roadside Unit Cache for VANET

Vehicular Ad Hoc Network (VANET) is a wireless Mobile Ad Hoc Network that is used for communication between vehicles, vehicles and fixed access points, and vehicles and pedestrians. However, because of the use of open wireless channels, VANET is more vulnerable. Therefore, VANET security is critical for safe driving and user privacy protection. Authentication and key agreement are crucial for ensuring security. Numerous authentication schemes have been proposed between vehicles and roadside units (RSUs). Many solutions are authentication and key negotiation between the vehicle and a single RSU. The vehicle passing through a region needs to complete authentication and key agreement with multiple RSUs separately, which brings a great burden to the vehicle. In order to simplify the authentication process of vehicles and multiple RSUs and improve the efficiency of authentication and key agreement, an efficient authentication and key agreement scheme based on RSU cache is proposed when the vehicle moves from one RSU to another RSU region. In the proposed scheme, RSUs are divided into regions, and each region has a RSU cluster head. When the vehicle enters a certain region and authenticates with a RSU successfully, the RSU submits the authentication information to the RSU cluster head. The RSU cluster head shares the authentication information with other RSUs in the region using the shared key. Other RSUs record the authentication information in the cache. When the vehicle communicates with other RSUs, the authentication is not necessary; the session key can be negotiated by simply exchanging information. After using the cache, the calculation and communication cost of the authentication and key negotiation between the vehicle and other RSU can be significantly saved, the calculation cost is reduced by 37%, and the traffic is reduced by 35%. The random oracle model is used to prove the security of the scheme. The results revealed that the authentication overhead of the proposed scheme is considerably lower than those of other schemes. Compared with the related schemes, the computational cost of the proposed scheme is reduced by 34% on average; the communication cost is close to other related schemes. Moreover, the security analysis shows that the proposed scheme provides better security compared to other related schemes.

GPBFT: A Practical Byzantine Fault-Tolerant Consensus Algorithm Based on Dual Administrator Short Group Signatures

The practical Byzantine fault-tolerant consensus algorithm reduces the operational complexity of Byzantine protocols from an exponential level to a polynomial level, which makes it possible to apply Byzantine protocols in distributed systems. However, it still has some problems, such as high communication overhead, low security, poor scalability, and difficulty in tracking. In this article, we propose a Byzantine fault-tolerant consensus algorithm based on dual administrator short group signatures (GPBFT). Firstly, the certification authority chooses the master node and group administrators based on the credit value. The group administrators organize the nodes into a group, and the members generate the signatures by applying the short group signatures scheme, in which any group member can represent the group during the GroupSign phase. Additionally, the GPBFT algorithm adds the Trace phase. According to member and client authentication information, the group administrator can track the true identity of the malicious node, identify the malicious node, and revoke it. The experimental results show that compared with the PBFT algorithm, the GPBFT algorithm can reduce the network communication overhead, reduce the consensus delay, and greatly improve the security and stability of the system. The algorithm can effectively manage member nodes and enable the tracking of identified malicious nodes while maintaining anonymity in terms of node tracking.

Information for Authors

Journal of Dental EducationVolume 86, Issue 8 p. 1044-1045 INFORMATION FOR AUTHORS Information for Authors First published: 18 August 2022 https://doi.org/10.1002/jdd.12677Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume86, Issue8August 2022Pages 1044-1045 RelatedInformation

Examining The Effects of Authentic Leadership on Information, Identity, Commitment and Job Performance

Within the scope of the study, the interactions of authentic leadership, information management, organisational identification, and emotional commitment to job performance were mentioned. Data obtained using IBM SPSS 25 and SmartPLS Package Programs were analysed. The positive effects of the factors on job performance, as well as the regression and the mediation effect analysis, were used to evaluate the factors that have mediated effect on the relationship between authentic leadership and job performance: both the relationship and mediation effect hypotheses were accepted.

Effect of public sentiment on stock market movement prediction during the COVID-19 outbreak.

Forecasting the stock market is one of the most difficult undertakings in the financial industry due to its complex, volatile, noisy, and nonparametric character. However, as computer science advances, an intelligent model can help investors and analysts minimize investment risk. Public opinion on social media and other online portals is an important factor in stock market predictions. The COVID-19 pandemic stimulates online activities since individuals are compelled to remain at home, bringing about a massive quantity of public opinion and emotion. This research focuses on stock market movement prediction with public sentiments using the long short-term memory network (LSTM) during the COVID-19 flare-up. Here, seven different sentiment analysis tools, VADER, logistic regression, Loughran–McDonald, Henry, TextBlob, Linear SVC, and Stanford, are used for sentiment analysis on web scraped data from four online sources: stock-related articles headlines, tweets, financial news from "Economic Times" and Facebook comments. Predictions are made utilizing both feeling scores and authentic stock information for every one of the 28 opinion measures processed. An accuracy of 98.11% is achieved by using linear SVC to calculate sentiment ratings from Facebook comments. Thereafter, the four estimated sentiment scores from each of the seven instruments are integrated with stock data in a step-by-step fashion to determine the overall influence on the stock market. When all four sentiment scores are paired with stock data, the forecast accuracy for five out of seven tools is at its most noteworthy, with linear SVC computed scores assisting stock data to arrive at its most elevated accuracy of 98.32%.

Perceived accessibility, and adequacy of COVID-19 related information in Nigeria.

Information on COVID-19 has evolved and blended with fake news, which the public, unfortunately, has to make an individual decision on how to use. As a result, access to authentic and adequate health information on COVID-19 is crucial for curbing the ongoing pandemic. The study was aimed at identifying sources of information on COVID-19 commonly used by adult Nigerian residents; determine the adequacy of information received; determine the accessibility of information on COVID-19 among Nigerians, and explore the relationship between location and access to information. An adapted version of the World Health Organization’s (WHO) COVID-19 behavioral insight questionnaire was used to collect data from 1,039 adult residents in Nigeria across the geopolitical zones through an online survey. Analysis was done using SPSS version 24. Logistic regression was used to examine if location predicts access to information. Social media was identified as the major source of information among Nigerians. The top three accessible sources included social media 807(77.7%), television 546 (52.6%), and WHO websites 340 (32.7%). It was also found that they perceived information received on COVID-19 as adequate. The logistic regression model of the location did not predict access to COVID-19 information (p<0.05; 95% CI). Health authorities like the WHO, the ministry of health, CDC should optimize social media for better health information coverage.

International Logistics Management System Based on Cloud Computing Technology

In order to solve the problems of slow matching between supply and demand, information authenticity and security, and lack of trust in traditional logistics platforms, the author proposes an international logistics management system based on cloud computing technology. The system uses blockchain as the underlying technology, combined with related technologies such as smart contracts and NSGA-II algorithms, matches the supply and demand sides of cross-border logistics resources, writes the important information generated in the platform transaction into the blockchain, and carries out network-wide broadcast and consensus, so as to realize the intelligence of the transaction and the nontampering and traceability of the information. The experiment found that in the case set by this example, max Z 1 = 57.139 , and max Z 2 = 54.679 , meaning that the final matching result is as follows: P2, the cross-border logistics provider, is matched with U5, the consignor; P3 matches U9, P8 matches U4, P9 matches U3, P1 matches U6, P5 matches U1, P7 matches U2, P4 matches U7, P10 matches U8, and P8 matches U10. Satisfactory matching results show that the algorithm is effective. Experimental results show that the system can increase the transparency and sharing of cross-border logistics information, help to reduce forged data information, improve the level of automation and intelligence, and provide a reference for the application of blockchain technology in the field of cross-border logistics.

Medicinal plants used in the treatment of snakebite and scorpion sting by the tribes of Shahapur and Jawhar forest division

Many tribal communities living in the forest area deals with emergency cases of snakebite, scorpion sting by using traditional knowledge of medicinal plants. They possess Traditional and authentic information gained from their elders about the antidote for poisonous bites. The present study was conducted in the tribal pockets of Shahapur and Jawhar forest division of Thane forest circle, Maharashtra. Data was collected by interviews with folk healers and informers by using specially design open and close-ended proforma. Collected data have been verified from the classical text of Ayurveda, books and available articles. This medico-ethno-botanical survey reveals the detail information on 27 plants belonging to 19 families. Total 17 and 10 claims have been reported for the treatment of snakebite and scorpion sting, respectively. Only 1 plant is claimed for veterinary use. Tribal has been using flower, fruit, pod, root, stem, stem bark, leaf, etc. as an antidote in the form of fresh juice, powder for internal use and paste for local application. They also are administering medicine via Nasya (nasal administration) and Dhumapan (smoke). The observation generated by this article create scientific curiosity regarding further studies to evaluate the efficacy and develop antidote from medicinal plants based on tribal knowledge

Integrated strategy for widely targeted metabolome characterization of Peucedani Radix

Herbal medicines (HMs) are widely recognized as extremely complicated matrices, resulting in a great challenge for the existing analytical approaches to characterize the widely targeted metabolome. The primary obstacles include high-level structural diversity, broad concentration range, large polarity span, insufficient authentic compounds and frequent occurrences of isomers, even enantiomers. Here, we aimed to propose an integrated strategy being able to circumvent the technical barriers, and a well-known HM namely Peucedani Radix was employed to illustrate and justify the applicability. Regarding qualitative analysis, the hydrophilic metabolites were detected with HILIC–predictive multiple-reaction monitoring mode, and structurally identified by matching predefined identities with authentic compounds or information archived in relevant databases. After RPLC–MS/MS measurement, full collision energy ramp-MS2 spectrum in combination with quantum structural calculation was applied to confirmatively identify those less polar components, mainly angular-type pyranocoumarins (APs). For quantitative analysis, achiral-chiral RPLC/HILIC was configured for chromatographic separations because the analytes spanned a large polarity range and involved many enantiomers. A quasi-content concept was employed for comprehensively relative quantitation through constructing a so-called universal metabolome standard (UMS) sample and building calibration curves by assaying serial diluted UMS solutions. Consequently, high-confidence structural annotation and relatively quantitative analysis were achieved for 103 compounds, in total. After multivariate statistical analysis, some APs, e.g., (3′S)-praeruptorin A, (3′S)-praeruptorin B, (3′S)-praeruptorin E, as well as several primary metabolites were screened out as the prominent contributors for inter-batch variations. Together, current study shows a promising strategy enabling widely targeted metabolomics of, but not limited to, HMs.

Computerized Reasoning Based Portable Following and Radio Wire Pointing in Satellite Earthly Organization

Unique lately, versatile administrations have grown quickly and customary satellite-earthbound Networks have been not able to help them.We are confronted with the issues of how to find portable terminals precisely and process the information we gathered rapidly to diminish correspondence pressure. To tackle this issue, this paper concentrates on a pointing and following strategy in light of man-made reasoning for versatile stations and terminals in satellite-earthbound organization, to ensure that our versatile stations and terminals would be able access best receiving wire signal and experience the ill effects of different stations or terminals. A man-made intelligence based self-learning (ASL) network system is intended to help sifting and right unique testing information, portable following of versatile stations and terminals, and unaided satellite determination and receiving wire change plot. Profound learning of authentic data information of stations and terminals to accomplish continuous pointing and following, and foresee the dispersion of stations and terminals sooner or later in the future. At last, the ASL is contrasted with existing frameworks with measure their usefulness andconvenience.

Riba dalam Perspektif al-Qur’an dan Sunnah

This study tries to find information related to usury holistically and comprehensively based on the verses of the Qur'an and the traditions of the Prophet, by conducting a thematic study to obtain authentic and in-depth information. So it is hoped that with the results of this research, the community, especially Muslims in Indonesia, will get a correct and comprehensive knowledge and understanding of usury. This research is library research using the maudhu'i interpretation and takhrij hadith methods. The maudhu'i interpretation method is used to explore in-depth and holistic information from the Qur'an. While the takhrij hadith method is used to obtain valid and comprehensive information from the hadith. Based on the results of the study, the key that the scholars are that usury is unlawful, including major sins whose perpetrators are threatened by Allah with severe punishment and punishment. The prohibition of usury is based on three main arguments that have the highest authority in Islamic law, namely the Qur'an, as-Sunnah, and Ijma'. The prohibition of usury is comprehensive. This means that all forms of usury are haraam, either a little or a lot.

How fakes make it through: the role of review features versus consumer characteristics

PurposeThis study aims to examine how characteristics of an online review and a consumer reading the review influence the probability that the consumer will assess the review as authentic (real) or inauthentic (fake). This study further examines the specific factors that increase or decrease a consumer’s ability to detect a review’s authenticity and reasons a consumer makes these authenticity assessments.Design/methodology/approachHypothesized relationships were tested using an online experiment of over 400 respondents who collectively provided 3,224 authenticity assessments along with 3,181 written self-report reasons for assessing a review as authentic or inauthentic.FindingsThe findings indicate that specific combinations of factors including review valence, length, readability, type of content and consumer personality traits and demographics lead to systematic bias in assessing review authenticity. Using qualitative analysis, this paper provided further insight into why consumers are deceived.Research limitations/implicationsThis research showed there are important differences in the way the authenticity assessment process works for positive versus negative reviews and identified factors that can make a fake review hard to spot or a real review hard to believe.Practical implicationsThis research has implications for both consumers and businesses by emphasizing areas of vulnerability for fake information and providing guidance for how to design review systems for improved veracity.Originality/valueThis research is one of the few works that explicates how people assess information authenticity and their consequent assessment accuracy in the context of online reviews.

Does YouTube Provide Qualified Patient Education Videos About Atrial Fibrillation?

ObjectivePatients utilize the internet as a pathway to acquire knowledge of specific diseases. However, there are limited oversight and review mechanisms to ensure the authenticity of online information. This study aimed to evaluate the quality of video-based resources used to obtain information about atrial fibrillation (AF).MethodsMultiple AF-specific keywords were used to perform a systematic search of YouTube. Two independent reviewers reviewed the top 50 results of each keyword search. To record data, the Journal of the American Medical Association (JAMA) score, modified DISCERN score, AF-specific score (AFSS), and essential score (Escore) were used. The Kruskal-Wallis test was used for intergroup comparisons.ResultsA total of 74 videos that met the inclusion criteria were included in the analysis. In terms of video quality, 68% were poor, 19% were moderate, and 13% were exceptional. Videos submitted by publishers with a medical background were much less popular (p < 0.05) than those submitted by publishers without a medical background. The video quality did not differ among those included in this study.ConclusionsSome videos on YouTube that are of real value are not as popular as those with low-quality content submitted by news agencies/media publishers. Furthermore, videos submitted by those with a medical background do not receive as much attention as others. It is important to acknowledge that video platforms should establish content and quality auditing mechanisms for videos. Furthermore, publishers should ensure that viewers receive accurate and complete knowledge and use more concise and accessible images or animations that are tailored to the audience.

Pengesahan Perjanjian Kredit Jual Beli Rumah Oleh Notaris Yang Bukan Pembentuk Surat Pernyataan

Notary are required to report irregularities. Notary in real world situations. It also has the power specified in Article 15 Paragraph 2 of Law no. 30 of 2004 concerning the change in the status of a notary through the second year of the Law. Based on Law No. 2 of 2014, his name was changed to Notary, after a regulation to verify and legalize. In a contract, especially in the banking industry credit agreement. Notary are often “protective letters” or closing letters, without the original deed arrangement and other powers under Article 15. The fact that notary often issue protection letters is due to the fact that they are not always clear. His work focuses on safety and the ability to produce accurate certifications. This is to create a cover letter to support bank loans. And indeed a notary who issues a cover note for a bank or a covernote to complete a credit agreement is no longer involved in the creation. Credit agreement, in other words, the bank has ordered a notary that is different from the notarial deed. Cover sheet maker again. From the results of these activities, the authors draw conclusions first. When ordering a notary, which notary is used by each party. Based on the agreement, the parties can choose which notary is used in the formation of a notarial deed. The bank ordered another notary in the process according to the author's information to sign a loan agreement for smooth banking processes at the bank