213 research outputs found

    On Security Analysis of Recent Password Authentication and Key Agreement Schemes Based on Elliptic Curve Cryptography

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    Secure and efficient mutual authentication and key agreement schemes form the basis for any robust network communication system. Elliptic Curve Cryptography (ECC) has emerged as one of the most successful Public Key Cryptosystem that efficiently meets all the security challenges. Comparison of ECC with other Public Key Cryptosystems (RSA, Rabin, ElGamal) shows that it provides equal level of security for a far smaller bit size, thereby substantially reducing the processing overhead. This makes it suitable for constrained environments like wireless networks and mobile devices as well as for security sensitive applications like electronic banking, financial transactions and smart grids. With the successful implementation of ECC in security applications (e-passports, e-IDs, embedded systems), it is getting widely commercialized. ECC is simple and faster and is therefore emerging as an attractive alternative for providing security in lightweight device, which contributes to its popularity in the present scenario. In this paper, we have analyzed some of the recent password based authentication and key agreement schemes using ECC for various environments. Furthermore, we have carried out security, functionality and performance comparisons of these schemes and found that they are unable to satisfy their claimed security goals

    A Call Graph Reduction based Novel Storage Allocation Scheme for Smart City Applications

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    Today s world is going to be smart even smarter day by day Smart cities play an important role to make the world smart Thousands of smart city applications are developing in every day Every second very huge amount of data is generated The data need to be managed and stored properly so that information can be extracted using various emerging technologies The main aim of this paper is to propose a storage scheme for data generated by smart city applications A matrix is used which store the information of each adjacency node of each level as well as the weight and frequency of call graph It has been experimentally depicted that the applied algorithm reduces the size of the call graph without changing the basic structure without any loss of information Once the graph is generated from the source code it is stored in the matrix and reduced appropriately using the proposed algorithm The proposed algorithm is also compared to another call graph reduction techniques and it has been experimentally evaluated that the proposed algorithm significantly reduces the graph and store the smart city application data efficientl

    Nutrient profiling assessment of packaged snack foods with nutrition-related claims available on the Indian market

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    BackgroundFood packaging includes labels with specific nutrient contents to provide consumers with nutritional information. Legislative actions and consumers’ growing interest in nutrition information have increased the disclosure of nutrition information. The study was planned to examine packaged snack foods carrying nutritional claims for nutrition labeling.MethodsThe selected packaged chips were divided into categories based on the primary ingredients mentioned on the nutrition label, such as cereal/pseudocereal-based, millet-based, vegetable-based, and pulses/legume-based chips. Four threshold levels, such as total sugar, sodium, total fat, and saturated fat, were used for categorization.ResultsOut of a total of 23 packaged chips, the corresponding 2, 7, 8, and 13 products had a higher content of sugar, saturated fat, sodium, and total fat than the threshold levels. A significant (p ≤ 0.01) difference was observed in the values of nutrients analyzed through laboratory methods in comparison with the values given on the nutrition label in the majority of the products.ConclusionThe majority of the products belonged to national brands and differed from the nutrition-related information given on the product label in terms of the nutrient content claim

    CKD of Unknown Cause: A Global Epidemic?

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    World Kidney Day is an appropriate time to reflect on the epidemics(s) of chronic kidney disease (CKD) of undetermined cause (CKDu) that are affecting agricultural communities in Central America, South Asia, and possibly other parts of the world.1, 2, 3, 4 The cause(s) of CKDu remain to be established, with heat, pesticides, water (including heavy metals), infections, or other factors being suggested as the primary cause(s). However, we still do not know, at least on a global level, who gets this disease, or even if the disease is the same in different parts of the world. This lack of basic epidemiological information also has important implications for health care. World Kidney Day 2019 has a theme of “health care access for all,” but health care access cannot be provided for a disease that is unrecognized, undiagnosed, and (even when diagnosed) often untreated. CKDu is clinically silent in the early stages and, in many of the affected areas, carries a poor prognosis. It is usually diagnosed late, and no data are available on factors predicting progression. Renal replacement therapy is unavailable in many low- and middle-income countries,5 and even if present, it is often inaccessible to most of the population, meaning that end-stage renal disease is usually fatal. In addition to the young lives lost, CKDu has a substantial negative impact on social and economic development of affected countries, through jeopardizing the economic development of the affected communities, and straining the poorly resourced health systems of the affected countries

    Chikungunya Outbreak, South India, 2006

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    We investigated chikungunya outbreaks in South India and observed a high attack rate, particularly among adults and women. Transmission was facilitated by Aedes aegypti mosquitoes in peridomestic water containers, as indicated by a high Breteau index. We recommended vector control measures and health education to promote safe water storage practices

    Seven years of the field epidemiology training programme (FETP) at Chennai, Tamil Nadu, India: an internal evaluation

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    Abstract Background During 2001–2007, the National Institute of Epidemiology (NIE), Chennai, Tamil Nadu, India admitted 80 trainees in its two-year Field Epidemiology Training Programme (FETP). We evaluated the first seven years of the programme to identify strengths and weaknesses. Methods We identified core components of the programme and broke them down into input, process, output and outcome. We developed critical indicators to reflect the logic model. We reviewed documents including fieldwork reports, abstracts listed in proceedings and papers published in Medline-indexed journals. We conducted an anonymous online survey of the graduates to collect information on self-perceived competencies, learning activities, field assignments, supervision, curriculum, relevance to career goals, strengths and weaknesses. Results Of the 80 students recruited during 2001–2007, 69 (86%) acquired seven core competencies (epidemiology, surveillance, outbreaks, research, human subjects protection, communication and management) and graduated through completion of at least six field assignments. The faculty-to-student ratio ranged between 0.4 and 0.12 (expected: 0.25). The curriculum was continuously adapted with all resources available on-line. Fieldwork led to the production of 158 scientific communications presented at international meetings and to 29 manuscripts accepted in indexed, peer-reviewed journals. The online survey showed that while most graduates acquired competencies, unmet needs persisted in laboratory sciences, data analysis tools and faculty-to-student ratio. Conclusions NIE adapted the international FETP model to India. However, further efforts are required to scale up the programme and to develop career tracks for field epidemiologists in the country. </jats:sec

    Knowledge, attitude, and practice towards face mask use among residents of Greater Chennai Corporation, India, March 2021

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    BackgroundWearing a mask is one of the simplest ways to reduce the spread of COVID-19. Studies reported poor mask compliance in Greater Chennai Corporation, India. Hence, we described the knowledge, attitude, and practice regarding mask use among adults (≥18 years) in Greater Chennai Corporation, Tamil Nadu, India.MethodsWe conducted a cross-sectional survey among residents of Greater Chennai Corporation in March 2021. We estimated the sample size to be 203 per strata (slum and non-slum). We used a simple random sampling technique to select 20 locations using a digital map in the slum and non-slum areas. After reaching the location chosen, we selected 10 consecutive households and one adult (≥18 years of age) from each household. We used a validated, semi-structured questionnaire for collecting data regarding knowledge, attitudes, and practices for mask use. We estimated proportions and 95% CI for key variables and compared the variables between slums and non-slums.ResultsOf 430 participants included in the study, 51.4% were males. The mean (S.D.) age of the participants is 41.1 (14.6) years. The majority (86.7%) of the participants felt that wearing a mask helped in reducing the spread of coronavirus and the knowledge differed (p-value &lt; 0.05) between the slum (81.4%) and non-slum (92.3%). Nearly half (46.5%) of the participants did not like being forced to wear the mask. About 63.9% of the participants reported the practice of mask use while going out which was similar across slums and non-slums.ConclusionAlthough the knowledge regarding mask use was good among the public, the attitude was unfavorable. We suggest continuous reinforcement by spreading awareness and educating the community on the appropriate use of the mask

    India Field Epidemiology Training Program Response to COVID-19 Pandemic, 2020-2021

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    The India Field Epidemiology Training Program (FETP) has played a critical role in India\u27s response to the ongoing COVID-19 pandemic. During March 2020-June 2021, a total of 123 FETP officers from across 3 training hubs were deployed in support of India\u27s efforts to combat COVID-19. FETP officers have successfully mitigated the effect of COVID-19 on persons in India by conducting cluster outbreak investigations, performing surveillance system evaluations, and developing infection prevention and control tools and guidelines. This report discusses the successes of select COVID-19 pandemic response activities undertaken by current India FETP officers and proposes a pathway to augmenting India\u27s pandemic preparedness and response efforts through expansion of this network and a strengthened frontline public health workforce
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