A secure, constraint-aware role-based access control interoperation framework

With the growing needs for and the benefits of sharing resources and information among different organizations, an interoperation framework that automatically integrates policies to facilitate such cross-domain sharing in a secure way is becoming increasingly important. To avoid security breaches, such policies must enforce the policy constraints of the individual domains. Such constraints may include temporal constraints that limit the times when the users can access the resources, and separation of duty (SoD) constraints. Existing interoperation solutions do not address such cross-domain temporal access control and SoDs requirements. In this paper, we propose a role-based framework to facilitate secure interoperation among multiple domains by ensuring the enforcement of temporal and SoD constraints of individual domains. To support interoperation, we do not modify the internal policies, as most of the current approaches do. We present experimental results to demonstrate our proposed framework is effective and easily realizable. © 2011 IEEE

Ontology-based access control for social network systems

As the information flowing around in social network systems is mainly related or can be attributed to their users, controlling access to such information by individual users becomes a crucial requirement. The intricate semantic relations among data objects, different users, and between data objects and users further add to the complexity of access control needs. In this paper, we propose an access control model based on semantic web technologies that takes into account the above mentioned complex relations. The proposed model enables expressing much more fine-grained access control policies on a social network knowledge base than the existing models. We demonstrate the applicability of our approach by implementing a proof-of-concept prototype of the proposed access control framework and evaluating its performance

Preserving Privacy in Social Networking Systems: Policy-Based Control and Anonymity

Social Networking Systems (SNSs), such as Facebook, are complex information systems involving a huge number of active entities that provide and consume enormous amounts of information. Such information can be mainly attributed to the users of SNSs and hence, can be considered privacy-sensitive. Therefore, in contrast to traditional systems where access control is governed by system policies, enabling individual users to specify their privacy control policies becomes a natural requirement. The intricate semantic relationships among data objects, users, and between data objects and users further add to the complexity of privacy control needs. Moreover, there is immense interest in studying social network data that is collected by SNSs for various research purposes. Anonymization is a solution to preserve user privacy in this case. However, anonymizing social network datasets effectively and efficiently is a much more challenging task than anonymizing tabular datasets due to the connectedness of the users in a social network graph. In this dissertation, we propose approaches and methods that facilitate preserving user privacy in terms of providing both fine-grained control of information and utility-preserving anonymization. In particular, we propose an ontology-based privacy control framework that enables fine-grained specification and enforcement of privacy control policies by both users and SNS providers. Our framework allows an SNS provider to determine privacy control policy authorities for SNS information, and allows users to specify advanced policies, that in addition to fine-grained policy specification, enables sharing of authority over protected resources. Based on such an ontology-based foundation, we also propose a framework to support novel privacy policy analysis tasks in SNSs. Furthermore, we propose a framework to enhance anonymization algorithms for social network datasets in terms of preserving their structural properties without sacrificing privacy requirements set for the algorithms. The proposed approaches direct the behavior of anonymization algorithms based on concepts in social network theory. We evaluate our proposed methods and approaches by implementing a prototype of the privacy control framework, carrying out a policy analysis case study for a real-world SNS, and performing an extensive set of experiments on improving social network anonymization in terms of preserving data utility

Object Detection Frameworks for Fully Automated Particle Picking in Cryo-EM

Particle picking in cryo-EM is a form of object detection for noisy, low contrast, and out-of-focus microscopy images, taken of different (unknown) structures. This thesis presents a fully automated approach which, for the first time, explicitly considers training on multiple structures, while simultaneously learning both specialized models for each structure used for training and a generic model that can be applied to unseen structures. The presented architecture is fully convolutional and divided into two parts: (i) a portion which shares its weights across all structures and (ii) N+1 parallel sets of sub-architectures, N of which are specialized to the structures used for training and a generic model whose weights are tied to the layers for the specialized models. Experiments reveal improvements in multiple use cases over the-state-of-art and present additional possibilities to practitioners

A narrative review of heavy metals in cosmetics; health risks

Cosmetics products since the dawn of civilization are considered a part of routine body care. The last few decades these products have had increasing and applied to the human body for beautification. Xenobiotics and heavy metals including chromium, copper, iron, mercury, cadmium, arsenic and nickel, classified as a light metal, are determinate in various types of cosmetics such as color cosmetics, face and body care products, hair cosmetics, herbal cosmetics. In cosmetic products was harmful when they occur in excessive amounts. Evidence studies determinate that in commercially available cosmetics toxic metals might present in amounts creating a danger to human health. The aim of this review is to assess identification of elimination, sources and control of sources, and monitoring countries marketed exposures and hazards can be used to prevent heavy metals toxicity. © 2019, Advanced Scientific Research. All rights reserved

Parasitic infection among larvae and fingerlings of the Persian sturgeon (Acipenser persicus) in Vniro tanks and earthen ponds

This study was conducted in two phases on sturgeon larvae and fingerlings produced from artificial breeding of five pairs of the Persian sturgeon (Acipenser persicus) broodstocks in Shahid Beheshti Hatchery in spring and summer 2006. Initially, 600 larvae were collected on 3 post days hatching (pdh) and 5 days after the onset of exogenous feeding. The second phase was conducted with 450 specimens collected from five earthen ponds, which included 150 larvae collected one week after stocking, 150 fingerlings collected 20 days after stocking and 150 fingerlings collected at the time of their release into rivers. No parasite was observed in the sturgeon larvae on day 3 pdh and 5 days after the onset of exogenous feeding. However Trichodina reticulata were observed in the larvae in the first week (prevalence = 10 - 20%) and also in the fingerlings (prevalence = 10 - 46.67%) 20 days after they were transferred to the earthen ponds. At the time of their release into the river, in addition to T. reticulata (prevalence = 13.33 – 100%) a digenean trematode, Diplostomum spathaceum, (prevalence = 6.67 - 30%) was also observed in the sturgeon fingerlings. It is evident from the present study that Trichodina and Diplostomum infection occurs after fingerlings are released into the earthen ponds and gradually increases with the progress in the rearing period. Increase in prevalence of Trichodina infection through the rearing period can be explained by the increase in water temperature and increase in dissolved organic matter in the ponds which provide the desirable conditions for the propagation of this unicellular ciliate. Significant differences were observed in the mean intensity of T. reticulata infection in sturgeon fingerlings during different stages of rearing into earthen ponds (P<0.05)

Effects of oral administration of Zataria multiflora essential oil on some blood and serum parameters in Acipenser persicus

In order to does this study, 150 Persian sturgeons having 75g mean weight transferred to 500 liter tanks. After dividing the fishes into two groups (experimental and control), the fingerlings fed by concentrate food that contained different levels of Zataria multiflora essential oil (15, 25, 50, 100 g/kg) for 8 weeks. Finally, sampling carried out on blood and serum of fishes. After preparing the samples based on standard methods, hematology and serology studies, performed. The results showed significant difference in mean of monocytes between experimental and control groups (P0.05), but there is significant difference in mean and standard deviation of albumin. So that, the average in treatments 15 and 25g/kg and control group was more than treatments 50 and 100g/kg of Zataria multiflora essential oil