49 research outputs found

    Mitigating Cross-Site Request Forgery (CSRF) Attacks Using Reinforcement Learning and Predictive Analytics

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    Cross-Site Request Forgery (CSRF) attacks pose a significant threat to web application security, allowing attackers to perform unauthorized actions on behalf of authenticated users. Traditional CSRF mitigation techniques, such as using secure tokens and validating request origins, have limitations in adapting to attack patterns and optimizing security policies. This research explores the application of reinforcement learning (RL) and predictive analytics to enhance CSRF mitigation strategies. We propose several RL-based approaches, including CSRF token generation, CSRF detection, request validation, user behavior analysis, and security policy optimization. In these approaches, RL agents are trained to generate secure tokens, detect CSRF attacks, validate request authenticity, model user behavior, and optimize security policies based on observed attack patterns and system performance. The agents learn through simulated attack scenarios, real-world web traffic data, and continuous feedback, adapting to new CSRF techniques and balancing security effectiveness with user experience. Additionally, we investigate predictive analytics techniques for CSRF mitigation, such as anomaly detection, risk scoring, user behavior analysis, predictive token generation, and adaptive security policies. These techniques leverage machine learning algorithms to identify anomalous requests, assign risk scores, classify user behavior, generate secure tokens, and dynamically adjust security measures based on predicted risk levels. The research demonstrates the applications of RL and predictive analytics in enhancing CSRF mitigation strategies. These approaches offer promising solutions to strengthen web application security by proactively detecting and preventing CSRF attacks, adapting to attack patterns, and optimizing security policies. Further research is needed to validate the practicality and scalability of these techniques in real-world deployments and to integrate them with existing CSRF mitigation best practices. This research contributes to the field of web application security by introducing innovative approaches that leverage RL and predictive analytics to mitigate CSRF attacks. The proposed techniques may significantly improve the resilience of web applications against CSRF threats

    Phylogeography of social polymorphism in a boreo-montane ant

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    Background: The disjunct distribution of several Palearctic species has been widely shaped by the changes in climatic conditions during the Quaternary. The observed genetic differentiation or reproductive isolation between extant populations may be the outcome of their contemporary geographic separation or reproductive incompatibility due to differences in phenotypic traits which have evolved in isolated refugia. In the boreal ant Leptothorax acervorum, colonies from central and peripheral populations differ in social structure: colonies from Central and Northern Europe may contain several equally reproductive queens (facultative polygyny), while in colonies from peripheral populations in Spain only one the most dominant of several queens lays eggs (functional monogyny). By reconstructing the specie's evolutionary and demographic history in Southwestern Europe we examine whether variation in social organization is associated with restricted gene flow between the two social forms. Results: We show that multi-queen colonies from all so far known inner Iberian populations of L. acervorum are functionally monogynous, whereas multi-queen colonies from all Pyrenean populations are polygynous, like those from other previously studied areas in Europe. Our analyses revealed complex spatial-genetic structure, but no association between spatial-genetic structure and social organization in SW-Europe. The population in the western Pyrenees diverged most strongly from other Iberian populations. Moreover, microsatellite data suggest the occurrence of recent bottlenecks in Pyrenean and inner Iberian populations. Conclusions: Our study shows a lack of reproductive isolation between the two social forms in SW-Europe. This in turn suggests that demographic and spatial patterns in genetic variation as well as the distribution of social phenotypes are better explained by co-variation with climatic, ecological, and historical factors. Moreover, we for the first time show the existence of substantial spatial-genetic structure in L. acervorum, suggesting the existence of multiple refugia in SW-Europe, including two extra-Mediterranean refugia in France. While gene flow among inner Iberian refugia may have been larger during the late glacial, extra-Mediterranean refugia in southern France may have contributed to the post-glacial recolonization of W-Europe

    Effects of carbonated beverage and fruit juice on salivary pH among children in orphanage of Bareilly city: an in vivo study

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    Background: High degree of urbanization and economic development have resulted in rapid changes in diet and lifestyles, because of which there is a tremendous increase in prevalence of dental caries in developing countries. The aim of the study is to assess the acidogenic potential of commonly consumed carbonated beverage and commercially available fruit juice at various time intervals among orphan children. Methods: This is an in vivo study in which 60 orphan children were included. Two beverage groups (carbonated beverage and fruit juice) were tested for salivary pH before having respective drinks (baseline) and after having drinks at specific time intervals (immediately after, after 15 min and 30 min). Intra-group and inter-group comparisons were done using Friedman test and Mann Whitney U test. Results: Both the groups showed decrease in salivary pH after consumption and recovery of salivary pH to baseline value after 30 min. Conclusions: Beverages produce a remarkable drop in the salivary pH as they contain organic acids and sugars but saliva by virtue of its buffering capacity nullifies this effect and after some time it comes to normal

    Molecular and morphological species identification of marine planktonic copepods using non-destructive DNA extraction

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    The lack of obvious morphological differences limits species identification in many marine planktonic copepods. Morphological identification is very time-consuming and depends on prior taxonomic training. Consequently, molecular methods are increasingly used to support taxonomic approaches. Copepod species are often widespread and can occur in very high abundances. Only few diagnostic characters are used for identification in quantitative analysis and species may be overlooked. Thus, it is not surprising that increasing evidence for cryptic and pseudocryptic speciation is found within copepods. Morphological identification often requires looking at minute details of antennules and other body parts and preparing specimens for morphological analysis may prevent molecular approaches. Especially in small sized genera (less than 1 mm), the entire organism is needed for molecular approaches to yield enough DNA. We present an integrative approach that uses the same individual for both morphological and molecular analysis (i.e. next generation sequencing). Non-destructive DNA extraction is performed to retrieve the copepod exoskeleton for morphological taxonomic analysis. The method will be applied to small-sized copepod genera (e.g. Paracalanus , Microcalanus ) that occur across several climate zones. The usability of the method for morphological analysis will be discussed. Finally, the phylogeography of each genus will be compared to the results of the other genera
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