Attacks on Graphical Password: A Study on Defense Mechanisms and Limitations

User authentication is mostly reliant on password-based based verification. Users generally used text-based passwords, which are user-friendly but often predictable and vulnerable to some common attacks. To overcome these shortcomings, graphical authentication methods have emerged. Here, users choose a sequence of images as passwords. Though such methods help users to better remember their passwords, they too suffer from attacks seen in the case of textual passwords. This paper presents a comprehensive summary of the vulnerabilities state of the art graphical password schemes against the following well-known attacks - Dictionary, Guessing, Brute force, Shoulder surfing, Spyware, and Social engineering. We believe the findings of this study can help researchers design more secure graphical password schemes making them more usable and a realistic replacement for text-based passwords.

A Web-based Andhra University Spatial Information System (AUSIS) and a Building Information Extraction Model using WebGIS & Image Recognition Technique

A university campus is an intricate infrastructure. Especially new students, who are thereon for the first time, have a tough time orienting themselves and finding places. The campus of Andhra University occupies more than 422 acres (170.7 hectares). The campus has many different buildings. Every year, thousands of new students join the university. These students either take a campus commuter or walk around to get familiar with the campus compound. Visitors to Andhra University might have a hard time searching for a particular location on the campus. Every day, uncountable numbers of students, staff, and visitors move around the campus compound to perform tasks by walking, cycling, driving, or riding campus commuters. Even if there are maps at various points on the campus premises, users do not have continuous help to reach their destination. On these static maps, they can try to figure out a way to get to their target, but as soon as they start walking in the target direction, they have no help anymore. The main objective of this study is to develop a Spatial Information System for Andhra University (a Progressive Web App). Which provides several features like a voice-enabled optimal navigation solution, shows nearby places within campus premises, and a geo-tagged university (Geo-tagging of all entities within campus premises). To make the web application more operative, the application is appended with more features. For instance, a map shows statistical data with pie charts visualization (statistical data like monthly attendance), machine learning's image recognition model for extracting the building information from the digital or captured images.

A Hybrid Movie Recommender System and Rating Prediction Model

In the current era, a rapid increase in data volume produces redundant information on the internet. This predicts the appropriate items for users a great challenge in information systems. As a result, recommender systems have emerged in this decade to resolve such problems. Various e-commerce platforms such as Amazon and Netflix prefer using some decent systems to recommend their items to users. In literature, multiple methods such as matrix factorization and collaborative filtering exist and have been implemented for a long time, however recent studies show that some other approaches, especially using artificial neural networks, have promising improvements in this area of research. In this research, we propose a new hybrid recommender system that results in better performance. In the proposed system, the users are divided into two main categories, namely average users, and non-average users. Then, various machine learning and deep learning methods are applied within these categories to achieve better results. Some methods such as decision trees, support vector regression, and random forest are applied to the average users. On the other side, matrix factorization, collaborative filtering, and some deep learning methods are implemented for non-average users. This approach achieves better compared to the traditional methods.

Unequal Clustering Multipath Routing Algorithm for Wireless Sensor Network based on Clustering and Ant Colony

To improve the energy efficiency of the wireless sensor network (WSN), and extend the network life. This paper proposes an improved unequal clustering multipath routing algorithm (UCMRA). The algorithm improves the formula of cluster head selection probability and competition radius, and considers the energy factor, node density, optimal number of cluster heads, etc. Experimental results show that, compared with the traditional algorithm, UCMRA has more stable cluster head distribution, less energy consumption and longer network lifetime.

Machine Learning for sport results prediction using algorithms

This paper describes the use of machine learning in sports. Given the recent trend in Data science and sport analytics, the use of Machine Learning and Data Mining as techniques in sport reveals the essential contribution of technology in results and performance prediction. The purpose of this paper is to benchmark existing analysis methods used in literature, to understand the prediction processes used to model Data collection and its analysis; and determine the characteristics of the variables controlling the performance. Finally, this paper will suggest the reliable tool for Data mining analysis technique using Machine Learning.

The Callovo-Oxfordian as sand substitution in concrete: Effect on the confinement of the ion exchange resin

The present work aims to investigate the conditions for improving the containment of spent ion exchange resin (IER) as a radioactive waste, using powdered Callovo-Oxfordian clay (COx) as an addition to the cementitious matrix at different rates. The aim of this work was to investigate the influence of COx on the characteristics of cemented packages of spent (REI). In this context, a cemented pack was made using Portland class 45 cement, sand, resin and water. And others are prepared by replacing the sand with COx, in the following proportions: (2%, 4%, 6%, 8% and 10%). The packages obtained with and without COx were measured for their compressive strength and porosity.

The Nobel Laureate Georg von Békésy’s Hearing Theory

After Békésy the stapes base moves around two axes: for weaker sounds - rotates around its transverse axis; in case of a strong sound - it moves around its longitudinal axis. Békésy’s place theory cannot alone explain the frequency-distinguishing ability of the ear. However, the existence of active amplification further sharpens the frequency-analysing ability of the cochlea. In addition, the different frequency sensitivity of afferent nerve fibres of inner hair cells synergizes with the mechanisms above. Peaked resonance curves are consequences of different threshold sensitivities of nerves connecting to individual hair cells. The frequency, which belongs to the lowest stimulus threshold, is called the characteristic frequency of a nerve. This place assignment of nerve frequencies are formed by the following mechanism in the cochlea. The place of amplitude maxima of progressive waves excited in the basilar membrane shows slight frequency dependence. The mechanism of active amplification forming in outer hair cells amplifies and sharpens the resonances of the basilar membrane. In 1961, nobleman Georg von Békésy received the Nobel Prize in Medicine: “for his discoveries of the physical mechanisms of stimulation within the cochlea”.

Physical Education in Moroccan primary schools: What Contributions to the Development of Children's Personalities

In Morocco, physical education (PE) in primary school is justified by its contribution to the integral formation of children. It has a positive impact on the development of the personality of those who invest in it. This is the reason why PE is included as a separate subject in the curricula of the different levels of the primary cycle. However, several factors minimise the effect of practising PE in schools and make it difficult for PE to make a real contribution to the development of children's personalities.This article therefore sets out to show that in the absence of rational programming, qualified physical educators and suitable and sufficient material conditions, PE cannot claim to make a real contribution to the development of children's personality.

Fuzzy Dot Satisfactory Bck- Filters

The concept of fuzzy dot subalgebra of BCK/BCI-algebras was introduced by Jun and Hong paper [8]. In 2003 Jun [7] was introduced the concept of satisfactory BCK-filters. The concept of fuzzy satisfactory BCK-filters was introduced by Najati [13]. In this paper, we define the notion of fuzzy dot satisfactory BCK-filters and investigate some of its properties.

A proposal for the development of sport at Abdelmalek Essaâdi University

This study deals with sport at the Abdelmalek Essaâdi University-Tetouan Morocco (UAE). It adopts a problematic related to the development of the sport/Physical Education (PE) system in this Moroccan public university. After identifying the factors responsible for the dysfunction of this system [1], the study makes a proposal to revitalise Sports Activities and PE in the KAU and its affiliated institutions. In order to answer the question of effective measures to be taken to improve the quality and quantity of the PES/sport system in the KAU, our method of approach consists of intervening by positivising, in the particular context of the UAE, the negative indicators. Upstream, we propose an operational approach with the aim of bringing together the favourable conditions for the success of this initiative.