scholarly journals RoundPIN: Shoulder Surfing Resistance for PIN Entry with Randomize Keypad

2021 ◽  
Vol 11 (6) ◽  
pp. 697-702
Author(s):  
Seerwan Waleed Jirjees ◽  
Ahmed Raoof Nasser ◽  
Ali Majeed Mahmood

The security of a PIN is largely supported by the authentication process in ATM. Most authentication methods like traditional are based on using PIN as direct entry and this technique has been shown lots of drawbacks such as vulnerability to password space, and shoulder-surfing. In this paper, a new approach is proposed called RoundPIN depends on the appearance of the numerical password through one of the buttons after selecting it by the user and it is done through a number of rounds, the numbers are arranged randomly on the keypad. Due to the variable aspect of the chosen button and the random appearance of the numbers in each connection session and also the selection process will take place through three buttons three auxiliary, the proposed approach can maintain high secure session to enter the PIN to resist shoulder surfing, which is difficult for attackers to observe a user's PIN. The performance evaluation of the proposed approach is achieved in two parts, the first one is based on security analysis. Then a pilot study of thirty users is conducted to evaluate the useability of the proposed approach. It is noticed that the proposed approach can maintain a high level of security as well as acceptable level of useability and user satisfaction compared the conventional keypad system.

2021 ◽  
Author(s):  
Ivan Rodrigues Barros Godoy ◽  
Luís Pecci Neto ◽  
Abdalla Skaf ◽  
Hilton Muniz Leão-Filho ◽  
Tomás De Andrade Lourenço Freddi ◽  
...  

UNSTRUCTURED Traditional radiology fellowships are usually one or two year clinical trainings in a specific area after completion of a four-year residency. Our purpose was to investigate the experience of fellowship applicants in answering radiology questions in an audiovisual format, using their own smartphones after answering radiology questions in a traditional printed text format as part of the application process during the Coronavirus Disease 2019 (COVID-19) pandemic. Our hypothesis is that fellowship applicants would find that recorded audiovisual radiology content adds value to the conventional selection process, may increase engagement by using their own smartphone device, and also facilitate understanding of imaging findings of radiology-based questions, while maintaining social distancing. One senior staff radiologist of each subspecialty prepared 4 audiovisual radiology questions for each subspecialty. We conducted a survey using online questionnaires for 123 fellowship applications for musculoskeletal (39), internal medicine (61) and neuroradiology (23) programs to evaluate the experience of using audiovisual radiology content as a complementary material for the conventional text evaluation. Positive responses were statistically significant in most questions. Use of audiovisual content as part of the selection process for radiology fellowships is a new approach to evaluate the potential to enhance of the applicant’s experience during this process. This technology also allows for the evaluation of candidates without the necessity of in-person interactions. Further studies could streamline these methods in order to minimize work redundancy with traditional text tests or even evaluate the acceptance of using only audiovisual content using smartphones.


Author(s):  
Belghachi Mohammed ◽  
Debab Naouel

In this article, the authors propose a new approach to meet various QoS requirements from different kinds of traffic; thus, maximizing network utilization, while improving its performance. The authors design an objective function based on ant colony optimization (ACO). The authors use the delay, energy, packet loss, and memory as the routing metric of the nodes in the preferred parent selection process for the RPL protocol to build the DODAG structure. After, the authors implement it in an experimental testbed deployed in real scenarios, and then the authors compare the results with RPL based on ETX.


2019 ◽  
Author(s):  
Rafael García-Hernández ◽  
Reyes Gámiz-Sánchez ◽  
María V García-Palacios ◽  
María I Espigares-López ◽  
Francisco Miralles Aguiar ◽  
...  
Keyword(s):  

Sensors ◽  
2021 ◽  
Vol 21 (8) ◽  
pp. 2757
Author(s):  
W. Rudolf Seitz ◽  
Casey J. Grenier ◽  
John R. Csoros ◽  
Rongfang Yang ◽  
Tianyu Ren

This perspective presents an overview of approaches to the preparation of molecular recognition agents for chemical sensing. These approaches include chemical synthesis, using catalysts from biological systems, partitioning, aptamers, antibodies and molecularly imprinted polymers. The latter three approaches are general in that they can be applied with a large number of analytes, both proteins and smaller molecules like drugs and hormones. Aptamers and antibodies bind analytes rapidly while molecularly imprinted polymers bind much more slowly. Most molecularly imprinted polymers, formed by polymerizing in the presence of a template, contain a high level of covalent crosslinker that causes the polymer to form a separate phase. This results in a material that is rigid with low affinity for analyte and slow binding kinetics. Our approach to templating is to use predominantly or exclusively noncovalent crosslinks. This results in soluble templated polymers that bind analyte rapidly with high affinity. The biggest challenge of this approach is that the chains are tangled when the templated polymer is dissolved in water, blocking access to binding sites.


2015 ◽  
Vol 12 (03) ◽  
pp. 1550036
Author(s):  
Aurel Bejancu ◽  
Constantin Călin

Using the new approach on higher-dimensional Kaluza–Klein theories developed by the first author, we obtain the 4D Einstein equations on a (4 + n)D relativistic gauge Kaluza–Klein space. Adapted frame and coframe fields, adapted tensor fields, and the Riemannian adapted connection, have a fundamental role in the study. The high level of generality of the study, enables us to recover several results from earlier papers on this matter.


1986 ◽  
Vol 63 (2) ◽  
pp. 683-708 ◽  
Author(s):  
Alvah C. Bittner ◽  
Robert C. Carter ◽  
Robert S. Kennedy ◽  
Mary M. Harbeson ◽  
Michele Krause

The goal of the Performance Evaluation Tests for Environmental Research (PETER) Program was to identify a set of measures of human capabilities for use in the study of environmental and other time-course effects. 114 measures studied in the PETER Program were evaluated and categorized into four groups based upon task stability and task definition. The Recommended category contained 30 measures that clearly obtained total stabilization and had an acceptable level of reliability efficiency. The Acceptable-But-Redundant category contained 15 measures. The 37 measures in the Marginal category, which included an inordinate number of slope and other derived measures, usually had desirable features which were outweighed by faults. The 32 measures in the Unacceptable category had either differential instability or weak reliability efficiency. It is our opinion that the 30 measures in the Recommended category should be given first consideration for environmental research applications. Further, it is recommended that information pertaining to preexperimental practice requirements and stabilized reliabilities should be utilized in repeated-measures environmental studies.


2021 ◽  
Vol 20 (01) ◽  
pp. 2150013
Author(s):  
Mohammed Abu-Arqoub ◽  
Wael Hadi ◽  
Abdelraouf Ishtaiwi

Associative Classification (AC) classifiers are of substantial interest due to their ability to be utilised for mining vast sets of rules. However, researchers over the decades have shown that a large number of these mined rules are trivial, irrelevant, redundant, and sometimes harmful, as they can cause decision-making bias. Accordingly, in our paper, we address these challenges and propose a new novel AC approach based on the RIPPER algorithm, which we refer to as ACRIPPER. Our new approach combines the strength of the RIPPER algorithm with the classical AC method, in order to achieve: (1) a reduction in the number of rules being mined, especially those rules that are largely insignificant; (2) a high level of integration among the confidence and support of the rules on one hand and the class imbalance level in the prediction phase on the other hand. Our experimental results, using 20 different well-known datasets, reveal that the proposed ACRIPPER significantly outperforms the well-known rule-based algorithms RIPPER and J48. Moreover, ACRIPPER significantly outperforms the current AC-based algorithms CBA, CMAR, ECBA, FACA, and ACPRISM. Finally, ACRIPPER is found to achieve the best average and ranking on the accuracy measure.


2013 ◽  
Vol 14 (1) ◽  
pp. 163 ◽  
Author(s):  
Said Hamid Hasan

There has been so many findings and thoughts indicating that teaching history is dominated by what teachers tell of what happened in the past as it is written in the textbooks or reference books. Students listen, read, and memorize the narration and the more details the student could memorize the higher mark she/he will get. The plan for teaching history, syllabus or lesson plan, shows a high level of consistency amongst the learning objectives, teaching processes, and assessment of student learning outcomes. Memorize of historical facts and the reproduction of historical narratives as indication of student’s understanding of historical events, the transmission of information from teacher to student to realize the objectives, and the use of pencil and paper test to assess student level of achievement are the common practices in school from primary to secondary education. It would be no surprise if teaching history at the higher level of education would follow the same path. Public still consider a good scholar or historian in this case, is measured by the amount of knowledge she/he can memorize and she/he should be able to answer some many questions of the facts of historical events. In fact, there is no question of how many a student has in her/his memory apart from what is questioned.


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