scholarly journals New Graphical Password Scheme Containing Questions-Background-Pattern and Implementation

2019 ◽  
Author(s):  
Bulganmaa Togookhuu ◽  
Wuyungerile Li ◽  
Yifan Sun ◽  
Junxing Zhang
Keyword(s):  
Graphical Password ◽  
Background Pattern

Review on Graphical Password Authentication System

2015 ◽  
Vol 4 (1) ◽  
pp. 33-38 ◽  
Author(s):  
Syeatha Merlin Thampy ◽  
Alphonsa Johny
Keyword(s):  
Password Authentication ◽  
Graphical Password ◽  
Authentication System

scholarly journals All Shades of Shrimp: Preferences of Colour Morphs of a Freshwater Shrimp Neocaridina davidi (Decapoda, Atyidae) for Substrata of Different Colouration

Animals ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 1071
Author(s):  
Zuzanna Plichta ◽  
Jarosław Kobak ◽  
Rafał Maciaszek ◽  
Tomasz Kakareko
Keyword(s):  
Invasive Species ◽  
Niche Breadth ◽  
Habitat Preferences ◽  
Choice Experiments ◽  
Freshwater Shrimp ◽  
Invasive Potential ◽  
Proper Management ◽  
Aquarium Hobby ◽  
Colour Morphs ◽  
Background Pattern

An ornamental freshwater shrimp, Neocaridina davidi, is popular as an aquarium hobby and, therefore, a potentially invasive species. There is a growing need for proper management of this species to determine not only their optimum breeding conditions, but also their ability to colonise novel environments. We tested habitat preferences of colour morphs (brown, red, white) of N. davidi for substratum colour (black, white, grey shades, red) and fine or coarse chess-board patterns to recognise their suitable captivity conditions and predict their distribution after potential release into nature. We conducted laboratory choice experiments (n = 8) with three individuals of the same morph exposed for two hours to a range of backgrounds. Shrimp preferred dark backgrounds over light ones irrespective of their own colouration and its match with the background colour. Moreover, the brown and red morphs, in contrast to the white morph, preferred the coarse background pattern over the finer pattern. This suggests that the presence of dark, uniform substrata (e.g., rocks, macrophytes) will favour N. davidi. Nevertheless, the polymorphism of the species has little effect on its total niche breadth, and thus its invasive potential.

Shoulder Surfing Resistant Graphical Password Schema: Randomized Pass Points (RPP)

2021 ◽  
Author(s):  
Hakan Bostan ◽  
Atila Bostan
Keyword(s):  
Graphical Password ◽  
Shoulder Surfing

Cross-cultural effects on graphical password memorability and design

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mona Mohamed ◽  
Tobin Porterfield ◽  
Joyram Chakraborty
Keyword(s):  
Visual Memory ◽  
Cross Cultural ◽  
Kingdom Of Saudi Arabia ◽  
Content Type ◽  
Graphical Password ◽  
Cultural Images ◽  
Cultural Considerations ◽  
Cultural Effects ◽  
Different Cultures ◽  
The Impact

Purpose This study aims to examine the impact of cultural familiarity with images on the memorability of recognition-based graphical password (RBG-P). Design/methodology/approach The researchers used a between-group design with two groups of 50 participants from China and the Kingdom of Saudi Arabia, using a webtool and two questionnaires to test two hypotheses in a four-week long study. Findings The results showed that culture has significant effects on RBG-P memorability, including both recognition and recall of images. It was also found that the login success rate depreciated quickly as time progressed, which indicates the memory decay and its effects on the visual memory. Research limitations/implications Collectively, these results can be used to design universal RBG-Ps with maximal password deflection points. For better cross-cultural designs, designers must allow users from different cultures to personalize their image selections based on their own cultures. Practical implications The RBG-P interfaces developed without consideration for users’ cultures may lead to the construction of passwords that are difficult to memorize and easy to attack. Thus, the incorporation of cultural images is indispensable for improving the authentication posture. Social implications The development of RBG-P with cultural considerations will make it easy for the user population to remember the password and make it more expensive for the intruder to attack. Originality/value This study provides an insight for RBG-P developers to produce a graphical password platform that increases the memorability factor.

SelfiePass: A Shoulder Surfing Resistant Graphical Password Scheme

2021 ◽  
Author(s):  
S. Rajarajan ◽  
PLK. Priyadarsini
Keyword(s):  
Graphical Password ◽  
Shoulder Surfing

Multi Touch Graphical Password: Usability Features

2011 ◽  
Vol 5 (1) ◽  
pp. 20-32 ◽  
Author(s):  
Mohammad Hashemi ◽  
Norafida Ithnin ◽  
Rezvan Pakdel
Keyword(s):  
Graphical Password

scholarly journals Hand Detection Using Cascade of Softmax Classifiers

2018 ◽  
Vol 2018 ◽  
pp. 1-11
Author(s):  
Yan-Guo Zhao ◽  
Feng Zheng ◽  
Zhan Song
Keyword(s):  
Logistic Regression ◽  
Real Time ◽  
Sliding Window ◽  
Detection Accuracy ◽  
Hand Posture ◽  
Hand Detection ◽  
Cascade Structure ◽  
Real Time Applications ◽  
Binary Classifiers ◽  
Background Pattern

Sliding-window based multiclass hand posture detections are often performed by detecting postures of each predefined category using an independent detector, which makes it lack efficiency and results in high postures confusion rates in real-time applications. To tackle such problems, in this work, an efficient cascade detector that integrates multiple softmax-based binary (SftB) models and a softmax-based multiclass (SftM) model is investigated to perform multiclass posture detection in parallel. The SftB models are used to distinguish the predefined postures from the background regions, and the SftM model is applied to discriminate among all the predefined hand posture categories. Another usage of the cascade structure is that it could effectively decompose the complexity of background pattern space and therefore improve the detection accuracy. In addition, to balance the detection accuracy and efficiency, the HOG features of increasing resolutions will be adopted by classifiers of increasing stage-levels in the cascade structure. The experiments are implemented under various scenarios with complicated background and challenging lightings. Results show the superiority of the proposed SftB classifiers over the traditional binary classifiers such as logistic regression, as well as the accuracy and efficiency improvements brought by the softmax-based cascade architecture compared with the noncascade multiclass softmax detectors.

Gaze-Based Graphical Password Using Webcam

2018 ◽  
pp. 448-461
Author(s):  
Abhishek Tiwari ◽  
Rajarshi Pal
Keyword(s):  
Graphical Password
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