Password Authentication System Research Articles

Interactive AI Chatbot for Mental Illness

In today's increasingly technological world, mental health awareness is paramount, with the intersection of technology and wellness offering innovative solutions to alleviation of depression symptoms, attrition, and loss of follow-up in mental health treatment. To start a good life healthcare is more important. Mental health problems becoming more common, there's a need for easy-to-access support. Our chatbot uses smart technology to understand what users are feeling, offer kind responses. It's built using advanced computer learning to get better at recognizing and dealing with different mental health concerns. In this application implement natural language processing (NLP) and speech recognition. The application includes a robust authentication system for user security, featuring traditional methods like username/password verification, alongside a graphical password authentication system. Users can select a random image during registration, which is then split into shares for secure storage. The chatbot analyzes user queries to recommend tailored stress-relief strategies, including mindfulness exercises, relaxation techniques, and personalized yoga poses displayed with accompanying images and instructions. The backend manages user data, recommendation algorithms, and integration with external services, while the frontend offers intuitive interfaces for seamless user interaction. Thorough testing ensures functionality, usability, and security before deployment, with continuous improvement based on user feedback and technological advancements driving the project evolution.

A Graphical Password Authentication System

Graphical passwords provide a promising alternative to traditional alphanumeric passwords. They are attractive since people usually remember pictures better than words.In this extended abstract, we propose a simple graphical password authentication system. We describe its operation with some examples, and highlight important aspects of the system.

Survey Paper on Graphical Password Authentication System In Terms of Usability and Security Attribute

Survey Paper on Graphical Password Authentication System In Terms of Usability and Security Attribute

Graphical Password Authentication System In Terms of Usability and Security Attribute

Graphical Password Authentication System In Terms of Usability and Security Attribute

THE LANDSCAPE OF AUTHENTICATION SYSTEMS: A COMPREHENSIVE SURVEY

Nowadays, authentication systems are extremely important in many aspects of digital life. They help to protect personal and confidential data from unauthorized access. authentication systems are effective ways to prevent hacking and fraud attacks. Also, They are crucial in ensuring digital security and protecting sensitive data in our connected world. The authentication can be done in multiple ways, one of which is using a password, such system is called a password-based authentication system. Password is the basic and most common method of authentication. This paper overviews the authentication systems, types, and objectives and mentions each type's disadvantages, advantages, and problems. The paper then highlights the text password authentication system, its weak points, and attacks they are exposed to, in addition to developing means and methods to increase the strength of passwords so that they can overcome the attacks they face. The paper provides a good background for anyone who wants to start in this field, as it gives a detailed idea of the systems used, making it easier for the reader to choose the authentication system to desire

Enhancing graphical password authentication system with deep learning-based arabic digit recognition

Enhancing graphical password authentication system with deep learning-based arabic digit recognition

An Advanced Knowledge Based Graphical Authentication Framework with Guaranteed Confidentiality and Integrity

The information and security systems largely rely on passwords,which remain the fundamental part of any authentication process. The conventional authentication method based on alphanumerical username and password suffer from significant disadvantages. The graphical password-based authentication system has recently been introduced as an effective alternative. Although the graphical schemes effectively generate the passwords with better flexibility and enhanced security, the most common problem with this is the shoulder surfing attack. This paper proposes an effective 3D graphical password authentication system to overcome such drawbacks. The system is based on the selection of click points for generating passwords. The proposed work involved a training phase for evaluating the model in terms of the success rate. The overall evaluations of the model in terms of password entropy, password space, login success rates, and prediction probability in the shoulder surfing and guessing attacks proved that the model is more confidential and maintains a higher range of integrity than the other existing models.

A COLOUR SCHEME AUTHENTICATED TUTOR BOOKING WEBSITE

Authentication is the first and most important step in information security. Traditional password authentication systems are not strong enough to cope with the current age of cybercrime because passwords can be easily predicted by attackers. This paper aims at reducing threats from different malicious activities to a great extent, thereby increasing security and efficiency, proving it to be very advantageous in today’s world where confidential data security has become so essential. This system provides users with the freedom to have complete security while handling their confidential data and security essential systems from anywhere. The colour code authentication scheme is executed using colour features for passwords, where users have to select a colour code as password item in terms of the uniqueness and reliability with which it can be entered. This technique uses a grid for session passwords generation and is resistant to dictionary attacks, brute force attacks, and shoulder-surfing. The colour scheme allocated ratings to colours, based on these ratings and the grid displayed during login, session passwords were generated. This work explored a new and easy password authentication system devoid of memorization and recall. This authentication system makes data more secure as only the colour rating at the registration phase needs to be remembered. The Colour based authentication system would provide an efficient way to encrypt account details for sensitive applications such as defense and banking.

3D wearable piezoresistive sensor with waterproof and antibacterial activity for multimodal smart sensing

High sensitivity, excellent stability and rapid response have been gradually satisfied with the rapid development of 3D wearable piezoresistive sensors. Nevertheless, advanced parameters such as waterproof and antibacterial property, which are critical to wearable electronics, have received inadequate attention. Herein, a 3D wearable piezoresistive sensor with waterproof and antibacterial activity was fabricated with the utilization of graphene, silver nanoparticles (Ag NPs), polyurethane (PU) and thermoplastic polyurethanes (TPU). This 3D TPU@rGO-Ag NPs@PU sensor exhibits competitive sensing performance, achieving a remarkable sensitivity (GFmax=152.97kPa−1), reliable dynamic stability (over 10,000 cycles), fast response/recovery time (50 ms/40 ms), and satisfactory sensitivity retention (∼90%). Furthermore, this sensor achieves outstanding waterproof and high antibacterial activity (>99.9%), providing ample convenience for the realization of wearable. Besides, fingering habits, typing strength and typing speed can be captured by this sensor, which overcomes the security deficiencies of password authentication system and improves the security of information. This 3D piezoresistive sensor shows huge potential in multimodal smart sensing, which provides opportunities for developing intelligent wearable sensors and future broad commercial applications.

Survey of Graphical Password Authentication Systems Suitable for Android Application

Survey of Graphical Password Authentication Systems Suitable for Android Application

Privacy-preserving bimodal authentication system using Fan-Vercauteren scheme

The requirement of a person to be available during the authentication made the biometric authentication to be used in abundant applications over password or token-based authentication systems. Privacy and security are two major concerns still to be addressed in biometric authentication system. In the last couple of years, researchers used the homomorphic encryption (HE) to propose the privacy-preserving biometric authentication systems which overcomes the limitations of cancelable biometrics and biometric cryptosystems. But these methods fail to achieve overall performance and security measures. To handle this, we introduce a privacy-preserving Bimodal authentication system (PPBA) utilizing Fan-Vercauteren scheme. An optimized method is proposed to compute the hamming distance between the encrypted templates that helps to carry out the computation without disclosing the user sensitive data. PPBA is tested on publicly available databases to analyze its efficiency. PPBA satisfies the diversity, irreversibility, revocability properties and also achieves decent performance.

Multimodal Behavioral Biometric Authentication in Smartphones for Covid-19 Pandemic

The usage of mobile phones has increased multi-fold in recent decades, mostly because of their utility in most aspects of daily life, such as communications, entertainment, and financial transactions. In use cases where users’ information is at risk from imposter attacks, biometrics-based authentication systems such as fingerprint or facial recognition are considered the most trustworthy in comparison to PIN, password, or pattern-based authentication systems in smartphones. Biometrics need to be presented at the time of power-on, they cannot be guessed or attacked through brute force and eliminate the possibility of shoulder surfing. However, fingerprints or facial recognition-based systems in smartphones may not be applicable in a pandemic situation like Covid-19, where hand gloves or face masks are mandatory to protect against unwanted exposure of the body parts. This paper investigates the situations in which fingerprints cannot be utilized due to hand gloves and hence presents an alternative biometric system using the multimodal Touchscreen swipe and Keystroke dynamics pattern. We propose a HandGlove mode of authentication where the system will automatically be triggered to authenticate a user based on Touchscreen swipe and Keystroke dynamics patterns. Our experimental results suggest that the proposed multimodal biometric system can operate with high accuracy. We experiment with different classifiers like Isolation Forest Classifier, SVM, k-NN Classifier, and fuzzy logic classifier with SVM to obtain the best authentication accuracy of 99.55% with 197 users on the Samsung Galaxy S20. We further study the problem of untrained external factors which can impact the user experience of authentication system and propose a model based on fuzzy logic to extend the functionality of the system to improve under novel external effects. In this experiment, we considered the untrained external factor of ‘sanitized hands’ with which the user tries to authenticate and achieved 93.5% accuracy in this scenario. The proposed multimodal system could be one of the most sought approaches for biometrics-based authentication in smartphones in a COVID-19 pandemic situation.

Design a sturdy and secure authentication scheme capable of early detection of COVID-19 patients using WBANs

<p>COVID-19 was first reported in China Wuhan and rapidly grown up to more than 58 countries based on the World Health Organization (WHO). Well ahead of any health emergency, the health care server has the ability to access these data via authorization and then s/he performs necessary actions. In order to protect medical data from malicious activities, authentication is the starting point for this. Authentication systems represent a network support factor to reduce ineffective users and radically eliminate phishing because authentication determines the identity of the real user. Many schemes and technologies have been suggested for authentication in wireless body area networks (WBANs). In this paper, we suggest a strong dynamic password authentication system for WBANs. We adopt a (different/new) way to calculate a password and make it coherent and dynamic for each login session. Our work also provides additional security properties to get rid of hub node impersonation attacks and resolve key escrow issues. Our scheme resist fishing attach which keep patient from any illegal change of drugs. By comparison, the proposed scheme is considered active and has strong security based on formal security analysis tools such as AVISPA.</p>

Three Level Graphical Password Authentication System with File Encryption

One of the major problems in today’s word is security. Security threats can be seen everywhere in the whole world. From the beginning we just use single level authentication but it is not giving much security. To provide more security, Three Level Graphical Password Authentication System (TLGPAS) used. This is the more secure idea to implement three level password authentications for real users. Usually, textual password is generally used for authentication and password is one of the most used techniques to recognize all computers and other communication devices. The process of graphical password is choosing images then come in to the textual characters. In image password, user have to use the image for password. Clicking in different places on image user set password. Picture password there - first user have to select an image in jpg format to use as a password and then user can set the password by clicking on the image in different places. We generally know that graphical password is not easy to predict and it is quite difficult.

ENHANCED GRAPHICAL PASSWORD AUTHENTICATION SYSTEM IN BANKING SECTOR

A bank plays a essential role in people s life and security of the customer is the most important. In order to protect the user account the authentication must be secured. The generalmethod which is used is textual password. Graphical Password technique is used to enhance the security of the banking website and to provide an alternative to the alphanumeric password techniques. There is a lot of security breaches can take placein a banking transaction. The Proposed methodis implemented to secure the transactions by executing three step verification processes. Passwords at multiple levels in the banking system ensure higher security. It eradicates unauthorized users at the very initial stages. Cued Click Point technique, Message Digest 5(MD5) algorithm and Reverse One Time Password are used to implement the enhanced graphical password authentication system. Multi-level passwords are proven to be more secure as compared with the current authentication techniques.

AN EFFICIENT AND SECURED GRAPHICAL AUTHENTICATION SYSTEM

Authentication through the use of passwords usually allow users to access resources in a computer or automated installations. However, remembering such passwords is often a problem for most users due to complex nature of most stong password. As a viable alternative, graphical passwords were introduced to complement the security problems in this method of authentication. Therefore, this papr proposes the concept of a graphical password authentication system using hybrid approach. This approach that allows users to identity a number of images during the registration process and then requested to draw a pattern on each image in a pre-defined order to complete the system approach. This process is represented via a three-stage scheme which consists of the Registration phase, the Login phase and the Authentication phase (RLA). The evaluation was carried out using the comparative study that involves generation of secure graphical password. This methodology is often refered to as Educating Users to Generate Secure Graphical Password Secrets (EUSGPAS). The evaluation involved 200 purposively selected participants who were made to use the new system over six weeks. Experimental results of ESGAS and EUSGPAS indicated a mean success rate of 100%, 97%, 100% and 99%, 96%, 98.9% with a mean completion time of 29.71s and 30.89s respectively. These results indicated the merits of the proposed method over the EUSGPAS approach.

Cobalt‐Nanoporous Carbon Functionalized Nanocomposite‐Based Triboelectric Nanogenerator for Contactless and Sustainable Self‐Powered Sensor Systems

AbstractTriboelectric nanogenerators (TENGs), which operate in contactless mode and avoid physical contact, are highly attractive for self‐powered sensor systems aiming to achieve long‐term reliable operation and reduce rubbing friction. Herein, an ultra‐flexible and high‐performance contactless double‐layer TENG (CDL‐TENG) is first designed and fabricated using a metal–organic framework‐based cobalt nanoporous carbon (Co‐NPC)/Ecoflex with MXene/Ecoflex nanocomposite layer for self‐powered sensor applications. The porous structure of the Co‐NPC provides a high‐surface‐area of the nanocomposite and the charge storage layer of the MXene/Ecoflex nanocomposite accumulates more negative charge to improve the functionality of the CDL‐TENG two and three times, respectively. Compared with Ecoflex film‐based TENGs, the fabricated CDL‐TENG exhibits an eight‐fold slower decay rate owing to charge trapping characteristics, which were confirmed by surface potential measurements. The CDL‐TENG shows excellent humidity and acceleration sensitivity of about 0.3 V/% and 2.06 Vs2 m−1. The CDL‐TENG also offers non‐contact position detection performance in the 20 cm range. Furthermore, the CDL‐TENG is successfully integrated with mobile‐vehicles and an intelligent robot to perform obstacle and human‐motion detection. Finally, a contactless door‐lock password authentication system was demonstrated. These multifunctional benefits make it useful for numerous applications, including artificial intelligence, human‐machine interfaces, and self‐powered sensors.

An Analytical Study of Graphical Password Authentication System

Normally for human psyche it is difficult to recollect text based secret phrase. Text based passwords are not difficult to figure on the grounds that the utilization of general arrangement of numbers, character and unique image, for that reason we carried out the Graphical Password Authentication System. In that we had utilized Image based and Pair based confirmation framework. First and foremost in Imaged based secret key client can pick pixels on that picture as secret key. For each picture just a single pixel is chosen. After choice one pixel change the picture select second pixel from second picture correspondingly clients select three pixels. In pair based secret key, client picks characters from sections and columns all the while from the matrix then, at that point getting that convergence point as a secret key. We have given rearranging choice to exchanging character arrangement it assists with forestalling the shoulder enduring assault, so we have improved security by utilizing PCCP and Imaged based secret key framework which having capacity of shield from the assailant, wafers and so.

Stability of password authentication in infocommunication networks

The article discusses distributed infocommunication networks, in which the interaction of users, application servers and databases is carried out. When accessing an infocommunication network, the first procedure is to authenticate the agents through their authentication by password mechanism. It is shown that for social networks with a large number of users, widely used assessment of the security of password systems based on the calculation of the determination probability is not sufficient. The probability of the same passwords for two users with a password length of 6, 7 and 8 characters with alphabet size of 36, 42 and 57 characters and the number of users no more than 10 million is shown. An assessment of the strength of password authentication systems for info-communication networks based on the birthday paradox criterion is given. It has been determined that well-known social networks with a number of users comparable to the number of passwords used are not resistant to birthday attacks. It is shown that for such systems the resistance of the password system to cracking should be assessed by m=A n/2 criterion.

REAL TIME EYE TRACKING FOR PASSWORD AUTHENTICATION

The Generality of today’s authentication systems, including password , fingerprint scanners and Personal Identification Number(PIN) entry, are based on one time, static authentication methods which are prone to attacks. Real time eye tracking contributes significantly for Patients who are incapacitated, internet study , gaze based password entry as well as house hold security applications. The use of real time eye tracking and password authentication system has a wider possibility for reliability, but in this case the system must be secure and restrained for Eye Detection and Tracking. For the user’s security and validation (authentication) personal identification numbers are used abroad thereby reducing the chances of being attacked. In static authentication methods , since the password has to be entered physically using PIN’s there are possibilities for tracking the password using shoulder surfing, in order to avoid this spy game of tracking the password , hands off gaze- based PIN entry techniques are used. The smart camera is used to detect the eye position and for Gaze-based PIN Identification thereby doing the data processing. This project is focused on a real time hands off and gaze based PIN entry , detecting the eye position and tracking the eye movement using the smart camera.