Smart Authentication Research Articles

Immobilization of lanthanide-doped strontium aluminate into electrospun nanofibrous film of poly(vinyl chloride) and cellulose acetate hybrid towards smart authentication

Photochromic inks have proven an appealing authentication approach to boost the anti-counterfeiting efficiency of commercial products. However, photochromic inks have considerable drawbacks such as poor durability and high cost. Herein, we develop a cutting-edge anti-counterfeiting material using new photochromic nanofibers. Electrospun poly(vinyl chloride)/cellulose acetate (PVCA) hybrid nanofibrous (80–320 nm) films were used to encapsulate nanoparticles of lanthanide-doped strontium aluminate (NLSA; 4-14 nm). Durability and photostability were guaranteed by the current authentication nanofibrous films encapsulated with an inorganic photochromic agent. NLSA-encapsulated PVCA nanofibers (NLSA@PVCA) showed excellent reversibility and photostability. When varying the concentrations of NLSA, a wide variety of photochromic and afterglow PVCA nanofibers were created with distinct emission properties. Under normal lighting conditions, NLSA@PVCA was invisible, but under ultraviolet (UV) illumination, a green emission was detected. The photochromic fibrous films were analyzed in a number of analytical techniques to determine their structure and chemical composition. Paper coated with NLSA@PVCA was studied to learn more about its mechanical properties. The excitation wavelength was reported to be 365 nm, indicating transparency, while the emission wavelength was reported to be 520 nm, designating a green color. Anti-counterfeiting of commercialized goods can be accomplished with the help of the current PVCA nanofibrous film.

A Research Paper on Smart Authentication System for Identity Verification

Abstract: This research paper focuses on the creation of aweb application that employs modern techniques to authenticate and verify the identities of students and employees. In the era of digital transformation, conventional identification methods have become less effective. To overcome this challenge, the proposed solution leverages advanced biometric technologies like facial recognition and QR codes to ensure precise identification of individuals. Moreover, the application offers SMS and email notifications, along with a performance chart generated by machine learning to provide comprehensive user information.The

A SURVEY PAPER ON SMART AUTHENTICATION SYSTEM FOR IDENTITY VERIFICATION

This paper presents building an effective web application for authenticating and verifying a student or employee. In today’s world, carrying various plastic smart cards to prove your identity has become an integral part of everyday life. As the world is moving towards digital technology, traditional means of verification still exist. This paper specifies the use of technology to build a smart authentication system for identity verification. There is a clear need for technological solutions for a versatile national identity for all citizens. On traditional ID cards, one can easily manipulate the information, which is not acceptable at all. For this, we are using QR codes and Face Recognition based authentication systems to identify a person. Along with that, we are providing SMS service, E-Mail service, and a Performance Chart for user info in graphical format using Machine Learning

MULTILAYER AUTHENTICATION SYSTEM TO ACCESS VEHICLE USING FINGERPRINT AND FACE IDENTIFICATION WITH RASPBERRY PI

Vehicle security is a big issue worldwide. Vehicle manufacturing company provides ac-tive/passive RFID based remote key for door entry-level, and same is used engine ignition. Us-ing the master RFID signal reader device can read the active/passive signal remotely which are available in open market, this situation is very vulnerable to vehicle safety. The advantage of a multilayer authentication system is, it provides protection at entry level, So, if a door is not opened, neither engine turning on nor vehicle movement is possible, goods and personal be-longiness inside a vehicle remain safe. A smart authentication system is developed with a Rasp-berry pi development board, which is interfaced with fingerprint biometric, and camera mod-ules. This multilayer vehicle door security system provides an option for the use of anyone or both authentication level in logically ANDing mode, such as a driver can be utilizing security system for smart key, finger biometric, and face recognition. Multilayer authentication will re-strict unauthorized entry into the vehicle. The owner of the vehicle can set and use a multilayer authentication system as per the requirement. Once this system is installed in a vehicle, it will provide maximal level security at the preliminary stage as restricted entry from the door. In a laboratory environment, system implementation and testing were very successfully carried out and provided satisfying results. Multilayer authentication for Vehicle Door Access using Open-source devices will reduce the number of crimes significantly related to vehicle theft and unau-thorized access of the vehicle.

IoT Based Smart Attendance and Temperature Monitoring and Sanitization System

: With the rapid increase in covid-19 cases, the issues related to situation with respect to safety and precautions along with proper authorized persons is necessary. To avoid the spread of infectious diseases and illness, IoT based Smart authentication and temperature monitoring and sanitization system is the feasible and the trending solution. In the proposed system, the entrance of a particular firm or office will be provided with the embedded system which helps in real time monitoring and surveillance feature with proper sanitization. The data regarding the user’s personal information and temperature values will be used to provide information with respect to automated authentication and safety measures. The sensors will increase the efficiency of data gathered related to avoid spread of infectious diseases. The analysis of ceaseless data gathered from the system over cloud platform will help authorities to improve plans and measures related to the current situation.

Smart Authentication and Secured Engine Unlocking System for Automobiles

As human life started to evolve on this earth, the craving for smart automobiles has increased, and adding a vehicle security system to secure the automobile from theft in parking and in unsecured places is important. This paper proposes the design and development of smart system to prevent theft that uses biometric authentication to access the door and to start the engine of the automobile. This system initially uses the fingerprint module that takes the real time fingerprint of a person trying to open the vehicle door and compares it with the authorized person’s fingerprint and then allows or denies the access to door, and secondly the camera takes the image of a person trying to start the engine and compares with the authorized person’s image to allow or deny the access to the engine. In case of detection of unauthorized fingerprint, the GSM module sends the message to the owner and in case unauthorized person detected by camera it sends the captured image with alert message to owner. The system is developed using raspberry pi, GSM module, fingerprint module, pi camera, dc and servo motor.

A chemometric modeling-free near infrared barcode strategy for smart authentication and geographical origin discrimination of Chinese ginseng.

With the growing interest in alternative medicine, handy identification and differentiation of herbal medicines are becoming increasingly important. Here we report a chemometric modeling-free near infrared (NIR) barcode strategy for the smart identification and geographical origin discrimination of Chinese ginseng. The novel strategy demands the transformation of Chinese ginseng (standard and sample) NIR spectra into a barcode representation through assigning zero intensity to every NIR peak except the peaks having intensities greater than average peak intensity. Meanwhile, for Chinese ginseng standard NIR barcode, barcoding condition such as padding size was carefully optimized. It has been demonstrated that the padding size for each bar in the barcode is 8 cm-1. By comparing the percentage of nonzero overlap between Chinese ginseng standard barcode and sample barcodes, eight batches of samples (including Chinese ginseng, American ginseng and counterfeit) were successfully identified with 100% accuracy, respectively. Interestingly, the discrimination of the origin of ginsengs from three provinces (Jilin, Liaoning and Heilongjiang) of Northeastern China was achieved utilizing NIR barcode method. Two characteristic bars at 7750 and 8250 cm-1 were inspected in the ginseng sample from Jilin province, two specific bars at 6780 and 7015 cm-1 were displayed in the ginseng sample from Liaoning province and three distinct bars at 6560, 6910 and 7995 cm-1 were monitored in the ginseng sample from Heilongjiang province. The results indicate that the proposed method will be greatly expanded and applied as an inspecting platform for the on-site analysis and valid identification of Chinese ginseng in herbal markets by a handheld spectrometer or barcode scanner.

Securing visual search queries in ubiquitous scenarios empowered by smart personal devices

Smart personal devices are assuming a fundamental role in the ubiquitous communication and computing arena. They provide new sophisticated cameras and new visual search interfaces and facilities that can drastically improve their presence and role in complex IoT-based critical infrastructures, such as healthcare monitoring and emergency systems, or remote access control facilities and smart authentication services. This new scenario calls for strong secure and resilient visual query mechanisms for these devices. In this work we propose an innovative secure visual search system, which is well-suited for ubiquitous computing scenarios empowered by modern smart personal devices. More precisely, we show how to insert, at the visual data acquisition time, a watermark inside the already compressed descriptor characterizing an MPEG-CDVS data stream used in visual queries, to make it possible to decode the watermark on the server side in order to improve the robustness against image-based identity spoofing. Such a security enforcement solution may be practical in several real-life applications involving visual queries performed from personal trusted devices, and it is particularly suitable in all those application domains that require performing visual queries with a high degree of security. It has been extensively tested and achieved satisfactory results: the presence of such a watermark does not affect the image matching performance and functionality.

Implementation of System Environment for Smart Authentication Service

Implementation of System Environment for Smart Authentication Service

Secure Web Financial Transaction Methods and Smart Authentication with a Focus on Mobile Devices

In the preceding few years, new form of security threats has appeared to alter the confidential data between the user and the navigation program's security mechanism. Man-In-The-Bro wser (MITB) and Man-In-The-M iddle (MITM) are new form of Internet intimidations, typically a Tro jan horse program; interpolate itself between the user and the navigation program like Internet Exp lorer or Firefo x. They take over user access to the bank's web site despite of the sound and emphatic authentication method. In the current scenario of security threats extra up-to-the-minute protections are required to avoid security breach of financial data transaction on web. These attacks emphasize the need for financial organizations to securely authenticate users and ensure the integrity of web transactions in the face of a growing threat environment. In this paper we analy ze the Man In the Browser and Man In the Middle attacks and propose a solution based upon Digitally signing a transaction and using the mobile phones as a software token for Dig ital Signature code generation which pioneers an avenue of carrying out secure authentication fro m a mobile device to verify an authentic user to carry out financial transactions in a secure way on the WWW.

Soft-computing methods for robust authentication using soft-biometric data

Biometrics is the measurement of person’s physiological or behavioral characteristics. It enables authentication of a person’s identity using such measurements. Biometric-based authentication is thus becoming increasingly important in computer-based applications because the amount of sensitive data stored in such systems is growing. Particularly challenging is the implementation of biometric-based authentication in embedded computer system applications, because the resources of such systems are scarce. Reliability and performance are two primary requirements to be satisfied in embedded system applications. Single-mode and hard-feature-based biometrics do not offer enough reliability and performance to satisfy such requirements. Multimode biometrics is a primary level of improvement. Soft-biometric features can thus be considered along with hard-biometric features to further improve performance. A combination of soft-computing methods and soft-biometric data can yield more improvements in authentication performance by limiting requirements for memory and processing power. The multi-biometric approach also increases system reliability, since most embedded systems can capture more than one physiological or behavioral characteristic. A multi-biometric platform that combines voiceprint and fingerprint authentication was developed as a reference model to demonstrate the potential of soft-computing methods and soft-biometric data. Hard-computing pattern-matching algorithms were applied to match hard-biometric features. Artificial neural network (ANN) processing was applied to match soft-biometric features. Both hard-computing and soft-computing matching results are inferred by a fuzzy logic engine to perform smart authentication using a decision-fusion paradigm. The embedded implementation was based on a single-chip, floating-point, digital signal processor (DSP) to demonstrate the practical embeddability of such an approach and the improved performance that can be attained despite limited system resources.

A secure multipath routing protocol in mobile ad hoc networks

AbstractMultipath routing can adapt to traffic changes, increase reliability and enhance the Quality of Service support in communication networks. This routing algorithm has been recognized as one of the salient features in Mobile Ad hoc Networks (MANETs). However, existing multipath routing protocols are often practically infeasible due to its security venerability if they suffer from attacks in MANETs, such as repudiation attacks, Denial of Service attacks. In this paper we propose a novel secure multipath routing protocol, referred to as SMRP, and investigate its feasibility and performance. SMRP applies a new heuristic algorithm increasing the number of disjoint paths and a smart authentication mechanism to enhance the security against the attacks in MANETs. The performance results from extensive analysis and experiments show that SMRP can efficiently enhance the security in MANETs while preserving the low overhead of computing and communication. Copyright © 2009 John Wiley & Sons, Ltd.