Biometrics and multi-factor authentication are growing areas. Issues with biometrics include that they are not perfectly reliable and can reveal private medical information. While biometrics offer convenience, security professionals recommend not relying on biometrics alone and combining them with other authentication methods. The biometrics market is growing rapidly due to increased usage on mobile devices and a push for more convenient authentication.
The document discusses optimizing a face recognition model for processing images from multiple IP cameras with low memory usage and fast response times. It proposes using the LBPH face recognition algorithm with a database structure to match faces from the camera stream to trained images. Tests were able to recognize faces from a wireless camera with 95% accuracy using this approach on Google Cloud servers. Future work could involve object recognition, surveillance applications, and using deep learning models.
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
Face recognition is a biometric technology that goes beyond just detecting human faces in an image or video. It goes a bit further to determine whose face it is. A face recognition system works by taking an image of a face and predicting whether the face matches another face stored in a dataset (or whether a face in one image matches a face in another). Created By Suman Ahemed Saikan
Biometric authentication is one of the most popular and accurate technology. Now a days, it is used in many real time applications. However, recognizing finger prints in Linux based embedded computers (raspberry pi) is still a very complex problem. This entire work is done on the Linux based embedded computer called raspberry pi, in which database creation, fingerprint reader access, authentication and recognition using python were entirely done on raspberry pi This paper discusses on the standardized authentication model which is capable of extracting the finger prints of individual and store that in database . Then the use of final finger print to match with others in finger prints present in the database to show the capability of this model and also updating the database obtained to the organisation by creating an application through cloud. Pradeep Kumar M S | Dr. K. Suresh | Indumati T | Kishor kumar R"Smart Attendance System using Raspberry Pi" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-5 , August 2017, URL: http://www.ijtsrd.com/papers/ijtsrd2306.pdf http://www.ijtsrd.com/computer-science/bioinformatics/2306/smart-attendance-system-using-raspberry-pi/pradeep-kumar-m-s
IRJET- Study on: Advancement of Smartphone Security by using Iris Scan DetectionIRJET Journal
This document summarizes research on using iris scanning to improve smartphone security. It discusses how iris scanning works by capturing high-resolution photos of a person's iris using infrared cameras. These photos are analyzed to extract over 200 unique data points about the iris's patterns, curves, and features to generate a unique iris code for identification. When the user attempts to access their phone, it takes a new iris scan and compares the generated code to the saved code to authenticate the user. The research presented a prototype system using onboard cameras and found iris scanning to be a promising approach for hands-free interaction and access on mobile devices, though it has limitations like needing close proximity and being more expensive than other biometric options.
Biometrics and multi-factor authentication are growing areas. Issues with biometrics include that they are not perfectly reliable and can reveal private medical information. While biometrics offer convenience, security professionals recommend not relying on biometrics alone and combining them with other authentication methods. The biometrics market is growing rapidly due to increased usage on mobile devices and a push for more convenient authentication.
The document discusses optimizing a face recognition model for processing images from multiple IP cameras with low memory usage and fast response times. It proposes using the LBPH face recognition algorithm with a database structure to match faces from the camera stream to trained images. Tests were able to recognize faces from a wireless camera with 95% accuracy using this approach on Google Cloud servers. Future work could involve object recognition, surveillance applications, and using deep learning models.
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
Face recognition is a biometric technology that goes beyond just detecting human faces in an image or video. It goes a bit further to determine whose face it is. A face recognition system works by taking an image of a face and predicting whether the face matches another face stored in a dataset (or whether a face in one image matches a face in another). Created By Suman Ahemed Saikan
Biometric authentication is one of the most popular and accurate technology. Now a days, it is used in many real time applications. However, recognizing finger prints in Linux based embedded computers (raspberry pi) is still a very complex problem. This entire work is done on the Linux based embedded computer called raspberry pi, in which database creation, fingerprint reader access, authentication and recognition using python were entirely done on raspberry pi This paper discusses on the standardized authentication model which is capable of extracting the finger prints of individual and store that in database . Then the use of final finger print to match with others in finger prints present in the database to show the capability of this model and also updating the database obtained to the organisation by creating an application through cloud. Pradeep Kumar M S | Dr. K. Suresh | Indumati T | Kishor kumar R"Smart Attendance System using Raspberry Pi" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-5 , August 2017, URL: http://www.ijtsrd.com/papers/ijtsrd2306.pdf http://www.ijtsrd.com/computer-science/bioinformatics/2306/smart-attendance-system-using-raspberry-pi/pradeep-kumar-m-s
IRJET- Study on: Advancement of Smartphone Security by using Iris Scan DetectionIRJET Journal
This document summarizes research on using iris scanning to improve smartphone security. It discusses how iris scanning works by capturing high-resolution photos of a person's iris using infrared cameras. These photos are analyzed to extract over 200 unique data points about the iris's patterns, curves, and features to generate a unique iris code for identification. When the user attempts to access their phone, it takes a new iris scan and compares the generated code to the saved code to authenticate the user. The research presented a prototype system using onboard cameras and found iris scanning to be a promising approach for hands-free interaction and access on mobile devices, though it has limitations like needing close proximity and being more expensive than other biometric options.
Case study on Usage of Biometrics (Cryptography)Bhargav Amin
This document provides an overview of biometrics and biometric authentication systems. It discusses the history of biometrics, how biometric systems work, performance considerations, different biometric modalities like fingerprints, face recognition and iris recognition. It also covers factors to consider when deciding whether to use biometric technology, different types of biometric systems, and examples of biometric implementation in areas like ATMs, law enforcement and networking. The document aims to provide a comprehensive look at biometrics and its usage.
This document discusses vulnerabilities in biometric recognition systems. It begins by noting that while biometrics offer promise for authentication, spoofing attacks remain too easy. It then provides examples of recent fingerprint and facial spoofing attacks against Samsung and iPhone devices. The document outlines different types of presentation attacks and discusses presentation attack detection methods. It also explains how machine learning systems can be deceived through adversarial examples and perturbations. The document notes vulnerabilities in using biometrics on mobile devices and discusses how templates and systems must evolve for stronger security. It concludes by mentioning the potential role of blockchain.
Biometrics Authentication Using Raspberry PiIJTET Journal
This document discusses a biometrics authentication system using fingerprint recognition on a Raspberry Pi. It uses a fingerprint reader module connected to a Raspberry Pi. Fingerprint images are captured using a GUI application and converted to binary templates. The templates are stored in a PostgreSQL database. A Python script is used to match fingerprints by comparing templates and identifying matching ridge patterns between fingerprints. The system was able to accurately match fingerprints from the same finger and distinguish fingerprints from different fingers based on the ridge patterns. Future work involves improving the matching accuracy and developing the system for real-time high-end applications.
This document discusses research progress in mobile fingerprint template protection. It covers three main schemes: biometric key generation, fuzzy schemes, and non-invertible transforms. Biometric key generation aims to directly derive cryptographic keys from fingerprints to avoid storing biometric features or secret keys. Fuzzy schemes hide secrets within public information so keys can be retrieved through biometric matching. Non-invertible transforms store transformed biometric features instead of the original template. The document analyzes the advantages and limitations of different schemes and points out open issues for future research in mobile fingerprint template protection.
1. The document discusses facial recognition systems and algorithms. It provides details on how facial recognition works, factors to consider when selecting a biometric system, and performance metrics.
2. It then describes two algorithms for facial recognition - one based on spatial domain matching of pixel values, and another using discrete wavelet transform on preprocessed images.
3. Results on the JAFFE database show the first algorithm achieves equal error rates between 0-20% and true match rates of 80-100%, depending on the number of images used.
Security for Identity Based Identification using Water Marking and Visual Cry...IRJET Journal
This document discusses using watermarking and visual cryptography for secure identity-based authentication. It proposes embedding an iris image using a watermarking algorithm and visual cryptography techniques for protection. Feature extraction and binomial distribution analysis are used to evaluate false acceptance and rejection rates to validate two algorithms, MASEK and Ma, for iris recognition on noisy images. The document also discusses discrete cosine transform (DCT) and discrete wavelet transform (DWT) techniques for image processing and compression in iris recognition systems.
A novel fast-chaff-point-generation-method-using-bioinspired-flower-pollinati...Karthikeyan Ece venkatesan
This document summarizes a research paper that proposes a new fast method for generating chaff points using a bio-inspired flower pollination algorithm for fuzzy vault systems used in wireless body area sensor networks. Fuzzy vaults are used to securely store a cryptographic key by binding it to biometric data, like physiological signals. Existing chaff point generation methods are computationally expensive. The proposed method uses a flower pollination algorithm to generate chaff points much faster, in just 0.49 milliseconds. It provides a concise yet high-level overview of the background, related work, and proposed fast chaff point generation method using bio-inspired algorithms.
Biometrics system penetration in mobile devicesSwapnil Jagtap
Biometrics is the automated identification or verification of human identity through the measurement of repeatable physiological or behavioral characteristics.
Keyloggers are a invasive software often used to harvest secret information. One of the main reasons for
this fast growth is the possibility for unprivileged programs running in the user space to secretly steal and record all the
keystrokes typed by the users on a system. The ability to run in unprivileged mode makes possible their implementation
and distribution. but, at the same time, allows one to understand and imitate their behavior in detail.
Facial recognition systems have advanced significantly since first being developed in the 1960s. The software measures distinguishing landmarks on faces such as distance between eyes, nose width, and jawline to create a unique "faceprint". Emerging 3D facial recognition is more accurate as it can recognize faces from different angles. Current uses include law enforcement matching faces in crowds and at borders. Future applications may include employee time tracking and prison visitor screening.
We offer you free sample questions along answers prepared by the professionals of the IT field. You can easily pass your CISSP Test with our Training Kits. For more info please visit here: http://www.certsgrade.com/pdf/CISSP/
This document describes an iris recognition system implemented using National Instruments LabVIEW for secure voting. The system has four main stages: 1) image acquisition using an infrared camera, 2) iris localization by detecting circles in the iris image, 3) pattern matching to extract an iris code, and 4) authentication by matching the iris code to a database. The database stores voter information and iris codes in an encrypted format. On voting day, the system matches the voter's ID and captured iris image to the database to verify their identity before allowing them to vote. The system aims to provide more secure identity verification than traditional password or ID systems.
The document summarizes a proposed method for enhancing iris scanning security using visual cryptography. It begins with an abstract describing iris scanning biometrics and the issue of securely storing templates in a database. It then proposes using visual cryptography to divide scanned iris images into shares that are stored instead of the original template. The document provides background on iris scanning and visual cryptography. It describes the proposed system architecture which uses visual cryptography to generate two shares from the iris template during enrollment - one stored in the database and one kept privately. During authentication, the iris is rescanned and compared to the stored share template for verification. Future work could extend this approach to work with color iris images. The visual cryptography method is concluded to generate meaningful shares for more secure and
“Enhancing Iris Scanning Using Visual Cryptography”iosrjce
IOSR Journal of Computer Engineering (IOSR-JCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of computer engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in computer technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
A survey paper on various biometric security system methodsIRJET Journal
This document summarizes various biometric security systems for identification. It discusses fingerprint recognition, iris recognition, and face recognition methods. It provides an overview of different approaches that have been proposed, including using watermarking, edge detection techniques, adaptive boosting algorithms, and fuzzy logic. The document also analyzes the drawbacks of previous methods and proposes using a multimodal biometric system that fuses fingerprints, iris, and face for more secure identification. Overall, the document surveys different biometric identification techniques and highlights that a multimodal approach can help overcome limitations of individual methods.
IRJET- Secure Vault System using Iris Biometrics and PIC MicrocontrollerIRJET Journal
This document describes a secure vault system using iris biometrics and a PIC microcontroller for authentication. The system works by capturing iris images, segmenting the iris region, extracting features from the iris, and matching features to stored templates to authenticate users. When a match is found, the locker number is sent via RF transmitter to a robot, which then opens the corresponding locker. The system aims to provide a more secure and convenient alternative to traditional locker systems.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
The document describes a proposed 3D password authentication scheme. The scheme would present users with a 3D virtual environment containing various objects that they could interact with. A user's 3D password would be the specific sequence of interactions with different objects in the environment, such as typing on a virtual keyboard, providing fingerprint authentication at a device, or selecting radio channels in a virtual car. The scheme aims to combine elements of textual passwords, graphical passwords, biometrics, and tokens into a single 3D environment. Designing the virtual environment and selecting distinct object types and locations would determine the size of the possible password space. The scheme is presented as an alternative to traditional authentication methods that aims to be more secure, usable and flexible.
This document is a seminar report on an iris recognition biometric security system. It provides an abstract that describes iris recognition technology and how it is used for biometric identification. It then discusses the key components of an iris recognition system, including image acquisition, preprocessing, image analysis, and image recognition. It also compares iris recognition to other biometric technologies and discusses applications of iris recognition systems.
This document provides an overview of blind authentication, a secure crypto-biometric authentication protocol. It begins with an introduction discussing the primary concerns with biometric authentication systems, such as template protection, user privacy, trust issues between users and servers, and network security. It then reviews related work on addressing these concerns. The document proceeds to explain the blind authentication process, which involves feature extraction, enrollment with a trusted third party, and authentication between a user and server. Features of blind authentication include strong encryption for template protection and privacy while maintaining authentication accuracy. Advantages are template security, non-repudiation, and revocability.
Behavioural biometrics and cognitive security authentication comparison studyacijjournal
Behavioural
biometrics is a scien
tific study with the primary purpose of identifying the authenticity of a
user based on the way they interact with an authentication mechanism. While Association based password
authentication is a cognitive model of authentication system.
The work done shows the implementation of Keyboard Latency technique for Authentication,
implementation of Association Based Password authentication and comparison among two. There are
several forms of behavioural biometrics such as voice analysis, signat
ure verification, and keystroke
dynamics. In this study, evidence is presented indicating that keystroke dynamics is a viable method not
only for user verification, but also for identification as well. The work presented in this model borrows
ideas from th
e bioinformatics literature such as position specific scoring matrices (motifs) and multiple
sequence alignments to provide a novel approach to user verification and identification within the context
of a keystroke dynamics based user authentication system
. Similarly Cognitive approach can be defined in
many ways of which one is association based Technique for authentication
Case study on Usage of Biometrics (Cryptography)Bhargav Amin
This document provides an overview of biometrics and biometric authentication systems. It discusses the history of biometrics, how biometric systems work, performance considerations, different biometric modalities like fingerprints, face recognition and iris recognition. It also covers factors to consider when deciding whether to use biometric technology, different types of biometric systems, and examples of biometric implementation in areas like ATMs, law enforcement and networking. The document aims to provide a comprehensive look at biometrics and its usage.
This document discusses vulnerabilities in biometric recognition systems. It begins by noting that while biometrics offer promise for authentication, spoofing attacks remain too easy. It then provides examples of recent fingerprint and facial spoofing attacks against Samsung and iPhone devices. The document outlines different types of presentation attacks and discusses presentation attack detection methods. It also explains how machine learning systems can be deceived through adversarial examples and perturbations. The document notes vulnerabilities in using biometrics on mobile devices and discusses how templates and systems must evolve for stronger security. It concludes by mentioning the potential role of blockchain.
Biometrics Authentication Using Raspberry PiIJTET Journal
This document discusses a biometrics authentication system using fingerprint recognition on a Raspberry Pi. It uses a fingerprint reader module connected to a Raspberry Pi. Fingerprint images are captured using a GUI application and converted to binary templates. The templates are stored in a PostgreSQL database. A Python script is used to match fingerprints by comparing templates and identifying matching ridge patterns between fingerprints. The system was able to accurately match fingerprints from the same finger and distinguish fingerprints from different fingers based on the ridge patterns. Future work involves improving the matching accuracy and developing the system for real-time high-end applications.
This document discusses research progress in mobile fingerprint template protection. It covers three main schemes: biometric key generation, fuzzy schemes, and non-invertible transforms. Biometric key generation aims to directly derive cryptographic keys from fingerprints to avoid storing biometric features or secret keys. Fuzzy schemes hide secrets within public information so keys can be retrieved through biometric matching. Non-invertible transforms store transformed biometric features instead of the original template. The document analyzes the advantages and limitations of different schemes and points out open issues for future research in mobile fingerprint template protection.
1. The document discusses facial recognition systems and algorithms. It provides details on how facial recognition works, factors to consider when selecting a biometric system, and performance metrics.
2. It then describes two algorithms for facial recognition - one based on spatial domain matching of pixel values, and another using discrete wavelet transform on preprocessed images.
3. Results on the JAFFE database show the first algorithm achieves equal error rates between 0-20% and true match rates of 80-100%, depending on the number of images used.
Security for Identity Based Identification using Water Marking and Visual Cry...IRJET Journal
This document discusses using watermarking and visual cryptography for secure identity-based authentication. It proposes embedding an iris image using a watermarking algorithm and visual cryptography techniques for protection. Feature extraction and binomial distribution analysis are used to evaluate false acceptance and rejection rates to validate two algorithms, MASEK and Ma, for iris recognition on noisy images. The document also discusses discrete cosine transform (DCT) and discrete wavelet transform (DWT) techniques for image processing and compression in iris recognition systems.
A novel fast-chaff-point-generation-method-using-bioinspired-flower-pollinati...Karthikeyan Ece venkatesan
This document summarizes a research paper that proposes a new fast method for generating chaff points using a bio-inspired flower pollination algorithm for fuzzy vault systems used in wireless body area sensor networks. Fuzzy vaults are used to securely store a cryptographic key by binding it to biometric data, like physiological signals. Existing chaff point generation methods are computationally expensive. The proposed method uses a flower pollination algorithm to generate chaff points much faster, in just 0.49 milliseconds. It provides a concise yet high-level overview of the background, related work, and proposed fast chaff point generation method using bio-inspired algorithms.
Biometrics system penetration in mobile devicesSwapnil Jagtap
Biometrics is the automated identification or verification of human identity through the measurement of repeatable physiological or behavioral characteristics.
Keyloggers are a invasive software often used to harvest secret information. One of the main reasons for
this fast growth is the possibility for unprivileged programs running in the user space to secretly steal and record all the
keystrokes typed by the users on a system. The ability to run in unprivileged mode makes possible their implementation
and distribution. but, at the same time, allows one to understand and imitate their behavior in detail.
Facial recognition systems have advanced significantly since first being developed in the 1960s. The software measures distinguishing landmarks on faces such as distance between eyes, nose width, and jawline to create a unique "faceprint". Emerging 3D facial recognition is more accurate as it can recognize faces from different angles. Current uses include law enforcement matching faces in crowds and at borders. Future applications may include employee time tracking and prison visitor screening.
We offer you free sample questions along answers prepared by the professionals of the IT field. You can easily pass your CISSP Test with our Training Kits. For more info please visit here: http://www.certsgrade.com/pdf/CISSP/
This document describes an iris recognition system implemented using National Instruments LabVIEW for secure voting. The system has four main stages: 1) image acquisition using an infrared camera, 2) iris localization by detecting circles in the iris image, 3) pattern matching to extract an iris code, and 4) authentication by matching the iris code to a database. The database stores voter information and iris codes in an encrypted format. On voting day, the system matches the voter's ID and captured iris image to the database to verify their identity before allowing them to vote. The system aims to provide more secure identity verification than traditional password or ID systems.
The document summarizes a proposed method for enhancing iris scanning security using visual cryptography. It begins with an abstract describing iris scanning biometrics and the issue of securely storing templates in a database. It then proposes using visual cryptography to divide scanned iris images into shares that are stored instead of the original template. The document provides background on iris scanning and visual cryptography. It describes the proposed system architecture which uses visual cryptography to generate two shares from the iris template during enrollment - one stored in the database and one kept privately. During authentication, the iris is rescanned and compared to the stored share template for verification. Future work could extend this approach to work with color iris images. The visual cryptography method is concluded to generate meaningful shares for more secure and
“Enhancing Iris Scanning Using Visual Cryptography”iosrjce
IOSR Journal of Computer Engineering (IOSR-JCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of computer engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in computer technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
A survey paper on various biometric security system methodsIRJET Journal
This document summarizes various biometric security systems for identification. It discusses fingerprint recognition, iris recognition, and face recognition methods. It provides an overview of different approaches that have been proposed, including using watermarking, edge detection techniques, adaptive boosting algorithms, and fuzzy logic. The document also analyzes the drawbacks of previous methods and proposes using a multimodal biometric system that fuses fingerprints, iris, and face for more secure identification. Overall, the document surveys different biometric identification techniques and highlights that a multimodal approach can help overcome limitations of individual methods.
IRJET- Secure Vault System using Iris Biometrics and PIC MicrocontrollerIRJET Journal
This document describes a secure vault system using iris biometrics and a PIC microcontroller for authentication. The system works by capturing iris images, segmenting the iris region, extracting features from the iris, and matching features to stored templates to authenticate users. When a match is found, the locker number is sent via RF transmitter to a robot, which then opens the corresponding locker. The system aims to provide a more secure and convenient alternative to traditional locker systems.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
The document describes a proposed 3D password authentication scheme. The scheme would present users with a 3D virtual environment containing various objects that they could interact with. A user's 3D password would be the specific sequence of interactions with different objects in the environment, such as typing on a virtual keyboard, providing fingerprint authentication at a device, or selecting radio channels in a virtual car. The scheme aims to combine elements of textual passwords, graphical passwords, biometrics, and tokens into a single 3D environment. Designing the virtual environment and selecting distinct object types and locations would determine the size of the possible password space. The scheme is presented as an alternative to traditional authentication methods that aims to be more secure, usable and flexible.
This document is a seminar report on an iris recognition biometric security system. It provides an abstract that describes iris recognition technology and how it is used for biometric identification. It then discusses the key components of an iris recognition system, including image acquisition, preprocessing, image analysis, and image recognition. It also compares iris recognition to other biometric technologies and discusses applications of iris recognition systems.
This document provides an overview of blind authentication, a secure crypto-biometric authentication protocol. It begins with an introduction discussing the primary concerns with biometric authentication systems, such as template protection, user privacy, trust issues between users and servers, and network security. It then reviews related work on addressing these concerns. The document proceeds to explain the blind authentication process, which involves feature extraction, enrollment with a trusted third party, and authentication between a user and server. Features of blind authentication include strong encryption for template protection and privacy while maintaining authentication accuracy. Advantages are template security, non-repudiation, and revocability.
Behavioural biometrics and cognitive security authentication comparison studyacijjournal
Behavioural
biometrics is a scien
tific study with the primary purpose of identifying the authenticity of a
user based on the way they interact with an authentication mechanism. While Association based password
authentication is a cognitive model of authentication system.
The work done shows the implementation of Keyboard Latency technique for Authentication,
implementation of Association Based Password authentication and comparison among two. There are
several forms of behavioural biometrics such as voice analysis, signat
ure verification, and keystroke
dynamics. In this study, evidence is presented indicating that keystroke dynamics is a viable method not
only for user verification, but also for identification as well. The work presented in this model borrows
ideas from th
e bioinformatics literature such as position specific scoring matrices (motifs) and multiple
sequence alignments to provide a novel approach to user verification and identification within the context
of a keystroke dynamics based user authentication system
. Similarly Cognitive approach can be defined in
many ways of which one is association based Technique for authentication
International Journal of Engineering Research and Applications (IJERA) aims to cover the latest outstanding developments in the field of all Engineering Technologies & science.
International Journal of Engineering Research and Applications (IJERA) is a team of researchers not publication services or private publications running the journals for monetary benefits, we are association of scientists and academia who focus only on supporting authors who want to publish their work. The articles published in our journal can be accessed online, all the articles will be archived for real time access.
Our journal system primarily aims to bring out the research talent and the works done by sciaentists, academia, engineers, practitioners, scholars, post graduate students of engineering and science. This journal aims to cover the scientific research in a broader sense and not publishing a niche area of research facilitating researchers from various verticals to publish their papers. It is also aimed to provide a platform for the researchers to publish in a shorter of time, enabling them to continue further All articles published are freely available to scientific researchers in the Government agencies,educators and the general public. We are taking serious efforts to promote our journal across the globe in various ways, we are sure that our journal will act as a scientific platform for all researchers to publish their works online.
This document discusses various biometric identification techniques including 3D facial recognition, iris recognition, and keystroke dynamics. It provides details on how each method works, advantages, limitations, and applications. 3D facial recognition involves capturing a facial image and transforming it into a unique face print using elastic graph matching algorithms to allow identification from several meters away. Iris recognition uses the colored iris surrounding the eye which is stable over a person's lifetime allowing identification with low error rates. Keystroke dynamics analyzes typing patterns such as keystroke duration and pressure to continuously authenticate computer users with minimal hardware requirements.
This document presents information on biometrics technology. It discusses various biometric methods of verification including fingerprint, hand print, face measurement, retinal scanning, and DNA analysis. It also covers behavioral verification methods like typing, signature, and voice. The document discusses identification, applications, advantages, and limitations of biometrics technology. It provides percentages of usage of different verification methods and concludes that biometrics provides good security despite some limitations and expenses.
Answer below questions in 250 to 300 words each.a) In no les.docxYASHU40
Answer below questions in 250 to 300 words each.
a) In no less than 250 words, describe a hacking tool that is used to gain access to a network. Explain how the tool is used, how it works and how a network administrator can prevent this tool from access the network.
b) Many people believe that the use of biometrics is an invasion of privacy. For example, an eye scanning device records the inner structure of a person’s eye and stores that image in a database. Critics worry that databases of human traits used to maintain corporate security may actually pose a privacy threat to individuals, if such data were used in other ways. In your view, are such concerns justified? Why or why not?
c) Some common biometric techniques include:
Fingerprint recognition
Signature dynamics
Iris scanning
Retina scanning
Voice prints
Face recognition
Select one of these biometric techniques and explain the benefits and the vulnerabilities associated with that method in 3-4 paragraphs.
.
Biometrics have several vulnerabilities as a form of authentication:
1. Fingerprints and iris scans can be spoofed using inexpensive and easily accessible materials, undermining their security.
2. Biometric characteristics are not revocable and change over time due to aging and environmental factors, violating principles of identity systems.
3. Technical vulnerabilities exist where the biometric sensor interfaces with the authentication system, allowing fake biometric data to be replayed.
A PROJECT REPORT ON IRIS RECOGNITION SYSTEM USING MATLABMaria Perkins
1. Iris recognition is a reliable biometric authentication method that uses the unique patterns in the iris to identify individuals.
2. Previous work has focused on detecting fake irises using techniques like analyzing image quality features, extracting texture features from the iris, and applying weighted local binary patterns.
3. Detecting fake irises using printed contact lenses is challenging but important for security. Methods have analyzed features like iris edge sharpness, iris-texton histograms, and gray-level co-occurrence matrices to differentiate real and fake irises.
4. Combining local descriptors like SIFT with local binary patterns can improve fake iris detection performance by making the approach
This document summarizes the process of iris recognition for biometric authentication. It begins with image acquisition of the iris using a camera. Next, iris localization is performed to isolate the iris region from the rest of the eye image. Finally, pattern matching is done by converting the iris image into a numeric iris code template using Gabor wavelets to extract distinguishing features of the iris texture and patterns. This iris code provides a highly accurate means of identifying individuals due to the richness of distinguishing details in the iris structure.
Survey on Graphical Password by Image Segmentation 2021 2022ijtsrd
The most common computer authentication method is using alphanumeric usernames and passwords. It has been shown that this method has significant disadvantages. For example, users tend to choose passwords that are easy to guess. On the other hand, when a password is hard to guess, its often hard to remember. To address this problem, some researchers have developed authentication methods that use images as passwords. In this article, I have provided a comprehensive overview of existing graphical password techniques. These techniques fell into two categories recognition based and memory based approaches. I will discuss the strengths and limitations of each method and point out future research directions in this area. I will also try to answer two important questions Are graphical passwords as secure as text based passwords What are the main problems in the design and implementation of graphical passwords This survey is useful for information security researchers and professionals interested in finding an alternative to text based authentication methods. Eshita Agrawal | Dr. Vijaykumar A "Survey on Graphical Password by Image Segmentation 2021-2022" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-6 | Issue-3 , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd49837.pdf Paper URL: https://www.ijtsrd.com/computer-science/computer-security/49837/survey-on-graphical-password-by-image-segmentation-20212022/eshita-agrawal
A Novel Biometric Technique Benchmark Analysis For Selection Of Best Biometri...CSCJournals
A biometric security is a technique by means of which digital contents are protected by a cryptographic key generated from the biometric features of a person like Retina, Iris, Fingerprint, Face, Voice and so on. Normally the digital contents like documents are protected by a cryptographic key generated from a unique password. The process in irreversible, i.e the key can be generated from the password but not the vice versa. Passwords are relatively easy to hack as most of the users keep their personal information like date of birth as password and also password length has a limit as human beings cannot remember a password of significantly large length. Hence guessing the password of a user, whose significant information is available, is easier. Therefore off late lot of emphasis has been given to biometric features. Biometric features of no two people are same. For example the finger prints or the face of any two people differ. Hence if a template (alphanumeric or binary representation of features from a biometric data) is selected for the key generation than cracking them for accessing information becomes significantly difficult. But as with every advantage comes certain limitations also. The keys are not time invariant. Templates tends to change based on the data acquisition, or with time. For example the finger prints or palm prints changes with ages. Iris, retina and face features changes with change in light intensity during the acquisition phase. Fingerprint features changes with change in the orientation of the finger while scanning. In a classic authentication problem, such variability’s can be easily dealt with by keeping a threshold for the acceptance of the features. Such acceptance threshold is not applicable for the case of biometric templates. Even slightest of the variability in the templates changes the generated key, therefore causing a high false rejection rate. Hence in this work we analyze the most accepted biometric features and techniques for key generation and propose the most invariable technique in terms of data acquisition invariability. The work analyzes Iris, Face, Fingerprint and Palm prints for analysis of the biometric template generation and key generation form the templates. Further a unique benchmark analysis technique is proposed for quantifying the quality of a biometric model or features.
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Chapter wise All Notes of First year Basic Civil Engineering
Syllabus
Chapter-1
Introduction to objective, scope and outcome the subject
Chapter 2
Introduction: Scope and Specialization of Civil Engineering, Role of civil Engineer in Society, Impact of infrastructural development on economy of country.
Chapter 3
Surveying: Object Principles & Types of Surveying; Site Plans, Plans & Maps; Scales & Unit of different Measurements.
Linear Measurements: Instruments used. Linear Measurement by Tape, Ranging out Survey Lines and overcoming Obstructions; Measurements on sloping ground; Tape corrections, conventional symbols. Angular Measurements: Instruments used; Introduction to Compass Surveying, Bearings and Longitude & Latitude of a Line, Introduction to total station.
Levelling: Instrument used Object of levelling, Methods of levelling in brief, and Contour maps.
Chapter 4
Buildings: Selection of site for Buildings, Layout of Building Plan, Types of buildings, Plinth area, carpet area, floor space index, Introduction to building byelaws, concept of sun light & ventilation. Components of Buildings & their functions, Basic concept of R.C.C., Introduction to types of foundation
Chapter 5
Transportation: Introduction to Transportation Engineering; Traffic and Road Safety: Types and Characteristics of Various Modes of Transportation; Various Road Traffic Signs, Causes of Accidents and Road Safety Measures.
Chapter 6
Environmental Engineering: Environmental Pollution, Environmental Acts and Regulations, Functional Concepts of Ecology, Basics of Species, Biodiversity, Ecosystem, Hydrological Cycle; Chemical Cycles: Carbon, Nitrogen & Phosphorus; Energy Flow in Ecosystems.
Water Pollution: Water Quality standards, Introduction to Treatment & Disposal of Waste Water. Reuse and Saving of Water, Rain Water Harvesting. Solid Waste Management: Classification of Solid Waste, Collection, Transportation and Disposal of Solid. Recycling of Solid Waste: Energy Recovery, Sanitary Landfill, On-Site Sanitation. Air & Noise Pollution: Primary and Secondary air pollutants, Harmful effects of Air Pollution, Control of Air Pollution. . Noise Pollution Harmful Effects of noise pollution, control of noise pollution, Global warming & Climate Change, Ozone depletion, Greenhouse effect
Text Books:
1. Palancharmy, Basic Civil Engineering, McGraw Hill publishers.
2. Satheesh Gopi, Basic Civil Engineering, Pearson Publishers.
3. Ketki Rangwala Dalal, Essentials of Civil Engineering, Charotar Publishing House.
4. BCP, Surveying volume 1
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How to Make a Field Mandatory in Odoo 17Celine George
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2. Section 1: Sec One (1 to 250)
Details: Topic 1, Access Control
QUESTION: 1
A potential problem related to the physical installation of the Iris Scanner in regards
to the usage of the iris pattern within a biometric system is:
A. Concern that the laser beam may cause eye damage.
B. The iris pattern changes as a person grows older.
C. There is a relatively high rate of false accepts.
D. The optical unit must be positioned so that the sun does not shine into the
aperture.
Answer: D
Explanation:
Because the optical unit utilizes a camera and infrared light to create the images, sun
light can impact the aperture so it must not be positioned in direct light of any type.
Because the subject does not need to have direct contact with the optical reader,
direct light can impact the reader. An Iris recognition is a form of biometrics that is
based on the uniqueness of a subject's iris. A camera like device records the patterns
of the iris creating what is known as Iriscode. It is the unique patterns of the iris that
allow it to be one of the most accurate forms of biometric identification of an
individual. Unlike other types of biometics, the iris rarely changes over time.
Fingerprints can change over time due to scaring and manual labor, voice patterns
can change due to a variety of causes, hand geometry can also change as well. But
barring surgery or an accident it is not usual for an iris to change. The subject has a
high-resoulution image taken of their iris and this is then converted to Iriscode. The
current standard for the Iriscode was developed by John Daugman. When the subject
attempts to be authenticated an infrared light is used to capture the iris image and
this image is then compared to the Iriscode. If there is a match the subject's identity
is confirmed. The subject does not need to have direct contact with the optical reader
so it is a less invasive means of authentication then retinal scanning would be.
Reference:
(s) used for this question: AIO, 3rd edition, Access Control, p 134
AIO, 4th edition, Access Control, p 182
Wikipedia - http://en.wikipedia.org/wiki/Iris_recognition
The following answers are incorrect:
CISSP
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3. Concern that the laser beam may cause eye damage. The optical readers do not use
laser so, concern that the laser beam may cause eye damage is not an issue.
The iris pattern changes as a person grows older. The question asked about the
physical installation of the scanner, so this was not the best answer. If the question
would have been about long term problems then it could have been the best choice.
Recent research has shown that Irises actually do change over time:
http://www.nature.com/news/ageing- eyes-hinder-biometric-scans-110722
There is a relatively high rate of false accepts. Since the advent of the Iriscode there
is a very low rate of false accepts, in fact the algorithm used has never had a false
match. This all depends on the quality of the equipment used but because of the
uniqueness of the iris even when comparing identical twins, iris patterns are unique.
QUESTION: 2
In Mandatory Access Control, sensitivity labels attached to object contain what
information?
A. The item's classification
B. The item's classification and category set
C. The item's category
D. The items's need to know
Answer: B
Explanation:
The following is the correct answer: the item's classification and category set.
A Sensitivity label must contain at least one classification and one category set.
Category set and Compartment set are synonyms, they mean the same thing. The
sensitivity label must contain at least one Classification and at least one Category. It
is common in some environments for a single item to belong to multiple categories.
The list of all the categories to which an item belongs is called a compartment set or
category set.
The following answers are incorrect:
The item's classification. Is incorrect because you need a category set as well.
The item's category. Is incorrect because category set and classification would be
both be required.
The item's need to know. Is incorrect because there is no such thing. The need to
know is indicated by the catergories the object belongs to. This is NOT the best
answer.
Reference:
(s) used for this question:
CISSP
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4. OIG CBK, Access Control (pages 186 - 188)
AIO, 3rd Edition, Access Control (pages 162 - 163) AIO, 4th Edition, Access
Control, pp 212-214
Wikipedia - http://en.wikipedia.org/wiki/Mandatory_Access_Control
QUESTION: 3
Which of the following is true about Kerberos?
A. It utilizes public key cryptography.
B. It encrypts data after a ticket is granted, but passwords are exchanged in plain
text.
C. It depends upon symmetric ciphers.
D. It is a second party authentication system.
Answer: C
Explanation:
Kerberos depends on secret keys (symmetric ciphers). Kerberos is a third party
authentication protocol. It was designed and developed in the mid 1980's by MIT. It
is considered open source but is copyrighted and owned by MIT. It relies on the
user's secret keys. The password is used to encrypt and decrypt the keys.
The following answers are incorrect:
It utilizes public key cryptography. Is incorrect because Kerberos depends on secret
keys (symmetric ciphers).
It encrypts data after a ticket is granted, but passwords are exchanged in plain text.
Is incorrect because the passwords are not exchanged but used for encryption and
decryption of the keys.
It is a second party authentication system. Is incorrect because Kerberos is a third
party authentication system, you authenticate to the third party (Kerberos) and not
the system you are accessing.
Reference: s:
MIT http://web.mit.edu/kerberos/
Wikipedi http://en.wikipedia.org/wiki/Kerberos_%28protocol%29
OIG CBK Access Control (pages 181 - 184) AIOv3 Access Control (pages 151 -
155)
QUESTION: 4
Which of the following is needed for System Accountability?
CISSP
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5. A. Audit mechanisms.
B. Documented design as laid out in the Common Criteria.
C. Authorization.
D. Formal verification of system design.
Answer: A
Explanation:
Is a means of being able to track user actions. Through the use of audit logs and
other tools the user actions are recorded and can be used at a later date to verify
what actions were performed. Accountability is the ability to identify users and to be
able to track user actions.
The following answers are incorrect:
Documented design as laid out in the Common Criteria. Is incorrect because the
Common Criteria is an international standard to evaluate trust and would not be a
factor in System Accountability.
Authorization. Is incorrect because Authorization is granting access to subjects, just
because you have authorization does not hold the subject accountable for their
actions.
Formal verification of system design. Is incorrect because all you have done is to
verify the system design and have not taken any steps toward system accountability.
Reference: s:
OIG CBK Glossary (page 778)
QUESTION: 5
What is Kerberos?
A. A three-headed dog from the egyptian mythology.
B. A trusted third-party authentication protocol.
C. A security model.
D. A remote authentication dial in user server.
Answer: B
Explanation:
Is correct because that is exactly what Kerberos is.
The following answers are incorrect:
CISSP
5 http://www.troytec.com
6. A three-headed dog from Egyptian mythology. Is incorrect because we are dealing
with Information Security and not the Egyptian mythology but the Greek
Mythology. A security model. Is incorrect because Kerberos is an authentication
protocol and not just a security model. A remote authentication dial in user server. Is
incorrect because Kerberos is not a remote authentication dial in user server that
would be called RADIUS.
CISSP
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