Star Link Communication Pvt. Ltd., India's leading manufacturer of biometric attendance system and access control system, brings you this slideshow about biometrics and how the technology works.
One of the most helpful presentation for academic and non academic purpose. This presentation can be presented for 40-45 mins. It contains both technical and non technical details of working of a fingerprint bio-metric scanner.
High protection ATM system with fingerprint identification technologyAlfred Oboi
This project was carried out at the College of Engineering, Design, Art and Technology, Makerere university Kampala Uganda
The main objective of this project was to come up with a more secure ATM system that will reduce on the ATM fraud.
Star Link Communication Pvt. Ltd., India's leading manufacturer of biometric attendance system and access control system, brings you this slideshow about biometrics and how the technology works.
One of the most helpful presentation for academic and non academic purpose. This presentation can be presented for 40-45 mins. It contains both technical and non technical details of working of a fingerprint bio-metric scanner.
High protection ATM system with fingerprint identification technologyAlfred Oboi
This project was carried out at the College of Engineering, Design, Art and Technology, Makerere university Kampala Uganda
The main objective of this project was to come up with a more secure ATM system that will reduce on the ATM fraud.
Biometric-based Security for Data Authentication in Wireless Body Area Networ...Shreyas Tote
The empowerment in wireless communication technologies and sensors have developed the Wireless Body Area Network (WBAN). The rapid growth in physiological sensors, low-power integrated circuits, and wireless communication has enabled a new invention of wireless sensor networks, now used for purposes such as monitoring traffic and health etc. Wireless body area network (BAN) is a promising technology for real-time monitoring of physiological signals to support medical applications. A security system to secure medical information communications using biometric features of the body in WBAN. In order to ensure the trustworthy and reliable gathering of patient’s critical health information, it is essential to provide node authentication servicing a BAN, which prevents an attacker from impersonation and false data/command injection. Biometrics refers to or metrics) related to human characteristics and traits. Biometrics identification (or biometric authentication) is used in computer science as a form of identification and access control. It is also used to identify individuals in groups that are under surveillance. Biometric identifiers are the distinctive, measurable characteristics used to label and describe individuals. Biometric identifiers are unique to individuals, they are more reliable in verifying identity than other method like token. Many different aspects of human physiology, chemistry or behavior can be used for biometric authentication.
5 Neuromarketing Techniques to Persuade Customers to ConvertUnbounce
Are you making the critical mistake of using only features, benefits, and logical arguments to convince your customers to buy? If so, you are only selling to 5% of each customer’s brain!
In this webinar, Roger Dooley, author of the best-selling book Brainfluence, will show you how to use simple techniques to appeal to the 95% of your customer’s decision-making that’s driven by non-conscious processes.
You'll learn:
-How design elements can look great but cut your conversions
-Why fighting friction is the cheapest way to increase conversions
-How your web developer may be planting conversion-killing landmines you'll never notice
-How to write copy that lights up your customer's brain
...plus, much more!
NEUROMARKETING - Dissertation (English version, presentation only)Valentin Oliver
Exhaustive research in which the pioneer medical of neurosciences team from Hospital Clinic de Barcelona, Hospital Sagrat Cor, Clinica Sagrada Familia have provided their background and research in this field; marketing professionals such as Mindmetic, Martin Linstrom; and contrasted with academic papers, journals with referee (i.e. AdAge, International Journal of Market Research, etc).
Research supervised and conducted by M.Tena, and done by Valentin Oliver (B.A. in IQS School of Management).
Smart Wireless Surveillance Monitoring using RASPBERRY PIKrishna Kumar
This is a slide about the smart surveillance monitoring system using raspberry pi.
It includes the full details of the procedure , component description and the screenshots
International Journal of Computational Engineering Research(IJCER)ijceronline
International Journal of Computational Engineering Research(IJCER) is an intentional online Journal in English monthly publishing journal. This Journal publish original research work that contributes significantly to further the scientific knowledge in engineering and Technology.
Feature Level Fusion of Multibiometric Cryptosystem in Distributed SystemIJMER
ABSTRACT: Multibiometrics is the combination of one or more biometrics (e.g., Fingerprint, Iris, and Face). Researchers
are focusing on how to provide security to the system, the template which was generated from the biometric need to be
protected. The problems of unimodal biometrics are solved by multibiometrics. The main objective is to provide a security to
the biometric template by generating a secure sketch by making use of multibiometric cryptosystem and which is stored in a
database. Once the biometric template is stolen it becomes a serious issue for the security of the system and also for user
privacy. In the existing approach, feature level fusion is used to combine the features securely with well-known biometric
cryptosystems namely fuzzy vault and fuzzy commitment. The drawbacks of existing system include accuracy of the biometric
need to be improved and the noises in the biometrics also need to be reduced. The proposed work is to enhance the security
using multibiometric cryptosystem in distributed system applications like e-commerce transactions, e-banking and ATM.
Keywords: Biometric Cryptosystem, Error correcting code, Fingerprint, Iris, Multibiometrics, Unimodal biometrics.
A Comparison Based Study on Biometrics for Human RecognitionIOSR Journals
Abstract: A biometric system provides automatic recognition of an individual based on a unique feature or
characteristic possessed by the individual. These biometric characteristic may physiological or behavioral.
Unlike other identification methods such as id proof, tokens and password, the distinct aspect of biometric
recognition comes into light from randomly distributed features in human being. In this paper, I describe the
novel comparison based upon various aspects to make easy selection for biometric device deployment in specific
environment. This paper proposes a comparison among all kind of biometric system available in the society.
The existing computer security systems used at various places like banking, passport, credit cards, smart cards,
PIN , access control and network security are using username and passwords for person identification.
Biometric systems also introduce an aspect of user convenience; it means one can be authorized by representing
himself or herself. In this paper, the main focus is on working principal of biometric technique, the various
biometrics systems and their comparisons.
Keywords: Biometrics, authentication, identification, recognition
“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.
International Journal of Engineering Research and Development (IJERD)IJERD Editor
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Enhancing the Cash Point using Multimode Biometric Systemijtsrd
Frauds attacking the automated teller machine have increased over the decade which has motivated us to use the biometrics for personal identification to procure high level of security and accuracy This paper describes a system that replaces the ATM cards and PINs by the physiological biometric face and iris authentication. In this system during enrolment the genuine users face and iris samples of are retained in the database. The process of transaction begins by getting and matching face and iris patterns. The system will automatically distinguish between real legitimate trait and fake samples. If a fake biometric is recognized a GSM module connected to the controller will message OTP by the system to the registered mobile number. After the valid OTP is entered the user can either withdraw or deposit cash or check his her balance. We have included another biometric called Palm Vien. By using Palm Vein we can access the ATM. Mr. T. Karthikeyan | Ms. Aarthi. S | Ms. Amirtha. P | Ms. Divya. R | Ms. Sowndarya. S ""Enhancing the Cash Point using Multimode Biometric System"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019, URL: https://www.ijtsrd.com/papers/ijtsrd21768.pdf
Paper URL: https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/21768/enhancing-the-cash-point-using-multimode-biometric-system/mr-t-karthikeyan
BIOMETRICS AUTHENTICATION TECHNIQUE FOR INTRUSION DETECTION SYSTEMS USING FIN...IJCSEIT Journal
Identifying attackers is a major apprehension to both organizations and governments. Recently, the most
used applications for prevention or detection of attacks are intrusion detection systems. Biometrics
technology is simply the measurement and use of the unique characteristics of living humans to distinguish
them from one another and it is more useful as compare to passwords and tokens as they can be lost or
stolen so we have choose the technique biometric authentication. The biometric authentication provides the
ability to require more instances of authentication in such a quick and easy manner that users are not
bothered by the additional requirements. In this paper, we have given a brief introduction about
biometrics. Then we have given the information regarding the intrusion detection system and finally we
have proposed a method which is based on fingerprint recognition which would allow us to detect more
efficiently any abuse of the computer system that is running.
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.
1. Network Security through Biometrics
Abstract:
Network Security is Protection of networks and their services from unauthorized
modification, destruction, or disclosure. It provides assurance the network performs its
critical functions correctly and there are no harmful side-effects. Network Security
now takes a giant loop as biometrics, a form of authentication using unique physical traits
of the user, enhances it towards the better. Biometrics is a relatively new term used to refer
to fingerprinting, retinal scans, voice wave patterns and various other unique biological traits
used to authenticate users. In this growing world the need for unique identification is very
important and this can be ensured only by biometrics.
Introduction
A biometric is defined as a unique, measurable, biological characteristic or trait for
automatically recognizing or verifying the identity of a human being. Statistically analyzing
these biological characteristics has become known as the science of biometrics. These
days, biometric technologies are typically used to analyze human characteristics for security
purposes. Five of the most common physical biometric patterns analyzed for security
purposes are the fingerprint, hand, eye, face, and voice.
The main advantages of biometrics over a standard system are:
Biometric traits cannot be forgotten or mislaid, and can be lost only through trauma
biometric traits are relatively difficult to copy, share and distribute pace the previous point,
biometric traits require the person being authenticated to be present at the time and point of
authentication Moreover biometric systems can be used in conjunction with passwords or
tokens, thus improving the security of existing systems without replacing them.
Biometric characteristics can be divided in two main classes:
1. Physiological are related to the shape of the body. The oldest traits that have been used
for more than 100 years are fingerprints. Other examples are face
recognition, hand geometry and iris recognition.
2. Behavioral are related to the behavior of a person. The first characteristic to be used, still
widely used today, is the signature. More modern approaches are the study of keystroke
dynamics and of voice.
Biometric Systems
The main operations a system can perform are enrollment and test. During the enrollment
biometric information of an individual are stored, during the test biometric information are
detected and compared with the stored ones.
The first block (sensor) is the interface between the real world and our system; it has to
acquire all the necessary data. Most of the times it is an image acquisition system, but it can
change according to the characteristics we want to consider.
The second block performs all the necessary pre-processing: it has to remove artifacts from
the sensor, to enhance the input (e.g. removing some noise), to use some kind of
normalization, etc.
In the third block we have to extract the features we need. This step is really important: we
have to choose which features to extract and how. Moreover we have to do it with a certain
efficiency.
Biometric systems can seem complicated, but they all use the same three
steps:
1. Enrollment: The first time you use a biometric system, it records basic information about
you, like your name or an identification number. It then captures an image or recording of
your specific trait.
2. Storage:
The system analyzes your trait and translates it into a code or graph. Some systems also
record this data onto a smart card that you carry with you.
3. Comparison: The next time you use the system, it compares the trait you present to the
information on file.
Overview of the Enrollment Process for Biometric Encryption
The objective of the enrollment procedure is to link an arbitrary N-bit key to the user’s finger
prints and create the user’s Bioscrypt.
Stage E-1 (Image Processing)
The objective of this stage of enrollment is to generate an output pattern, c0(x) to be passed
to E-2, as well as to generate stored filter function, Hstored(u).
Stage E-2 (Key linking)
The link algorithm is responsible for linking the output pattern, c0(x) with an N-bit key, k0.
Through this linking process a lookup table will be created and stored in Bioscrypt for using
in key retrieval during verification. There are various methods for linking k0 with c0(x), some
of which may incorporate the use of error correcting codes.
Stage E-3 (Identification code creation)
A requirement of the Biometric Encryption algorithm is that an incorrect key should be
produced when an attacker uses the system with another user’s Bioscrypt. The method is,
using the input N-bit key, k0, as an encryption key, encrypt S bits of the data. Hash the
encrypted text using a one-way hash function to create an identification code, id0. This
identity code should be stored in the Bioscrypt. The look up table and id0 are now appended
to Hstored(u) to complete construction of the Bioscrypt, which can be stored on any
conventional storage medium.
Overview of the verification process for Biometric Encryption
This process is similar to that of the enrollment process but the pattern is checked with the
existing once in the data base. The objective of the verification procedure is the successful
retrieval of the N-bit key for a legitimate user.
Stage V-1 (Image Processing)
Combine Hstored(u), from the Bioscrypt, with a new series of input fingerprint images to
create an output pattern, c1(x).
Stage V-2 (Key Retrieval)
Extraction of a key, k1, from c1(x) using the retrieval algorithm.
Stage V-3 (Key Validation)
Validate k1 by creating a new identification code, id1, and comparing it with id0.
If id1 = id0, then k1 = k0, with high probability and the access permission can be given. If
id1 ≠ id0, then k1 ≠ k0 and verification failed message is released.
Biometric Systems use three main components:
1. A sensor that detects the characteristic being used for identification.
2. A computer that reads and stores the information.
3. Software that analyzes the characteristic translates it into a graph or code and performs
the actual comparisons.
Fingerprints
Fingerprints are the oldest biometric characteristic known to everyone and this uses the
groves on the fingers (in general thumb finger) which are unique to every person. The latest
ThinkPadT43 uses this fingerprint as the password.
Handwriting
It seems like it would be easy to get a copy of someone's signature or the required password
and learn to forget it. But biometric systems don't just look at how you shape each letter;
they analyze the act of writing. They examine the pressure you use and the speed and
rhythm with which you write.
Voiceprints
To enroll in a voiceprint system, you either say the exact words or phrases that it requires, or
you give an extended sample of your speech so that the computer can identify you no matter
which words you say.
Vein Geometry
As with irises and fingerprints, a person's veins are completely unique. Twins don't have
identical veins, and a person's veins differ between their left and right sides.
Iris Scanning
Iris scanning can seem very futuristic, but at the heart of the system is a simple CCD digital
camera. It uses both visible and near-infrared light to take a clear, high-contrast picture of a
person's iris. With near-infrared light, a person's pupil is very black, making it easy for the
computer to isolate the pupil and iris.
Countermeasures
The Future of Biometrics
Biometrics can do a lot more than just determine whether someone has access to walk
through a particular door. Experts have advised people to scan their vital documents, like
birth certificates and social security cards, and store them in biometrically-secured flash
memory in the event of a national emergency. Here are some biometric technologies you
might see in the future: New methods that use DNA, nail bed structure, teeth, ear shapes,
body odor, skin patterns and blood pulses.
Conclusion
The modern rapid advancements in networking, communication and mobility increased the
need of reliable ways to verify the unique identity of any person.
Even if we use the best encrypting algorithm, the whole security is based on the key. If it is
too short, it is simple to guess it or crack it making several attempts, but if it is too
complicated it can't be remembered and the common user will keep it written somewhere, so
it can be lost or stolen. Those weaknesses of standard validation systems can be avoided if
our own body becomes our key.
Moreover biometric systems can be used in conjunction with passwords or tokens, thus
improving the security of existing systems without replacing them.
Presented by
ANANTH Kumar.G
LAXMI Narayana.K
SWETHA.B
(Gayatri Vidya Parishad College of Engineering
2/4, Information Technology)