Multimodal biometric systems are those that utilize more than one physical or behavioural characteristic for enrolment , verification, or identification.
Multimodal biometric systems are those that utilize more than one physical or behavioural characteristic for enrolment , verification, or identification.
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.
Keystroke dynamics, or typing dynamics, is the detailed timing information that describes exactly when each key was pressed and when it was released as a person is typing at a computer keyboard.
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.
Keystroke dynamics, or typing dynamics, is the detailed timing information that describes exactly when each key was pressed and when it was released as a person is typing at a computer keyboard.
INTRODUCTION
FACE RECOGNITION
CAPTURING OF IMAGE BY STANDARD VIDEO CAMERAS
COMPONENTS OF FACE RECOGNITION SYSTEMS
IMPLEMENTATION OF FACE RECOGNITION TECHNOLOGY
PERFORMANCE
SOFTWARE
ADVANTAGES AND DISADVANTAGES
APPLICATIONS
CONCLUSION
Bhusan Chettri explains how we can use unique VOICE for automatic authentication and given an overview of challenges towards the security of voice authentication systems.
Authentication System Based on the Combination of Voice Biometrics and OTP Ge...ijtsrd
Authentication is the process by which the identity of an individual is verified. Voice authentication is the verification of identity based on the analysis of an individual's voice. Voice authentication has various advantages, but it is seldom implemented due its shortcomings as compared to other forms of biometric authentication. In this paper we have discussed about the approach for the implementation of voice authentication system through the combination of OTP to increase its real world applicability and reduce its shortcomings. Tridib Mondal | Praveen Kumar Pandey "Authentication System Based on the Combination of Voice Biometrics and OTP Generation" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-4 , June 2020, URL: https://www.ijtsrd.com/papers/ijtsrd31595.pdf Paper Url :https://www.ijtsrd.com/computer-science/computer-security/31595/authentication-system-based-on-the-combination-of-voice-biometrics-and-otp-generation/tridib-mondal
Voice biometrics uses the voice of humans to identify and authenticate them. Banks, finance companies, and many other firms are using voice biometrics since it simple and secure.
From Voice Biometrics Conference San Francisco (May 8-9, 2013): A single factor is seldom enough to establish high confidence levels when identifying a specific individual. Learn how the security services in Ecuador specified and then implemented a system that combines voice biometrics and facial recognition in a unique way to support their law enforcement efforts. -- Alexey Khitrov, Strategic Development Director, Speech Technology Center
VOICE BIOMETRIC IDENTITY AUTHENTICATION MODEL FOR IOT DEVICESijsptm
Behavioral biometric authentication is considered as a promising approach to securing the internet of things (IoT) ecosystem. In this paper, we investigated the need and suitability of employing voice recognition systems in the user authentication of the IoT. Tools and techniques used in accomplishing voice recognition systems are reviewed, and their appropriateness to the IoT environment are discussed. In the end, a voice recognition system is proposed for IoT ecosystem user authentication. The proposed system has two phases. The first being the enrollment phase consisting of a pre-processing step where the noise is removed from the voice for the enrollment process, the feature extraction step where feature traits are extracted from user’s voice, and the model training step where the voice model is trained for the IoT user. And the second being the phase verifies whether the identity claimer is the owner of the IoT device. Based on the resources limitedness of the IoT technologies, the suitability of text-dependent voice recognition systems is promoted. Likewise, the use of MFCC features is considered in the proposed system.
Recognizing the fact usernames passwords are the weakest link in an.docxdanas19
Recognizing the fact usernames passwords are the weakest link in an organization’s security system because username and password are shareable, and most passwords and usernames are vulnerable and ready to be cracked with a variety of methods using adopting a record number of devices and platforms connected to the Internet of Things daily and at an alarming rate.
Provide the all-inclusive and systematic narratives of the impact of physical biometric operations on the current and future generation.
An Integrated Approach of Physical Biometric Authentication System
Objective
Per Fennelly (2017), every human being is created differently with physical and behavioral traits that are unique; and everyone’s fingerprints, iris, facial feature and body types are entirely different from one another. The effective and efficient use of biometric technology will play a key role in automating a new method of identifying living person based on individual physiological and behavioral characteristics. Protecting sensitive information from vulnerable access by unauthorized users is paramount in our digital world and attempting to identify and mitigating such operation is becoming very challenging and troubling to the entire human society.
Biometric authentication-based identity is playing a vital role in security operations. Traditional authentication approach used to identity logon, logout, username, passwords are no longer enough to battle the identity and security crisis. Physical Biometric processes often allow the authentication of an individual personal data to be stored in a document format for future references. The comparison is often used to determine whether the biometric characteristics of individual match the previously information recorded in the document. Physical biometric systems have proven to be very effective in verification and identification processes.
Physical biometric identification and recognition processes are classified in three groupings including acquisition, feature extraction and comparison. Traditionally, biometric characteristics are acquired through measurements, such as a camera, microphone, fingerprint scanner, gathering of specific characteristics and creation of digital representation, photograph, a voice recording and scanned fingerprint. Most naturally significant areas supporting physical biometric process include corners of the eyes, mouth, nose, chin and likely to be identified by human inspection and through an automated biometric process.
Biometric Access Control is a security system used to provides conditional access after scanning for unique physical characteristics including installing Biometric Access at ATM’s and other public facilities to safeguard financial data. Indeed, when faces, fingers, irises and veins are scanned such data are converted into digital format and a complex algorithm is used to make a match. Such physical biometric processes .
The voice-activated technology has gained a lot of importance in the last decade. It is an important aspect of communication which is crystal clear. To improve customer service systems and upgrade their internal processes, a lot of businesses have adopted the new style of working.
Information security is concerned with the
assurance of confidentially, integrity and availability of
information in all forms. This is the ancient Greek word:
bios = “life” and metron = “measure.” In the present day
world, online shopping using WAP enabled mobile phone
has widely come into use. Credit cards serve as the currency
during e-business and e-Shopping. As the Hacking or
Spoofing or the Misuse of the credit card is continuously
increasing even you are using a secure network. Also, some
Spam software is sent to your system or device through the
internet that helps spammers to get the
desires relevant information about your credit card and
financial data. To solve these problems or get out of these
insecurities the Bio-metric System that provides the secure
E-transaction by improving the prevention of data spoofing.
So in this paper, we have proposed a multi-biometric model
(integrating voice, fingerprint and facial scanning) that can
be embedded in a mobile phone, this making e-transactions
more secure.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
2. Outline of Presentation
Introduction to voice biometrics
The history of voice recognition and its
milestones
How voice biometric works
Benefits and problems that voice
recognition encounters
Current applications and the future of
this technology
3. Introduction to Voice
Biometrics
-Voice biometrics is a growing technology in
computer security
-It uses a measurable, physical characteristic, or
personal behavioral trait to verify and authenticate
an individual
-It uses what you are as a way to identify yourself
-Compares two (2) samples of data and verifies
if they match
4. Speech Recognition
vs
Speaker Verification
-The most important
difference is that:
-Speech recognition
identifies what you are
saying
-Speaker verification
verifies that you are who
you say you are
5. Speech Recognition
A speech recognition
system is designed to
assist the speaker in
accomplishing what that
person wants to do
6. Speaker Verification
However, if an
application needs to
know who is
speaking, then it must
authenticate the
person and verify that
he or she is in fact that
person
7. Combining Speech
recognition and speaker
verification
Speech recognition
and speaker
verification systems
are combined to
create voice
biometric systems
8. History of voice
recognition
-Radio Rex who was created by the
Elmwood Button Company in 1922
-During the 1940’s and 1950’s the
United States Department of Defense
and MIT became the largest
contributors to the speech recognition
field
-In the 1960’s and 1970’s, the
technology can be attributed to the
educational institutions
-Today, voice recognition systems are
important
9. Voices are Unique
-Voice recognition systems must be able to
distinguish between various people’s voices
-Frequency and Intensity
-Training our body’s nasal and oral passages, as
well as our lips, teeth, tongue, and jaw muscles
12. Verification Process
The voiceprint is then
stored as a table of
numbers, where the
presence of each
dominant frequency in
each segment is
expressed as a binary
number. Since all table
entries are either a 1 or
0, each column can be
read bottom to top as a
long binary code.
13. Trying to Fool Voice
Recognition Systems
-Voice biometrics should be able to tell the differences
between real and fake users
-One of the concerns about voice recognition systems is
the threat of recording a person’s voice
-Anti-spoofing is the key!
-Challenge Response Mechanism
14. Benefits of Voice
Recognition Systems
-Another layer of security
for computer systems
-Produces a more efficient
and cost effective
environment
-Saves costs: Employee’s
do not need ID access cards
-Saves time for companies
15. Problems with Voice
Recognition
Biometrics over one’s
-Human voices do not necessarily remain the same
lifetime
-Uses of microphones
-Environmental noise
-Poor phone, or cellular connections
-Vocal variations: accents
-Telephone devices: voice samples are converted and transferred
from an analog format to a digital format for processing
16. Current Applications
of Voice Biometrics
-Security system for physical access entry
into a building
-Corrections industries: inmates on parole
-Telephone companies use voice-enabling
services
-Voice verification in telephone banking:
ATM machines
-Voice verification in credit cards
17. Voice Recognition on
the Rise
-Voice recognition applications are slowly growing
-Vocent Solutions, Inc. suggested that:
(1) Telephones are the primary means by which consumers will
conduct financial transactions and access financial account information
(2) Consumers know about the problem of identity theft
(3) Consumers feel that PIN Numbers and passwords are not secure
enough
(4) A strong amount of concern exists when communicating
confidential information over the telephone
(5) As a result of these security concerns and fears, consumers would
be willing to participate in a voice recognition system, and also feel that
it could potentially reduce fraud as well as identity theft
19. More Statistics
-Voice recognition is
on the rise as it has
slowly been
improving on its
accuracy rates and
meeting users’ needs
for applications
20. Conclusion
The main purpose and benefit of a voice recognition system
is the amount of security that it provides. Although voice
recognition is mostly secure, it still has flaws. To aid its
acceptance, this biometric system can be combined with
more traditional security features to provide an additional
layer of security. These can include using other biometrics,
or security mechanisms such as RSA, PINs or a combination
of several different mechanisms. Through further
development, voice recognition can be one of the most
successful and largest applications of biometrics in the future
to come.
In this biometric system a device captures a sample from a user
and then compare it against the data contained in its database.
The system then decides how well the two match and indicates
whether or not an identification or verification has been achieved