Facial recognition systems work by measuring facial characteristics from images to create unique templates for identifying individuals. 2D recognition uses front-facing images while 3D recognition can identify faces from different angles using depth analysis. Facial recognition is used for security like CCTV, transportation like passports, and entertainment like photo tagging. Concerns include privacy issues and inaccuracies from variables like lighting, but developments continue in applications like targeted advertising.
Main stage presentation from the smart city conference Nordic Edge in Stavanger. On tech trends, ethical issues and how to build a more resilient way of handling the surveillance capitalism.
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This solution overview discusses solving Security Information and Event Management (SIEM) challenges with RSA Security Analytics, which enables security analysts to be effective in protecting an organization’s digital assets and IT systems.
In Knowledge Management (KM), what is missing is 'Knowledge' but only Data. The old Data Management is called Knowledge Management reducing Knowledge into Data. Explains Theories of Knowledge Consumption and Production, Knowmatics and Knowledge Industry. Too much Data is injurious to mental health of children who need Knowledge, not Information.
RSA Monthly Online Fraud Report -- February 2014EMC
This report discusses the latest global trends in phishing and cybercrime. In January, phishing losses to global organizations is estimated at $387 million.
Compliance settings, formerly known as DCM, remains one of the often unexplored features in Configuration Manager. During this session we will walk through the new capabilities and improvements of this feature in ConfigMgr 2012, discuss implementation details, and demonstrate how you can start using it to fulfill actual business requirements.
Forrester: How Organizations Are Improving Business Resiliency with Continuou...EMC
This analyst report describes reasons why adoption of continuous availability is rapidly increasing, citing research on benefits they believe they can realize in their IT environment.
This solution overview discusses solving Security Information and Event Management (SIEM) challenges with RSA Security Analytics, which enables security analysts to be effective in protecting an organization’s digital assets and IT systems.
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National AI Centre, Responsible AI and Responsible AI Network
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My speech at ECB / Be@Ware about security at home: digital profiling, emotion recognition, personal information hacking, and everyday life profiling technologies available today around you
What do you need to think about before bringing advanced technology into your community, library or organization? How do you introduce it to staff? Will they worry about being replaced or losing their jobs? And how do you get machines to operate at optimal efficiency? Machines need to learn to be effective, whether it’s Siri, Alexa, or Watson. And people have to adapt to the machines. Join us and learn more!
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- 67% of executives say AI will help humans and machines work together to be stronger using both artificial and human intelligence.
- 65% think that AI would free employees from menial tasks.
- 27% of executives say their organization plans to invest within a year in cybersecurity safeguards that use AI and machine learning.
So is Artificial Intelligence going to provide safety for us?
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This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
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Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
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- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
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The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
8. What is it?
Facial recognition systems are built on
computer programs that analyze images of
human faces for the purpose of identifying
them.
9. How does it work?
Measure specific facial characteristics to
create unique file called “template”
Using templates, compare image to another
image
Produces a score on similarity
Video camera signals
Pre-existing photos
i.e. drivers license databases
10. 2D Facial Recognition
2D Recognition
Maximum angle: 35 degrees
Must be similar to program in database
Sometimes ineffective due to lighting changes
and other uncontrolled variables
11. 3D Recognition
3D Recognition
Can create template from face at 90 degree angle
More accurate
Uses depth and an axis of measurement not
affected by lighting
Example: Identix® - FaceIt®
Landmarks or nodal points
And now: FaceIt®Argus, skin biometrics
15. Security
Casinos
Super Bowl
Tampa, Fl. (2001): 19 people identified
London 2012 Olympics
MORIS
16. Transportation
Germany: Fully automated border controls
Australia: SmartGate
Compares the face of the individual with image in
the e-passport microchip
18. New Developments
ATM’s
Advertising & marketing
“Adidas is working with Intel to install and test digital walls with
facial recognition in a handful of stores either in the U.S. or Britain.
If a woman in her 50s walks by and stops, 60% of the shoes
displayed will be for females in her age bracket, while the other
40% will be a random sprinkling of other goods.
‘If a retailer can offer the right products quickly, people are more
likely to buy something,’ said Chris Aubrey, vice president of global
retail marketing for Adidas.”
20. Limitations
Not 100% accurate.
Accuracy can fluctuate because of:
picture quality
Lighting
camera positions
facial expressions
and more
21. Security Issues
Mistaken identity cases
Images cannot be used to convict suspects
The CCTV cameras in London
1 crime solved per 1000 cameras
23. MORIS
Mobile Offender Recognition and
Information System
Illegal search without a warrant
No information is stored
24. Facebook
Has roughly 600 million users
that means that Facebook has a database of 600
million faces.
Each time you “tag” a photo, Facebook learns
more about your face.
25. Google
Picasa uses the same tagging techniques
People fear a face recognition update to the
app Google Goggles.
the app may even be able to identify peoples SSNs
just from the photo.
-Age is an issue: a study by government’s National Insitute of Standards and Technology found false negative rates for face-recognition verification of 43 percent using photos from only 18 months earlier
Skin biometrics: surface texture analysis of texture of skin, uses algorithms to turn patch of skin into mathematical, measurable space Can define the differences between twins Many problems wouldn’t work if: significant glare on sunglasses, long hair in center of face, poor lighting, lack of resolution
detection: scans already existing 2d photograph or a shot from a 3D video Alignment: up to 90 degrees turned hereMeasurement: measures curves of face on submillimeter scale and creates a templateRepresentation: translates into unique code to create template with set of numbers to represent a person’s faceMatching: new technology converts 3D image into 2D image using algorithm to compare to 2D image in database
