2011 ITS World Congress - Location Data Signing – Protecting the Integrity and Authenticity of Positioning System Data
•Download as PPTX, PDF•
2 likes•260 views
Discussion of digital signature techniques for use in mobile apps to protect and authenticate location data (e.g., GPS data). Also includes benchmarking results to demonstrate the potential impact of such techniques on mobile device performance and battery life.
Report
Share
Report
Share
Recommended
SFScon 21 - Alessandro Farina - Open Source Digital Forensics Labs 102 – Go M...
SFScon 21 - Alessandro Farina - Open Source Digital Forensics Labs 102 – Go M...South Tyrol Free Software Conference
Digital forensics is a field of great interest for users, developers, CxO, law enforcement agencies, prosecutors, judges, lawyers. Very often the digital evidence analysis has a great impact on prosecutor decisions and people lives.
In all the talk made ad SFScon(s) we’re trying to help people understand what is digital forensics and how to do it avoiding the “black box” forensics and increase our awareness.
This year we’ll see briefly how to go mobile, acquiring messaging applications data (WhatsApp) in a forensically sound mode with ADB and learn how to do acquisition when no extraction is possible.
We’ll show data extraction with the APK Downgrade technique and screenshooting and video registration in case you’re unable to do anything else.OneBusAway - Issue reporting - Challenges and Improvements
This document discusses improving issue reporting through the OneBusAway mobile app. It outlines challenges with the current issue reporting process and proposes improvements. Specifically, it suggests directing users to the appropriate reporting channel based on their issue type and allowing replies to user reports. The improvements will be piloted in Tampa by modifying OneBusAway to submit issues via the Open311 standard to SeeClickFix, an issue tracking platform used by local agencies. Pinellas County agencies who use SeeClickFix will provide input on the pilot. The goal is to make issue reporting clearer for users and easier to manage.
Energy Smart Apps - Location-aware algorithms to save energy on mobile devices
The document describes several location-aware algorithms that can save energy on mobile devices:
1) A GPS Auto-Sleep algorithm dynamically adjusts the GPS sampling interval based on user movement speed and distance thresholds to reduce battery usage and data transfer.
2) A Critical Point Algorithm filters real-time GPS data on the mobile device before transmission, eliminating non-essential points to further reduce energy and data.
3) The algorithms were tested on mobile devices and shown to double battery life on average while maintaining high accuracy of location data for applications.
2010 USDOT FHWA Travel Model Improvement Program (TMIP) National Webinar on D...
Discussion of mobile devices and mobile applications as an opportunity for collecting travel behavior data. Benchmarking results of the potential implications of the use of GPS on battery life and data transfer are presented, as well as data analysis techniques.
USF Travel Options App
Brief overview of a student-driven project at USF to show travel options around the university via a responsible mobile web app, including options via bus, bike, walk, and bike share. Based on the OpenTripPlanner (http://www.opentripplanner.org/) open-source project, and uses data from OpenStreetMap (http://www.openstreetmap.org/) and General Transit Feed Specification (GTFS) and GTFS-realtime feeds. Also uses a real-time bike share
Beta version is available at:
http://mobullity.forest.usf.edu/index.html
See more details at:
https://www.locationaware.usf.edu/ongoing-research/projects/usf-travel-options-app/
Adding New Agencies to OneBusAway Tampa
This presentation provides an introduction to the OneBusAway open-source project (http://onebusaway.org/), and discusses the steps necessary to add a new agency to the OneBusAway Tampa system (http://tampa.onebusaway.org/).
Can the e-Mobility Charging Infrastructure be a Blueprint for other IoT Proje...
This document discusses using blockchain technology to improve the electric vehicle charging infrastructure and use of open data. It suggests that blockchains could be used to define data quality standards and service level agreements for charging providers. Smart contracts would enforce these rules and refund data providers based on how useful their data is. For example, routing services could publish possible electric vehicle routes on the blockchain using encrypted open data, and competitors could verify the data was correctly used to route vehicles. This could help incentivize high quality open data and services in electric mobility.
Big Data for Mobile Network Operator
This document discusses how mobile network operators (MNOs) can leverage big data from their networks. It notes that MNOs currently store different types of data in silos, making it difficult to access and analyze. Big data solutions allow consolidating this information into a single storage system. The document provides examples of how MNOs can monetize data sources like geolocation information by developing applications for marketing, security, traffic management and more. It also outlines Cubro's big data integration solutions for mobile networks, including how they capture, correlate and analyze real-time streaming data at scale from network elements.
Recommended
SFScon 21 - Alessandro Farina - Open Source Digital Forensics Labs 102 – Go M...
SFScon 21 - Alessandro Farina - Open Source Digital Forensics Labs 102 – Go M...South Tyrol Free Software Conference
Digital forensics is a field of great interest for users, developers, CxO, law enforcement agencies, prosecutors, judges, lawyers. Very often the digital evidence analysis has a great impact on prosecutor decisions and people lives.
In all the talk made ad SFScon(s) we’re trying to help people understand what is digital forensics and how to do it avoiding the “black box” forensics and increase our awareness.
This year we’ll see briefly how to go mobile, acquiring messaging applications data (WhatsApp) in a forensically sound mode with ADB and learn how to do acquisition when no extraction is possible.
We’ll show data extraction with the APK Downgrade technique and screenshooting and video registration in case you’re unable to do anything else.OneBusAway - Issue reporting - Challenges and Improvements
This document discusses improving issue reporting through the OneBusAway mobile app. It outlines challenges with the current issue reporting process and proposes improvements. Specifically, it suggests directing users to the appropriate reporting channel based on their issue type and allowing replies to user reports. The improvements will be piloted in Tampa by modifying OneBusAway to submit issues via the Open311 standard to SeeClickFix, an issue tracking platform used by local agencies. Pinellas County agencies who use SeeClickFix will provide input on the pilot. The goal is to make issue reporting clearer for users and easier to manage.
Energy Smart Apps - Location-aware algorithms to save energy on mobile devices
The document describes several location-aware algorithms that can save energy on mobile devices:
1) A GPS Auto-Sleep algorithm dynamically adjusts the GPS sampling interval based on user movement speed and distance thresholds to reduce battery usage and data transfer.
2) A Critical Point Algorithm filters real-time GPS data on the mobile device before transmission, eliminating non-essential points to further reduce energy and data.
3) The algorithms were tested on mobile devices and shown to double battery life on average while maintaining high accuracy of location data for applications.
2010 USDOT FHWA Travel Model Improvement Program (TMIP) National Webinar on D...
Discussion of mobile devices and mobile applications as an opportunity for collecting travel behavior data. Benchmarking results of the potential implications of the use of GPS on battery life and data transfer are presented, as well as data analysis techniques.
USF Travel Options App
Brief overview of a student-driven project at USF to show travel options around the university via a responsible mobile web app, including options via bus, bike, walk, and bike share. Based on the OpenTripPlanner (http://www.opentripplanner.org/) open-source project, and uses data from OpenStreetMap (http://www.openstreetmap.org/) and General Transit Feed Specification (GTFS) and GTFS-realtime feeds. Also uses a real-time bike share
Beta version is available at:
http://mobullity.forest.usf.edu/index.html
See more details at:
https://www.locationaware.usf.edu/ongoing-research/projects/usf-travel-options-app/
Adding New Agencies to OneBusAway Tampa
This presentation provides an introduction to the OneBusAway open-source project (http://onebusaway.org/), and discusses the steps necessary to add a new agency to the OneBusAway Tampa system (http://tampa.onebusaway.org/).
Can the e-Mobility Charging Infrastructure be a Blueprint for other IoT Proje...
This document discusses using blockchain technology to improve the electric vehicle charging infrastructure and use of open data. It suggests that blockchains could be used to define data quality standards and service level agreements for charging providers. Smart contracts would enforce these rules and refund data providers based on how useful their data is. For example, routing services could publish possible electric vehicle routes on the blockchain using encrypted open data, and competitors could verify the data was correctly used to route vehicles. This could help incentivize high quality open data and services in electric mobility.
Big Data for Mobile Network Operator
This document discusses how mobile network operators (MNOs) can leverage big data from their networks. It notes that MNOs currently store different types of data in silos, making it difficult to access and analyze. Big data solutions allow consolidating this information into a single storage system. The document provides examples of how MNOs can monetize data sources like geolocation information by developing applications for marketing, security, traffic management and more. It also outlines Cubro's big data integration solutions for mobile networks, including how they capture, correlate and analyze real-time streaming data at scale from network elements.
Big data for MNO
This document discusses how mobile network operators (MNOs) can leverage big data from their networks. It notes that MNOs currently store different types of data in silos, making it difficult to correlate. Big data solutions allow consolidating this information into a single storage system. The document provides examples of how MNOs can monetize data sources like geolocation information by developing applications for marketing, security, traffic management and more. It also outlines Cubro's capabilities for helping MNOs integrate and analyze network and subscriber data at scale.
Solving Cybersecurity at Scale
With the rise of IoT and the increasing complexity of applications, clouds, networks and infrastructure, the battle to keep your data and your infrastructure safe from attackers is getting harder. As groups of bad actors collaborate, sharing information and offering illegal access, and botnets as a service, terabits of attack can be launched cheaply. Meanwhile, it’s hard to find enough security analysts to catch and prevent these attacks.
This is where community collaboration and open source efforts like Apache Metron come in. Metron presents a comprehensive framework for application and network, security built on Apache Hadoop and open source Streaming Analytics(ie Apache Nifi, Apache Kafka) tool’s highly scalable data management and processing stacks. Advanced features like profiling, machine learning, and visualization work with real-time streaming detection to make your SOC analysts more efficient, while the intrinsic extensibility of open source helps your data scientists get security insights out of the lab and into production fast.
We will discuss and demonstrate how some real-world businesses and managed service providers are using Apache Metron to identify and solve security threats at scale, and some approaches and ideas for how the platform can fit into your security architecture.
Speaker: Laurence Da Luz, Senior Solutions Architect, Hortonworks
Location Based Encryption-Decryption Approach for Data Security
Data security is an important task in today‟s life. Data security can be done using GPS device. Among computer user mostly
use data in electronic format. How to provide a security for data is important. In this paper, we propose a Location Based Data-
Security System to secure data by applying Encryption-Algorithm and co-ordinate using GPS device. Encryption means of efficient
secure integer comparison. The encryption technology cannot restrict the location of data decryption. In order to meet the demand of a
location-dependent approach location-dependent data encryption algorithm is needed. A target latitude/longitude co-ordinate is
determined firstly. The co-ordinate is incorporated with a random key for data encryption. The receiver can only decrypt the cipher
text when the co-ordinate acquired from GPS receiver is matched with the target co-ordinate. GPS-based encryption is an innovative
technique that uses GPS-technology to encode location information into the encryption keys to provide location based security. GPSbased
encryption adds another layer of security on top of existing encryption methods by restricting the decryption of a message to a
particular location. Our experimental results not only validate the effectiveness of our scheme, but also demonstrate that the proposed
integer comparison scheme performs better than previous bitwise comparison scheme.
MSPA Europe - How digital technology changes mystery shopping (nfc, ir, qr co...
Digital technologies like NFC, QR codes, image recognition and geofencing can enhance mystery shopping and loss prevention programs. These technologies allow mobile apps to collect more data on site, generate efficiencies for shoppers, and communicate with the field in real time. Specifically, QR codes and NFC tags can be used to download apps and access surveys. Image recognition can be used for product verification and loss prevention tasks. Geofencing can automatically trigger surveys when shoppers enter certain areas. While these technologies provide benefits, mobile apps also require a powerful back office and addressing issues like network dependency and platform development costs.
Data in Motion - tech-intro-for-paris-hackathon
Slides used at the pre-Hackathon workshop for the Cisco Paris Innovation Center Hackathon - http://hackathon.cisco.com/event/PIRL-Hackathon-2015.
Get Ready for the Next Generation Diameter Signaling Controller (DSC)
Mobile telecommunications has a significant economic impact and the market is growing rapidly. Signaling protocols like Diameter contain valuable network data that can be used for more than just connectivity. A next-generation signaling controller can orchestrate signaling across networks and protocols to accelerate new services, drive down costs, enable roaming between technologies, and allow customized user experiences for competitive differentiation.
BBK LBS 2009 ET
This document provides an overview of location-based services, including:
- A brief history of how GPS and location technologies originated and evolved over time.
- Definitions of key concepts like positioning technologies, architectures, APIs and standards.
- Discussions of privacy issues and how user-generated location data enables new applications.
- Examples of common geoprocessing primitives like geocoding, proximity searching, and network analysis.
Big Data for Everyman
A presentation given by Erik Swan, CTO/Co-Founder of Splunk and Michael Wilde, Splunk NInja at the SXSW Interactive 2012 Conference on March 11, 2011
System Support for Internet of Things
It is an exciting time in computing with the sea-change happening both on the technology fronts and application fronts. Networked sensors and embedded platforms with significant computational capabilities with access to backend utility computing resources, offer a tremendous opportunity to realize large-scale cyber-physical systems (CPS) to address the many societal challenges including emergency response, disaster recovery, surveillance, and transportation. Referred to as Situation awareness applications, they are latency-sensitive, data intensive, involve heavy-duty processing, run 24x7, and result in actuation with possible retargeting of sensors. Examples include surveillance deploying large-scale distributed camera networks, and personalized traffic alerts in vehicular networks using road and traffic sensing. This talk covers ongoing research in Professor Ramachandran’s embedded pervasive lab to provide system support for Internet of Things.
GIS Standards and Interoperability
This document discusses standards and interoperability in geographic information systems (GIS). It emphasizes that standards are important for sharing data between government departments and making location-based data accessible to citizens. It outlines some relevant technical standards like OGC, ISO, and OpenLS. The document also discusses challenges around reading, displaying, and editing spatial data from different sources and solutions like spatial databases and web services. Finally, it provides details on how standards will be implemented for a GIS project in Madinah, Saudi Arabia, including the use of Oracle, Envinsa, web services, and OGC standards.
Sntvt sentivate presentation_blockfyre
Sentivate is a project that aims to replace core components of the internet such as HTTP and DNS with new protocols like UDSP. It also plans to develop hybrid apps and its own browser. Sentivate sees the current internet infrastructure as unable to handle future bandwidth demands. Its solution includes new protocols that are more efficient and a hybrid centralized/decentralized architecture. The SNTVT and future VIAT tokens will be used for network transactions, but there are concerns about token utility given Sentivate's large holdings and current token concentration. Further details on VIAT are still to come in an upcoming whitepaper.
Distributed Systems, Mobile Computing and Security
We investigate how to build secure yet easy-to-use and cost-effective systems. Our research focuses on areas like improving security usability with contextual data, ensuring privacy in cloud services, and designing secure software-defined networking. We evaluate and optimize mobile and distributed systems to save energy and improve user experience of mobile cloud services and applications like crowdsensing, multimedia streaming, and edge/cloud computing. We also research topics in areas like mobile cloud gaming, internet of things, big data analytics, and verification of distributed systems.
Angel Beat, San Francisco 3.14.01
The document summarizes the Gravite platform solution for location-based services (LBS) challenges in an untethered world. It discusses the LBS landscape involving multiple technologies, devices, and networks. It then describes Gravite's platform which uses an expert system to monitor locations, enable pull and push services, and deliver applications to devices based on profiles, rules, facts and actions. The platform provides a robust, scalable and integrated solution to address the major industry trends of converging internet, wireless and location-based technologies.
Bitcoin blockchains and distributed satellite management control
Watch NASA's Presentation on using blockchain for Space, and discovery. A Distributed Spacecraft Mission (DSM) is one that involves multiple spacecrafts to achieve one or more common goals.
Dublinked tech workshop_15_dec2011
The document provides an overview of the Dublinked Technology Workshop held on December 15th, 2011. It includes presentations on transportation data, spatial web services, linked data, and semantic data description. Breakout sessions covered topics like data publishing, discovery, web services, and advanced functions. The workshop aimed to address challenges around sharing digital data between organizations and discussed technical requirements and tools to support open government data platforms.
Meetup prague 201811_v01
This document discusses data streaming use cases in the telecommunications industry. It first introduces the company as focusing on big data technologies like Hadoop, Kafka and NiFi to process, store, distribute and analyze customer data for telecom operators. It then describes how network data from 2G, 3G and 4G sources is converted and organized. Key use cases discussed include fraud detection, customer experience management, network performance monitoring, segmentation and predictive analytics. Specific examples provided are analyzing TV usage, identifying unused cells, and correlating fault and performance data to quickly resolve outages.
Secrets of Autonomous Car Design
The document discusses autonomous vehicle design and RTI's expertise in autonomy. It begins by outlining the challenges of autonomous vehicle technical including rapid evolution, complex system integration, on/off vehicle communications, perception and sensing, decision making, safety certification, and software dominance in a mechanical world. It then describes RTI's experience in various industries and standards efforts. RTI is said to have deep expertise in autonomy from its founders' background and use of its middleware to power unmanned systems. The document discusses how RTI can help with autonomous vehicle development through ensuring data availability, guaranteeing real-time response, managing complex data flows and states, easing system integration, building in security, making deployments flexible, and easing safety
Asset Tracking and Location Technologies for Internet of Things
Positioning in the Internet of Things. How location technology works and the use cases that are driving adoption.
- Use Cases: Asset Tracking, Real Time Location Systems, Asset Management
- How GPS Works
- Time based location
- Proximity location technologies
- Using WiFi for Position
- Tradeoffs in performance, power, and cost
- Keys to building a successful location product
madan resume. august
Madan Mohan is seeking assignments in telecommunications as a RF/wireless analyst, planner, and project manager with over 8 years of experience. He currently works for Future Focus Infotech Pvt. Ltd. (TCS) as a radio network optimizer for Nokia in Chennai, India. Madan Mohan has a Bachelor's degree in computer science and qualifications in electronics and communications.
SCGOV EIT Internship PP Final
This internship summary provides an overview of the Sarasota County Enterprise Information Technology (EIT) department. The EIT department consists of 76 IT professionals across 8 subdepartments, including networking, security, telecom, system administration, applications, service desk support, procurement/finance, and project management. They provide IT services and support for county employees, patrons, and elected officials. The interns learned about the various roles and responsibilities within the EIT department over their 8-week internship. They gained valuable insights into careers in IT and how to succeed in the field.
Smart Columbus Executive Summary Overview
Summary by Sean Barbeau of the executive summary of the Smart Columbus USDOT Smart Cities Challenge (https://d2rfd3nxvhnf29.cloudfront.net/inline-files/Smart%20City%20Challenge-%20USDOT%20Executive%20Summary.pdf) released June 2021.
Open Source Software in Public Transportation: A Case Study
Open-source software projects like OneBusAway, OpenTripPlanner, and TheTransitClock provide real-time transit information and trip planning for public transportation agencies. They have been deployed in over a dozen cities worldwide and are governed through open-source foundations to encourage collaboration and long-term support. Transitioning to these open-source solutions can help agencies avoid rising costs of proprietary software and reduce risks of vendor lock-in.
More Related Content
Similar to 2011 ITS World Congress - Location Data Signing – Protecting the Integrity and Authenticity of Positioning System Data
Big data for MNO
This document discusses how mobile network operators (MNOs) can leverage big data from their networks. It notes that MNOs currently store different types of data in silos, making it difficult to correlate. Big data solutions allow consolidating this information into a single storage system. The document provides examples of how MNOs can monetize data sources like geolocation information by developing applications for marketing, security, traffic management and more. It also outlines Cubro's capabilities for helping MNOs integrate and analyze network and subscriber data at scale.
Solving Cybersecurity at Scale
With the rise of IoT and the increasing complexity of applications, clouds, networks and infrastructure, the battle to keep your data and your infrastructure safe from attackers is getting harder. As groups of bad actors collaborate, sharing information and offering illegal access, and botnets as a service, terabits of attack can be launched cheaply. Meanwhile, it’s hard to find enough security analysts to catch and prevent these attacks.
This is where community collaboration and open source efforts like Apache Metron come in. Metron presents a comprehensive framework for application and network, security built on Apache Hadoop and open source Streaming Analytics(ie Apache Nifi, Apache Kafka) tool’s highly scalable data management and processing stacks. Advanced features like profiling, machine learning, and visualization work with real-time streaming detection to make your SOC analysts more efficient, while the intrinsic extensibility of open source helps your data scientists get security insights out of the lab and into production fast.
We will discuss and demonstrate how some real-world businesses and managed service providers are using Apache Metron to identify and solve security threats at scale, and some approaches and ideas for how the platform can fit into your security architecture.
Speaker: Laurence Da Luz, Senior Solutions Architect, Hortonworks
Location Based Encryption-Decryption Approach for Data Security
Data security is an important task in today‟s life. Data security can be done using GPS device. Among computer user mostly
use data in electronic format. How to provide a security for data is important. In this paper, we propose a Location Based Data-
Security System to secure data by applying Encryption-Algorithm and co-ordinate using GPS device. Encryption means of efficient
secure integer comparison. The encryption technology cannot restrict the location of data decryption. In order to meet the demand of a
location-dependent approach location-dependent data encryption algorithm is needed. A target latitude/longitude co-ordinate is
determined firstly. The co-ordinate is incorporated with a random key for data encryption. The receiver can only decrypt the cipher
text when the co-ordinate acquired from GPS receiver is matched with the target co-ordinate. GPS-based encryption is an innovative
technique that uses GPS-technology to encode location information into the encryption keys to provide location based security. GPSbased
encryption adds another layer of security on top of existing encryption methods by restricting the decryption of a message to a
particular location. Our experimental results not only validate the effectiveness of our scheme, but also demonstrate that the proposed
integer comparison scheme performs better than previous bitwise comparison scheme.
MSPA Europe - How digital technology changes mystery shopping (nfc, ir, qr co...
Digital technologies like NFC, QR codes, image recognition and geofencing can enhance mystery shopping and loss prevention programs. These technologies allow mobile apps to collect more data on site, generate efficiencies for shoppers, and communicate with the field in real time. Specifically, QR codes and NFC tags can be used to download apps and access surveys. Image recognition can be used for product verification and loss prevention tasks. Geofencing can automatically trigger surveys when shoppers enter certain areas. While these technologies provide benefits, mobile apps also require a powerful back office and addressing issues like network dependency and platform development costs.
Data in Motion - tech-intro-for-paris-hackathon
Slides used at the pre-Hackathon workshop for the Cisco Paris Innovation Center Hackathon - http://hackathon.cisco.com/event/PIRL-Hackathon-2015.
Get Ready for the Next Generation Diameter Signaling Controller (DSC)
Mobile telecommunications has a significant economic impact and the market is growing rapidly. Signaling protocols like Diameter contain valuable network data that can be used for more than just connectivity. A next-generation signaling controller can orchestrate signaling across networks and protocols to accelerate new services, drive down costs, enable roaming between technologies, and allow customized user experiences for competitive differentiation.
BBK LBS 2009 ET
This document provides an overview of location-based services, including:
- A brief history of how GPS and location technologies originated and evolved over time.
- Definitions of key concepts like positioning technologies, architectures, APIs and standards.
- Discussions of privacy issues and how user-generated location data enables new applications.
- Examples of common geoprocessing primitives like geocoding, proximity searching, and network analysis.
Big Data for Everyman
A presentation given by Erik Swan, CTO/Co-Founder of Splunk and Michael Wilde, Splunk NInja at the SXSW Interactive 2012 Conference on March 11, 2011
System Support for Internet of Things
It is an exciting time in computing with the sea-change happening both on the technology fronts and application fronts. Networked sensors and embedded platforms with significant computational capabilities with access to backend utility computing resources, offer a tremendous opportunity to realize large-scale cyber-physical systems (CPS) to address the many societal challenges including emergency response, disaster recovery, surveillance, and transportation. Referred to as Situation awareness applications, they are latency-sensitive, data intensive, involve heavy-duty processing, run 24x7, and result in actuation with possible retargeting of sensors. Examples include surveillance deploying large-scale distributed camera networks, and personalized traffic alerts in vehicular networks using road and traffic sensing. This talk covers ongoing research in Professor Ramachandran’s embedded pervasive lab to provide system support for Internet of Things.
GIS Standards and Interoperability
This document discusses standards and interoperability in geographic information systems (GIS). It emphasizes that standards are important for sharing data between government departments and making location-based data accessible to citizens. It outlines some relevant technical standards like OGC, ISO, and OpenLS. The document also discusses challenges around reading, displaying, and editing spatial data from different sources and solutions like spatial databases and web services. Finally, it provides details on how standards will be implemented for a GIS project in Madinah, Saudi Arabia, including the use of Oracle, Envinsa, web services, and OGC standards.
Sntvt sentivate presentation_blockfyre
Sentivate is a project that aims to replace core components of the internet such as HTTP and DNS with new protocols like UDSP. It also plans to develop hybrid apps and its own browser. Sentivate sees the current internet infrastructure as unable to handle future bandwidth demands. Its solution includes new protocols that are more efficient and a hybrid centralized/decentralized architecture. The SNTVT and future VIAT tokens will be used for network transactions, but there are concerns about token utility given Sentivate's large holdings and current token concentration. Further details on VIAT are still to come in an upcoming whitepaper.
Distributed Systems, Mobile Computing and Security
We investigate how to build secure yet easy-to-use and cost-effective systems. Our research focuses on areas like improving security usability with contextual data, ensuring privacy in cloud services, and designing secure software-defined networking. We evaluate and optimize mobile and distributed systems to save energy and improve user experience of mobile cloud services and applications like crowdsensing, multimedia streaming, and edge/cloud computing. We also research topics in areas like mobile cloud gaming, internet of things, big data analytics, and verification of distributed systems.
Angel Beat, San Francisco 3.14.01
The document summarizes the Gravite platform solution for location-based services (LBS) challenges in an untethered world. It discusses the LBS landscape involving multiple technologies, devices, and networks. It then describes Gravite's platform which uses an expert system to monitor locations, enable pull and push services, and deliver applications to devices based on profiles, rules, facts and actions. The platform provides a robust, scalable and integrated solution to address the major industry trends of converging internet, wireless and location-based technologies.
Bitcoin blockchains and distributed satellite management control
Watch NASA's Presentation on using blockchain for Space, and discovery. A Distributed Spacecraft Mission (DSM) is one that involves multiple spacecrafts to achieve one or more common goals.
Dublinked tech workshop_15_dec2011
The document provides an overview of the Dublinked Technology Workshop held on December 15th, 2011. It includes presentations on transportation data, spatial web services, linked data, and semantic data description. Breakout sessions covered topics like data publishing, discovery, web services, and advanced functions. The workshop aimed to address challenges around sharing digital data between organizations and discussed technical requirements and tools to support open government data platforms.
Meetup prague 201811_v01
This document discusses data streaming use cases in the telecommunications industry. It first introduces the company as focusing on big data technologies like Hadoop, Kafka and NiFi to process, store, distribute and analyze customer data for telecom operators. It then describes how network data from 2G, 3G and 4G sources is converted and organized. Key use cases discussed include fraud detection, customer experience management, network performance monitoring, segmentation and predictive analytics. Specific examples provided are analyzing TV usage, identifying unused cells, and correlating fault and performance data to quickly resolve outages.
Secrets of Autonomous Car Design
The document discusses autonomous vehicle design and RTI's expertise in autonomy. It begins by outlining the challenges of autonomous vehicle technical including rapid evolution, complex system integration, on/off vehicle communications, perception and sensing, decision making, safety certification, and software dominance in a mechanical world. It then describes RTI's experience in various industries and standards efforts. RTI is said to have deep expertise in autonomy from its founders' background and use of its middleware to power unmanned systems. The document discusses how RTI can help with autonomous vehicle development through ensuring data availability, guaranteeing real-time response, managing complex data flows and states, easing system integration, building in security, making deployments flexible, and easing safety
Asset Tracking and Location Technologies for Internet of Things
Positioning in the Internet of Things. How location technology works and the use cases that are driving adoption.
- Use Cases: Asset Tracking, Real Time Location Systems, Asset Management
- How GPS Works
- Time based location
- Proximity location technologies
- Using WiFi for Position
- Tradeoffs in performance, power, and cost
- Keys to building a successful location product
madan resume. august
Madan Mohan is seeking assignments in telecommunications as a RF/wireless analyst, planner, and project manager with over 8 years of experience. He currently works for Future Focus Infotech Pvt. Ltd. (TCS) as a radio network optimizer for Nokia in Chennai, India. Madan Mohan has a Bachelor's degree in computer science and qualifications in electronics and communications.
SCGOV EIT Internship PP Final
This internship summary provides an overview of the Sarasota County Enterprise Information Technology (EIT) department. The EIT department consists of 76 IT professionals across 8 subdepartments, including networking, security, telecom, system administration, applications, service desk support, procurement/finance, and project management. They provide IT services and support for county employees, patrons, and elected officials. The interns learned about the various roles and responsibilities within the EIT department over their 8-week internship. They gained valuable insights into careers in IT and how to succeed in the field.
Similar to 2011 ITS World Congress - Location Data Signing – Protecting the Integrity and Authenticity of Positioning System Data (20)
Location Based Encryption-Decryption Approach for Data Security
Location Based Encryption-Decryption Approach for Data Security
MSPA Europe - How digital technology changes mystery shopping (nfc, ir, qr co...
MSPA Europe - How digital technology changes mystery shopping (nfc, ir, qr co...
Get Ready for the Next Generation Diameter Signaling Controller (DSC)
Get Ready for the Next Generation Diameter Signaling Controller (DSC)
Distributed Systems, Mobile Computing and Security
Distributed Systems, Mobile Computing and Security
Bitcoin blockchains and distributed satellite management control
Bitcoin blockchains and distributed satellite management control
Asset Tracking and Location Technologies for Internet of Things
Asset Tracking and Location Technologies for Internet of Things
More from Sean Barbeau
Smart Columbus Executive Summary Overview
Summary by Sean Barbeau of the executive summary of the Smart Columbus USDOT Smart Cities Challenge (https://d2rfd3nxvhnf29.cloudfront.net/inline-files/Smart%20City%20Challenge-%20USDOT%20Executive%20Summary.pdf) released June 2021.
Open Source Software in Public Transportation: A Case Study
Open-source software projects like OneBusAway, OpenTripPlanner, and TheTransitClock provide real-time transit information and trip planning for public transportation agencies. They have been deployed in over a dozen cities worldwide and are governed through open-source foundations to encourage collaboration and long-term support. Transitioning to these open-source solutions can help agencies avoid rising costs of proprietary software and reduce risks of vendor lock-in.
Open Source Software in Public Transportation: A Case Study - TRB poster
TRB 2020 poster presentation of the TRB paper "Open Source Software in Public Transportation: A Case Study", available at http://bit.ly/trb-open-transit-software.
OneBusAway Android - 2020 Update
This document summarizes a research project that implemented an Android activity tracking API in the OneBusAway transit app to automatically collect multimodal travel behavior data from opt-in users. Over 10 weeks, data was collected from 74 enrolled users which captured activity types, locations, and trips. The project aims to improve the quality and cost-effectiveness of travel data collection.
Open Transit Data - A Developer's Perspective
I gave this presentation as part of an N-CATT webinar on "Open Source Software and Open Data". It discusses open transit data, with a focus on rural and demand response transit agencies and topics to watch as of May 2020. The full webinar is available at https://n-catt.org/tech-university/webinar-open-source-software-and-open-data/.
Improving the quality and cost effectiveness of multimodal travel behavior da...
Multimodal transportation such as transit, bike, walk, transportation network companies (TNCs) (e.g., Uber, Lyft), car share, and bike share are vital to supporting livable communities. However, current data collection techniques for multimodal travel behavior, including apps built specifically for travel behavior surveys, have limitations (e.g., significant negative impact on battery life, user acquisition) which prevent a better understanding of significant real-world challenges (e.g., multimodal traveler choices, relationships between travel behavior and health).
This webinar discusses the results of a recently completed research project funded by the National Center for Transit Research, “Improving the Quality and Cost Effectiveness of Multimodal Travel Behavior Data Collection”. In this project, the research team developed and deployed a proof-of-concept system to collect multimodal travel behavior data on an ongoing basis directly from users of a popular open-source mobile app for multi-modal information, OneBusAway (OBA). To overcome battery life challenges, the research team used the Android Activity Transition API, which leverages hardware advancements in modern mobile phones.
This webinar presents the technology used to implement this data collection tool, as well as the results of a pilot deployment to 676 beta testing users. Over 10 weeks, 74 users opted into the study without any incentive and contributed 65,582 trips. Key concerns discussed for data collection when conserving battery life include the timeliness and accuracy of data.
A webinar recording of this presentation can be found here:
https://www.cutr.usf.edu/2020/04/cutr-webinar-improving-the-quality-and-cost-effectiveness-of-multimodal/
The final report for this project can be downloaded at:
https://scholarcommons.usf.edu/cutr_nctr/13/
TRB 2020 - Cybersecurity Vulnerabilities in Mobile Fare Payment Applications:...
Presentation of a TRB 2020 paper (available at http://bit.ly/trb-cyber-mobile-fare-app):
Mobile fare payment applications are becoming increasingly commonplace in the public transportation industry as both a customer convenience and an effort to reduce fare management costs and improve operations for agencies. However, there is relatively little literature on vulnerabilities and liabilities in mobile fare payment applications. Furthermore, few public agencies or supporting vendors have policies or established processes in place to receive vulnerability reports or patch vulnerabilities discovered in their technologies. Given the rapidly increasing number of data breaches in general industry IT systems, as well as the fact that mobile fare payment apps are a nexus between customer and agency financial information, the security of these mobile applications deserve further scrutiny. This paper presents a vulnerability discovered in a mobile fare payment application deployed at a transit agency in Florida that, due to the system architecture, may have affected customers in as many as 40 cities across the United States – an estimated 1,554,000 users. Lessons learned from the vulnerability disclosure process followed by the research team as well as recommendations for public agencies seeking to improve the security of these types of applications are also discussed.
2019 FPTA - Enhancing Cybersecurity in Public Transportation
A presentation given at the 2019 Florida Public Transportation Association (FPTA) Annual Conference on a project "Enhancing Cybersecurity in Public Transportation", funded by the Florida Department of Transportation (FDOT) and National Center for Transit Research (NCTR).
Work Zone Data Exchange (WZDx) format
A quick overview of the Work Zone Data Exchange format, presented at a Tampa Bay Smart Cities Alliance workshop in July 2019.
Enhancing Cybersecurity in Public Transportation
The document discusses a research project that aims to improve cybersecurity for public transportation systems in Florida by identifying vulnerabilities, facilitating information sharing between agencies and researchers, and making policy recommendations. A survey of Florida agencies found that while technologies like Wi-Fi and mobile apps are widely used, many agencies reported a lack of employee training and funding as barriers to better security practices. The researchers also discovered a vulnerability in a fare payment app that exposed personal information.
Why Open-source Software?
A presentation on the current state of open-source software for real-time multimodal information in the public transit industry. Presented at the 2019 OneBusAway & OpenTripPlanner Annual Meeting, Washington, D.C., January 14, 2019.
OneBusAway - An open-source platform for Mobility as a Service
A description of the OneBusAway open-source project and the deployment in Tampa, FL related to multimodal traveler information
Fare payment in OneBusAway
Launching fare payment integration into the OneBusAway open-source mobile apps (https://onebusaway.org/) for real-time transit information (August 2018)
Open-source Transit Software
Transit agencies are increasingly using open-source software such as OneBusAway (http://onebusaway.org/), OpenTripPlanner (http://www.opentripplanner.org/), and TheTransitClock (https://thetransitclock.github.io/) to creating real-time information systems. This presentations discusses these projects and shows how they can all work together.
GTFS-realtime v2.0
A brief presentation of what's new in GTFS-realtime v2.0. For more details, see the blog post at https://medium.com/@sjbarbeau/whats-new-in-gtfs-realtime-v2-0-cd45e6a861e9.
NTI 2017 Workshop - Many Uses of GTFS Data
GTFS data has enabled many different types of multimodal applications. This presentation, which was presented at the 2017 NTI Workshop, discussing the creation, maintenance, and application of GTFS data.
2017 SeeClickFix Workshop - Closing the Loop - Improving Transit through Crow...
This presentation describes a pilot project that improved the OneBusAway mobile transit apps to be able to submit user feedback to agencies using the standardized Open311 specification. As of this presentation (late February 2017), these changes are being piloted in the Tampa Bay area along with the SeeClickFix issue management platform by Hillsborough Area Regional Transit and Pinellas Suncoast Transit Authority.
USF Maps App
The USF Maps App was created to help students, staff, and visitors navigate the University of South Florida campus using multiple transportation options. It provides features like showing building locations, trip planning between buildings for various modes including walking, biking, public transit, and real-time transportation information. The app was developed by USF students using open-source software and open data. Since its soft launch in late 2016, thousands of users have utilized the app's trip planning and campus navigation capabilities.
Opening the Door to Multimodal Applications - Creation, Maintenance, and Appl...
Full 2017 TRB paper at http://bit.ly/TRB2017-GTFS.
The General Transit Feed Specification (GTFS) describes fixed-route public transportation service to facilitate integration of transit information into various applications. The purpose of this report is to provide an overview of the opportunities to use GTFS for many different types of information services for the general public as well as internal agency operations. Many opportunities exist to create new services based on GTFS data — either to provide transit information through a greater range of delivery formats (e.g., new mobile transit applications), or to provide new ways of understanding and using transit information (e.g., for planning and analysis purposes).
For transit agencies that are not openly sharing their data, this report will inform decisions on prioritizing and justifying investments in open data initiatives surrounding GTFS.
For transit agencies that already provide open access to their GTFS data, this report will assist the agency in maximizing their investment in GTFS data by showcasing examples of many new types of applications that utilize the same GTFS data they are already producing.
For Departments of Transportation, Metropolitan Planning Organizations, and other intermodal agencies, this report will assist them in understanding the current state-of-the-art in public transportation information and will help them integrate this data into intelligent transportation systems (ITS) and multimodal traveler information systems.
OneBusAway - New issue reporting flow in OneBusAway Android
This presentation was created as an orientation to Hillsborough Area Regional Transit (HART) staff for how issues can now be reported via hte OneBusAway Android app, including management of issues related to stops and arrival times via the SeeClickFix issue management site (via Open311).
More from Sean Barbeau (20)
Open Source Software in Public Transportation: A Case Study
Open Source Software in Public Transportation: A Case Study
Open Source Software in Public Transportation: A Case Study - TRB poster
Open Source Software in Public Transportation: A Case Study - TRB poster
Improving the quality and cost effectiveness of multimodal travel behavior da...
Improving the quality and cost effectiveness of multimodal travel behavior da...
TRB 2020 - Cybersecurity Vulnerabilities in Mobile Fare Payment Applications:...
TRB 2020 - Cybersecurity Vulnerabilities in Mobile Fare Payment Applications:...
2019 FPTA - Enhancing Cybersecurity in Public Transportation
2019 FPTA - Enhancing Cybersecurity in Public Transportation
OneBusAway - An open-source platform for Mobility as a Service
OneBusAway - An open-source platform for Mobility as a Service
2017 SeeClickFix Workshop - Closing the Loop - Improving Transit through Crow...
2017 SeeClickFix Workshop - Closing the Loop - Improving Transit through Crow...
Opening the Door to Multimodal Applications - Creation, Maintenance, and Appl...
Opening the Door to Multimodal Applications - Creation, Maintenance, and Appl...
OneBusAway - New issue reporting flow in OneBusAway Android
OneBusAway - New issue reporting flow in OneBusAway Android
Recently uploaded
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
HCL Notes and Domino License Cost Reduction in the World of DLAU
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
National Security Agency - NSA mobile device best practices
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
UiPath Test Automation using UiPath Test Suite series, part 6
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
5th LF Energy Power Grid Model Meet-up Slides
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
Presentation of the OECD Artificial Intelligence Review of Germany
Consult the full report at https://www.oecd.org/digital/oecd-artificial-intelligence-review-of-germany-609808d6-en.htm
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
Fueling AI with Great Data with Airbyte Webinar
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
AI 101: An Introduction to the Basics and Impact of Artificial Intelligence
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
TrustArc Webinar - 2024 Global Privacy Survey
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Best 20 SEO Techniques To Improve Website Visibility In SERP
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
Main news related to the CCS TSI 2023 (2023/1695)
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
ここ3000字までしか入らないけどタイトルの方がたくさん文字入ると思います。
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
Introduction of Cybersecurity with OSS at Code Europe 2024
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
Recently uploaded (20)
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
HCL Notes and Domino License Cost Reduction in the World of DLAU
HCL Notes and Domino License Cost Reduction in the World of DLAU
National Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practices
UiPath Test Automation using UiPath Test Suite series, part 6
UiPath Test Automation using UiPath Test Suite series, part 6
Presentation of the OECD Artificial Intelligence Review of Germany
Presentation of the OECD Artificial Intelligence Review of Germany
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift.pdf
AI 101: An Introduction to the Basics and Impact of Artificial Intelligence
AI 101: An Introduction to the Basics and Impact of Artificial Intelligence
Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
Best 20 SEO Techniques To Improve Website Visibility In SERP
Best 20 SEO Techniques To Improve Website Visibility In SERP
Nordic Marketo Engage User Group_June 13_ 2024.pptx
Nordic Marketo Engage User Group_June 13_ 2024.pptx
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Introduction of Cybersecurity with OSS at Code Europe 2024
Introduction of Cybersecurity with OSS at Code Europe 2024
2011 ITS World Congress - Location Data Signing – Protecting the Integrity and Authenticity of Positioning System Data
- 1. Location Data Signing – Protecting the Integrity and Authenticity of Positioning System Data Marcy E. Gordon, Sean J. Barbeau, Miguel A. Labrador {megordon, barbeau}@cutr.usf.edu {labrador}@cse.usf.edu Center for Urban Transportation Research and Department of Computer Science and Engineering 10/20/2011 1
- 2. Background and Motivation • The integrity and authenticity of location data is increasingly important – Pay-as-you-drive insurance, variable transportation taxes, Connected Vehicle applications, logistics auditing, and fleet tracking • Can GPS data truly determine the historic or real-time location of a device? – Solution: digitally sign the data as it is produced • Digital signatures are a mathematical method for showing the authenticity, integrity, and non-repudiation of a digital message • Previous study showed digital signatures not practical on J2ME devices • TRAC-IT is a mobile application designed to track travel behavior for research and to provide personalized real-time travel info • Objective: modify TRAC-IT system to generate a key pair, send the public key to server for storage, sign each fix, send signature to server with the fix, and then created a validation tool to verify the signatures 10/20/2011 2
- 3. Experimentation • Ran key and signature generation tests on an emulator and a HTC G1 phone w/ Android 1.6 • Tests varied the algorithm (RSA, DSA), hashing algorithm (SHA1, MD5, SHA256), and key sizes (512, 1024, 2048-bit) • Results: 2048-bit RSA key takes too long to generate, but 1024-bit RSA, 512-bit DSA are ok; RSA generates key pairs faster, but generates signatures slower than DSA (but both ok) 10/20/2011 x 1 x Many
- 4. • Avg. power consumption: 1.57 W; with data signing: 1.71 W • UDP packet (sending data to server) with signature is 66% larger – But only 0.17% of possible packet size is filled • Public key and signatures could be overwritten in the database, so database must be trusted portion of system • Location data signing on Android phones is feasible! 0 5 10 15 20 25 1 4 8 16 30 60 500 EstimatedBatteryLife(hours) Amount of time between GPS fixes Impact on Battery Life Without Signing With Signing Overhead and Conclusions 10/20/2011 4 0 0.5 1 1.5 2 2.5 3 3.5 1 21 41 61 81 101 121 141 161 181 201 221 241 261 281 Power(watts) Time (sec) TRAC-IT Power Usage TRAC-IT TRAC-IT with Location Data Signing CP = Ikt P = IV
- 5. Questions? Sean J. Barbeau, M.S. Comp.Sci. Research Associate Center for Urban Transportation Research University of South Florida http://locationaware.usf.edu 813.974.7208 barbeau@cutr.usf.edu 10/20/2011 5 Battery life experiment data provided by Marcel Muñoz Figueroa
- 6. 8/5/2011 ‹#›