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Guide d’autodéfense numérique

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Jose Barrientos is creating Cyber Security Videos/Behind the Scenes I make videos depicting me turning the table on scammers (would be "bad guys") and just general cyber security related content. Some of these videos have done well, and as a result I get a lot of requests for tutorials or further explanation about the exploits and source code used in the attacks/attack platforms. The overall volunteer work I do in counter-scamming (aka scam-baiting) or digital reconnaissance for non-profits, I do as a way to give back, and as a creative outlet which provides much needed stress relief. Sometimes, it makes for decent content that I further produce on my YouTube channel.

How to Use Mapillary Data in OpenStreetMap - The Mapillary Blog Crosswalk map features detected in Santa Monica on While many feature classes are available (43, to be exact), only a handful of these are directly correlated to OpenStreetMap tags. We offer this data through two avenues: data served from the Mapillary API and data downloaded via an organization.

sans titre For some people who use their computer systems, their systems might seem normal to them, but they might never realise that there could be something really phishy or even that fact that their systems could have been compromised. Making use of Incident Response a large number of attacks at the primary level could be detected. The investigation can be carried out to obtain any digital evidence. Geochicas: Helping Women Find their Place on the Map - The Mapillary Blog From over 4,000,000 collaborators in the world largest crowdsourced database, only 2–5% are women. We are talking about OpenStreetMap, also called the Wikipedia of maps. It is unfortunately not an uncommon problem, in Wikipedia the situation is also dramatic, the contributors in 2018 were 90% males, 9% women and 1% others. Why is it so important to have a diverse group of people creating data? The answer is simple, having data added by one specific group create bias in the information. By having diversity in the collaborators, the projects will better represent the information—this goes for any encyclopedia, map, or database.

sans titre I’m proud to announce KAPE (Kroll Artifact Parser and Extractor) is now available for download. KAPE is an efficient and highly configurable triage program that will target essentially any device or storage location, find forensically useful artifacts, and parse them within a few minutes. Having worked with and taught digital forensics for over 10 years in both law enforcement and enterprise environments, I understood how DFIR professionals could benefit from a program that collected and processed forensically valuable data quickly, potentially before any full system images were completed. With key input from the digital forensics/incident response (DFIR) community, we also included predefined “targets” and “modules” for KAPE that help investigators gather a wider range of artifacts in a fraction of the time, enriching evidentiary libraries. KAPE is free for download here. So… what exactly is KAPE?

UN report calls OpenStreetMap “foundational” to disaster risk reduction – Resiliency Maps GENEVA — Some 4,000 people came from Canada to Vanuatu to figure out how to save lives and rebuild communities in the wake of floods, earthquakes, landslides and the like at the recent Global Platform on Disaster Risk Reduction. The fifth edition of the “Global Assessment Report on Disaster Risk Reduction” (GAR) launched at a packed session during the biennial, invite-only event. (I was there for Resiliency Maps, more takeaways soon. For now, check out the Legos.) Here’s what the 472-page report has to say about open data and open source in a section devoted to open-source software: “One area where open data and open source cross paths is in crowdsourcing.

sans titre Aller au contenu Siège social 116 Rue Lecourbe, 75015 OpenStreetMap is Having a Moment. The Billion Dollar Dataset Next Door Special thanks to Jennings Anderson who looked over an early draft of this post and helped me refine it. Also, as usual, the views expressed herein do not represent those of my parents, my wife, my dentist, or my employer. The first time I spoke with Jennings Anderson, I couldn’t believe what he was telling me. I mean that genuinely — I did not believe him. He was a little incredulous about it himself.