Tag Archive for: Cambridge

10 companies to test next generation cybersecurity technologies from the University of Cambridge and Arm


The UK authority on advanced digital technology, Digital Catapult, has given 10 companies the opportunity to trial and experiment with potentially game-changing prototype cybersecurity technology through its Digital Security by Design Technology Access Programme.

It is estimated that if implemented, this cybersecurity technology could help stop around two thirds of hacks, cyber attacks and data breaches. The new technology has been co-developed by University of Cambridge researchers (with colleagues at SRI International) in collaboration with Arm.

The Cambridge-SRI research team has redesigned the architecture of a computer’s central processing unit – its brain – to make it less vulnerable to cybersecurity breaches. This new architecture is called CHERI.

Arm has been collaborating with the Cambridge researchers to integrate CHERI into the Arm® architecture since 2014 and has this year launched a prototype system on chip and demonstrator board, containing the prototype architecture, known as Morello. These Morello boards are now being made available to industry for testing.

The Technology Access Programme is part of Digital Security by Design: an initiative supported by the UK government to transform digital technology and create a more resilient, and secure foundation for a safer future. Digital Security by Design is supported by a consortium of world-leading technology industry partners, academics and research institutions, including Arm, University of Cambridge, Google, Thales, University of Edinburgh, Hewlett Packard, University of Oxford, Innovate UK, Microsoft, University of Manchester, Linaro, King’s College London and the National Cyber Security Centre (NCSC).

For six months participating companies will have access to the CHERI-enabled Morello prototype board, technical guides and support. The chosen UK-based companies can test and evaluate these technologies within their own businesses and provide findings back to the programme that could influence the design of future, more secure computer systems.

These companies will have access to the technologies as well as up to £15,000 in funding…

Source…

Cambridge, Massachusetts Passes Ban On Facial Recognition Tech Use By Government Agencies

Congratulations to Cambridge, Massachusetts for joining the banwagon! Cambridge joins three other communities in the state which have decided facial recognition tech is too risky, too invasive of privacy, and all-around bad news for their residents. Brookline, Somerville, and Northampton have also banned the tech, potentially leading the way for a statewide ban.

A bill before the State House would also establish a statewide moratorium on the use of facial recognition technology and other forms of biometric surveillance, including the analysis of a person’s gait or voice, until the legislature regulates the software.

These communities join their West Coast counterparts in making the tech unavailable to government agencies. San Francisco and Oakland both banned the tech recently. This was followed by a statewide ban that made these efforts (mostly) redundant. But not completely. The state ban only applies to cameras operated by law enforcement officers. The city bans block all city government agencies from deploying the tech.

There really isn’t any good reason for any city or state to, at the very minimum, not pass a moratorium on facial recognition use. The tech is unproven. Specs vary widely between vendors, but most of the major offerings aren’t exactly burning up the charts in terms of false positives. That’s still a huge problem. But it’s only one of the problems.

A large percentage of false positives also means the programs are prone to false negatives, which runs contrary to law enforcement assertions the tech will aid and abet in crime-solving. You need to be able to accurately identify people to do that and high miss rates don’t exactly point to increased law enforcement efficiency.

Beyond that, the tech tends to show bias, some of which can be attributed to the people building the programs. The quality of the training inputs also matters, but the race to grab market share means speed is prized over accuracy. At this point, facial recognition tech is mostly known for getting things wrong and giving white males yet another reason to be grateful they’re white and male.

Unfortunately, these efforts will probably be temporary. There’s no way law enforcement agencies will go without this tech for long. And these agencies wield a great deal of power when it comes to crafting legislation, especially if they’re represented by a union.

As heartening as it is to see these efforts come to fruition, the widespread deployment of facial recognition tech feels almost inevitable. Maybe it isn’t. But state efforts won’t do much to halt the ever-expanding plans of the federal government, which is very much interested to subjecting as many Americans as possible to biometric collections, all in the name of national security. But a groundswell of state efforts could halt this advance or, at the very least, slow the surveillance rush back to a creep.

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WhatsApp hack sees Facebook sue; company pays Cambridge Analytica fine

Facebook is suing an Israeli company for a WhatsApp hack which allowed various governments to spy on more than 1,000 users, reports Reuters. The attack was made possible by a security vulnerability in …
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Federal, BC privacy watchdogs to release joint report on Cambridge Analytica/Facebook data breach – iPolitics.ca

  1. Federal, BC privacy watchdogs to release joint report on Cambridge Analytica/Facebook data breach  iPolitics.ca
  2. Facebook Data Breach Broke Canada’s Privacy Laws, Regulators Say  Adweek
  3. More than 1,700 northerners in Facebook data ‘breach’: privacy commissioner  CBC.ca
  4. Canada accuses Facebook of breaking privacy laws, promises to take the company to court  Washington Post
  5. It’s Getting Real: Facebook Sets Aside $ 3 Billion to Cover Data Breach Fine  Observer
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