Category «Big Data»

Pete Recommends – Weekly highlights on cyber security issues, March 23, 2024

Privacy and cybersecurity issues impact every aspect of our lives – home, work, travel, education, finance, health and medical records – to name but a few. On a weekly basis Pete Weiss highlights articles and information that focus on the increasingly complex and wide ranging ways technology is used to compromise and diminish our privacy and online security, often without our situational awareness. Eight highlights from this week: How to Figure Out What Your Car Knows About You; The Feds Can Film Your Front Porch for 68 Days Without a Warrant, Says Court; X Continues to Break as Fraudsters Use Deceptive Links to Scam; FDA and You; Artificial Intelligence and Medical Products: How CBER, CDER, CDRH, and OCP are Working Together; DOJ sues Apple in antitrust case, says it has illegal monopoly over smartphones; Data brokers admit they’re selling information on precise location, kids, and reproductive healthcare; X Continues to Break as Fraudsters Use Deceptive Links to Scam You; and Why you should stop using SMS.

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Subjects: AI, Big Data, Business Research, Cybercrime, Cybersecurity, Financial System, Government Resources, Healthcare, Medical Research, Privacy, Social Media

What Happens to Your Sensitive Data When a Data Broker Goes Bankrupt?

In 2021, a company specializing in collecting and selling location data called Near bragged that it was “The World’s Largest Dataset of People’s Behavior in the Real-World,” with data representing “1.6B people across 44 countries.” Last year the company went public with a valuation of $1 billion (via a SPAC). Seven months later it filed for bankruptcy and has agreed to sell the company. Jon Keegan highlights the ramifications to the public.

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Subjects: Big Data, Business Research, Competitive Intelligence, Healthcare, Information Management, Privacy

Pete Recommends – Weekly highlights on cyber security issues, February 24, 2024

Privacy and cybersecurity issues impact every aspect of our lives – home, work, travel, education, finance, health and medical records – to name but a few. On a weekly basis Pete Weiss highlights articles and information that focus on the increasingly complex and wide ranging ways technology is used to compromise and diminish our privacy and online security, often without our situational awareness. Four highlights from this week: As AI Looms Large, FTC Says Big Tech Can’t Feed it Your Data Without Your Permission; Protect Yourself from Identity Thieves; Survey Finds Workers are Putting Businesses at Risk by Oversharing with GenAI Tools; and Meet the shady companies helping governments hack citizens’ phones.

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Subjects: AI, Big Data, Cybersecurity, Economy, Financial System, Government Resources, Healthcare, KM, Legal Research, Privacy, Social Media

DOJ funding pipeline subsidizes questionable big data surveillance technologies

Professor Andrew Guthrie Ferguson discusses how predictive policing has been shown to be an ineffective and biased policing tool. Yet, the Department of Justice has been funding the crime surveillance and analysis technology for years and continues to do so despite criticism from researchers, privacy advocates and members of Congress. Guthrie’s research reveals an entire ecosystem of how technology companies, police departments and academics benefit from the flow of federal dollars for these surveillance technologies.

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Subjects: Big Data, Civil Liberties, Criminal Law, Legal Research, Privacy, Spyware

Each Facebook User is Monitored by Thousands of Companies

By now most internet users know their online activity is constantly tracked. No one should be shocked to see ads for items they previously searched for, or to be asked if their data can be shared with an unknown number of “partners.” But what is the scale of this surveillance? Judging from data collected by Facebook and newly described in a unique study by non-profit consumer watchdog Consumer Reports and the Markup, Jon Keegan writes that it’s massive, and examining the data may leave you with more questions than answers.

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Subjects: Big Data, Cybercrime, Cybersecurity, E-Commerce, Privacy, Social Media, Spyware

Pete Recommends – Weekly highlights on cyber security issues, January 6, 2024

Privacy and cybersecurity issues impact every aspect of our lives – home, work, travel, education, finance, health and medical records – to name but a few. On a weekly basis Pete Weiss highlights articles and information that focus on the increasingly complex and wide ranging ways technology is used to compromise and diminish our privacy and online security, often without our situational awareness. Four highlights from this week: Delete your digital history from dozens of companies with this app; How hackers can ‘poison’ AI; Meet ‘Link History,’ Facebook’s New Way to Track the Websites You Visit; and Google Groups is ending support for Usenet to combat spam.

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Subjects: AI, Big Data, Cybercrime, Cybersecurity, E-Commerce, Privacy, Social Media

Pete Recommends – Weekly highlights on cyber security issues, December 16, 2023

Privacy and cybersecurity issues impact every aspect of our lives – home, work, travel, education, finance, health and medical records – to name but a few. On a weekly basis Pete Weiss highlights articles and information that focus on the increasingly complex and wide ranging ways technology is used to compromise and diminish our privacy and online security, often without our situational awareness. Four highlights from this week: How QR codes work and what makes them dangerous – a computer scientist explains; Without a Trace: How to Keep Your Phone Off the Grid; Your Smart TV Knows What You’re Watching; and Verizon fell for fake “search warrant,” gave victim’s phone data to stalker.

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Subjects: Big Data, Cybercrime, Cybersecurity, Privacy

Predictive Policing Software Terrible At Predicting Crimes

Crime predictions generated for the police department in Plainfield, New Jersey, rarely lined up with reported crimes, an analysis by The Markup has found, adding new context to the debate over the efficacy of crime prediction software. Geolitica, known as PredPol until a 2021 rebrand, produces software that ingests data from crime incident reports and produces daily predictions on where and when crimes are most likely to occur. Aaron Sankin, Investigative Reporter and Surya Mattu, Senior Data Engineer and Investigative Data Journalist examined 23,631 predictions generated by Geolitica between Feb. 25 to Dec. 18, 2018 for the Plainfield Police Department (PD). Each prediction they analyzed from the company’s algorithm indicated that one type of crime was likely to occur in a location not patrolled by Plainfield PD. In the end, the success rate was less than half a percent. Fewer than 100 of the predictions lined up with a crime in the predicted category, that was also later reported to police.

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Subjects: Big Data, Civil Liberties, Criminal Law, Data Mining, Privacy, Spyware, Technology Trends
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