Tag Archive for Machine learning

5 Reasons to Never Unsubscribe from SPAM Email

5 Reasons to Never Unsubscribe from SPAM EmailWe all get unsolicited commercial emails, aka SPAM. Cisco’s Talos estimates that in January 2021 86% of emails sent were SPAM emails. That means that of the almost 145 billion emails sent 122 billion were SPAM email. The math works out to over 6 SPAM emails for each legit email. At best SPAM is annoying. At its worst, SPAM can be a threat to your PC and your personal information. SPAM email is a threat because 94% of malware is delivered by email, and one in every 3,000 email messages contains malware a payload.

SPAM email is big business

SPAMersSPAMers can make millions per year. TechRadar says an average full-time SPAMer makes around $7,000 a day – over $2.5 million a year. They can make this kind of money because email spam costs them very little to send. Most of the costs of SPAM is paid by the recipient and the carriers. The SPAMers do not have to pay for all the internet bandwidth tied up in the delivery of their spam emails. SPAMers send out millions of messages on behalf of online merchants who want to sell a product. SPAMers get paid for sending SPAM email messages, regardless of whether recipients buy any of the advertised products. They also re-sell their SPAM emails lists to other SPAMers. SPAMers can get up to $22,000 for a list of stolen email credentials. In some cases, these cybercriminals also get a percentage of the sale. For pharmaceuticals, the commission can be as high as 50%. A good example is “penis-related spam” which has a 5% click rate, meaning that 5% of the recipients actually open the spam mail and click on the link in the mail.

Why you get SPAM emails

There are a number of reasons why you get SPAM emails.
  1. victim of a data breachYou are the victim of a data breach. Any company you do business with could be vulnerable. Check haveibeenpwned to see if your account has been compromised – smaller breaches might not be listed.
  2. You posted your email address online. You put it on Facebook or other social media, on a website, or as a public comment. Once on the web, your email is considered fair game for SPAMers.
  3. At some time you opted in or neglected to opt out. When you signed up for something, buried somewhere was that little checkbox. You didn’t indicate you’d rather be left alone. The service for which you opted-in is either inundating you or they shared your email address with interested parties.

Never unsubscribe from a SPAM email

The “unsubscribe” button is a scamSo how do you stop SPAM from flooding your inbox? The first step is do not unsubscribe from SPAM. Ignore the convenient “unsubscribe” button at the bottom of the message from the Nigerian prince. The “unsubscribe” button is a scam. The cyber-criminals to get more info about you and increase the number of SPAM emails you receive.

1. When you unsubscribe, you confirm to the sender that your email address is valid and in active use. SPAMers now know the account is active and the volume of SPAM you receive will most likely go up. Now that you have validated your address, the SPAMer will sell it to his SPAMer friends. Now you will get SPAM from a completely new source.

A Federal Trade Commission study found that more than half the time, responding to a “remove me” option resulted in either no change or more spam emails.

2. In addition to giving away your email address, unsubscribing delivers lots of information about your email software. Emails contain meta-information that hackers can use to devise attacks.

3. When you respond to the SPAM email, SPAMers think you are interested in the subject matter—whether it’s getting money from a foreign prince, a penny stock tip, or a diet supplement.

4. If your response opens up a browser window, you’re giving away even more information about yourself. By opening a browser SPAMers learn information about your:

    • Geographic location,
    • Computer operating system,
    • Web browser.

Additionally, the SPAMer can give you a cookie. A cookie allows the attacker to track you across any other websites they own. They will be able to identify you personally.

install malware on your computer,5. Worst of all, if you visit a website owned by a spammer, you give them a chance to install malware on your computer, even if you don’t click anything. These attacks, known as drive-by downloads, can be tailored to use exploits the SPAMers knows you’re vulnerable to—thanks to the information you’ve shared about your operating system and browser.

How to stop SPAM email

Use SPAM filters – SPAM filters work by looking at the nitty-gritty technical details of the email. What it’s about. What it says. How it says it. How many other people are getting that same email message? If it looks like SPAM, then the email is placed in your SPAM or junk mail folder instead of your inbox. spam filtering machine learning algorithmsIf you’re using webmail, like Gmail, Outlook, or Yahoo!, then you have a pretty good SPAM filter already. Gmail claims their SPAM filtering machine learning algorithms are 99.9% accurate. You can improve the default SPAM filters. You need to train your SPAM filter. To train your SPAM filter – report SPAM every time that you find it in your inbox. Whether you use, Gmail Yahoo, Outlook or Thunderbird, you should take the time to learn and understand its SPAM filtering features. When you flag an email as SPAM, your email app will use this information to refine its spam filter. The SPAM email filter will automatically get better at detecting SPAM emails in the future. This could be either globally if enough other people say the same things about emails like that. Keep flagging SPAM emails and the number of SPAM emails in your inbox should decrease – perhaps dramatically – over time.

Stay safe out there!

Related article   Ralph Bach has been in IT long enough to know better and has blogged from his Bach Seat about IT, careers, and anything else that catches his attention since 2005. You can follow him on LinkedInFacebook, and Twitter. Email the Bach Seat here.

Elephants on the Internet

Elephants on the InternetThe global COVID-19 lockdown is now taking its toll on endangered wildlife like elephants and rhinos around the globe. Global lockdowns have caused a sharp drop in Africa’s wildlife tourism revenue. Wildlife tourism in Africa is a $169 billion industry. It employs 24.6 million people and is often the only employer in areas where wildlife thrives. The tourism business has helped curb poaching in several ways. First, tourists act as a deterrent to poachers. However, with fewer tourists, there are fewer tourist vehicles in parks. They are no longer a deterrent to poachers.

The amount of poaching is on the rise because COVID-19 has reduced funding for law enforcement in wildlife areasAfrica’s wildlife tourism revenue funds help to sustain wildlife reserves across the continent. At many of the reserves more than half of the budget comes from tourism revenues. Matt Brown, with The Nature Conservancy’s Africa program, told ABC News that tourist fees support rangers. Fees such as bed-night, and conservation fees help pay for the rangers‘ salaries. The fees also pay fuel for airplane patrols, and more – hampering security and opening the game reserves to poachers. 

Vulnerable to poaching

Without money to support the rangers — and the highly endangered animals they protect – elephants gorillas and rhinos — are left vulnerable to poachers. The amount of poaching is on the rise because COVID-19 has reduced funding for law enforcement in wildlife areas

highly organized illegal poaching threatens rhinos,

CNBC reports that highly organized illegal poaching threatens to send African wildlife into extinction over the next several decades. Most vulnerable to extinction are the black and white rhinos, lions, and elephants. The black rhino population has plummeted 97.6% since 1960. The lion population is down 43% in the last 21 years, according to the World Wildlife Fund. At least 35,000 African elephants are killed each year. There are only 1,000 mountain gorillas and 2,000 Grevy’s zebras that remain on the continent.

According to reports, six elephants were killed on one June day in Ethiopia’s Mago National Park. That compares to 10 in that nation for all of 2019. Officials suspect that most elephant tusks and finished products are shipped to China and south-east Asian countries. To make matters worst, in 2017 the Trump administration rolled back the ban on hunting elephants. The Trump policy allows elephant remains to be imported into the United States. Conservationists believe that elephants in the wild could be extinct within 10 years due primarily to poaching. 

Using IoT to protect elephants

 OpenCollar, an open-source modular animal-tracking collar system for wildlife monitoringExtinction does not have to be the “new normal.FierceElectronics reported on a collaboration using Internet of Things (IoT) technologies to protect elephants in the wild from extinction by developing a next-generation elephant tracking collar. The collaboration between Phoenix-based electronic components firm Avnet’s developer community Hackster.io, and conservation group Smart Parks which focuses on technology to protect endangered species, are running a design competition called ElephantEdge.

The ElephantEdge challenge asks developers to leverage the Internet of Things (IoT) technologies that can help humans protect elephants from extinction. ElephantEdge will combine software, machine learning (ML), and hardware to build the next generation elephant collars. The next generation collars will have better battery life, longer range, and accuracy that can be worn by elephants in the wild.

Elephant IoT collars

The elephant IoT collars will have sensors for audio pickup, location, and position as well as low-power, wide-area antennas that provide wireless connectivity. The new collar will use hardware and software from different vendors:

The ElephantEdge Challenge requires developers to build machine learning models with Avnet’s Edge Impulse Studio and tracking dashboards with Avnet’s IoTConnect– which will provide useful tracking, health vitals, motion, environmental anomalies, and more. ElephantEdge challenge looks to create machine learning  models like:

  • Poaching Risk Monitoring: Identify an increased risk for poaching by learning when an elephant is moving into a high-risk area and send real-time notifications to park rangers.
  • Human Conflict Monitoring: Prevent conflict between humans and elephants by sensing and alerting when an elephant is heading into an area where farmers live by detecting if any mobile phones or WiFi hotspots are near.
  • Elephant Musth Monitoring: Detect and alert when an elephant bull is in musth by using motion and acoustic sensors to discern this state of erratic, loud, and aggressive behavior.

vocal communications between elephants

  • Elephant Activity Monitoring: Collect data on the general behavior of the elephant, such as when it is drinking, eating, sleeping, etc. by using accelerometer data.
  • Communication Monitoring: Listen for vocal communications between elephants via the onboard microphone. 

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This is an example of when IoT tech can do good for the world – protect animals like elephants, gorillas, rhinos, lions, and polar bears which cannot protect themselves from extinction.

Nobody is going to get rich doing this work – challenge winners will receive an Apple Watch 3 and a collectible t-shirt as prizes – but the world will be a better place.

By the end of 2020, ten next-generation elephant collars will be produced for Smart Parks to deploy in selected African parks, in partnership with the World Wildlife Fund. Final software and hardware will be documented and shared freely under an open-source license. 

Stay safe out there!

Related articles

 

Ralph Bach has been in IT long enough to know better and has blogged from his Bach Seat about IT, careers, and anything else that catches his attention since 2005. You can follow him on LinkedInFacebook, and Twitter. Email the Bach Seat here.

Groovy Grillin’

Groovy Grillin'SUMR HITS 5000 may be the name of the mixtape you made for your high school sweetheart – it not. Just in time for the July 4th marketing run-up spice company, McCormick introduced SUMR HITS 5000. The SUMR HITS 5000 is a gas grill with an integrated DJ station. Now you can dance with your Delmonico or rumba with your ribs.

McCormick Unveils First-of-its-Kind Grill The SUMR HITS 5000 grill augments your everyday cook-out with custom hardware and machine learning. The custom-made grill technology allows the griller to decide when and what sounds are added to their music track. You can “create custom music tracks” on the grill. The tunes change as food is placed on the grill and which spices and sauces are used.

SUMR HITS 5000 grill creds

In order to give the SUMR HITS 5000 grill some cred, McCormick signed up some talent. They signed up award-winning Pitmaster Myron Mixon and hip-hop legend DJ Jazzy Jeff to sell the product. McCormick Creative and Digital Marketing Director at Alia Kemet said in a presser,

McCormick wanted to explore innovative ways our fans could spice up and enhance their summer grilling, Music plays an important role in enjoying food, flavor and the overall experience. The SUMR HITS 5000 creates the intersection of expressing one’s passion for flavor through original song, and we think it’s the perfect blend of mixing taste and art

Engadget says the SUMR HITS 5000 grill uses a mix of technologies. The grill uses capacitive touch sensors, (the same thing as your phone) computer vision (that drives autonomous vehicle), and machine learning :

  • The grill grate has capacitive touch sensors. Move a burger from one spot to another, and that triggers a sound. Remove a condiment from its assigned spot, and you’ll hear another.
  • The grill uses computer vision algorithms, powered by a standard webcam that could detect human poses. Shake some spice over your food, and you’ll literally hear what sounds like a powder shaking.
  • The knobs and condiment holders are lit with neon blue LEDs.
  • The grill uses a 3.5mm audio jack to plugin for sound, with no built-in speakers (the one Apple got rid of).

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CheeseburgerI like to grill – even in the snow – but this is a bit much. Maybe if Will Smith ran the grill, and they added a beer tap – that would be a party!

The SUMR HITS 5000 is a concept grill, so you can’t run out and buy your own in time for your Independence Day festivities. But you can see it in action here!

Related articles

 

Ralph Bach has been in IT long enough to know better and has blogged from his Bach Seat about IT, careers, and anything else that catches his attention since 2005. You can follow him on LinkedInFacebook, and Twitter. Email the Bach Seat here.

The Truth About Cyber Security Jobs

The Truth About Cyber Security JobsSites like Monster and CSO.com are predicting a massive wave of new cyber security jobs. Some industry pundits claim there will be up to 3.5 million unfilled cybersecurity positions by 2021. Despite this euphoria. a recent survey by Computer Economics found that security staffing is declining despite security being a top priority for organizations.  The research firm’s annual IT Spending and Staffing Benchmarks study found that after two years of increases, IT security personnel have declined as a percentage of total IT staff.

Cyber Security staff members declined

The Computer Economics report found that IT security staff members declined to 2.9% of the total IT staff in 2018. This is on par with the percentage in 2016, It is down slightly from 2017. Previously, the ratio was stable from 2013-2015 at 2.6%.

IT Security Staffing Ratios

Computer Economics – IT Security Staffing Ratios

A net 75% of organizations that responded to the survey are increasing their spending on security. However, the researchers found that increases in spending do not necessarily lead to headcount growth. Improved technology continues to allow IT staff to be more productive.

Technologies reduce IT security staff count

Major growth areas in IT security include using artificial intelligence (PDF) and machine learning to track anomalies before humans can detect them. Other technologies reducing the IT security staff are Software-defined networking, better awareness around application development to ensure better security from the start. The reduction of in-house infrastructure due to software as a service (SaaS) and the public cloud also contributes to staff numbers holding steady.

However, despite these trends, the need for increased and improved security may eventually lead to increases in security staffing, especially as cloud usage decreases the need for other types of in-house IT support personnel.

In the presser announcing their new report, David Wagner, vice president of research at Computer Economics said, I’d still expect to see slow and steady increases over the next few years, But it is unlikely we will see major jumps. Beyond the efficiency aspects, it is still difficult to find skilled IT security personnel. We’ve seen it before that when a job requires skills that are difficult to find, technology is quickly built to fill in the gaps.

In the face of these challenges, IT executives must ensure that their IT organizations have the proper skills to respond to the latest security threats. For instance, IT security experts are realizing that intrusion-prevention measures must be complemented by the ability to quickly detect an intrusion, stop it from spreading, and remediate it. Privacy must also be top of mind, in the wake of the European Union enacting the General Data Protection Regulation.

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Based on these findings, it seems likely that the cybersecurity boom just went bust. For those who still want to try o change careers into cybersecurity, take a look at the Cybersecurity Supply/Demand Heat Map from CyberSeek. This tool could help you make some good decisions about how to crack the hiring game. According to CyberSeek data, there is an over 500% over-supply of CompTIA Security+ credential holders in metro Detroit. As one would expect, the CISSP credential has the most demand and has a shortage of holders.

Related articles

 

Ralph Bach has been in IT long enough to know better and has blogged from his Bach Seat about IT, careers, and anything else that catches his attention since 2005. You can follow him on LinkedInFacebook, and Twitter. Email the Bach Seat here.

Motor City v. Silicon Valley

– Updated 03-30-2018 – Business Insider reports that Silicon Valley darling Tesla shares have collapsed almost 6% since January 1 on a string of critical reports about the company’s ability to keep up healthy production levels and meet delivery expectations for its new mass-market Model 3 sedan.

Motor City v. Silicon ValleyBack in April, the tech sector was leaping for joy when Tesla’s stock market valuation passed Ford and GM. Rumors abound in Silicon Valley that Tesla is the future of transportation and Elon Musk is the king of cars because they took more orders for cars that did not burn up or crash out of control. In 2016 Tesla delivered only 76,000 vehicles. Ford sold nearly 1 million F-Series trucks in 2016.

Ford and GMDespite the happy dances in Silicon Valley, which fancy itself as the logical successor to Detroit as the capital of American innovation new research says not so fast. The west coast upstartsUber, Google (GOOG), and Tesla (TLSA) — still have a lot of catching up to do when it comes to outpacing Michigan manufacturers. The Verge points us to Navigant Research, whose newly released “leaderboard” report ranks autonomous vehicle players not just on their ability to make a car drive itself, but on their ability to bring that car to the mass market. 

Navigant Research scored 18 companies working on self-driving technology on 10 different criteria related to strategy, manufacturing, and execution. The report combined all that into an overall score to get a sense of who’s ahead and who’s not. General Motors (GM) and Ford (F) are currently leading the pack, with Daimler and Renault-Nissan close behind. Those four companies make up Navigant’s “leader” category. In other words, when you climb into your first self-driving car in 2021, it will almost certainly be built by one of those four companies.
Navigant Research Leaderboard: Automated Driving Vehicles

Most everyone else is in the “contender” category. This includes car companies like BMW, PSA, Hyundai, Toyota, Tesla, and Volkswagen; suppliers like Delphi and ZF; and tech firms like Alphabet’s Waymo. Further down the list, in the “challengers” category, are companies like Honda, nuTonomy, Baidu, and Uber.

Detroit is beating Silicon ValleyGM Assembly line

Sam Abuelsamid, a senior research analyst at Navigant and one of the authors of the report, told the Verge the reason Detroit beating Silicon Valley so badly in this all-too-crucial race to get autonomous vehicles on the road is because of experience. He says, Silicon Valley, “ …. will have to do deals with someone to get actual vehicles.”

Alphabet’s Waymo, scores top marks for technology but drags in the production strategy and sales, marketing, and distribution buckets. The company plans to work with legacy automakers to put its tech in cars, but has not yet struck any major deals. Mr. Abuelsamid detailed on an email with the Verge that Waymo is in the best position of the contenders.

Waymo logoThey have almost every piece of this—except the product strategy … Waymo has what is arguably the best technology right now, although they probably aren’t that far ahead of the leading [original equipment manufacturers] but they will have to do deals with someone to get actual vehicles”

Despite Uber’s high profile, a recent study showed that only 15% of U.S. consumers have tried a ride-hailing app like Uber. Uber also has a safety problem – Uber drivers have been charged with murder and violent crimes against their customers.  In the Navigant research, Uber wallows near last place thanks to low grades for distribution, product portfolio, and staying power—and because makes Uber makes neither cars nor money. In fact, its key strength—that it already operates a global fleet of shared vehicles—may not be enough here. “It’s a lot easier for the company that actually has the infrastructure to create vehicles to recreate what Uber’s done, than the other way around,” Mr. Abuelsamid says.

Scale matters in the auto industry.

The Navigant analyst explained scale matters in the auto industry.

All the little [Silicon Valley] startups may have some interesting ideas, but they don’t have the resources to produce something sufficiently robust to be commercially viable. If they have something good to offer, their best bet is an acquisition

Mergers and acquistionsThe “legacy automakers” have engaged in mergers and acquisitions and early maneuvering in the autonomous vehicle arena as Mr. Abuelsamid stated. The report predicts that big companies will buy little startups to leverage their technology and expertise to round out the much larger-scale enterprise of developing, testing, validating, producing, and distributing self-driving cars.

Wired says Ford and GM both score in the low to mid 80s on the technology front; it’s their old-school skills that float them to first and second place. They’ve each spent more than a century developing, testing, producing, marketing, distributing, and selling cars. Plus, each has made strategic moves to bolster weak points.

Chevy BoltGM recently acquired Cruise Automation, a San Francisco-based autonomous vehicle technology maker in a deal valued at more than $1 billion. GM said the acquisition will allow it to “accelerate” its autonomous vehicle development efforts.

Ford has announced an investment of $1 billion over the next five years in Argo AI, a startup run by Carnegie Mellon roboticists and engineers who really know their artificial intelligence stuff.

Waymo Chryslet PacificaFiat Chrysler has partnered with Alphabet to jointly test autonomous technology in Pacifica minivans, and Alphabet is opening a 53,000 square foot self-driving car development center near Detroit in Novi, MI.

GM has invested $500 million in ride-sharing provider Lyft to beef up its ridesharing service. In the “long-term strategic alliance,” the companies will work on what they call “on-demand autonomous vehicles.” For now, the deal means GM cars will be the “preferred” vehicle used by Lyft drivers who rent their cars in various U.S. cities. Those vehicles will tap into GM’s OnStar service, while GM and Lyft promised “personalized mobility services and experiences,” but did not elaborate.

Ford invested $75 million iin LiDAR maker VelodyneFord, meanwhile, recently announced a $75 million investment in LiDAR maker Velodyne, to “quickly mass-produce a more affordable automotive LiDAR sensor” so the company can launch a fleet of self-driving ride-sharing cars by 2021

Ford has also acquired SAIPS, an Israeli machine learning firm to further strengthen its ability in artificial intelligence and computer vision. SAIPS has developed algorithmic solutions in image and video processing, deep learning, signal processing and classification. This expertise will help Ford autonomous vehicles learn and adapt to the surroundings of their environment

Ford announced that it would take part in a $6.6 million seed funding round for Civil Maps to further develop high-resolution 3D mapping capabilities. This provides Ford another way to develop high-resolution 3D maps of autonomous vehicle environments. Ford has also agreed to acquire Chariot, an on-demand shuttle service based in San Francisco.

Mr. Abuelsamid predicts that early on,  you probably won’t be buying a self-driving car at a dealership, but rather riding in one that you hail through an app-based service like Uber or Lyft. These vehicles will be part of a fleet owned by a manufacturer, like Ford or GM. Fleet ownership will help manufacturers manage the issues self-driving vehicles are likely to encounter early on, like insurance for the inevitable accidents. Navigant’s Abuelsamid says

With all of that in mind, it’s far easier for a manufacturer to replicate the sort of logistics platform that Uber or Lyft have than it is for those companies to invest in and create the development, manufacturing, and service infrastructure that [original equipment manufacturers] have

Mr. Abuelsamid noted that Tesla ranked pretty far down the “contender” because Elon Musk’s company is “lacking in quality, distribution, financial stability, and their [Autopilot] 2.0 hardware will never be more than limited Level 4-capable (PDF) at best.” In other words, Musk would be advised not to start gloating about his company being valued higher than the OG’s Ford and GM quite yet.

Related articles

 

Ralph Bach has been in IT long enough to know better and has blogged from his Bach Seat about IT, careers, and anything else that catches his attention since 2005. You can follow him on LinkedInFacebook, and Twitter. Email the Bach Seat here.