CLEARLY OPAQUE PRIVACY RISKS OF THE INTERNET OF THINGS

| June 11, 2018

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The IoT will expand the data collection practices of the online world to the offline world. — The IoT will enable and normalize preference and behavior tracking in the offline world. This is a significant qualitative shift, and a key reason to evaluate these technologies for their social impact and effect on historical methods of privacy preservation. The very notion of an offline world may begin to decline.

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Gopher Protocol Inc.

Gopher Protocol Inc. is globally recognized for breaking a disruptive technology into the market, providing self-learning and adapting applications in mobile space. With mobile apps market growing every day, we are differentiated by leveraging fresh innovations in Artificial Intelligence and Internet of Things (IoT) to invent mobile technology that makes the world a global village. To achieve this, we work around cutting-edge communication technology that guarantee computing power enhancement, advanced mobile database management/sharing and additional features.

OTHER ARTICLES

HERE’S WHY SMART IOT IS FUTURE

Article | February 15, 2020

The term ‘connectivity’ is no more confined to laptops and smartphones, as we’re witnessing a transition towards smart cities, smart homes, smart retail, connected cars along with connected healthcare to name a few. In this arena where advanced technologies have been blooming at a tremendous rate, IoT is also catching up. IoT has been one such technology that is going to have an impact not only today but also in the coming future. The base for IoT is designed for storing and processing IoT data and is the core of all IoT-related devices and solutions. The base has been set in such a way that it provides an intake of huge volumes of data generated by sensors, user websites, applications and then accordingly initiates actions based on real-time responses and analytics.

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How Will the Emergence of 5G Affect Federated Learning?

Article | February 15, 2020

As development teams race to build out AI tools, it is becoming increasingly common to train algorithms on edge devices. Federated learning, a subset of distributed machine learning, is a relatively new approach that allows companies to improve their AI tools without explicitly accessing raw user data. Conceived by Google in 2017, federated learning is a decentralized learning model through which algorithms are trained on edge devices. In regard to Google’s “on-device machine learning” approach, the search giant pushed their predictive text algorithm to Android devices, aggregated the data and sent a summary of the new knowledge back to a central server. To protect the integrity of the user data, this data was either delivered via homomorphic encryption or differential privacy, which is the practice of adding noise to the data in order to obfuscate the results.

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THE FUTURE OF BIOMETRICS IOT

Article | February 15, 2020

In 2018 when Apple unveiled its iconic iPhone X with a feature to unlock the phone with Face ID thereby eliminating the use of the home button, it met a lot of eye-rolls. Fast forward to now, people are in love with the biometrics enabled technologies. While iPhone X had a unimodal authentication system, gadget these days have updated themselves in a better way. Let’s try to have a better understanding of the Biometrics. Biometrics are a way to measure a person’s physical characteristics to verify their identity. It can be physiological traits, like fingerprints and eyes, or behavioral traits, that define the manner an individual respond to stimuli. These characteristics are unique to the person. Once collected the data compared with the pre-existing database to find a match. Accordingly, it then produces an outcome. There are many varieties in which this data is collected. Facial and voice recognition, iris and finger scanner, signature verification, hand geometry, keystroke, gait detectors are some of the examples.

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From outside-in to inside-out: My take on IoT

Article | February 15, 2020

At IDC I co-founded a practice that studied the three dimensions of IoT: industry technology platforms, industry verticals and industry geographies. As an industry analyst, I had a front-row ticket to the IoT market and continually witnessed incredible innovations. Like many other experts, I kept my seatbelt buckled for what we expected to be IoT’s massive and dramatic take-off. While there has been uptake, real-world adoption and implementation have lagged the “hype.” In time, I found myself growing increasingly frustrated at the disconnect. What was the holdup? Knowing that industry analysts are beholden to the marketing messages that each company shares, I welcomed an opportunity to make the move from an outside-in analyst to an inside-out contributor.

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Spotlight

Gopher Protocol Inc.

Gopher Protocol Inc. is globally recognized for breaking a disruptive technology into the market, providing self-learning and adapting applications in mobile space. With mobile apps market growing every day, we are differentiated by leveraging fresh innovations in Artificial Intelligence and Internet of Things (IoT) to invent mobile technology that makes the world a global village. To achieve this, we work around cutting-edge communication technology that guarantee computing power enhancement, advanced mobile database management/sharing and additional features.

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