Apps are a part of a global force that is redefining all sectors of business and human living from an elemental level. The Internet of Things (IoT) is nothing but the entire planet connected through wireless devices and that provide solutions personalized downright to each.
In recent researches by McKinsey & Company and Cisco, it is estimated that the app and IOT framework will gain a value of USD 6 Trillion by 2025. Cisco specifies that the value of connecting people, data, objects and systems will exceed USD 14 Trillion by 2022!
The App ecosystem is redefining sectors as you and I speak. Everything from Global Affairs to security, business, and health is facing and adapting to IoT-based disruptions.
Siddhartha Garg from Quytech, a leading App Development Firm, says that when it comes to global security, as objects, data, systems and people connect to this global network, the nature of business models, stakeholder interactions, confidentiality, privacy policies and security threats is bound to change.
A clear example is Interactive Monitoring by Global4Security. It allows you to get video feeds from your smartphone relaying data from sensors and surveillance from across the perimeter. You get instant alerts for events like power outages and even when your kids arrive from school.
On the one hand, the kind of personalized control that can be established through such systems both on a domestic and global scale can guarantee increased level of security.
But, there is obviously an ironical side to the same coin. With this amount of sensitive data flowing across, the chances for threats, hacks and privacy leaks also increases.
Governments and firms have no choice but to innovate, optimize and adapt to modern technology.
The Advent of Algorithmic Security
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The volume of sensitive data on the cloud increases as more people willingly share information across different channels. This kind of data explosion makes it impossible to figure out threats based only human judgment.
Therefore, experts have no option but to rely on algorithms and codes to value different threats, track, analyze and terminate them. It is possible that predictive analytics will enable security professionals to identify threats before they become widespread.
However, we should not over-rely on such technologies and still allow room for human administration. This is because the calculations may be precise, but even a variation by the smallest integer can lead to misleading threat reports and incorrect use of resources.
Personalized Domestic Security
Low cost of innovation and high value proposition for real time solutions has led to advanced innovation in domestic security. Companies are creating app controlled home security systems that allow domestic users to have increased controls including:
- Live Monitoring through smartphone feed
- User Friendly app interfaces
- Real time alerts for personalized events
- Remote Controlled Lighting directly from app
This kind of landscape has many large scale and long-term benefits. Safety and Security provides a better lifestyle to the population and increased control over the same makes feel at ease.
However, there are questions about data ownership and privacy, which remain unanswered.
In a recent conversation with Global News, Chris Yung, General Manager of Intel Security Group states that the nature of global security is becoming more dependent on local variables.
This is because consumer devices like fitness trackers, social media apps, and even home appliances generate granular information. The information stored is of a highly personal nature, and hence the threat level is very real.
He added that “There’s one thing you are going to learn about someone from having malware on their PC, but there’s another thing you’re going to learn about them if you were able to get access to data coming off of a wearable device.”
Will Privacy be redefined or a new age of radical openness is upon us?
Imagine a world connected to the Internet 24 hours a day, 7 days a week! The amount of data that one would share voluntarily on the cloud would be exhaustive. One cannot even estimate the explosion involuntary data submissions will make.
These include the data streaming through smart devices in your homes, cars and appliances recording usage patterns, maintenance patterns and other data. Privacy will probably cease to exist but something else will take its place.
As evolution dictates, privacy will not die but its definition will evolve. Dynamic technology will enable the right kind of information to be made available at the right time. Perhaps we will enter an age of radical openness, a golden period of transparency!
A clear advantage will be that organizations that do not stand by this transparency will be logically proved against the society. This will automatically eliminate threats. The best-case scenario is that people will not trade their privacy in return for goods and services as many think.
In the end, people will trade their privacy to become part of society and demand that organizations and institutions do likewise.