by Anika D | Apr 9, 2021 | Cybersecurity, Industrial IoT
Unauthorized attempt which could expose your personal data defines cyber-attack. It could include installing spyware or phone tapping without your permission. With the increase in cyber-crimes, we witnessed some major cyber-attacks in 2020.
Common Cyber Attacks In 2020
SolarWinds
SolarWinds was one of the most talked cyber-attack. Eminent companies like Microsoft etc. were also affected by it. The server that gives access to updates of SolarWinds was compromised and thus attacked. This code allowed information modification.
Twitter
Apart from this Twitter was also in the news lately. It was observed that fraudulent information regarding bitcoin was posted. The user apparently asked the twitter account holders for Bitcoin and through this received more than $100,000. Bill Gates, Elon Musk, Kanye West etc. were some of the famous personalities that were targeted.
Marriott
You think your data is safe with hotels? Well data of almost 5.2 million guests of Marriott were accessed. Marriott is one of the most eminent hotels throughout the world. The information included the name, birth date, phone number, address etc.
Zoom
Zoom was another such application that was attacked by hackers. Government also released the statement that zoom was not safe to use. Also, zoom codes were not so hard to crack so anyone could join in the meeting and get access to all the confidential data of the company. However, zoom has now hired an intelligence firm to look over the safety.
Greek Banking System
All of us have heard about the Greek Banking System. A Greek travel site was hacked due to which a lot of debit and credit cards were cancelled by the 4 main banks of Greece due to security protocols. A few customers were also charged with undesirable transactions. This website was a travel website and was used to book tickets etc.
MGM
MGM was another travel related incident that was exposed to cyber-crime. Personal data of around 10.6 million guests was at risk. MGM resort is a global entertainment company accompanied by resorts and casinos. Information of Famous personalities like Justin Bieber, Jeff Bezos was also at risk.
Finastra, was also attacked by a ransomware in which it was temporarily disconnected and thus affected servers from the internet. Though there is no evidence that the data of the employees were exfiltrated it did disrupt the operations.
Let’s Take a Look At The Statistics
Today, cybercrime has affected more than 50% of businesses. Human errors are responsible for 95% of it. It is a shame but only 5% of company’s folders are the ones which are properly protected. There were 11,762 cases Between January 1, 2005, and May 31, 2020
It is seen that in the first half of 2019, attacks on IoT devices have tripled. A whopping amount of $3.92 million has cost enterprises due to data breaches. Due to COVID, cybercrime has increased up to 600%.
To conclude we can say that cyber-crime is a punishable offence. There are several laws against it. By being a little more attentive we can help in stopping the spread of cyber-crime. Cyber-crime violates basic human laws too. It is time, let us take a stand against it.
by Anika D | Apr 9, 2021 | Artificial Intelligence, Industrial IoT
Our lives stood still when Covid-19 hit us. We all moved to remote working. In these times, technology has been our saviour. It has helped us in educating people and creating awareness towards the pandemic.
Also, it has helped us to connect with our near and dear ones even during the lockdown. It was because of technology that contact tracing and contactless movements all over the world were made possible.
Technology Uses for COVID-19 Recovery
Contactless Thermal Screening
One of the most common symptoms of covid-19 is fever. It would have been nearly impossible to check everyone’s temperature using a thermometer. With the technique of Artificial Intelligence, digital thermometers have been brought into play. They have been extremely useful at airports, malls, restaurants and all public places.
Contact Tracing
One of the most interesting uses of technology has been brought into play by South Korea. They have been very successful in contact tracing via the use of cameras, bank records, GPS from mobile and vehicle to check the real-time data of a person’s whereabouts.
China has also developed a QR code system. In this, the person fills up a small form, gives information like their temperature and lets the authorities keep a check on their movement. This was very useful in cases of home quarantine.
CT Scan
Wondered how to know how much covid-19 has spread in one’s body? Well, with the help of another advanced technology in the field of medical science. CT scan provides internal images of the body, and within seconds, the doctors can figure out its spread towards the lungs.
Work from Home
The work from home that we’re all relying on right now is only due to the advancement of technology. Due to the network connectivity and cloud platforms, we can now easily save, upload and send data with full protection. The 5G technology may also empowering this new work culture in the future.
Contactless Movement
We’ve all heard about drones, robots etc. However, in China, they were used to fight coronavirus. Spraying disinfectant using drones and providing basic essentials using robots provided contactless movement in the country. Apart from this, drones were also used to carry testing kits, medicines and checking over the quarantine locations.
Fighting Misinformation
During this time of the pandemic, it needs to be made sure that no misinformation is spread. With the help of technology such as adding voice messages, giving information regarding the safe use of vaccines needs to be given to people. Google, Facebook, YouTube has also worked towards guiding people regarding the same.
Transparency in Data Sharing
During these times, it is imperative that everyone is aware of the number of cases and correct facts regarding the coronavirus. Applications like Tik-Tok, which gained fame during the pandemic, patterned with WHO to do the same. It has also donated nearly $10 Million to fight with the same.
Conclusion
With the world constantly moving towards digitalization, there has been an advancement in the use of technology. It is because of this technology we were able to limit the spread of covid-19. With the help of Artificial Intelligence, low cost ventilators have been developed. It is at times like these we realise the true use of technology. Salute to all those working day and night tirelessly for making our life easier. These are top technology uses for COVID-19 recovery.
by Anika D | Apr 1, 2021 | General
For the discipline of the enterprise, data science is the antithesis of Artificial Intelligence. By availing the whole spectrum of data at their disposal, businesses can discover data science boundaries to master in data preparation.
With the diversity in data requirements and problems, comes an extensive choice of innovative solutions. These solutions often bring a host of data science trends with themselves.
It grants the agility to the organizations that they need to offer deep insights into their data. In this guide, you will get a glimpse of data science trends in 2021.
Hybrid Cloud
In order to manage the team’s demand for better agility and near real-time response, cloud tech, as well as edge computing, is essential. Cloud engineers can deploy AI models to incorporate IT systems to exploit capabilities and focus on cost optimization.
More Applications Draft With Python
Python is an all-rounder language program in the world of “Data Science” or “Data Analysis”. This is because it consists of enormous free data science libraries, including machine learning libraries. You can also use it to develop blockchain applications to improve the economy.
Increase In Demand For End-To-End AI Solutions
It helps venture customers to set and builds machine learning models to set large data. In this way, organizations can expand their valuable and deep learning insights from their huge amounts of data. Further, it automates imperative data management tasks.
Hence, businesses are in need to have an end-to-end data science solution for growth perspective.
Corporations Hiring More Data Analysts
The need for data analysts is continuously increasing over the last five years. Mostly this requirement of a data analyst is coming from the Internet of Things as well as progress in cloud computing.
The global data storage is about to grow from 45 zettabytes to 175 zettabytes by 2025.
Data Scientists Joins Kaggle
Kaggle is becoming popular and increasing to become one of the significant data science communities. With more than five million users, it is still expanding its scope.
To commence the machine learning journey, many potential data scientists are now starting it with Kaggle. With this now, scientists can even allocate data sets to solve data science confrontations with neural networks.
Increased Interest In Consumer Data Protection
Consumer consciousness about their data privacy is also increasing. According to a survey, more than half of all customers are now paying more attention to data privacy.
Platforms like Google, and Facebook that previously collect and share user data liberally, now face both public scrutiny as well as legal backlash.
And when it comes to the future attainment and use of consumer data, this might become a bane for data science.
Augmented Analytics
It refers to constrain some superior insights from the facts in hand by eliminating any erroneous conclusions. By infusing augmented analytics, machine learning, and artificial intelligence, scientists can plan a new model. Hence, it holds a strong position for better decisions that are free from errors.
Conclusion
As organizations start to grow in every aspect of their business, they produce more data. And “Data Science” can help them to evaluate their areas of improvement to deliver their maximum efficiency.
by Anika D | Apr 1, 2021 | Emerging Technology
Nowadays, you can observe a constant emergence in technology. Artificial intelligence is growing at a fast pace, and it has the potential to completely transform your businesses.
AI is continually influencing all facets of your daily lives as well. Therefore, various tech firms are building cybersecurity defense resolutions for the same.
These are specially made by ethical hackers and penetration testers with the mind to save people. Hence it becomes important to choose the right wireless technology for your organization.
In this guide, you will learn everything you need to know about reinforcement learning.
What is Reinforcement Learning?
It is the procedure of machine learning about different models to build a progression of decisions and is the next big thing for AI. This then helps the programmer to discover how to attain a goal that depends on complexity as well as the uncertainty of the environment.
Here, your computer system will use a trial-and-error method for a solution to a problem. You can either reward or give penalties to the AI for every action that it performs for you. In this way, it helps artificial intelligence to make the best use of the total reward.
Some key terms that you must know for reinforcement learning:
- Agent: Who acts to obtain the reward.
- Environment: It is the situation which agents face during the performance.
- State: It is an existing situation that comes back from the environment.
- Reward: This is an immediate return that an agent receives when they perform any action.
- Value: It is a predictable long-run return with a discount in comparison to the short-term reward.
- Policy: This is a strategy that agents use for their decision to perform the following action
- Q value: The Q values assist agents in taking additional constraints as current actions.
Different Types of Reinforcement Learning
Basically, there are two types of it that are positive reinforcement and negative reinforcement.
Positive Reinforcement
It takes place when there is an increase in the event’s strength and frequency due to a particular behavior. It means that there is a positive effect on the behavior.
Benefits of Positive Reinforcement
- It facilitates sustaining change for a long period.
- It helps to make the most of performance.
The Drawback of Positive Reinforcement
- When the reinforcement is too much, it will lead to an excess of states and reduce the result.
Negative Reinforcement
This is a process where the system avoids unfavorable conditions, and then the specific behavior becomes strong.
Benefits of Negative Reinforcement
- Decline the least amount of performance standard
- It helps to boost the behavior
The Drawback of Negative Reinforcement
- It only allows the agent to assemble the minimum behavior of their actions
Algorithms of Reinforcement Learning
There are three ways that programmers can employ to execute a reinforcement learning algorithm that is value-based, policy-based, and model-based.
Final Words
We can say that reinforcement learning is a crucial AI paradigm that helps programmers execute both simple and complex tasks.
by Anika D | Mar 28, 2021 | 5G
At present, the utilization of power and energy-related pollution has become a major economic and operational concern in the telecommunication sector. Energy efficiency is gaining importance with an exceptional rise in network traffic and the number of connected devices. And, 5G is energy efficient!
With 5G, the mobile business has an opportunity to increase traffic for better performance. At the same time, it can also reduce energy consumption across the network. The design requirements of 5G states that usage of energy can be reduced to nearly 10 % as compared to the current 4G networks.
An Already Visible Gain In Efficiency
In the cities where 5G testing is in process, the new network already shows twice as energy-efficient as 4G. And these are merely the first deployments, carried out with technology that is still young and with networks that are of very light loads.
This development will take a technological leap forward. In 5G networks, the load of traffic that flows on the system is superior for energy consumption of the same array of magnitude.
Mechanically it results in a decline in the allocation of electricity consumption per bit. 5G will be more efficient as compared to the 4G in terms of the number of bits that deliver for a given unit.
The technical and operational levers support this evolution because of the optimization of processor and transmitter technology. In this way, it becomes possible to achieve both openness and security in the 5G World.
Built-In Antennas For More Efficiency
A foremost breakthrough made by 5G alarms the implementation of new antennas, which is known as “Massive Multiple-Input Multiple-Output”. This technology uses multiple transmitters, which configure in a two-dimensional array.
This system connects to a base station and manages the transmission and reception of radio signals. The base station systems and massive MIMO antenna communicate with remote clients; hence the wireless protocols analyze the requirement of minimum power for communication.
As a result, it cut down the energy utilization for wireless energy transmissions on the base station as well as on client devices. Thus, 5G networks with beamforming take about four times less energy than 4G networks.
Advanced Sleep Modes
One of the major developments allied with 5G is the extensive use of deep “Sleep Modes”. The basic principle behind it is very simple. It means that when there is a gap in the network activity, the base station can reduce energy consumption through its sleep mode.
The new base station can enter sleep mode in a very short gap. The best part is that even in high-use mobile networks, the utilization does not go beyond 20 percent. So, they can go into sleep mode rapidly and for a period as long as possible.
Full Duplex
With the progress in signal-processing electronics now, it can support full-duplex network communications with the same level of frequency. Prior to this, the network needs different frequency levels to transmit and receive data.
But full-duplex passive suppression and digital cancellation (PSDC) is more energy-efficient as compared to plain passive suppression full-duplex mode. Some results illustrate that the full-duplex DSDC mode reaches up to a 40 percent boost in energy efficiency relative to half-duplex.
Final Words
If you want to monetize the opportunity of energy efficiency, the 5G networks will need to grow more impenetrable. With the current requirements it is necessary to completely implement the 5G network, in order to utilize its energy efficiency to reduce energy costs.
