Covid-19 is Dramatically Changing Cybersecurity
Covid-19 is Dramatically Changing Cybersecurity

The pandemic has created an enormous challenges worldwide. Cyberthreats are constantly evolving in order to take advantage of online behaviour and trends. The COVID-19 outbreak is no exception.

Cybercriminals are attacking the computer networks and systems of individuals, businesses and even global organizations at a time when cyber defences might be lowered due to the shift of focus to the health crisis.

One of the latest spam campaigns mimics the World Health Organization (WHO), showing how cybercriminals recognize and are capitalising on the important role WHO has in providing trustworthy information about the coronavirus. Similarly government has warned people about a suspicious phishing attack, which in the garb of revealing official information on Covid-19 could steal all your personal data, including bank account and debit or credit card details.

Covid-19 is Dramatically Changing Cybersecurity

This is the High time to be aware of Cybercrime and learn CyberSecurity, Know types of cyber attacks:

Malicious domains:

There are a considerable number of registered domains on the Internet that contain the terms: “coronavirus”, “corona-virus”, “covid19” and “COVID-19”.

While some are legitimate websites, cybercriminals are creating thousands of new sites every day to carry out spam campaigns, phishing or to spread malware.


Cybercriminals are taking advantage of the widespread global communications on the coronavirus to mask their activities. Malware, spyware and Trojans have been found embedded in interactive coronavirus maps and websites. Spam emails are also tricking users into clicking on links which download malware to their computers or mobile devices.


Hospitals, medical centres and public institutions are being targeted by cybercriminals for ransomware attacks – since they are overwhelmed with the health crisis and cannot afford to be locked out of their systems, the criminals believe they are likely to pay the ransom.

The ransomware can enter their systems through emails containing infected links or attachments, compromised employee credentials, or by exploiting a vulnerability in the system.

With an increasing number of countries encouraging citizens to stay, learn or work from home, now is the moment to focus on cybersecurity, whether it’s for yourself or your workplace.

A Robust Cybersecurity Response

In this new environment, cybersecurity professionals must aggressively confront the risks. For starters, they need to quickly make their efforts to be aware of scams, and then train them how not to fall victim to them. E-learning platforms are valuable here.

In the wake of current scenario, Rescuing private sphere and nation by Learning Cyber Security with IIT Professors is the finest solution to all the troubles to not be a prey of cyber-crime.

A chance to learn cybersecurity at home with Industry Leaders at a take away price is the best way to grow your career now.

Complete Cybersecurity Professional Certificate Program by E-Learning Center, IIT Roorkee: Click Here

Offerings of the program by IIT Roorkee:

  • Learning by Educator & Industry Experts: Prof. Sateesh Kumar, IIT Roorkee Prof.
  • 7 days campus immersion module at IIT Roorkee Campus
  • Certification from E-Learning Centre IIT Roorkee and Eckovation.
  • Mentorship by IIT Educators
  • Lifetime access to video lectures

Open for all the departments for undergraduates or graduated professionals.

Amid country’s health crisis, Don’t let your career suffer, Staying home and Master your career in Top IT skills, let’s value the moment and Learn. With limited availability in this course we urge you to enrol soon and follow the admission procedure.

Talk to an expert at : +91-9266677335 

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Artificial Intelligence can impact your Civil Engineering career
Artificial Intelligence can impact your Civil Engineering career

Artificial intelligence has made an impact in almost every industrial sector, and civil engineering is now joining the bandwagon as well. According to a report by McKinsey, the civil construction sector has a net worth of more than $10 trillion a year, and while it has one of the largest consumer bases, until recently, the industry had been relatively under digitised. This is because civil engineering is one of the few fields in which basic practices of bricklaying and pouring concrete have remained the same over the century. However, the construction sector is set to undergo yet another industrial revolution, one powered by technology, particularly artificial intelligence.

When one mentions artificial intelligence in civil engineering, a picture of robots driving trucks and laying bricks comes to mind. On the contrary, these techniques have more sophisticated applications in construction management, design optimisation, risk control, and quality control. Therefore, it would make sense for civil engineers to enrol in artificial intelligence courses, as it would provide significant value-adds to their career. Not only is AI making construction operations more manageable, but it is also set to make the construction business more lucrative. In the same report, McKinsey states that construction companies that have been incorporating AI techniques are 50% more likely to generate profits than those who don’t.

AI has a whole gamut of operations in civil engineering that would enhance the processes and transform the way builders and engineers work:

Quality management

Construction firms utilise deep-learning techniques to improve the level of quality of their construction processes. Image recognition of photographs collected through manual drones is used to identify risk areas and is also compared against existing blueprints to detect any possible construction defects. Further, through reinforcement learning, AI algorithms can make use of trial and error techniques to identify the best processes that can be followed. By implementing these process changes in project planning and scheduling, construction firms can significantly improve the quality of their overall project workflow.

Stakeholders can also make use of neural networks and laser-generated images to gain insights on the progress of individual construction projects. By using AI to create 3-D models, they can match them with the original models to check for any discrepancies in quality. This can significantly speed up the decision-making process while also implementing actionable insights.

Optimisations in design

Civil construction firms and contractors are making use of AI-powered recommender systems. These systems use supervised learning to study design charts to suggest relevant improvements. Through their cluster behaviour approach, these recommender systems collect construction data and provide solutions to architects and engineers in areas of design and structural build. The recommender systems also take into account various criteria like execution timeline, total ownership cost, the probability of mistakes during execution, whether the area is prone to earthquakes, among others. For instance, suggestions can be made in the choice of bolted or welded connections, choice of architectural finishes, etc. As a result, construction firms have a more informed idea about which design elements will best suit a project at any given point in time.


Machine learning, a subset of AI can be used to maintain construction processes through the use of robotic arms. Civil engineers can run simulations on common maintenance processes that can teach these robotic arms to perform essential support functions with precision. These robotic simulations can be designed for any preordained task that does not require the involvement of human intelligence. These may include fabrication of materials, testing for strength, routine maintenance, checking impurity level in raw materials, etc.

Not only can AI techniques aid maintenance for physical processes, but they can also provide maintenance support in several project management activities as well. By enhancing Building Information Modelling (BIM), AI bots can follow the lifecycle of a construction project, and provide maintenance in all its aspects. Through input data from all other sources, the AI algorithms can take care of process maintenance, thus ensuring a ceaseless project flow. For instance, depending on the project timeline and execution speed, AI bots can take care of inventory management to make sure that there’s no pause in construction.

Risk control

Artificial neural networks (ANN) through artificial intelligence are proving to be useful measures for risk control as they interpret a collection of construction information to draw meaningful conclusions. ANN help construction firms to predict the likelihood of possible failures, thus preparing them to come up with appropriate contingency plans.

Construction firms can also apply artificial intelligence techniques to address client and market risk factors. Through the Naive Bayes algorithm, engineers can perform sentiment analysis on their firm’s standing in the market, and can thus come up with targeted efforts to prevent stock prices from falling. Other AI algorithms can also be used to segment customers based on their characteristics and behaviour patterns to come up with better business development strategies, thus preventing them from risks of plausible fallout.

In a nutshell

Through its application of AI-powered algorithms, the civil sector is overcoming challenges it used to face, thus improving productivity and overall efficiency. The civil industry invests approximately 1 percent of its net share in technology, however, with the integration of AI in its techniques, this figure is only estimated to grow. As AI provides more operational solutions, an increasing number of infrastructure groups are applying AI techniques to their projects.

By making project development faster and more cost-effective, artificial intelligence has carved a niche for itself in the civil sector. The construction industry is at a point where it is poised at a technological breakthrough in its processes. In this respect, investing in artificial intelligence courses is bound to provide a competitive edge to anyone who’s building a career in civil engineering.

What to do next as civil engineers

Getting professional skills in AI is something which is very important. To meet the massive demand for AI & ML engineers in the market, Eckovation with E&ICT Academy IIT Guwahati has launched new program, Post Graduate Online Certification in Artificial Intelligence and Machine Learning which will provide an online learning program of 8 months with live training by IITG Professors in AI & ML for more than 250+ hours with a 2 week of classroom training at IIT Guwahati to build their projects and further their learnings. The candidates will also have unique access to the placement services offered by Eckovation, to jump start their careers in the field of AI & ML.

Explore the Certification Program of E&ICT Academy, IIT Guwahati: Click Here

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