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Now is the Time to know about Cybersecurity

Cybersecurity is the defense of hardware, software, and data from unauthorized persons, also known as bad actors. This kind of security is applied by users such as individuals or businesses to protect their servers and computerized systems from malware, phishing, and other cyber threats.

The Threats
The objective to implement cybersecurity is to supply the user with a proper security posture that will help him/her predict, prevent, and respond to cyber-attacks. The aim of bad actors is varied and includes theft of data, identities, money, etc, and theft of IT assets. Bad actors are smart, skilled, and often get paid well to extract and hack important information and data. They are extremely persistent hackers using their stealth controlling systems until their target is reached. This situation is known as an advanced persistent threat (APT).

APT can come from data that is stored by attackers on devices, like mobiles, computers, tablets, servers. This threatening data is installed for malicious use namely extracting critical information about individuals and businesses, stealing money from personal or company accounts, etc. Malware is colloquially spoken of in different terminologies as viruses, spyware, worms, trojan. Blocking these bad actors and their devious threats involves effective cybersecurity.

How to Protect
Cybersecurity is ever-changing. It is always being updated to face the fast-changing threats that evolve together with new technologies. Although we read about cyber-attacks on large companies, we must not think that attackers would not be interested in small businesses or single users. Even these small entities and single users should have cybersecurity firewalls in their devices and servers that will protect their systems from threats and attacks.

Staff and management of a company, whether large or small, should be trained; the staff will need to learn how to use and apply the necessary tools to protect the systems. Since technology is continuously changing and evolving, so will the cybersecurity tool, thus to protect data on the virtual world one must be updated with the latest security tools.

Current Scenarios
A very recent scenario that happened on the 7th of May in England which was published by BBC News, entitled  Coronavirus: Scam sites selling masks and fake cures taken down” The article highlighted how the National Cyber Security Centre of the UK (NSCS) received over 10k reports that scammers were sending emails worldwide selling face masks, COVID-19 tests, and vaccines. The reports arrived in a day and this triggered a national alarm in the country.

Other emails even cloned the English government websites that were asking for payment information from readers such that these claim their refunds.

The Chief of the NSCS stated that it was also thanks to the help of the public that over 300 websites were shut down. The NSCS set up The Suspicious Email Reporting Service two weeks before the deal with the reports that were starting to arrive.

On April 13th US News published an article relating to how cyber-attacks were on the increase. And states how hackers are taking advantage of the Corona Virus pandemic to attack the Pentagon because most of the employees at the Defense Department are communicating only through online tools.

We all recall the Yahoo! data theft that affected over three billion users. This was a sensational attack on the user’s details that affected an immense number of people and computer systems. It will always be known as this company’s largest security and network breach.

During this cyber- attack, hackers got access to numerous passwords, dates of birth, personal details, account details, identification numbers that were protected, encrypted by a security system that was easy to crack. Also giving them access to government servers and accounts. This incident brings out the vulnerability of our data in the cyber world.

A Future Perspective

It is no news that the internet is an integral part of our lives. We do everything through the internet, from online reading, cooking, dancing to shopping, chatting, meeting friends, new or old. If all this was tangible not just virtual, in a home, we would have the strongest alarm and security system installed in every room. We would do everything in our power to protect our belongings. This is what cybersecurity is. It blocks thieves from entering our virtual but private life.

What is happening in the present should lead us to have a glimpse of the future. We should learn from what we are doing to improve and strengthen the future of cybersecurity. One can anticipate that since the number of online users is always on the increase, the number of cyber investigators will grow too, thus self-alertness such as securing personal data like identification data, account data, passwords, is always necessary, along with stringent laws to curb these cyber crimes.

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INDUSTRY 4.0 – The Emerging and Exponential Technologies: The Future Ahead

The fourth industrial revolution, commonly known as Industry 4.0 is not only changing the way we manufacture but also the way we live. New emerging technologies are making us more productive and are bringing about ease of operation. We, humans, are getting relieved from spending hours on many unproductive tasks that are taken care of by the machines equipped with these fast-emerging technologies. The future belongs to these technologies and to be future-ready and competitive, The blog focuses on emerging technologies and how they are impacting and changing the world.

Industry 4.0 The Gradual Evolution
The first industrial revolution took place when water and steam power were used to mechanize the production processes. And the second one was when the industry started using electricity for mass-scale production and assembly lines.

The technological gains made during the third industrial revolution are being taken forward now in the manufacturing processes with the introduction of many emerging and exponential technologies like the Internet of Things (IoT), Internet of Systems (IOS), Robotic Process Automation (RPA), Artificial Intelligence (AI), and Machine Learning (ML), etc. These technologies have revolutionized the way we manufacture products with machines being interconnected, analyzing data, and making decisions without help from humans. This is what is being termed as the fourth industrial revolution or Industry 4.0.

Let us see few important emerging and exponential technologies are making a big difference to industrial processes and systems and are changing the world.

1. Artificial Intelligence (AI) and Machine Learning (ML) - Artificial intelligence and Machine Learning are the terms coined to describe machines that can use their own experience to make corrections, understand new inputs and adjust accordingly, and perform tasks that would normally require human intelligence. AI and ML do not necessarily apply to the manufacturing industry only. These technologies are used to train computers to use a large amount of data to understand a pattern in it and work accordingly. Machine Learning makes computers learn automatically without any human assistance.

Any equipment working on AI and ML has the capacity to store more data than a human mind. Almost all fields of human activity have started using these technologies.

2. Robotic Process Automation (RPA) - There are a lot of business processes that are done manually and are repetitive in nature. Robotic Process Automation makes use of computer software or programs to partially or fully automate these processes.

Robot Process Automation technology can do many tedious tasks that humans may find boring. Another benefit of RPA is that it can complete the work faster than humans because it can retrieve the necessary data from the background more easily and quickly.

Cybersecurity - Every organization wants to protect its systems, networks, and data from any kind of digital attack. This is so because these digital attacks may access, change, or destroy sensitive information. Cybersecurity is the practice of protecting an organization's data and business processes. It consists of technologies and processes which are designed to avert digital attacks.

Cybersecurity is more relevant and essential in today’s digital age as cyber attackers are becoming more active. The number of data breaches is rising continuously. Many organizations have highly sensitive information. For example, armed forces, government departments, medical services, etc. Cyber attackers are always on the lookout for such information and invent new methods to access this information. 

In the course of doing their business, organizations are required to transmit a lot of data that may include personal information, financial data, or even strategic plans and their misuse could have a gravely negative impact on the business of the organization. Hence, the importance of cybersecurity has become even more important.

Cognitive Systems - As we all know, cognitive means related to thinking or reasoning, so the term Cognitive System refers to any solution, software, or hardware that can replicate human intelligence such as learning and problem-solving. These systems interact with humans naturally. They are not just programmed. On the contrary, they learn from their interactions with humans and their own experiences. 

Today, organizations deal with huge volumes of business information but they don't know how to take full advantage of it. This is where Cognitive Systems come into play. They help organizations to process this data explosion in a structured manner and make effective decisions.

Data Science - Until now, the data available used to be structured and was not so voluminous. It could be easily detected and analyzed by using simple business tools. But nowadays, the data available is not only huge in volume but is also either unstructured or semi-structured. Expert studies show that currently, more than 80% of the available data is unstructured.

This is where Data Science comes in. Data Science is a field that uses a blend of scientific methods, processes, and advanced algorithms to get useful insights into all kinds of data, be it structured or unstructured. It is a high level of technical skill that enables data professionals to build complex algorithms that help in organizing and analyzing a large amount of data and provide solutions that drive the strategy of their organization. Data Science enables companies to uncover many hidden insights like trends, consumer behavior, etc., which helps them in making smarter business decisions.

Be Future Ready
Industry 4.0 is more skill-intensive rather than labor-intensive. These technologies are evolving as the most promising career paths for professionals. So, if you are planning to study Engineering, you should focus on these technologies that employers are looking for in Industry 4.0. Jain (Deemed-to-be University), Faculty of Engineering & Technology is pioneering academic hub of India providing all the new- age programs and technologies of industry 4.0 that fulfil all your quest to be future-read.

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Artificial Intelligence- When Intelligence, is not natural?

In 1955 John McCarthy announced Artificial Intelligence for the first time. The term, ‘Artificial Intelligence’ is derived from two words, artificial- a thing which is not natural, and intelligence- a capacity to understand and collect information about events, a particular group, etc.

After combining these two words into a single frame, ‘Artificial Intelligence’ means a computer programming code in a machine like a computer exhibiting traits of human beings like learning, problem-solving, scanning, storing information like memory, thinking, etc. Just like mimicking someone, a system of Artificial Intelligence does the same as human beings perceive things by performing various tasks from their environment.

The system is very quick in recognizing the impulses, and with advanced deep learning, it processes the tasks using natural language processing (NLP) technology. Being a natural branch of artificial intelligence, NLP fulfills the gap of communication between a machine and a human being through many principles and disciplines like computer science, and computational linguistics. NLL helps the machine to understand the human language by turning into their language. The technology saves valuable time and energy by performing its operation in less time than expected.NLP assists artificial intelligence to do multiple tasks like reading a text, following the instructions given in the text, checking records simultaneously, etc. In short, artificial intelligence enables the machine to learn languages to perform tasks. Now,

Difference between Artificial Intelligence and Machine Learning
Artificial Intelligence simulates and trains the machine to mimic human actions like speaking a particular dialect, recognizing colors, shapes, etc. whereas machine learning is a subset of artificial intelligence that are developed to interpret human actions. Machine learning searches for data and tries to reach to a conclusion just like us using certain algorithms. Like a car has a laser-like device on its top, giving signals for the in-between objects while parking in a parking area, and also informing about all the cars that are surrounding it. But both need large volumes of data, granular data, and extremely diversified data.

Current Scenarios
In today’s world, since its inception, Artificial Intelligence has become an integral part of every person’s life due to this, our life has become very fast.  AI has led to cut short time and multitasking at once. Artificial Intelligence repetitively learns and discovers through diversified data. Without human involvement, it clarifies high volume of data without fatigue and analyses deep data, hidden into deep layers of neural networks. It is capable of identifying and performing human tasks, deep neural networks achieve incredible accuracy by interacting with humans like a person who uses Google Search, Alexa,. Siri,  Macbook, Tablets etc.,

How does it work?
Before learning the working structure of artificial intelligence, we need to research and have deep knowledge about its basic components. Here they are:

  • Machine Learning: The machine needs algorithms, statistics, the guidance of neural networks, operation research, and physics to analyze and perform any task.
  • Computer Vision: Being an integral part of artificial intelligence, computer vision is a technique that assists to identify, process, and interpret the visual data of an image like graphs, tables, pictures in a video, etc. It is done under the light of deep learning.
  • Natural Language Processing (NPL): NPL makes sure to interact with human language and speech. It connects machines to humans for interpreting, recognizing human contexts and producing responses. Example: It is applied to a Skype translator.
  • Cognitive Computing: The component cognitive computing improves the relationship between humans and computers by making inferences from the context i.e. simulating human processes with machines like speech and image reorganization.
  • A Neural Network: It is a type of machine learning that interconnects units (like neurons) with the human brain. Before analyzing the final data, it associates the units with previously undefined data. For example, out of 1,000 photos, to recognize the final photo of a cat.
  • Deep Learning: This is the most important element of artificial intelligence. For example, a voice assistant, Siri answers the ’What is my name?’ Deep Learning implies many layers of artificial neural networks determining a single result from many inputs. 

Artificial intelligence has made our life error-free with superb advanced high-technology. From self-driving and parking vehicles, to digital assistance thanks to Artificial Intelligence in assisting our homes, offices, our objects like mobile phones, washing machines, etc. installing biometric machines in offices, has made it easy to track the attendance of employees. Google assistant, Siri, and Alexa to speech and face recognition have made our gadgets safe and secure. Even applications like Uber, RedBus, Ola use artificial intelligence that allows us to share route details along with the driver and cab information to our dear ones.
Many high-profile industries demand Artificial Intelligence for security, risk recognition, legal assistance, etc.  For example, such as health care industry need AI for X-rays and diagnosis treatment of patients. The retail sector uses AI in collecting and possessing multiple customer data online, and offline and also in online shopping and multiple payment options like COD, internet banking, debit, or credit cards. The manufacturing industry also needs AI to analyses IoT (Internet of Things), and for calculating demand and supply of the products in the market. The banking sector uses AI to identify any fraudulent activity, risk measurement, fast and smooth transactions, credit scoring, etc.

What are the future perspectives of Artificial Intelligence?
The future of Artificial Intelligence will be vast and more extensive than the present time. From deep learning, the networking system to driverless cars, it will make the world a digital place. It is influencing everyone’s life making it very simple, optimized, and fulfilling the purpose of life and understanding the mechanics behind Artificial Intelligence. Hence, humans will successfully merge with it completely to do autonomous work.

School of Engineering & Technology Jain (Deemed-to-be- University) is a pioneering school of engineering that offers wide variety of new- age courses. The institute offers both B.Tech  and M.Tech  programs in Artificial Intelligence that opens a wide gateway for job opportunities for the students even at a global platform. The course gives hands on experience and make the students ready to face the industry demands, with advance knowledge of artificial intelligence.

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Advantages of the Blockchain: Financial Sectors

It allows you to make financial transactions in a secure and reliable way. One of the main advantages of Blockchain is that it allows financial transactions between two participants safely and reliably. There are no more intermediaries involved, but the users themselves have control over their information and the entire transaction. This information is distributed in multiple nodes that are independent of each other. These register and validate it without having to know the other participants.

It is transparent and at the same time private
With this technology transaction are more reliable for two reasons: they are transparent and also private. The movements, although they cannot be modified, are integrated into the network as a whole and are public, i.e. they can be viewed without problems by each of the parties. At the same time, data from transactions between the parties are private. The information flow does not exist since the design is based on a block of chained codes.

The data are impossible to falsify
Another great advantage, which makes it even more reliable, is that once the transaction data has been recorded, it is impossible to falsify it. They are immutable, that is, they cannot be modified or deleted. This is possible because it works with different forms of data verification, so the alteration of transactions by third parties is practically impossible. Besides, the database has a history of each transaction since the technology was created.

It is an immediate process
With banks, you have to wait a while for a transaction to be completed. With Blockchain, since there are no intermediaries, the process is immediate. The computer system used for operations works 24 hours a day, every day. Since the information is transmitted and saved automatically, there is no need to wait.

Information is never lost
Because many nodes are involved in its validation, the information is secure. Even if the network were to go down, the service would never be lost and would continue to function. Why? Only one of the nodes needs to be active. This is achieved thanks to the decentralized networks, which also makes it more resistant to malicious attacks since it does not have a central point of failure.

There are no errors
Banks can make mistakes in transactions, but Blockchain cannot. The data recorded in a Blockchain is always correct because it is constantly checked by a network of people. The information that is recorded is agreed upon by all participants and therefore there are no errors.

The transaction cost is low
One of the big problems for banks and currency exchange platforms like PayPal is the high fees they charge. These are imposed and there is nothing users can do against that if they want to use the service. Blockchain users can free themselves from high commissions since the exchange of assets with this technology usually has a lower cost.

Encourages globalization
With Blockchain, globalization takes another step. With this technology, there will no longer be any borders for transactions. You can avoid the tedious paperwork and even export procedures, regardless of the currency, you will be able to trade goods and services in another country without involving so many intermediaries.

Jain (Deemed-to-be University) offers a B-Tech degree in Distributed Computing and Blockchain. With Industry-standard Infrastructure and staff, get in-depth knowledge of how Blockchain works and lead a bright future! Apply Now!

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A Birds’ Eye View into the World of Distributed Computing and Blockchain Technology

Distributed computing is one of the fundamental computing principles that drive the Blockchain technology. In the simplest terms possible, Distributed Computing is merely a network where different computers come together to form one system. The systems can be physically connected to form a local network or they can be geographically dispersed and connected online. It is an old principle that has been fine-tuned over the years to suit the requirements.

Computers within distributed networks don’t need to be in any specific format or hardware configuration. This could be laptops or mainframes, PCs or Macs.

Blockchain was invented by a person (or group of people) using the name Satoshi Nakamoto in 2008 to serve as the public transaction books. It is a type of payment trail which is curated in digital blocks.

A Blockchain can be termed as a peer-to-peer network and there are no institutions or corporations that are in charge of these Blockchain. They are maintained by a group of highly skilled engineers who are known as the Miners. Blockchain technology has changed the concept of placing our trust from one centralized organization to a distributed trust as this ensures privacy, prevention from frauds and 100% secured transactions. 

Course Benefits

  • Wiley Industry 4.0 plus Jain University certifications
  • Program in Cloud Computing from the University of Maryland, USA
  • Certificate of Readiness from Harvard Business School
  • Acquire hands-on experience of working on Blockchain technology
  • Develop the mind-set to use emerging and exponential technologies to make a difference in the world
  • Project-based learning and work on live projects on-the-job training, and internships where you can create Blockchain applications and help revolutionize the world economy
  • Placement assistance

As per LinkedIn's annual Emerging Jobs 2018 report, Blockchain Developer is one of the most coveted jobs among all occupations. Alternatively, you have the option of becoming a technopreneur. You will have an option to incubate your startup even before the end of the course at the JUiNCUBATOR (an event of Jain Deemed-to-be-University).
Some of the employment options are as follows:

  • Blockchain Developer
  • Blockchain Architect
  • Blockchain Engineer
  • Blockchain Analyst
  • Blockchain UX/UI Designer
  • Blockchain Product Manager
  • Crypto Community Manager
  • Blockchain Researcher
  • Distributed Computing - Algorithms Developer
  • Distributed computing - Technical Architect
  • Distributed computing - Data Engineer

In the End…
This course is uniquely curated so that when the students graduate in 2024, they are a step ahead of the emerging technologies and are equipped with the necessary proficiency.

Why Choose Jain (Deemed-to-be University)
B. Tech program in “Computer Science and Engineering (Distributed Computing and Blockchain)” will enable an individual to be ready for Industry 4.0 emerging and exponential technologies. This course is industry-integrated with Wiley Industry 4.0 certifications in Blockchain and will be delivered using project-based learning leading to internships and career opportunities with startups and MNC’s in India and abroad.

As per LinkedIn's annual Emerging Jobs 2018 report, Blockchain Developer is the top emerging job among all occupations. So, with a degree from Jain (Deemed-to-be University) School of Engineering and Technology, a student stands to gain the unique advantage of being positioned to keep pace with the emerging skill-sets and be industry-ready.

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Blockchain Applications: In The Finance sector

The financial sector and the world of crypto-currencies are not the only ones who can benefit from Blockchain technology. Many sectors are seeing the potential that this technology has, which added to others, can be very useful.

In fact, according to a study conducted by IBM's Institute for Business Value in 2017, by that time 33% of companies were already using Blockchain or were planning to use it soon. In addition, 78 percent of respondents said they were exploring its use to develop new business models or in response to changes in their industry.

With regard to the financial sector, the World Economic Forum has stated that “In the coming years, we will witness the Blockchain revolution, as it will eventually become the "heart" of the global financial system”.

Banks are already using this technology to speed up payments, transfers, and remittances, and to lower the costs associated with these processes. Stock markets such as Nasdaq also use it.
But as we have said, Blockchain's applications are not limited to the financial system. These are the areas in which this technology is also being used.

Distributed cloud storage
Blockchain allows distributing data storage. That is, instead of depending on services such as Google Drive or Dropbox, which are centralized cloud storage, files can be saved in a P2P (peer-to-peer) network, which means that they will be saved by several users.

In this way, since the information is not stored in the same space, it is more difficult, if not impossible, for it to be attacked by hackers or to be lost due to technical problems or natural disasters, for example. An identical copy of the data will be stored in each node of the network, which makes the system more secure.

Decentralizing the Internet of Things (IoT)
Most Internet platforms of things are based on centralized models, meaning that a single company controls the connected devices. However, this system is not very functional, since as the popularity of this technology increases, it becomes more necessary for the teams to be able to exchange data with each other quickly and autonomously.

The solution is in the development of decentralized IoT platforms and Blockchain allows it. With the Blockchain the data exchange is done in a safe and reliable way and in addition, an unalterable record is created of all the messages that have been exchanged by the different connected intelligent devices.

Some companies are already opting for this solution, such as IBM, which has created the ADEPT (Autonomous Decentralized Peer to Peer Telemetry) platform in collaboration with Samsung. Using the Blockchain technology, this system is capable of generating a distributed device network.

Identity Management
Another great application of Blockchain is in identity management. With this technology, users can create their own digital identity, which is secure and reliable because it is tamper-proof. Experts assure that this kind of ID based on Blockchain could replace the increasingly vulnerable user names and passwords online in the near future.

People will be able to use their Blockchain identity for many things, from simple actions such as accessing websites and applications to signing digital documents. In fact, there are already companies that have such services such as Keybase, Onename or ShoCard.

Registration and Data Verification
Not only can this technology be used to store financial transactions securely and immutably. It can also be used to store any other type of information, thus generating an incorruptible distributed record, which also stands out for being more secure than traditional databases.

This application can be used in several sectors. In clinics and hospitals, for example, it can be used to create a record with the medical history of patients. It can also be useful for the protection of intellectual property and creative digital products such as e-books, music, photos, etc. It can also be used for the registration of vehicles or property.

Jain (Deemed-to-be University) offers a B-Tech degree in Distributed Computing and Blockchain. With Industry-standard Infrastructure and staff, Get in-depth knowledge of how Blockchain works and lead a bright future! Apply Now!