‘Hola’ to the world of Cybersecurity:
With the ever-demanding innovation of the new age technology, cybersecurity has become the most utilitarian software weapon. Cybersecurity, a human-engineered weapon, is designed to battle against the giant treacherous cyber threats that are unsealing the extremely private-cum-non-shareable information, hampering our privacy.
When the contemporary world is way too much dependent on the digital floor to execute most of its operations, securing online activities should be the foremost responsibility. No doubt, for a very long-time, tons of antivirus software and firewalls have helped us secure our devices, networks, programs, etc. As we see the current scenario, we hope for a grand evolution of digitization future, requiring even stiffer security.
A shield to our very own privacy:
When technology expands, bringing a lot more inventions, it comes up with certain opportunities and obstacles. We see many awful cyber threats that cybersecurity could prevent, making online activities hassle-free and secured. When everything is running digital across the globe, sharing sensitive information like log-in passwords, card details, identity proofs, etc. could be extremely risky. When all of our information is stored in a single cloud, we barely can afford any data leakage. Right? Cyber threats are putting our systems more into jeopardy with unexpected attacks by targeting devices, browsers, and sensitive content; cybersecurity has proved itself as a stroke of luck in the world of technologies.
Research says that there has been a very noticeable rise in cyber threats from 2020 to 2021, as we have moved more towards the digital zones with the topical pandemic situation. Undoubtedly, this limitless exposure to the technology world is certainly inviting loads of cybercrimes, which is tough to ignore. With these illegal online hackings, many businesses are falling apart, individualities being held at risk, even it is provoking some controversial social topics in an ugly manner. Hence, with the effective use of cybersecurity, we can surely protect our privacy from online attackers 24/7.
Are you an online freak? Must go ahead:
Along with tons of blissful benefits, the digital world has bestowed us with varieties of cons like cyber threats, and below are some described briefly:
Ever noticed some suspicious notifications or messages or links or emails popping up on your device and redirecting to some unseen software installation process on clicking? It could be spyware or malware that supposedly can make the data in your hard drive vulnerable or can damage the device, or corrupt the network.
It’s tough to admit, but sometimes a few processes seem so genuine that even being aware of many technology facts, we tend to fall prey of pre-scripted fake communication via emails or messages. The attacker tries to trick the victim into following the instruction and sharing sensitive information like bank details or credit card number or log-in credential. The attacker's main intention could be to financially extort the victim or trespass illegally to the victim’s device.
We all have distinctive passwords to access our social media profiles, devices, software, and many more. With social engineering, it has been easier to breach sensitive private data through password attacks. A report says that there has been comparatively higher password hacking cyber threats because of excessive human interactions violating security guidelines. Without the consent of the user, the attacker easily gets into the user’s confidential data.
Coming into buzz from 2014, Emotet Trojan is the virus affecting banking and financial sectors mainly, infecting the systems and unlocking sensitive data that could cost a lot to the victim. The Trojan virus's mission is to trick the antivirus installed in your computer and spy on all of your activities stealthily.
SQL injection attack:
This is the way where victims get tricked with vulnerable databases, infecting the web security. In SQL injection, a website can get infected, and any information browsed or shared, or submitted over that browser can be easily accessed by the attacker.
Man in the middle (MITM) attack:
The name ‘Man in the middle’ describes quite a lot about the type of cyber threat, where the attacker perpetrates illegal activities exactly when the user is ready to connect to a web application. For example, two people have a secret transaction; when a third person gets into the deal illegally with an awful intention of taking advantage, then it becomes a MITM attack.
Denial of Service (DoS) attack:
There are many services like some high-profile companies, banks, finance industries, where we need an uninterrupted smooth website running all the time. Denial-of-Service (DoS) attacks to slow down those websites with sudden traffic flow creating buffers and sometimes result in unexpected website crashes. Though these attacks' main motto might not be online money laundering or scamming, such uninvited interruptions could cost the victim a lot of time and money.
The next level of automation is so ‘on fire!’
When the whole world is widening up with the evolution of Artificial Intelligence and Machine Learning (AI/ML), Deep Learning is an essential part of ML that can imitate human brains using certain statistics and algorithms. Yes, this element of AI can amazingly detect objects, recognize speech, translate languages, and make necessary decisions. When human brains are not engineered to solve a large stock of unresolved data, this invention of humans is making those undone jobs pretty much easy! Not only this but proven research states that Deep Learning assists a lot in securing sensitive data helping cybersecurity in a very potential manner.
Proportionate coordination of two heroic technologies:
When the new age technologies have contributed a lot to humanity by making our lives easier and more automated, here we will see a few Deep Learning techniques used in strengthening cybersecurity measures in organizations:
Intrusion Detection and Prevention Systems (IDS/IPS):
This is one of the applications of Deep Learning, where the systems are responsible to create a secured network for the users. With Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) in Deep Learning, the user gets alerts about unwanted access to the system and the internal security team gets activated filtering out the right and wrong activities in the network.
Battling Malware Cyberthreats:
Gone were the days when firewalls were supposed to understand the pattern with signature-based ID systems to deal with malware. Earlier, companies used to make a list of probable threats observed recently and circulate it among all. But with topical Deep Learning algorithms in action, the system is now ready to filter out the probable malicious activities easily and is not bound to memorize the pattern.
Detection of Social Engineering and Spams:
Natural Language Processing (NLP) is one part of Deep Learning which can decode malicious languages and can manage spam and social engineering cyber-attacks with utmost accuracy.
Analysis of Network Traffic:
With Deep Learning Artificial Neural Networks (ANNs), we can easily trace out malware activities in HTTPS networks and deal with SQL injections and DDoS attacks.
Tracking through User Behavior Analytics:
User and Entity Behavior Analytics (UEBA) of deep Learning is supposed to analyze a regular user's behavior to understand its day-to-day activities and detect if anything suspicious occurs. This tool helps to cleanse the system from insider threats which are sometimes tough to detect.
Now that you got an overall idea of Cybersecurity, Deep Learning, and the result of the combination of the two, it is time to practice and explore more on this. With this, we hope to get a peaceful world as we advance with no unresolvable cyber threats.