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Showing posts with the label phishing

E-Mail Phishing: All one must know

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One of the most widely used technique to perform scam and identity theft is Phishing. Image Source:  idagent.com Phishing is an attack against the end user which focuses on collecting user's personal data or in technical terms Personally Identifiable Information (PII) by tricking a user into providing details or clicking a link to a website, which is definitely a fraudulent website. The very common methods to attempt phishing: 1. The user has won the lottery, or getting some discount offers, so the sender ask for the personal information to transfer amount and will ask user to deposit the little bit sum of money to get the amount. Once the user pays or provides the information, the scam is done. Fig. Source: https://www.pandasecurity.com/mediacenter/panda-security/social-media-scams/ 2. Attacker claiming himself/herself to be an organization's employee like a bank employee or employee of any well-known company and send the request to user to click on link which redi...

Ransomware- A RANSOM GAME

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Image Source: Forbes

Amalgamation of Data Science and Cyber Security

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 “ 32% of confirmed data breaches  and 86% of email attacks include phishing attacks and $24.26 billion were lost in 2018 due to card payment fraud. ” Image Source:  https://www.google.com/amp/s/www.digitalnest.in/blog/how-data-science-plays-an-important-role-in-addressing-cyber-security-risks/amp/ Before starting with anything, let's first talk about WHAT IS DATA SCIENCE? Data Science is the interdisciplinary field that deals with the programming, domain expertise, algorithm, scientific methods and systems to extract significant evidence and insights from either structured or unstructured data. The term interdisciplinary is used because it is the confluence of mathematics and statistics, computer science and business knowledge. Image Source: https://www.techiexpert.com/difference-data-science-machine-learning/ Data is something that cannot be confined in limits, it has a vast category- images, text, videos, voice, speech, and many more.- all are data and are divided as s...