Phishing Security
2. Background
2.1 An Introduction to Phishing
One of the emerging serious threats against personal data security is phishing. Phishing attacks are often performed by sending out emails that seem to originate from a trusted party. The objective is to deceive the recipient to release sensitive information such as usernames, passwords, banking details, or credentials [15].
Phishing is the term used to describe massive e-mails that trick recipients into revealing their personal or company confidential information, such as social security and financial account numbers, account passwords and other identity or security information. These e-mails request the user’s personal information as a client of a legitimate entity with a link to a website that
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Similar to the problems with email applications, web browsers also offer extended functionality that may be abused (often to a higher degree than email clients). For most users, their web browser is probably the most technically sophisticated application they use.
The most popular web browsers offer such a fantastic array of functionality – catering to all users in all environments – that they unintentionally provide gaping security flaws that expose the integrity of the host system to attack (it is almost a weekly occurrence that a new vulnerability is discovered that may be exploited remotely through a popular web browser). Much of the sophistication is devoted to being a “jack of all trades”, and no single user can be expected to require the use of all this functionality.
Customers and businesses must make a move to use a web browser that is appropriate for the task at hand. In particular, if the purpose of the web browser is to only browse Internet web services, a sophisticated web browser is not
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Country wise classification of phishing mails for hard phishing emails
1 1 9 2
16
7
1
AU
CA
DE
ES
GB
IE
IN
US
200
2.1 experiment with easy phishing dataset with 70:30 training data and testing data easy phishing dataset contains 2551 phishing email we divide it into 70:30 ratio for our training dataset and testing dataset to do the experiment.
Below given is the list of locations from where most of the phishing emails are generating
300
250 251 200
150
100 52 57
50 46 39 34 31 34 31 32 28 20 19 24 22 21 22 18 16 15 16
12 11 14 13 11
0
Distribution of Phishing mails from same Geo
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