Abstract
People are using the internet for all their day-to-day activities like shopping, banking, mailing, etc. The term censored is a kind of spoofing website which is used to steal important information. Therefore, there is a need for an efficient prevention mechanism to find out the censored web page among the legitimate web pages. This paper proposes a study on identifying censored websites by developing an effective algorithm with domain features of URL. Detecting proxies by URL is done by implementing domain pattern matching. We found that the detector accuracy and speed, reflecting in response efficacy as perceived by users, censored websites as a great source of phishing and malicious activities that users have no knowledge about. Data from government-issued is used to detect censored sites. Security of browsers is the concern with users having low-level security settings.
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