Detection and Prevention of Phishing Attack Using Dynamic Watermarking

Singh, Akhilendra Pratap; Kumar, Vimal; Sengar, Sandeep Singh; Wairiya, Manoj

doi:10.1007/978-3-642-20573-6_21

Cited by 22 publications

(13 citation statements)

References 9 publications

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“…Our proposed approach is not dependent on HTTPS protocol and can be used for the websites with both HTTP and HTTPS protocols. Search engines independency: Some previously proposed anti‐phishing methods such as in other works are based on using search engine results. If the attacked website is a newborn website, it usually takes some time for the search engines to add it in their search results, and sometimes, if the web developers do not perform SEO techniques properly, the phishers can develop their fraudulent website with higher ranking results.But our proposed method is independent of search engines and does not consider the rank of the websites in the search engine results. No reliance on user interaction: In some previously proposed anti‐phishing methods such as other works, the users are involved in the anti‐phishing process. Assigning a part of the anti‐phishing process to users can cause detection errors and it is possible for the users to be fooled by the phishers.…”

Section: Analysis Of the Proposed Methodsmentioning

confidence: 99%

“…* Other approaches involve users in the anti-phishing process or make them uncomfortable. [25][26][27] Some other methods are dependent to search engines and it is not efficient. 9,10,13,14 On the other hand, relying on online resources, eg, search engines, and context analysis for detecting phishing consumes high amount of network and computation power, respectively.…”

Section: Motivationmentioning

confidence: 99%

“…In some previously proposed anti-phishing methods such as other works, [25][26][27] the users are involved in the anti-phishing process. Assigning a part of the anti-phishing process to users can cause detection errors and it is possible for the users to be fooled by the phishers.…”

Section: • No Reliance On User Interactionmentioning

confidence: 99%

“…Some of the previously proposed anti‐phishing techniques can not fully protect users from phishers and they can not detect all phishing websites. Other approaches involve users in the anti‐phishing process or make them uncomfortable . Some other methods are dependent to search engines and it is not efficient .…”

Section: Introductionmentioning

confidence: 99%

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Preventing phishing attacks using text and image watermarking

Hajiali

Amirmazlaghani

Kordestani

2018

Concurrency and Computation

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Summary Phishing is a form of identity theft used to illegally gather personal and financial information by providing fake web pages designed to mimic the website of a legitimate business. In this paper, we propose a novel anti‐phishing approach based on using imperceptible watermarking and monitoring the HTTP requests. In the server‐side, a URL dependent watermark is generated and embedded in the elements of the web page, which are logo image and HTML/CSS files. In the client side, to authenticate the website and check its safety, the watermark is regenerated and compared with the extracted watermarks from the elements of the webpage. Security analysis of the proposed method demonstrates its robustness against some common attacks. The proposed method performs fully automatically and without user interaction. It can be simply implemented and used for all kinds of websites, either secured or not secured with SSL protocol.

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Section: Analysis Of the Proposed Methodsmentioning

confidence: 99%

Section: Motivationmentioning

confidence: 99%

Section: • No Reliance On User Interactionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Preventing phishing attacks using text and image watermarking

Hajiali

Amirmazlaghani

Kordestani

2018

Concurrency and Computation

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“…This reduces the probability of a user being deceived by an attacker's phishing website. Phishing prevention techniques can be further classified as watermarking based [25], RFID based [26], external authentication devices based [27], picture password based [28], dynamic security skin based [18,29], smart card based [30], and QR Code based techniques [31], and so on. [12].…”

Section: Phishing Prevention Schemesmentioning

confidence: 99%

A survey and classification of web phishing detection schemes

Varshney

Misra

Atrey

2016

Security Comm Networks

113

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Phishing is a fraudulent technique that is used over the Internet to deceive users with the goal of extracting their personal information such as username, passwords, credit card, and bank account information. The key to phishing is deception. Phishing uses email spoofing as its initial medium for deceptive communication followed by spoofed websites to obtain the needed information from the victims. Phishing was discovered in 1996, and today, it is one of the most severe cybercrimes faced by the Internet users. Researchers are working on the prevention, detection, and education of phishing attacks, but to date, there is no complete and accurate solution for thwarting them. This paper studies, analyzes, and classifies the most significant and novel strategies proposed in the area of phished website detection, and outlines their advantages and drawbacks. Furthermore, a detailed analysis of the latest schemes proposed by researchers in various subcategories is provided. The paper identifies advantages, drawbacks, and research gaps in the area of phishing website detection that can be worked upon in future research and developments. The analysis given in this paper will help academia and industries to identify the best anti-phishing technique.

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Phishing Attack Victims and the Effect on Work Engagement

Werner

Njenga

2023

Communications in Computer and Information Science

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Detection and Prevention of Phishing Attack Using Dynamic Watermarking

Cited by 22 publications

References 9 publications

Preventing phishing attacks using text and image watermarking

Preventing phishing attacks using text and image watermarking

A survey and classification of web phishing detection schemes

Phishing Attack Victims and the Effect on Work Engagement

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