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Effective Defense Schemes for Phishing Attacks on Mobile Computing Platforms.

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Title: Effective Defense Schemes for Phishing Attacks on Mobile Computing Platforms.
Authors: Wu, Longfei1, Du, Xiaojiang1, Wu, Jie1
Source: IEEE Transactions on Vehicular Technology. Aug2016, Vol. 65 Issue 8, p6678-6691. 14p.
Subjects: Phishing prevention, Mobile computing software, Cell phones, Cell phone users, Personal computers
Abstract: Recent years have witnessed the increasing threat of phishing attacks on mobile computing platforms. In fact, mobile phishing is particularly dangerous due to the hardware limitations of mobile devices and the habits of mobile users. In this paper, we did a comprehensive study on the security vulnerabilities caused by mobile phishing attacks, including web page phishing attacks, application phishing attacks, and account registry phishing attacks. Existing schemes designed for web phishing attacks on personal computers (PCs) cannot effectively address the various phishing attacks on mobile devices. Hence, we propose MobiFish, which is a novel automated lightweight antiphishing scheme for mobile platforms. MobiFish verifies the validity of web pages, applications, and persistent accounts by comparing the actual identity to the claimed identity. MobiFish has been implemented on a Nexus 4 smartphone running the Android 4.2 operating system. We experimentally evaluate the performance of MobiFish with 100 phishing URLs and corresponding legitimate URLs, as well as phishing apps. The results show that MobiFish is very effective in detecting phishing attacks on mobile phones. [ABSTRACT FROM AUTHOR]
Copyright of IEEE Transactions on Vehicular Technology is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: Effective Defense Schemes for Phishing Attacks on Mobile Computing Platforms.
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  Data: <searchLink fieldCode="DE" term="%22Phishing+prevention%22">Phishing prevention</searchLink><br /><searchLink fieldCode="DE" term="%22Mobile+computing+software%22">Mobile computing software</searchLink><br /><searchLink fieldCode="DE" term="%22Cell+phones%22">Cell phones</searchLink><br /><searchLink fieldCode="DE" term="%22Cell+phone+users%22">Cell phone users</searchLink><br /><searchLink fieldCode="DE" term="%22Personal+computers%22">Personal computers</searchLink>
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  Data: Recent years have witnessed the increasing threat of phishing attacks on mobile computing platforms. In fact, mobile phishing is particularly dangerous due to the hardware limitations of mobile devices and the habits of mobile users. In this paper, we did a comprehensive study on the security vulnerabilities caused by mobile phishing attacks, including web page phishing attacks, application phishing attacks, and account registry phishing attacks. Existing schemes designed for web phishing attacks on personal computers (PCs) cannot effectively address the various phishing attacks on mobile devices. Hence, we propose MobiFish, which is a novel automated lightweight antiphishing scheme for mobile platforms. MobiFish verifies the validity of web pages, applications, and persistent accounts by comparing the actual identity to the claimed identity. MobiFish has been implemented on a Nexus 4 smartphone running the Android 4.2 operating system. We experimentally evaluate the performance of MobiFish with 100 phishing URLs and corresponding legitimate URLs, as well as phishing apps. The results show that MobiFish is very effective in detecting phishing attacks on mobile phones. [ABSTRACT FROM AUTHOR]
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  Label:
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  Data: <i>Copyright of IEEE Transactions on Vehicular Technology is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – SubjectFull: Phishing prevention
        Type: general
      – SubjectFull: Mobile computing software
        Type: general
      – SubjectFull: Cell phones
        Type: general
      – SubjectFull: Cell phone users
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      – SubjectFull: Personal computers
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              Text: Aug2016
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