Ponnurangam kumaraguru thesis

To achieve this goal, we focus on "phishing," a type of semantic attack. Most of the users registered on these portals have genuine intention of finding their desired life partner, however due to various factors it attracts few people with no genuine intention for the same.

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Embedded training is a methodology in which training materials are integrated into the primary tasks users perform in their day-to-day lives. Currently, the Internet community is facing three types of security attacks: physical, syntactic, and semantic. Published on Jul 1, In a diverse country like India, socio-economic factors like religion, caste, language, income along with other common physical, professional based factors, play a vital role while searching for spouse.

We then treat this problem as a reconstruction task using autoencoder which is trained on a set of genuine profiles features.

We have developed a system called "PhishGuru" based on embedded training methodology and learning science principles.

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The goal of this thesis is to show that computer users trained with an embedded training system — one grounded in the principles of learning science — are able to make more accurate online trust decisions than users who read traditional security training materials, which are distributed via email or posted online.

We evaluated the embedded training methodology through laboratory and field studies.

Embedded training is a methodology in which training materials are integrated into the primary tasks users perform in their day-to-day lives. We then treat this problem as a reconstruction task using autoencoder which is trained on a set of genuine profiles features. The proposed system produces Published on Jul 1, In a diverse country like India, socio-economic factors like religion, caste, language, income along with other common physical, professional based factors, play a vital role while searching for spouse. There are three major approaches to countering semantic attacks: silently eliminating the attacks, warning users about the attacks, and training users not to fall for the attacks. To achieve this goal, we focus on "phishing," a type of semantic attack. In contrast to existing training methodologies, the PhishGuru shows training materials to users through emails at the moment "teachable moment" users actually fall for phishing attacks. In this thesis, we use autoencoder which is widely used for anomaly detection. We evaluated the embedded training methodology through laboratory and field studies. The goal of this thesis is to show that computer users trained with an embedded training system — one grounded in the principles of learning science — are able to make more accurate online trust decisions than users who read traditional security training materials, which are distributed via email or posted online.

PhishGuru training does not decrease users' willingness to click on links in legitimate messages. There are three major approaches to countering semantic attacks: silently eliminating the attacks, warning users about the attacks, and training users not to fall for the attacks.

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While prediction, the autoencoder shows small reconstruction error for genuine profiles and a very high reconstruction error for the fake users and detect them. These people lead to bad user experience as well as revenue loss for the online matrimony business.

Embedded training is a methodology in which training materials are integrated into the primary tasks users perform in their day-to-day lives. PhishGuru training does not decrease users' willingness to click on links in legitimate messages. These people lead to bad user experience as well as revenue loss for the online matrimony business. Published on Jul 1, In a diverse country like India, socio-economic factors like religion, caste, language, income along with other common physical, professional based factors, play a vital role while searching for spouse. The existing methods for silently eliminating the attack and warning users about the attack are unlikely to perform flawlessly; furthermore, users are the weakest link in these attacks, it is essential that user training complement other methods. Most existing online training methodologies are less successful because: 1 organizations that create and host training materials expect users to proactively seek out such material themselves; 2 these organizations expect users to have some knowledge about semantic attacks; and 3 the training materials have not been designed with learning science principles in mind. To achieve this goal, we focus on "phishing," a type of semantic attack. In this thesis we present an approach to identify such users suing machine learning techniques. Real-world experiments showed that people trained with PhishGuru retain knowledge even after 28 days. The design principles established in this thesis will help researchers develop systems that can train users in other risky online situations. With surge of Internet connectivity, online matrimonial websites have become hugely popular to cater such needs. In contrast to existing training methodologies, the PhishGuru shows training materials to users through emails at the moment "teachable moment" users actually fall for phishing attacks. Most of the users registered on these portals have genuine intention of finding their desired life partner, however due to various factors it attracts few people with no genuine intention for the same.

The design principles established in this thesis will help researchers develop systems that can train users in other risky online situations. Real-world experiments showed that people trained with PhishGuru retain knowledge even after 28 days.

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