International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 04 Issue: 07 | July -2017
p-ISSN: 2395-0072
www.irjet.net
ONLINE FRAUD DETECTION- A REVIEW Mini Singh Ahuja1, Lovepreet Singh2 1Assistant
Professor, Dept. Of Computer Science & Engineering, GNDU RC Gurdaspur, Punjab, India Mtech (CSE), Dept. Of Computer Science & Engineering, GNDU RC Gurdaspur, Punjab, India -----------------------------------------------------------------------------***-----------------------------------------------------------------------------2Student
Abstract - Lack of time with community is indulging multiple users to participate in online social media for communication. Users can interact with each other through this peace of technology. Ecommerce websites also become popular since users does not have to visit actual stores. As user’s increases, so do frauds. Detection of frauds is the prime objective of this literature. In order to accomplish this KNN and Euclidean distance mechanism is hybridized. Comparative analysis is present against KNN, Euclidean distance and hybrid approach. Results are expressed in terms of time consumption and number of fault detected. Key Words: Trust, Online Deception, Types of Deceptions, Techniques to Find Deception. 1. INTRODUCTION 1.1 THE CONCEPT OF TRUST
Figure 1 Shows Trust Building Factors
Trust is a difficult concept to understand since it is defined in legion of ways. There are reams of areas in which trust is required. In every area trust is defined conflictingly. There are various views associated with the trust. Certain elements appear to be common across many views. Modern societies will not be possible beyond trust. To build trust most researchers agree that experience is critical and information about past behavior, goals and reputation are required. Additionally, trust is commonly viewed as a dynamic process which must be building over time and is dependent on situational context. Some sociologists also believe that trust cannot exist in the absence of risk. For psychological perspective, trust research tends to focus on individual personality difference and development throughout life or interpersonal relationships. As with the sociological view, the body of trust research in psychological is fragmented and varied across situations and is multidimensional.
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As with other disciplines, business related literature presents several views and definitions of trust. Trust may be defined as the willingness to depend on the exchanging partner in whom one has confidence. In the proposed paper we adopt this definition to create a model of trust. Trust in business to consumer (B2C) is established very differently than in business to business (B2B) e-commerce environment. In this context, the distinguishment is made between the hard and soft trust. Hard trust is associated with the issues of security and soft trust is associated with the privacy and quality of the service dimension. Issues associated with the soft trust cannot be easily resolved. The personal information which is gathered about the consumer is required to be secured. The trust of the consumer on vendor will be established if the information gather about the consumer is not shared among the unauthorized channels. Consumer need to trust that their Personal information will not be abused by the vendor or even sold to the highest direct marketing bidders. Concerns about the information practices will lead to consumers guarding their personal information or falsifying information, which deprives the online vendor of valuable information that could be used to tailor their services to individual customers. Trusting the quality of an online vendor’s service may also be a challenge for
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