scholarly journals Privacy and Security Issues In Mobile Social Networking and in Modern Shopping Experience

2013 ◽  
Vol 5 (1) ◽  
pp. 69-73 ◽  
Author(s):  
Sanjeev Kulkarni ◽  
Kirna Kumari ◽  
Naheeda Kittur
Keyword(s):  
Social Networking ◽  
User Profile ◽  
Privacy And Security ◽  
Profile Information ◽  
Security Issues ◽  
Mobile Social Networking ◽  
Shopping Experience ◽  
Online Shops

Future shopping applications collect basic profile information of the person and provide great service on recommending books, electronics and other products based on user profile, previous shopping history and relationships between the items categories derived from purchases of all the users on the site. E.g. if someone is looking at action movies it can recommend similar category or a category that the shopper is likely to be associated with. The mining of user's profile greatly enhances a person's shopping experience on modern online shops. The main purpose of this paper is solving the privacy and security issues.

scholarly journals Opportunistic mobile social networks: architecture, privacy, security issues and future directions

2019 ◽  
Vol 9 (2) ◽  
pp. 1145
Author(s):  
Vimitha R. Vidhya Lakshmi ◽  
Gireesh Kumar T.
Keyword(s):  
Social Networks ◽  
Social Networking ◽  
Future Research ◽  
Mobile Social Networks ◽  
Privacy And Security ◽  
Research Directions ◽  
Security Issues ◽  
Mobile Social Networking ◽  
Future Research Directions ◽  
Opportunistic Mobile Social Networks

Mobile Social Networks and its related applications have made a very great impact in the society. Many new technologies related to mobile social networking are booming rapidly now-a-days and yet to boom. One such upcoming technology is Opportunistic Mobile Social Networking. This technology allows mobile users to communicate and exchange data with each other without the use of Internet. This paper is about Opportunistic Mobile Social Networks, its architecture, issues and some future research directions. The architecture and issues of Opportunistic Mobile Social Networks are compared with that of traditional Mobile Social Networks. The main contribution of this paper is regarding privacy and security issues in Opportunistic Mobile Social Networks. Finally, some future research directions in Opportunistic Mobile Social Networks have been elaborated regarding the data's privacy and security.

scholarly journals A survey on : Online Social Networking Attacks Detection Techniques

2021 ◽  
pp. 44-50
Author(s):  
Ankita Sharma
Keyword(s):  
Social Media ◽  
Social Networking ◽  
Web Applications ◽  
Privacy And Security ◽  
Research Issues ◽  
Social Media Platform ◽  
Detection Techniques ◽  
Security Issues ◽  
The Social ◽  
Media Platform

Today's due the popularity of internet number of users are increase on every social media platform. In recent research found that 80% of youth depend on social media to make new friends , share photos. Through this they get popularity and large number of user base and become influencers . Most of the social media platform are providing different privacy and security . Still attacker find out the way to breech the security, privacy and confidently of users and companies or organizations using several techniques . This paper highlight the major security issues phasing by many social networking web applications. Also identify the solution based on attacks in different literature . At last, we discuss open research issues

Mobile Commerce Technologies and Management

2017 ◽  
pp. 197-218
Author(s):  
Kijpokin Kasemsap
Keyword(s):  
Technology Acceptance ◽  
Mobile Commerce ◽  
Wireless Internet ◽  
Business Growth ◽  
Privacy And Security ◽  
Point Of Sale ◽  
Security Issues ◽  
Computer Mediated ◽  
Shopping Experience ◽  
Acceptance Model

This chapter reveals the prospect of mobile commerce (m-commerce); m-commerce and trust; m-commerce, privacy, and security issues; m-commerce adoption and technology acceptance model (TAM); and the significant perspectives on m-commerce. M-commerce is used for business transactions conducted by mobile phones for the promotional and financial activities using the wireless Internet connectivity. M-commerce is the important way to purchase the online items through online services. The main goal of m-commerce is to ensure that customers' shopping experience is well-suited to the smaller screen sizes that they can see on smartphones and tablets. Computer-mediated networks enable these transaction processes through electronic store searches and electronic point-of-sale capabilities. M-commerce brings the new possibility for businesses to sell and promote their products and services toward gaining improved productivity and business growth.

Mobile Commerce Technologies and Management

2021 ◽  
pp. 767-788
Author(s):  
Kijpokin Kasemsap
Keyword(s):  
Technology Acceptance ◽  
Mobile Commerce ◽  
Wireless Internet ◽  
Business Growth ◽  
Privacy And Security ◽  
Point Of Sale ◽  
Security Issues ◽  
Computer Mediated ◽  
Shopping Experience ◽  
Acceptance Model

This chapter reveals the prospect of mobile commerce (m-commerce); m-commerce and trust; m-commerce, privacy, and security issues; m-commerce adoption and technology acceptance model (TAM); and the significant perspectives on m-commerce. M-commerce is used for business transactions conducted by mobile phones for the promotional and financial activities using the wireless Internet connectivity. M-commerce is the important way to purchase the online items through online services. The main goal of m-commerce is to ensure that customers' shopping experience is well-suited to the smaller screen sizes that they can see on smartphones and tablets. Computer-mediated networks enable these transaction processes through electronic store searches and electronic point-of-sale capabilities. M-commerce brings the new possibility for businesses to sell and promote their products and services toward gaining improved productivity and business growth.

scholarly journals A Survey of Privacy and Security Issues in Social Networks

2014 ◽  
Author(s):  
Constantin SPÂNU
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Network Security ◽  
Social Networking ◽  
Online Social Networks ◽  
Social Networking Sites ◽  
Identity Theft ◽  
Privacy And Security ◽  
Security Issues ◽  
Privacy Issues

Social networking sites such as Facebook and Twitter have gained more popularity in recent years. Because of its large user base, and large amount of information, they become a potential channel for attackers to exploit. Many social networking sites try to prevent those exploitations, but many attackers are still able to overcome those security countermeasures by using different techniques. Social network users may not be aware of such threats. Therefore, this paper will present a survey on different privacy and security issues in online social networks. The issues include privacy issues, identity theft, social networks spam, social networks malware, and physical threats. Social network privacy issues, social network security issues, social network threats, identity Theft, social network spam, social network malware, Facebook worms, Twitter Worms.

scholarly journals A Method Based on NLP for Twitter Spam Detection

2020 ◽  
Author(s):  
Ratul Chowdhury ◽  
Kumar Gourav Das ◽  
Banani Saha ◽  
Samir Kumar Bandyopadhyay
Keyword(s):  
Machine Learning ◽  
Social Networking ◽  
Language Processing ◽  
User Profile ◽  
Parameter Tuning ◽  
Spam Detection ◽  
Profile Information ◽  
Machine Learning Model ◽  
Wide Range ◽  
Primary Focus

Social networking applications such as Twitter have increasingly gained significance in terms of socio-economic, political, and religious as well as entertainment sectors. This in turn, has witnessed a wide gamut of information explosion in the social networking realm that can tend to be both useful as well as misleading at the same point of time. Spam detection is one such solution that caters to this problem through identification of irrelevant users and their data. However, existing research has so far laid primary focus on user profile information through activity detection and relevant techniques that may underperform when these profiles exhibit characteristics of temporal dependency, poor reflection of generated content from the user profile, etc. This is the primary motivation for this paper that addresses the aforementioned problem of user profiles by focusing on both profile information and content-based spam detection. To this end, this work delivers three significant contributions. Firstly, exhaustive use of Natural language processing (NLP) techniques has been rendered towards creation of a new comprehensive dataset with a wide range of content-based features. Secondly, this dataset has been fed into a customized state-of-art hybrid machine learning model that has been exclusively built using a combination of both machine learning and deep learning techniques. Extensive simulation based analysis not only records over 98% accuracy but also establishes the practical applicability of this proposal by proving that modeling based on the mixed profile and content-generated data is more capable of spam detection in contrast to each of these standalone approaches. Finally, a novel methodology based on logistic regression is proposed and supported by analytical formulations. This paves the way for the custom-built dataset to be analyzed and corresponding probabilities to be obtained that differentiate legitimate users from spammers. The obtained mathematical outcome can henceforth be used for future prediction of user categories through appropriate parameter tuning for any given dataset. This makes our method a truly generic one capable of identifying and classifying different user categories.

Mobile Commerce Technologies and Management

2021 ◽  
pp. 802-823
Author(s):  
Kijpokin Kasemsap
Keyword(s):  
Technology Acceptance ◽  
Mobile Commerce ◽  
Wireless Internet ◽  
Business Growth ◽  
Privacy And Security ◽  
Point Of Sale ◽  
Security Issues ◽  
Computer Mediated ◽  
Shopping Experience ◽  
Acceptance Model

This chapter reveals the prospect of mobile commerce (m-commerce); m-commerce and trust; m-commerce, privacy, and security issues; m-commerce adoption and technology acceptance model (TAM); and the significant perspectives on m-commerce. M-commerce is used for business transactions conducted by mobile phones for the promotional and financial activities using the wireless Internet connectivity. M-commerce is the important way to purchase the online items through online services. The main goal of m-commerce is to ensure that customers' shopping experience is well-suited to the smaller screen sizes that they can see on smartphones and tablets. Computer-mediated networks enable these transaction processes through electronic store searches and electronic point-of-sale capabilities. M-commerce brings the new possibility for businesses to sell and promote their products and services toward gaining improved productivity and business growth.

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