%0 Journal Article %1 noauthororeditor %D 2023 %E Bakpo1, Francis S. %J The International Journal of Ambient Systems and applications(IJASA) %K myown networks %N 4 %P 10 %T A CONCEPTUAL FRAMEWORK OF A DETECTIVE MODEL FOR SOCIAL BOT CLASSIFICATION %U https://aircconline.com/ijasa/V10N4/10422ijasa02.pdf %V 10 %X Social media platform has greatly enhanced human interactive activities in the virtual community. Virtual socialization has positively influenced social bonding among social media users irrespective of one’s location in the connected global village. Human user and social bot user are the two types of social media users. While human users personally operate their social media accounts, social bot users are developed software that manages a social media account for the human user called the botmaster. This botmaster in most cases are hackers with bad intention of attacking social media users through various attacking mode using social bots. The aim of this research work is to design an intelligent framework that will prevent attacks through social bots on social media network platforms.

@article{noauthororeditor, abstract = {Social media platform has greatly enhanced human interactive activities in the virtual community. Virtual socialization has positively influenced social bonding among social media users irrespective of one’s location in the connected global village. Human user and social bot user are the two types of social media users. While human users personally operate their social media accounts, social bot users are developed software that manages a social media account for the human user called the botmaster. This botmaster in most cases are hackers with bad intention of attacking social media users through various attacking mode using social bots. The aim of this research work is to design an intelligent framework that will prevent attacks through social bots on social media network platforms. }, added-at = {2023-08-23T14:45:28.000+0200}, biburl = {https://www.bibsonomy.org/bibtex/22f8c422c34cf344e7b8140e4856ad173/usmankhawaja}, description = {Virtual socialization has greatly enhanced social bonding irrespective of one’s location in the global village. Different social media platform exists to help with different aspects of social interactions. During the past decade, social media like Twitter and Facebook emerged as a widespread tool for massive-scale and real-time communication [1]. Twitter and Facebook alone attracts over 500 million users across the world [2] which shows a rapid growth in the virtual community. Two categories of social media users identified in this virtual community are human users and social bot users. While human users personally operate their social media accounts, social bot users are developed software that manages a social media account for the human user called the botmaster. A typical example of a social bot user is a twitter bot which can be automated to write tweets, re-tweet, and like a tweet. Twitter platform does not mind the use of Twitter bot accounts as long as they do not break the Terms of Service of the platform [3]. Just as there are good human social media users and bad users called hackers, there are also good social bot user that manages the botmaster’s account and bad ones as well used for attacks on the social media platform. Majority of human users of the social media platform are less knowledgeable about the functionality, security features and precautionary measures necessary to enhance safe interaction in the social cyberspace. In a more convenient way, bad users called hackers preferably employ the use of bad social bots to attack unsuspecting users. Hence, differentiating between a human user and bad social bot user becomes essential to inform a naïve user on the level of trust to be given to a social connection for virtual interaction}, editor = {Bakpo1, Francis S.}, interhash = {68b15e56b88b6bf7e70e8bffcd67578a}, intrahash = {2f8c422c34cf344e7b8140e4856ad173}, journal = {The International Journal of Ambient Systems and applications(IJASA)}, keywords = {myown networks}, month = {December}, number = 4, pages = 10, timestamp = {2023-08-23T14:45:28.000+0200}, title = {A CONCEPTUAL FRAMEWORK OF A DETECTIVE MODEL FOR SOCIAL BOT CLASSIFICATION}, url = {https://aircconline.com/ijasa/V10N4/10422ijasa02.pdf}, volume = 10, year = 2023 }