Analysis of Sybil Attacks in Online Social Networks Using SyPy

Autor: C. V. Chaithra, Blessy Antony, Bijitha Balakrishnan, Christina Roseline, P. V. Bhavyasree
Rok vydání: 2021
Předmět:
Zdroj: Lecture Notes in Networks and Systems ISBN: 9789811609794
DOI: 10.1007/978-981-16-0980-0_16
Popis: Sybil attacks in online social networks have crucial security implications. The problem of pernicious activities in these networks, such as Sybil attacks and use of bogus identities, can severely affect the social activities in which users interact. Hence, these types of spiteful accounts must be observed and deactivated. In this paper, we simulate an online social network with an honest region and a Sybil region. This paper mainly focuses on the various parameters in the online social network and scrutinizing the impact of these parameters on Sybil attack. It is equally important to detect the most vulnerable nodes in the network to avert them from malicious users. This paper requires extensive knowledge about graphs and its properties are probability triads, clustering coefficient, degree distribution, etc.
Databáze: OpenAIRE