Defense Mechanism Against Attacks Promoting Spread Of Wrong Information

S Mahmood, F Akif, H Ashraf, NZ Jhanjhi - 2024 - preprints.org
The rise in dependency upon information present on web and social networks has
increased the importance of content credibility systems. These sys-tems can help the users …

[PDF][PDF] Identifying Fake Profile in Online Social Network

HG Nagariya, N Dhanotiya, S Joshi… - ACM Workshop on …, 2021 - ceur-ws.org
Abstract Online Social Networks involve a huge amount of people from all over the world
and it has become a big part of their life. People use social networks to share their feelings …

[PDF][PDF] Increasing the Accuracy of Sibyl Attack Detection in Social Networks using Hybrid Clustering Method based on a Graph-structure

A Shahparastan, A Amini, H Saboohi - Journal of Soft Computing and …, 2023 - jscit.nit.ac.ir
Sybil attacks are increasingly growing and expanding in social networks. A malicious user
with a fake identity, known as a Sybil attack, can create a large number of fake accounts to …

Recent advances in security and privacy in Social Big Data

J Zhang, A Castiglione, LT Yang, Y Zhang - Future Generation Computer …, 2018 - Elsevier
Social Networks and Big Data have pervaded all aspects of our daily lives. With their
unparalleled popularity, Social Networks have evolved from the platforms for social …

Convolution Neural Network Based Model for Classification and Identification of Fake Profile on Social Network

T Ahemad, M Lipton - International Conference on Communication …, 2022 - Springer
The use of social media for business and politics has led to more bad behaviour. Like
personal, corporate, and political propaganda, social media engagement has encouraged …

Sybil account detection in online social networks using statistical feature selection techniques

A Chauhan, M Sood - Futuristic Trends in Networks and Computing …, 2020 - Springer
Abstract Online Social Networks (OSNs) are fast becoming an essential media for social
interactions among its users. With the rapid growth of these OSNs, the malicious and illegal …

[PDF][PDF] AgentBotSpotter: a multi-agent system for online Twitter bot detection

JVF Abreu - 2021 - ppgi.unb.br
Online social networks like Twitter provide a novel channel to allow interaction between
human beings. However, its success has attracted interest in attacking and exploiting …

使用XGBoost 機器學習法進行攻擊檢測與分析並以ELK Stack 視覺化於網路日誌系統

賴慶翰 - 2019 - thuir.lib.thu.edu.tw
近年來隨著人工智慧與機器學習技術發展逐漸成熟, 越來越多網路攻擊行為以此做為發展方向,
企圖將其發展成迴避資訊安全偵察的新手段, 這也因此大大增加了資訊安全防護的難度 …

A New Incentive Mechanism to Detect and Restrict Sybil Nodes in P2P File-Sharing Networks with a Heterogeneous Bandwidth

M Babazadeh Shareh, HR Navidi… - Journal of AI and …, 2020 - jad.shahroodut.ac.ir
In cooperative P2P networks, there are two kinds of illegal users, namely free riders and
Sybils. Free riders are those who try to receive services without any sort of cost. Sybil users …

Pattern Identification of Bot Messages for Media Literacy

EF Dos Santos, D Silva de Carvalho… - Proceedings of the …, 2021 - dl.acm.org
The massive use of online social media is a reality nowadays. Such an increasing usage
also raises growth in malicious activities in social media, one of which is the use of …