Mimicking Attack Detection at Hybrid Level [PDF]
EAI Endorsed Transactions on Energy Web, 2020 Botnets are becoming an easy way of creating multiple attacks. One of them was botnets simulate the behaviour that is very near to the legitimate users.
V Krishna, R Subhashini
doaj +1 more source
Social bot detection in the age of ChatGPT: Challenges and opportunities [PDF]
First Monday, 2023 We present a comprehensive overview of the challenges and opportunities in social bot detection in the context of the rise of sophisticated AI-based chatbots.
Emilio Ferrara
semanticscholar +1 more source
Tweet-Based Bot Detection Using Big Data Analytics
IEEE Access, 2021 Twitter is one of the most popular micro-blogging social media platforms that has millions of users. Due to its popularity, Twitter has been targeted by different attacks such as spreading rumors, phishing links, and malware.
Abdelouahid Derhab +5 more
doaj +1 more source
Heterogeneity-aware Twitter Bot Detection with Relational Graph Transformers [PDF]
AAAI Conference on Artificial Intelligence, 2021 Twitter bot detection has become an important and challenging task to combat misinformation and protect the integrity of the online discourse. State-of-the-art approaches generally leverage the topological structure of the Twittersphere, while they ...
Shangbin Feng +3 more
semanticscholar +1 more source
TwiBot-22: Towards Graph-Based Twitter Bot Detection [PDF]
Neural Information Processing Systems, 2022 Twitter bot detection has become an increasingly important task to combat misinformation, facilitate social media moderation, and preserve the integrity of the online discourse.
Shangbin Feng +21 more
semanticscholar +1 more source
johnchrishays/bot-detection: Initial release
, 2022 Code for "Simplistic Collection and Labeling Practices Limit the Utility of Benchmark Datasets for Twitter Bot ...
Chris Hays, Haoxaun "Orion545" Li
core +1 more source
Improved Mitigation of Cyber Threats in IIoT for Smart Cities: A New-Era Approach and Scheme
Sensors, 2021 Cybersecurity in Industrial Internet of Things (IIoT) has become critical as smart cities are becoming increasingly linked to industrial control systems (ICSs) used in critical infrastructure.
Semi Park, Kyungho Lee
doaj +1 more source
Simplistic Collection and Labeling Practices Limit the Utility of Benchmark Datasets for Twitter Bot Detection [PDF]
The Web Conference, 2023 Accurate bot detection is necessary for the safety and integrity of online platforms. It is also crucial for research on the influence of bots in elections, the spread of misinformation, and financial market manipulation.
Chris Hays +4 more
semanticscholar +1 more source
FedACK: Federated Adversarial Contrastive Knowledge Distillation for Cross-Lingual and Cross-Model Social Bot Detection [PDF]
The Web Conference, 2023 Social bot detection is of paramount importance to the resilience and security of online social platforms. The state-of-the-art detection models are siloed and have largely overlooked a variety of data characteristics from multiple cross-lingual ...
Ying-Guang Yang +6 more
semanticscholar +1 more source
vamsitadikonda/chat-defender-bot: First Release
, 2022 The First release of the bot.
Bharath +5 more
core +1 more source