This paper describes a novel application of NLP models to detect denial of service attacks using only social media as evidence.
This paper describes a novel application of NLP models to detect denial of service attacks using only social media as evidence. Individ- ual networks are often ...
Detecting Denial-of-Service Attacks from Social Media Text
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Wang, Z. et al. utilized NLP word embedding techniques and deep learning models to predict the probability of DDoS occurrences by monitoring pertinent text ...
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This paper describes a novel application of NLP models to detect denial of service attacks using only social media as evidence. Individual networks are ...
In this study, we propose a cyberattack detection model on social media. First, we conduct community detection of users related to cyberattacks on Twitter.
Several research projects have been proposing the need for an automated system to recognize SE attacks based most commonly on Natural Language Processing (NLP) ...
Dec 10, 2021 · The paper at hand proposes a solution that uses neural network (NN) based NLP to monitor suspicious activities in social networks allowing us to identify and ...
Nov 2, 2023 · In this article, we explore the potential of Large Language Models (LLMs) for cybersecurity, focusing specifically on DDoS attack detection in ...
Jan 6, 2023 · This paper contributes towards an effective threats and vulnerabilities analysis by adopting Machine Learning models, such as the BERT neural language model ...
Jul 16, 2021 · Chambers et al. (2018) showed that using data from social media, NLP can be used to detect denial-of-service attacks. Classifying malicious ...