Detection of suspicious terrorist emails using text classification: A review
This paper provides a comprehensive review and analysis of the detection of suspicious
terrorist electronic mails (emails) using various phases and methods of text classification …
terrorist electronic mails (emails) using various phases and methods of text classification …
Modeling suspicious email detection using enhanced feature selection
The paper presents a suspicious email detection model which incorporates enhanced
feature selection. In the paper we proposed the use of feature selection strategies along with …
feature selection. In the paper we proposed the use of feature selection strategies along with …
A comparison of text classification methods: Towards fake news detection for Indonesian websites
TA Roshinta, EK Fauziyah, IF Dinata… - 2022 1st …, 2022 - ieeexplore.ieee.org
Fake news reports false or distorted information that aims to mislead us and undoubtedly
has a negative impact on society. For example, medical research in Taiwan shows that fake …
has a negative impact on society. For example, medical research in Taiwan shows that fake …
Email text analysis for fraud detection through machine learning techniques
R Al-Haddad, F Sahwan… - 3rd Smart Cities …, 2020 - ieeexplore.ieee.org
Technology is improving and developing every day, new techniques and tools are releasing
daily. Due to the development of technology, the number of new software and websites are …
daily. Due to the development of technology, the number of new software and websites are …
Performance Analysis of Machine Learning Algorithms for Text Classification
M Thejaswee, V Srilakshmi, K Anuradha… - Advanced Informatics for …, 2021 - Springer
In the current century, the number of complex documents and messages requiring a top-to-
bottom understanding of ML strategies that precisely identify texts in different applications is …
bottom understanding of ML strategies that precisely identify texts in different applications is …
Adaptable reduced-complexity approach based on state vector machine for identification of criminal activists on social media
Security agencies face an emerging challenge of identifying and counter the malicious
contents spread on the social media by the terrorists. However, text classification techniques …
contents spread on the social media by the terrorists. However, text classification techniques …
Deep learning framework for cyber threat situational awareness based on email and url data analysis
R Vinayakumar, KP Soman, P Poornachandran… - … and Secure Information …, 2019 - Springer
Spamming and Phishing attacks are the most common security challenges we face in
today's cyber world. The existing methods for the Spam and Phishing detection are based …
today's cyber world. The existing methods for the Spam and Phishing detection are based …
[HTML][HTML] Detecting suspicious texts using machine learning techniques
Due to the substantial growth of internet users and its spontaneous access via electronic
devices, the amount of electronic contents has been growing enormously in recent years …
devices, the amount of electronic contents has been growing enormously in recent years …
Identification and classification of cybercrimes using text mining technique
Cyber-crimes involve all the crimes where internet is used as an access medium and
committed through some electronic device such as computers and mobile phones …
committed through some electronic device such as computers and mobile phones …
Intelligent analysis of Arabic tweets for detection of suspicious messages
MA AlGhamdi, MA Khan - Arabian Journal for Science and Engineering, 2020 - Springer
With the widespread use of messaging via social networks such as Twitter, Instagram, and
Facebook, it is becoming imperative for researchers to devise intelligent systems for data …
Facebook, it is becoming imperative for researchers to devise intelligent systems for data …