List of accepted papers

The First International Conference on Natural Language Processing and Artificial Intelligence for Cyber Security (NLPAICS’2024) is organised by the Lancaster University UCREL NLP research group.

Title

Authors

Detection of Extremist Ideology in Kazakh Language Using Machine Learning Techniques
Shynar Mussiraliyeva, Zhastay Yeltay, Milana Bolatbek and Kymbat Baisylbayeva
Metric-Oriented Pretraining of Neural Source Code Summarisation Transformers to Enable more Secure Software Development
Jesse Phillips, Mo El-Haj and Tracy Hall
Comprehensive threat analysis and systematic mapping of CVEs to MITRE framework
Stefano Simonetto and Peter Bosch
Comparative Analysis of Natural Language Processing Models for Malware Spam Email Identification
Francisco Jáñez-Martino, Eduardo Fidalgo, Rocío Alaiz-Rodríguez, Andrés Carofilis and Alicia Martínez-Mendoza
Predicting Software Vulnerability Trends with Multi-Recurrent Neural Networks: A Time Series Forecasting Approach
Abanisenioluwa K. Orojo, Webster C. Elumelu and Oluwatamilore O. Orojo
Predatory Publication of AI-Generated Research Papers

Lizzie Burgiss, Ben Tatum, Christopher Henshaw, Madison Boswell and Alan Michaels

Deciphering Cyber Threats: A Unifying Framework with GPT-3.5, BERTopic and Feature Importance
Chun Man Tsang, Tom Bell, Antonios Gouglidis and Mo El-Haj
Variation between Credible and Non-Credible News Across Topics
Emilie Francis
CECILIA: Enhancing CSIRT Effectiveness with Transformer-Based Cyber Incident Classification
Juan Jose Delgado Sotes, Alicia Martinez Mendoza, Andres Carofilis Vasco, Eduardo Fidalgo Fernandez and Enrique Alegre Gutierrez
SpamClus: An Agglomerative Clustering Algorithm for Spam Email Campaigns Detection
Daniel Díaz, Wesam Al-Nabki, Laura Fernández-Robles, Enrique Alegre, Eduardo Fidalgo and Alicia Martínez-Mendoza
Can LLMs assist with Ambiguity? A Quantitative Evaluation of various Large Language Models on Word Sense Disambiguation
Deshan Koshala Sumanathilaka, Nicholas Micallef and Julian Hough
Code Optimisation and Security Tool (COST)
Naman Gupta, Saachi Kaup, Shreya Govil and Trisha Saxena
Privacy Preservation in Federated Market Basket Analysis using Homomorphic Encryption
Sameeka Saini and Durga Toshniwal
LSTM-PSO: NLP-based model for detecting Phishing Attacks
Abdulrahman A. Alshdadi
A Proposal Framework Security Assessment for Large Language Models
Daniel Mendonça Colares, Raimir Holanda Filho and Luis Borges Gouveia
Explainability of Machine Learning Approaches in Forensic Linguistics: A Case Study in Geolinguistic Authorship Profiling
Dana Roemling, Yves Scherrer and Aleksandra Miletić
Is it Offensive or Abusive? An Empirical Study of Hateful Language Detection of Arabic Social Media Texts
Salim Al Mandhari, Mo El-Haj and Paul Rayson
Not Everything Is Online Grooming: False Risk Finding in Large Language Model Assessments of Human Conversations

Ellie Prosser and Matthew Edwards

Redacted Contextual Question Answering with Generative Large Language Models

Jacob Lichtefeld, Joe A. Cecil, Alex Hedges, Jeremy Abramson and Marjorie Freedman

The Influence of the Perplexity Score in the Detection of Machine-generated Texts
Alberto José Gutiérrez Megías, L. Alfonso Ureña-López and Eugenio Martínez Cámara
The Elsagate Corpus: Characterising Commentary on Alarming Video Content
Panagiotis Soustas and Matthew Edwards
WAVE-27K: Bringing together CTI Sources for Enhanced Threat Intelligence Models
Felipe Castaño, Amaia Gil-Lerchundi, Raul Orduna-Urrutia, Eduardo Fidalgo Fernandez and Rocío Alaiz-Rodríguez
Abusive Speech Detection in Serbian using Machine Learning
Danka Jokić, Ranka Stanković and Branislava Šandrih Todorović
Human-in-the-loop Anomaly Detection and Contextual Intelligence for Enhancing Cybersecurity Management
Thomas Schaberreiter, Jerry Andriessen, Cinzia Cappiello, Alex Papanikolaou and Mirjam Pardijs
Autonomous Agents for Cyber Deception
Lewis Newsham, Daniel Prince and Ryan Hyland
Fighting Cyber-malice: A Forensic Linguistics Approach to Detecting AI-generated Malicious Texts
Rui Sousa-Silva
U-BERTopic: An Urgency-Aware BERT-Topic Modeling Approach for Detecting CyberSecurity Issues via Social Media
Majed Albarrak, Gabriele Pergola and Arshad Jhumka
Unlocking LLMs Capabilities: Addressing Scarce Data and Inherent Bias Challenges in Mental Health and Therapeutic Counselling
Vivek Kumar, Pushpraj Singh Rajwat, Giacomo Medda, Eirini Ntoutsi and Diego Reforgiato Recupero
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