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The field of Natural Language Processing (NLP) is currently undergoing a revolutionary transformation driven by the power of pre-trained Large Language Models (LLMs) based on groundbreaking Transformer architectures.
Byte pair encoding: A text compression scheme that accelerates pattern matching
Yusuxke Shibata, Takuya Kida, Shuichi Fukamachi, Masayuki Takeda, Ayumi Shinohara, Takeshi Shinohara, and Setsuo Arikawa · 1999
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2018
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Huggingface’s transformers: State-of-the-art natural language processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Rémi Louf, Morgan Funtowicz, et al · 2019
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Deep learning for cyber security intrusion detection: Approaches, datasets, and comparative study
Mohamed Amine Ferrag, Leandros Maglaras, Sotiris Moschoyiannis, and Helge Janicke · 2020
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Malbert: Malware detection using bidirectional encoder representations from transformers*
Abir Rahali and Moulay A. Akhloufi · 2021
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Cybert: Contextualized embeddings for the cybersecurity domain
Priyanka Ranade, Aritran Piplai, Anupam Joshi, and Tim Finin · 2021
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Securing critical infrastructures: Deep-learning-based threat detection in iiot
Keping Yu, Liang Tan, Shahid Mumtaz, Saba Al-Rubaye, Anwer Al-Dulaimi, Ali Kashif Bashir, and Farrukh Aslam Khan · 2021
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Predicting trends in the quality of state-of-the-art neural networks without access to training or testing data
Charles H Martin, Tongsu Peng, and Michael W Mahoney · 2021
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Transformer-based language models for software vulnerability detection
Chandra Thapa, Seung Ick Jang, Muhammad Ejaz Ahmed, Seyit Camtepe, Josef Pieprzyk, and Surya Nepal · 2022
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An attack detection framework based on bert and deep learning
Yunus Emre Seyyar, Ali Gökhan Yavuz, and Halil Murat Ünver · 2022
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Bert-log: Anomaly detection for system logs based on pre-trained language model
Song Chen and Hai Liao · 2022
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Edge-iiotset: A new comprehensive realistic cyber security dataset of iot and iiot applications for centralized and federated learning
Mohamed Amine Ferrag, Othmane Friha, Djallel Hamouda, Leandros Maglaras, and Helge Janicke · 2022
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Can-bert do it? controller area network intrusion detection system based on bert language model
Natasha Alkhatib, Maria Mushtaq, Hadi Ghauch, and Jean-Luc Danger · 2022
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Securebert: A domain-specific language model for cybersecurity
Ehsan Aghaei, Xi Niu, Waseem Shadid, and Ehab Al-Shaer · 2022
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Ppss: A privacy-preserving secure framework using blockchain-enabled federated deep learning for industrial iots
Djallel Hamouda, Mohamed Amine Ferrag, Nadjette Benhamida, and Hamid Seridi · 2022
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Felids: Federated learning-based intrusion detection system for agricultural internet of things
Othmane Friha, Mohamed Amine Ferrag, Lei Shu, Leandros Maglaras, Kim-Kwang Raymond Choo, and Mehdi Nafaa · 2022
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How effective is byte pair encoding for out-of-vocabulary words in neural machine translation?
Ali Araabi, Christof Monz, and Vlad Niculae · 2022
A deep learning-based solution for securing the power grid against load altering threats by iot-enabled devices
Hamidreza Jahangir, Subhash Lakshminarayana, Carsten Maple, and Gregory Epiphaniou · 2023
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Towards federated learning models resistant to adversarial attacks
Fei Hu, Wuneng Zhou, Kaili Liao, Hongliang Li, and Dongbing Tong · 2023
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2df-ids: Decentralized and differentially private federated learning-based intrusion detection system for industrial iot
Othmane Friha, Mohamed Amine Ferrag, Mohamed Benbouzid, Tarek Berghout, Burak Kantarci, and Kim-Kwang Raymond Choo · 2023
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Intelligent ai-based healthcare cyber security system using multi-source transfer learning method
Chinmay Chakraborty, Senthil Murugan Nagarajan, Ganesh Gopal Devarajan, TV Ramana, and Rajanikanta Mohanty · 2023
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Resilient distributed classification learning against label flipping attack: An admm-based approach
Xin Wang, Chongrong Fang, Ming Yang, Xiaoming Wu, Heng Zhang, and Peng Cheng · 2023
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Cited alongside, same era.
A hybrid cnn-lstm model for iiot edge privacy-aware intrusion detection
Erik Miguel de Elias, Vinicius Sanches Carriel, Guilherme Werneck De Oliveira, Aldri Luiz Dos Santos, Michele Nogueira, Roberto Hirata Junior, and Daniel Macêdo Batista · 2022
Cited alongside, same era.
Internet of Things (IoT) - Statistics & Facts
Statista Report · 2023
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Explainable intrusion detection for cyber defences in the internet of things: Opportunities and solutions
Nour Moustafa, Nickolaos Koroniotis, Marwa Keshk, Albert Y Zomaya, and Zahir Tari · 2023
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A machine learning approach for the nlp-based analysis of cyber threats and vulnerabilities of the healthcare ecosystem
Stefano Silvestri, Shareeful Islam, Spyridon Papastergiou, Christos Tzagkarakis, and Mario Ciampi · 2023
Cited alongside, same era.
Identifying security and privacy violation rules in trigger-action iot platforms with nlp models
Bernardo Breve, Gaetano Cimino, and Vincenzo Deufemia · 2023
Cited alongside, same era.
An artificial intelligence lightweight blockchain security model for security and privacy in iiot systems
Shitharth Selvarajan, Gautam Srivastava, Alaa O Khadidos, Adil O Khadidos, Mohamed Baza, Ali Alshehri, and Jerry Chun-Wei Lin · 2023
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Diversevul: A new vulnerable source code dataset for deep learning based vulnerability detection
Yizheng Chen, Zhoujie Ding, Xinyun Chen, and David Wagner · 2023
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Cps attack detection under limited local information in cyber security: An ensemble multi-node multi-class classification approach
Junyi Liu, Yifu Tang, Haimeng Zhao, Xieheng Wang, Fangyu Li, and Jingyi Zhang · 2023
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F-bids: Federated-blending based intrusion detection system
Ons Aouedi and Kandaraj Piamrat · 2023
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Generative ai for cyber threat-hunting in 6g-enabled iot networks
Mohamed Amine Ferrag, Merouane Debbah, and Muna Al-Hawawreh · 2023
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An automatic and efficient malware traffic classification method for secure internet of things
Xixi Zhang, Liang Hao, Guan Gui, Yu Wang, Bamidele Adebisi, and Hikmet Sari · 2023
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A deep learning integrated blockchain framework for securing industrial iot
Ahamed Aljuhani, Prabhat Kumar, Rehab Alanazi, Turki Albalawi, Okba Taouali, AKM Najmul Islam, Neeraj Kumar, and Mamoun Alazab · 2023
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Deepak-iot: An effective deep learning model for cyberattack detection in iot networks
Weiping Ding, Mohamed Abdel-Basset, and Reda Mohamed · 2023
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Generative ai for cyber threat-hunting in 6g-enabled iot networks
Mohamed Amine Ferrag, Merouane Debbah, and Muna Al-Hawawreh · 2023
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A lightweight iot intrusion detection model based on improved bert-of-theseus
Zhendong Wang, Jingfei Li, Shuxin Yang, Xiao Luo, Dahai Li, and Soroosh Mahmoodi · 2024
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