Zobrazeno 1 - 10
of 351
pro vyhledávání: '"MOUSTAFA, NOUR"'
Autor:
Hassanin, Mohammed, Moustafa, Nour
The recent progression of Large Language Models (LLMs) has witnessed great success in the fields of data-centric applications. LLMs trained on massive textual datasets showed ability to encode not only context but also ability to provide powerful com
Externí odkaz:
http://arxiv.org/abs/2405.14487
Publikováno v:
In Engineering Applications of Artificial Intelligence December 2024 138 Part B
The uses of Machine Learning (ML) in detection of network attacks have been effective when designed and evaluated in a single organisation. However, it has been very challenging to design an ML-based detection system by utilising heterogeneous networ
Externí odkaz:
http://arxiv.org/abs/2111.02791
Autor:
Koroniotis, Nickolaos, Moustafa, Nour, Turnbull, Benjamin, Schiliro, Francesco, Gauravaram, Praveen, Janicke, Helge
The Internet of Things (IoT) paradigm has displayed tremendous growth in recent years, resulting in innovations like Industry 4.0 and smart environments that provide improvements to efficiency, management of assets and facilitate intelligent decision
Externí odkaz:
http://arxiv.org/abs/2109.09259
A large number of network security breaches in IoT networks have demonstrated the unreliability of current Network Intrusion Detection Systems (NIDSs). Consequently, network interruptions and loss of sensitive data have occurred, which led to an acti
Externí odkaz:
http://arxiv.org/abs/2108.12722
Publikováno v:
In Digital Communications and Networks April 2024 10(2):404-415
Machine learning (ML)-based intrusion detection systems (IDSs) play a critical role in discovering unknown threats in a large-scale cyberspace. They have been adopted as a mainstream hunting method in many organizations, such as financial institutes,
Externí odkaz:
http://arxiv.org/abs/2105.09157
Autor:
Oseni, Ayodeji, Moustafa, Nour, Janicke, Helge, Liu, Peng, Tari, Zahir, Vasilakos, Athanasios
The increased adoption of Artificial Intelligence (AI) presents an opportunity to solve many socio-economic and environmental challenges; however, this cannot happen without securing AI-enabled technologies. In recent years, most AI models are vulner
Externí odkaz:
http://arxiv.org/abs/2102.04661
Deep Neural Network (DNN) models have vulnerabilities related to security concerns, with attackers usually employing complex hacking techniques to expose their structures. Data poisoning-enabled perturbation attacks are complex adversarial ones that
Externí odkaz:
http://arxiv.org/abs/2012.04750