Machine learning meets computation and communication control in evolving edge and cloud: Challenges and future perspective
Mobile Edge Computing (MEC) is considered an essential future service for the
implementation of 5G networks and the Internet of Things, as it is the best method of …
implementation of 5G networks and the Internet of Things, as it is the best method of …
[PDF][PDF] Pemanfaatan machine learning dalam berbagai bidang
A Roihan, PA Sunarya… - Jurnal …, 2020 - download.garuda.kemdikbud.go.id
Pembelajaran mesin merupakan bagian dari kecerdasan buatan yang banyak digunakan
untuk memecahkan berbagai masalah. Artikel ini menyajikan ulasan pemecahan masalah …
untuk memecahkan berbagai masalah. Artikel ini menyajikan ulasan pemecahan masalah …
Machine and deep learning solutions for intrusion detection and prevention in IoTs: A survey
The increasing number of connected devices in the era of Internet of Thing (IoT) has also
increased the number intrusions. Intrusion Detection System (IDS) is a secondary intelligent …
increased the number intrusions. Intrusion Detection System (IDS) is a secondary intelligent …
[HTML][HTML] Deep learning intervention for health care challenges: some biomedical domain considerations
The use of deep learning (DL) for the analysis and diagnosis of biomedical and health care
problems has received unprecedented attention in the last decade. The technique has …
problems has received unprecedented attention in the last decade. The technique has …
Malware cyberattacks detection using a novel feature selection method based on a modified whale optimization algorithm
RRN Al Ogaili, ES Alomari, MBM Alkorani… - Wireless …, 2023 - Springer
Malware cyberattacks have increased rapidly with the rise of Internet users, IoT devices,
smart cities, etc. Attackers are constantly trying to evolve their methods and attack …
smart cities, etc. Attackers are constantly trying to evolve their methods and attack …
Use of Machine Learning algorithms for designing efficient cyber security solutions
S Soni, B Bhushan - 2019 2nd international conference on …, 2019 - ieeexplore.ieee.org
With rapidly increment of internet traffic, the importance of cyber security also increases
significantly. Several areas like IP traffic classifications, detection of-intrusion, spam and …
significantly. Several areas like IP traffic classifications, detection of-intrusion, spam and …
Machine learning and deep learning approaches in IoT
A Javed, M Awais, M Shoaib, KS Khurshid… - PeerJ Computer …, 2023 - peerj.com
The internet is a booming sector for exchanging information because of all the gadgets in
today's world. Attacks on Internet of Things (IoT) devices are alarming as these devices …
today's world. Attacks on Internet of Things (IoT) devices are alarming as these devices …
When machine learning meets security issues: A survey
Z Guan, L Bian, T Shang, J Liu - 2018 IEEE international …, 2018 - ieeexplore.ieee.org
Machine learning is one of the most prevalent techniques in recent decades which has been
widely applied in various fields. Among them, the applications that detect and defend …
widely applied in various fields. Among them, the applications that detect and defend …
Evaluation of supervised machine learning algorithms for multi-class intrusion detection systems
S Kaddoura, AE Arid, M Moukhtar - Proceedings of the Future …, 2022 - Springer
The increased demand for network security nowadays is becoming a crucial strategy.
Accordingly, a need for intrusion detection system is essential to track cybersecurity attacks …
Accordingly, a need for intrusion detection system is essential to track cybersecurity attacks …
[图书][B] Towards Enhancement of Machine Learning Techniques Using CSE-CIC-IDS2018 Cybersecurity Dataset
D Ravikumar - 2021 - search.proquest.com
In machine learning, balanced datasets play a crucial role in the bias observed towards
classification and prediction. The CSE-CIC IDS datasets published in 2017 and 2018 have …
classification and prediction. The CSE-CIC IDS datasets published in 2017 and 2018 have …