Machine learning meets computation and communication control in evolving edge and cloud: Challenges and future perspective

TK Rodrigues, K Suto, H Nishiyama… - … Surveys & Tutorials, 2019 - ieeexplore.ieee.org
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 …

[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 …

Machine and deep learning solutions for intrusion detection and prevention in IoTs: A survey

PLS Jayalaxmi, R Saha, G Kumar, M Conti… - IEEE Access, 2022 - ieeexplore.ieee.org
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 …

[HTML][HTML] Deep learning intervention for health care challenges: some biomedical domain considerations

I Tobore, J Li, L Yuhang, Y Al-Handarish… - JMIR mHealth and …, 2019 - mhealth.jmir.org
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 …

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 …

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 …

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 …

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 …

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 …

[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 …