Advanced machine learning approach for DoS attack resilience in internet of vehicles security

N Ahmed, F Hassan, K Aurangzeb, AH Magsi… - Heliyon, 2024 - cell.com
Recent years have witnessed security as a great concern in vehicular networks (VANET).
Particularly, Denial of Service (DoS) and Distributed Denial of Service (DDoS) attacks can …

Comprehensive review of malware detection techniques

U Inayat, MF Zia, F Ali, SM Ali… - 2021 International …, 2021 - ieeexplore.ieee.org
If we focus on the attacks of smartphones and computer systems, various malware or
malicious codes are set up regularly about which our users are unaware. These program …

Malware visual resemblance analysis with minimum losses using Siamese neural networks

TS Lakshmi, M Govindarajan, A Sreenivasulu - Theoretical Computer …, 2023 - Elsevier
With the rapid development of information technology, malware has grown exponentially to
become the main threat to network security. Malware generally refers to all malicious …

Distributed Ensemble Method Using Deep Learning to Detect DDoS Attacks in IoT Networks

P Shukla, CR Krishna, NV Patil - Arabian Journal for Science and …, 2024 - Springer
The widespread adoption of Internet of Things (IoT) devices has increased exponentially in
recent years. Consequently, the security risks and vulnerabilities related to these unsecured …

Heart attack disease data analytics and machine learning

M Nabeel, MJ Awan, M Raza… - 2021 international …, 2021 - ieeexplore.ieee.org
The most serious problems that faces a cardiologist the patient with heart, failure heart
failure is very common and increasingly common these days it's because it is a common …

[PDF][PDF] Apache Spark Based Deep Learning for Social Transaction Analysis.

R Jmal, M Masmoudi, I Amous, CA Zayani, F Sèdes - WEBIST, 2023 - scitepress.org
In an attempt to cope with the increasing number of trust-related attacks, a system that
analyzes the whole social transaction in real-time becomes a necessity. Traditional systems …

Trust attack prevention based on Spark-blockchain in social IoT: a survey

M Masmoudi, I Amous, CA Zayani, F Sèdes - International Journal of …, 2024 - Springer
Abstract Integrating the Internet of Things (IoT) with Social Networks (SN) has given rise to a
new paradigm called Social IoT, which allows users and objects to establish social …

Real-time prevention of trust-related attacks in social IoT using blockchain and Apache spark

M Masmoudi, I Amous, CA Zayani, F Sèdes - Computer Communications, 2024 - Elsevier
Abstract The Social Internet of Things (Social IoT) introduces a fresh approach to promote
the usability of IoT networks and enhance service discovery by incorporating social contexts …

[PDF][PDF] An Efficient Real Time Intrusion Detection System for Big Data Environment.

F Louati, FB Ktata, I Amous, AP Rocha, L Steels… - ICAART (3), 2023 - scitepress.org
Nowadays, Security is among the most difficult issues in networks over the world. The
problem becomes more challenging with the emergence of big data. Intrusion detection …

An efficient DDoS detection method based on packet grouping via online data flow processing

M He, X Zhao, X Wang - IEEE Transactions on Sustainable …, 2024 - ieeexplore.ieee.org
Distributed Denial of Service attacks are considered to be one of the most common and
effective threats in the security field, aiming to deny or weaken the service providing of its …