Avoiding and isolating flooding attack by enhancing AODV MANET protocol (AIF_AODV)

M Abu Zant, A Yasin - Security and Communication Networks, 2019 - Wiley Online Library
Security in MANET is an essential task in preventing the harm that could be caused by
malicious nodes in the network. Flooding attack is one of DoS attacks that aim to exhaust the …

Prediction of stock price using statistical and ensemble learning models: a comparative study

A Durgapal, V Vimal - 2021 IEEE 8th Uttar Pradesh Section …, 2021 - ieeexplore.ieee.org
Prediction of the stock price has always been a challenging task due to irregular patterns of
the market. Uncertainty has made researchers think of some new and robust predictive …

[HTML][HTML] Secure intrusion detection system routing protocol for mobile ad‐hoc network

R Prasad - Global Transitions Proceedings, 2022 - Elsevier
With the recent advancements in the field of wireless networks or Mobile Ad-hoc networks
(MANETs), mobile computing is the most powerful use for network communication and …

FAPDRP: a flooding attacks prevention and detection routing protocol in vehicular ad hoc network using behavior history and nonlinear median filter transformation

NT Luong, AQ Nguyen, D Hoang - Wireless Networks, 2024 - Springer
Vehicular ad hoc network (VANET) is one of the challenging research areas in recent times
with applications to intelligent traffic systems. In VANET, the link between vehicles going in …

AFA: Anti-flooding attack scheme against flooding attack in MANET

V Mankotia, RK Sunkaria, S Gurung - Wireless Personal Communications, 2023 - Springer
Security in a mobile ad-hoc network is an essential requirement that helps in preventing
attacks from the malicious node. A flooding attack is a type of denial of service attack that …

Detection of Wormhole Attack Via Bio-Inspired Ant Colony Optimization Based Trust Model in WSN Assisted IoT Network

H Singh, M Bala, SS Bamber, M Angurala - Wireless Personal …, 2024 - Springer
Wireless sensor networks are always a demanding field, no matter how technology
advances in recent times. Energy efficiency and security are the major concerns for such …

Improving Anthracnose Severity Grading in Green Beans through CNN-LSTM Integration

D Upadhyay, M Aeri, V Kukreja… - … on Innovations and …, 2024 - ieeexplore.ieee.org
The present research is designed to build and modelized accurately the severity of
anthracnose by integrating Convolutional Neural Networks (CNN) with Long Short-Term …

Beyond the Table: A Federated Learning CNN's Framework for Classifying Serve Shots in Table Tennis

S Mehta, A Bhalla - 2024 7th International Conference on …, 2024 - ieeexplore.ieee.org
The approach categorized serve shot motions into five distinct classes, enabling detailed
performance analysis for players and coaches to rely on the Federated Averaging (FedAvg) …

Revolutionizing in Agriculture: Federated CNN Models for Sunflower Leaf Diseases

J Joshi, M Aeri, V Kukreja… - 2024 11th International …, 2024 - ieeexplore.ieee.org
With the advent of an age when the reason for adopting precision agriculture to ensure
essential food security and economic sustainability is foremost, the precise recognition and …

Innovating Cricket Dynamics: A CNN-SVM Approach to Bowling Movements

R Goyal, P Chaudhary, M Manwal… - … (Trends and Future …, 2024 - ieeexplore.ieee.org
The report presents a detailed methodology involving convolutional neural networks (CNN)
and support vector machines (SVM), which are used to label predefined cricket bowling …