Adapting to Evasive Tactics through Resilient Adversarial Machine Learning for Malware Detection
GB Krishna, GS Kumar, M Ramachandra… - … on Computing for …, 2024 - ieeexplore.ieee.org
This paper presents the Adaptive Resilience-based Convolutional Network (ARCNet), a
sophisticated machine learning framework specifically designed to detect advanced …
sophisticated machine learning framework specifically designed to detect advanced …
A Hybrid Deep Learning Approach for Accurate and Efficient Classification for Vegetable Recognition
In this research work, we address the formidable challenge of automating the recognition
and classification of vegetables by applying cutting-edge deep learning techniques. The …
and classification of vegetables by applying cutting-edge deep learning techniques. The …
Prevention of Security Attacks at Wireless Network Layers using Machine Learning Techniques
S Ramisetty, GSP Ghantasala… - 2024 11th International …, 2024 - ieeexplore.ieee.org
Wireless sensor networks have great potential for use in flood control, weather forecasting
systems, the military, and the healthcare industry. A WSN's nodes are connected to one …
systems, the military, and the healthcare industry. A WSN's nodes are connected to one …
A robust certificate management system to prevent evil twin attacks in IEEE 802.11 networks
Y Daldoul, M Berrima - International Journal of Information Technology, 2024 - Springer
The evil twin attack is a major security threat to wireless local area networks (WLANs). An
evil twin is a rogue AP installed by a malicious user to impersonate legitimate Access Points …
evil twin is a rogue AP installed by a malicious user to impersonate legitimate Access Points …
Examining Potential for Sustainable Development through Adaptive Reuse and IoT: A Case Study of Kapurthala, India
H Kaur, V Sood, M Sood - 2024 11th International Conference …, 2024 - ieeexplore.ieee.org
Historical structure and spatial domains hold paramount significance within the realm of
nationalism and serve as essential agents in the construction and protection of a collective …
nationalism and serve as essential agents in the construction and protection of a collective …
Compatibility Analysis of Construction and Demolished Waste in the Modern Era of Sustainable Road Infrastructure
H Kaur, M Joshi, M Sood, S Singh… - 2024 11th International …, 2024 - ieeexplore.ieee.org
Construction waste is becoming a problem day by day, with ever changing human needs,
architecture styles; wear 'n tear and many other reasons. Rapid industrial development and …
architecture styles; wear 'n tear and many other reasons. Rapid industrial development and …
Advancing Android Malware Detection with BioSentinel Neural Network using Hybrid Deep Learning Techniques
DS Rani, K Gnaneshwar, KS Pattem… - … on Computing for …, 2024 - ieeexplore.ieee.org
The paper introduces the BioSentinel Neural Network (BSNN), a novel hybrid deep learning
model designed to enhance malware detection, particularly focusing on zero-day threats …
model designed to enhance malware detection, particularly focusing on zero-day threats …