Results 11 to 20 of about 3,573,456 (297)

An attack detection method based on deep learning for internet of things [PDF]

Scientific Reports
With the rapid development of Internet of Things (IoT) technology, the number of network attack methods it faces is also increasing, and the malicious network traffic generated is growing exponentially.
Yihan Yu, Yu Fu, Taotao Liu, Kun Wang, Yishuai An   +4 more
doaj   +2 more sources

Intrusion Detection Systems for Community Wireless Mesh Networks [PDF]

, 2008
Wireless mesh networks are being increasingly used to provide affordable network connectivity to communities where wired deployment strategies are either not possible or are prohibitively expensive.
Smith, Paul, Makaroff, D., Race, Nicholas J. P., Hutchison, David   +3 more
core   +5 more sources

Experimental and Theoretical Study for the Popular Shilling Attacks Detection Methods in Collaborative Recommender System

IEEE Access, 2023
The stability and reliability of filtration and recommender systems are crucial for continuous operation. The presence of fake profiles, known as “shilling attacks,” can undermine the reliability of these systems. Therefore, it is important
Reda A. Zayed, Lamiaa Fattouh Ibrahim, Hesham A. Hefny, Hesham A. Salman, Abdulaziz AlMohimeed   +4 more
doaj   +1 more source

Detecting BrakTooth Attacks

Proceedings of the 20th International Conference on Security and Cryptography, 2023
More than 5.1 billion Bluetooth-enabled devices were shipped in the year 2022 and this trend is expected to exceed 7.1 billion by the year 2026. A large proportion of these devices are used in smart homes designed for older adults, to help them age in place.
Nandikotkur, Achyuth, Traore, Issa, Mamun, Mohammad   +2 more
openaire   +2 more sources

Standalone Behaviour-Based Attack Detection Techniques for Distributed Software Systems via Blockchain

Applied Sciences, 2021
With the rapid increase of cyberattacks that presently affect distributed software systems, cyberattacks and their consequences have become critical issues and have attracted the interest of research communities and companies to address them.
Hosam Aljihani, Fathy Eassa, Khalid Almarhabi, Abdullah Algarni, Abdulaziz Attaallah   +4 more
doaj   +1 more source

Network Attack Detection Method of the Cyber-Physical Power System Based on Ensemble Learning

Applied Sciences, 2022
With the rapid development of power grid informatization, the power system has evolved into a multi-dimensional heterogeneous complex system with high cyber-physical integration, denoting the Cyber-Physical Power System (CPPS).
Jie Cao, Da Wang, Qi-Ming Wang, Xing-Liang Yuan, Kai Wang, Chin-Ling Chen   +5 more
doaj   +1 more source

Face Morphing, a Modern Threat to Border Security: Recent Advances and Open Challenges

Applied Sciences, 2021
Face morphing poses a serious threat to Automatic Border Control (ABC) and Face Recognition Systems (FRS) in general. The aim of this paper is to present a qualitative assessment of the morphing attack issue, and the challenges it entails, highlighting ...
Erion-Vasilis Pikoulis, Zafeiria-Marina Ioannou, Mersini Paschou, Evangelos Sakkopoulos   +3 more
doaj   +1 more source

Efficient detection of faults and false data injection attacks in smart grid using a reconfigurable Kalman filter [PDF]

, 2022
The distribution denial of service (DDoS) attack, fault data injection attack (FDIA) and random attack is reduced. The monitoring and security of smart grid systems are improved using reconfigurable Kalman filter.
Prakyath Dayananda, Nagaraju, Sharmila, Velluri, Rekha, Sharmila Nagaraju, Doddananjedevaru Mahesh Kumar, Mallikarjunaswamy Srikantaswamy, Rekha Velluri, Dayananda, Prakyath, Kumar, Doddananjedevaru Mahesh, Srikantaswamy, Mallikarjunaswamy   +9 more
core   +1 more source

Unknown presentation attack detection against rational attackers [PDF]

IET Biometrics, 2021
Abstract Despite the impressive progress in the field of presentation attack detection and multimedia forensics over the last decade, these systems are still vulnerable to attacks in real‐life settings. Some of the challenges for the existing solutions are the detection of unknown attacks, the ability to perform in adversarial ...
Ali Khodabakhsh 0001, Zahid Akhtar
openaire   +4 more sources

HTTP flood attack detection in application layer using machine learning metrics and bio inspired bat algorithm

Applied Computing and Informatics, 2019
The internet network is mostly victimized to the Distributed Denial of Service (DDOS) attack, which is one that intentionally occupies the computing resources and bandwidth in order to deny that services to potential users.
Indraneel Sreeram, Venkata Praveen Kumar Vuppala   +1 more
doaj   +1 more source