Results 41 to 50 of about 1,142,874 (336)
GIDS: GAN based Intrusion Detection System for In-Vehicle Network [PDF]
Conference on Privacy, Security and Trust, 2018 A Controller Area Network (CAN) bus in the vehicles is an efficient standard bus enabling communication between all Electronic Control Units (ECU). However, CAN bus is not enough to protect itself because of lack of security features.
Eunbi Seo, Hyun Min Song, H. Kim
semanticscholar +1 more source
IEEE Access, 2018 Intrusion detection is a fundamental part of security tools, such as adaptive security appliances, intrusion detection systems, intrusion prevention systems, and firewalls.
Iftikhar Ahmad +3 more
doaj +1 more source
, 2010 Intrusion Detection Systems (IDSs) play an important role in the defense strategy of site security officers. An IDS can act as a second line of defense to provide security analysts with the necessary insights into the nature of hostile activities. Therefore, a good understanding of IDSs helps administrators make informed decisions when it comes to ...
Bazara I. A. Barry, H. Anthony Chan
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A Deep Learning Approach for Network Intrusion Detection System
EAI Endorsed Trans. Security Safety, 2016 A Network Intrusion Detection System (NIDS) helps system administrators to detect network security breaches in their organizations. However, many challenges arise while developing a flexible and efficient NIDS for unforeseen and unpredictable ...
A. Javaid +3 more
semanticscholar +1 more source
Research on Wireless Sensor Network Intrusion Detection Technology
MATEC Web of Conferences, 2016 With the development of science and technology, wireless sensor network (WSN) has been widely used in all walks of life. The security problem of WSN has become a research hotspot.
Fan Qing Gang +4 more
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Oblivious network intrusion detection systems
Scientific Reports, 2023 AbstractA main function of network intrusion detection systems (NIDSs) is to monitor network traffic and match it against rules. Oblivious NIDSs (O-NIDS) perform the same tasks of NIDSs but they use encrypted rules and produce encrypted results without being able to decrypt the rules or the results.
Mahmoud AbdelHafeez Sayed, Mostafa Taha
openaire +3 more sources
Deep Stacking Network for Intrusion Detection
Sensors, 2021 Preventing network intrusion is the essential requirement of network security. In recent years, people have conducted a lot of research on network intrusion detection systems.
Yifan Tang, Lize Gu, Leiting Wang
doaj +1 more source
A Q-Learning-Based Two-Layer Cooperative Intrusion Detection for Internet of Drones System
Drones, 2023 The integration of unmanned aerial vehicles (UAVs) and the Internet of Things (IoT) has opened up new possibilities in various industries. However, with the increasing number of Internet of Drones (IoD) networks, the risk of network attacks is also ...
Moran Wu +5 more
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DL-IDS: Extracting Features Using CNN-LSTM Hybrid Network for Intrusion Detection System
Secur. Commun. Networks, 2020 Many studies utilized machine learning schemes to improve network intrusion detection systems recently. Most of the research is based on manually extracted features, but this approach not only requires a lot of labor costs but also loses a lot of ...
Pengfei Sun +6 more
semanticscholar +1 more source
Research on a PSO-H-SVM-Based Intrusion Detection Method for Industrial Robotic Arms
Applied Sciences, 2022 The automation and intelligence of industrial manufacturing is the core of the fourth industrial revolution, and robotic arms and proprietary networked information systems are an integral part of this vision.
Yulin Zhou, Lun Xie, Hang Pan
doaj +1 more source