Development and Evaluation of Ensemble Learning Models for Detection of DDOS Attacks in IoT
Internet of Things that process tremendous confidential data have difficulty performing traditional security algorithms, thus their security is at risk.
Selim Buyrukoğlu, Yıldıran Yılmaz
doaj +1 more source
Impact of Defending Strategy Decision on DDoS Attack
Distributed denial-of-service (DDoS) attack is a serious threat to cybersecurity. Many strategies used to defend against DDoS attacks have been proposed recently.
Chunming Zhang
doaj +1 more source
Entropy based features distribution for anti-DDoS model in SDN [PDF]
In modern network infrastructure, Distributed Denial of Service (DDoS) attacks are considered as severe network security threats. For conventional network security tools it is extremely difficult to distinguish between the higher traffic volume of a DDoS
Zeeshan Pervez +13 more
core +1 more source
Efficient and Flexible Role-Based Access Control (EFRBAC) Mechanism for Cloud [PDF]
The cloud reduces the user’s burden to many folds. But cloud providers and cloud users with dynamic relationship, are in distinct security domains. Amongst various challenges with cloud, the crucial one is to detect and protect the user’s data from ...
Shilpi Harnal, R.K. Chauhan
doaj +1 more source
A Low-Cost Distributed Denial-of-Service Attack Architecture
With the advent of Internet-of-Things (IoT) age, IoT-based distributed denial-of-service (DDoS) attacks have become the mainstream of DDoS attacks. This paper is devoted to exploring the possibility of launching an IoT-based DDoS attack at an extremely ...
Kaifan Huang +4 more
doaj +1 more source
AFault Tolerant Multi-Controller Framework for SDN DDoS Attacks Detection [PDF]
Network communication shows a variety of issues with the fast expansion of computer devices, ranging from network administration to traffic engineering. A well-known method for improving these connections is Software-Defined Networking (SDN).
Parisa Valizadeh, Ahmad Taghinezhad-Niar
doaj +1 more source
ANALISIS STATISTIK LOG JARINGAN UNTUK DETEKSI SERANGAN DDOS BERBASIS NEURAL NETWORK
Distributed denial-of-service (DDoS) merupakan jenis serangan dengan volume, intensitas, dan biaya mitigasi yang terus meningkat seiring berkembangnya skala organisasi.
Arif Wirawan Muhammad
doaj +1 more source
A Feature Analysis Based Identifying Scheme Using GBDT for DDoS with Multiple Attack Vectors
In recent years, distributed denial of service (DDoS) attacks have increasingly shown the trend of multiattack vector composites, which has significantly improved the concealment and success rate of DDoS attacks.
Jian Zhang, Qidi Liang, Rui Jiang, Xi Li
doaj +1 more source
SecHMS- A Secure Hybrid Monitoring Scheme for Cloud Data Monitoring [PDF]
Cloud computing enables the data owners to store and host their data on the cloud storage servers, which is to accessed by data consumers from the cloud storage servers whenever needed.
Anuj Yadav, Ritika Ritika, M. Garg
doaj +1 more source
До проблеми формування набору даних для дослідження DDoS-атак [PDF]
В роботі розглянуто підходи щодо перевірки запропонованих методів виявлення атак. Проаналізовано наявні набори даних, які використовуються для створення систем виявлення DDoS-атак.
Кульчицький, Б. В. +3 more
core +1 more source

