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Detecting and preventing cyber insider threats: A survey
Information communications technology systems are facing an increasing number of cyber
security threats, the majority of which are originated by insiders. As insiders reside behind …
security threats, the majority of which are originated by insiders. As insiders reside behind …
Defense mechanisms against DDoS attacks in a cloud computing environment: State-of-the-art and research challenges
N Agrawal, S Tapaswi - IEEE Communications Surveys & …, 2019 - ieeexplore.ieee.org
The salient features of cloud computing (such as on-demand self-service, resource pooling,
broad network access, rapid elasticity, and measured service) are being exploited by …
broad network access, rapid elasticity, and measured service) are being exploited by …
A flexible SDN-based architecture for identifying and mitigating low-rate DDoS attacks using machine learning
While there have been extensive studies of denial of service (DoS) attacks and DDoS attack
mitigation, such attacks remain challenging to mitigate. For example, Low-Rate DDoS (LR …
mitigation, such attacks remain challenging to mitigate. For example, Low-Rate DDoS (LR …
A survey of distributed denial-of-service attack, prevention, and mitigation techniques
Distributed denial-of-service is one kind of the most highlighted and most important attacks
of today's cyberworld. With simple but extremely powerful attack mechanisms, it introduces …
of today's cyberworld. With simple but extremely powerful attack mechanisms, it introduces …
Low-rate DoS attacks, detection, defense, and challenges: A survey
W Zhijun, L Wen**g, L Liang, Y Meng - IEEE access, 2020 - ieeexplore.ieee.org
Low-rate Denial of service (LDoS) attacks has become one of the biggest threats to the
Internet, cloud computing platforms, and big data centers. As an evolutionary species of …
Internet, cloud computing platforms, and big data centers. As an evolutionary species of …
Explainable AI-based DDOS attack identification method for IoT networks
The modern digitized world is mainly dependent on online services. The availability of
online systems continues to be seriously challenged by distributed denial of service (DDoS) …
online systems continues to be seriously challenged by distributed denial of service (DDoS) …
[HTML][HTML] An entropy-based network anomaly detection method
Data mining is an interdisciplinary subfield of computer science involving methods at the
intersection of artificial intelligence, machine learning and statistics. One of the data mining …
intersection of artificial intelligence, machine learning and statistics. One of the data mining …
[HTML][HTML] A survey of low rate ddos detection techniques based on machine learning in software-defined networks
Software-defined networking (SDN) is a new networking paradigm that provides centralized
control, programmability, and a global view of topology in the controller. SDN is becoming …
control, programmability, and a global view of topology in the controller. SDN is becoming …
An early detection of low rate DDoS attack to SDN based data center networks using information distance metrics
The primary innovations behind Software Defined Networks (SDN) are the decoupling of the
control plane from the data plane and centralizing the network management through a …
control plane from the data plane and centralizing the network management through a …
An SDN-based intrusion detection system using SVM with selective logging for IP traceback
In this paper we introduce a Software Defined Networking (SDN) based Intrusion Detection
System (IDS) using the Support Vector Machines (SVM) along with Selective Logging for IP …
System (IDS) using the Support Vector Machines (SVM) along with Selective Logging for IP …