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Smart anomaly detection in sensor systems: A multi-perspective review
Anomaly detection is concerned with identifying data patterns that deviate remarkably from
the expected behavior. This is an important research problem, due to its broad set of …
the expected behavior. This is an important research problem, due to its broad set of …
Intrusion detection systems: A cross-domain overview
Nowadays, network technologies are essential for transferring and storing various
information of users, companies, and industries. However, the growth of the information …
information of users, companies, and industries. However, the growth of the information …
[HTML][HTML] Anomaly network-based intrusion detection system using a reliable hybrid artificial bee colony and AdaBoost algorithms
Intrusion detection systems (IDSs) has been considered as the main component of a safe
network. One of the problems of these security systems is false alarm report of intrusion to …
network. One of the problems of these security systems is false alarm report of intrusion to …
Multilayer framework for botnet detection using machine learning algorithms
A botnet is a malware program that a hacker remotely controls called a botmaster. Botnet
can perform massive cyber-attacks such as DDOS, SPAM, click-fraud, information, and …
can perform massive cyber-attacks such as DDOS, SPAM, click-fraud, information, and …
DDoS attack dataset (CICEV2023) against EV authentication in charging infrastructure
Denial-of-Service (DoS) or Distributed DoS (DDoS) attacks are on the rise in smart grid-
based electric vehicle (EV) charging facilities. To develop effective mitigation solutions …
based electric vehicle (EV) charging facilities. To develop effective mitigation solutions …
Sin-Cos-bIAVOA: A new feature selection method based on improved African vulture optimization algorithm and a novel transfer function to DDoS attack detection
Abstract Internet of Things (IoT) services and devices have raised numerous challenges
such as connectivity, computation, and security. Therefore, networks should provide and …
such as connectivity, computation, and security. Therefore, networks should provide and …
AI-assisted Computer Network Operations testbed for Nature-Inspired Cyber Security based adaptive defense simulation and analysis
In the current ever-changing cybersecurity scenario, active cyber defense strategies are
imperative. In this work, we present a standard testbed to measure the efficacy and efficiency …
imperative. In this work, we present a standard testbed to measure the efficacy and efficiency …
Botnet business models, takedown attempts, and the darkweb market: A survey
Botnets account for a substantial portion of cybercrime. Botmasters utilize darkweb
marketplaces to promote and provide their services, which can vary from renting or buying a …
marketplaces to promote and provide their services, which can vary from renting or buying a …
Defense against distributed DoS attack detection by using intelligent evolutionary algorithm
Modern society is prominently dependent on information and communication technology
over the last few decades has carried it with more vulnerability to an enormous variety of …
over the last few decades has carried it with more vulnerability to an enormous variety of …
Real-time detection schemes for memory DoS (M-DoS) attacks on cloud computing applications
Memory Denial of Service (M-DoS) attacks refer to a class of cyber-attacks that aim to
exhaust the memory resources of a system, rendering it unavailable to legitimate users. This …
exhaust the memory resources of a system, rendering it unavailable to legitimate users. This …