[HTML][HTML] A systematic review of defensive and offensive cybersecurity with machine learning
This is a systematic review of over one hundred research papers about machine learning
methods applied to defensive and offensive cybersecurity. In contrast to previous reviews …
methods applied to defensive and offensive cybersecurity. In contrast to previous reviews …
A survey of link flooding attacks in software defined network ecosystems
Abstract Link Flooding Attacks (LFA) are a devastating type of stealthy denial of service
attack that congests critical network links and can completely isolate the victim's network. In …
attack that congests critical network links and can completely isolate the victim's network. In …
A taxonomy of network threats and the effect of current datasets on intrusion detection systems
As the world moves towards being increasingly dependent on computers and automation,
building secure applications, systems and networks are some of the main challenges faced …
building secure applications, systems and networks are some of the main challenges faced …
Voting extreme learning machine based distributed denial of service attack detection in cloud computing
GS Kushwah, V Ranga - Journal of Information Security and Applications, 2020 - Elsevier
Distributed denial of service attack is one of the most dangerous attacks in cloud computing.
This attack makes the cloud services inaccessible to the end-users by exhausting resources …
This attack makes the cloud services inaccessible to the end-users by exhausting resources …
[HTML][HTML] Benchmark-based reference model for evaluating botnet detection tools driven by traffic-flow analytics
KS Huancayo Ramos, MA Sotelo Monge… - Sensors, 2020 - mdpi.com
Botnets are some of the most recurrent cyber-threats, which take advantage of the wide
heterogeneity of endpoint devices at the Edge of the emerging communication environments …
heterogeneity of endpoint devices at the Edge of the emerging communication environments …
Implementation of adaptive scheme in evolutionary technique for anomaly-based intrusion detection
Intrusion detection has become important to network security because of the increasing
connectivity between computers and internet. Various Intrusion Detection Systems have …
connectivity between computers and internet. Various Intrusion Detection Systems have …
An effect of chaos grasshopper optimization algorithm for protection of network infrastructure
Due to the proliferation of sophisticated cyber extortion with exponentially critical effects,
intrusion detection system is being evolved systematically their revealing, understanding …
intrusion detection system is being evolved systematically their revealing, understanding …
Artificial immune systems and fuzzy logic to detect flooding attacks in software-defined networks
GF Scaranti, LF Carvalho, S Barbon… - IEEE Access, 2020 - ieeexplore.ieee.org
Software-defined Networking (SDN) has been discovered as an architecture that uses
applications to make networks flexible and centrally controlled. Although SDN provides …
applications to make networks flexible and centrally controlled. Although SDN provides …
Incorporating evolutionary computation for securing wireless network against cyberthreats
Due to the rapid growth of internet services, the demand for protection and security of the
network against sophisticated attacks is continuously increasing. Nowadays, in network …
network against sophisticated attacks is continuously increasing. Nowadays, in network …
Sok: A taxonomy for anomaly detection in wireless sensor networks focused on node-level techniques
Wireless sensor networks play an important role in today's world: When measuring physical
conditions, the quality of the sensor readings ultimately impacts the quality of various data …
conditions, the quality of the sensor readings ultimately impacts the quality of various data …