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A survey of intrusion detection techniques in cloud
In this paper, we survey different intrusions affecting availability, confidentiality and integrity
of Cloud resources and services. Proposals incorporating Intrusion Detection Systems (IDS) …
of Cloud resources and services. Proposals incorporating Intrusion Detection Systems (IDS) …
The use of computational intelligence in intrusion detection systems: A review
Intrusion detection based upon computational intelligence is currently attracting
considerable interest from the research community. Characteristics of computational …
considerable interest from the research community. Characteristics of computational …
Advanced persistent threats (apt): evolution, anatomy, attribution and countermeasures
A Sharma, BB Gupta, AK Singh… - Journal of Ambient …, 2023 - Springer
In today's cyber warfare realm, every stakeholder in cyberspace is becoming more potent by
develo** advanced cyber weapons. They have equipped with the most advanced …
develo** advanced cyber weapons. They have equipped with the most advanced …
Network anomaly detection system using genetic algorithm and fuzzy logic
Due to the sheer number of applications that uses computer networks, in which some are
crucial to users and enterprises, network management is essential. Therefore, integrity and …
crucial to users and enterprises, network management is essential. Therefore, integrity and …
Performance comparison of intrusion detection systems and application of machine learning to Snort system
This study investigates the performance of two open source intrusion detection systems
(IDSs) namely Snort and Suricata for accurately detecting the malicious traffic on computer …
(IDSs) namely Snort and Suricata for accurately detecting the malicious traffic on computer …
An implementation of intrusion detection system using genetic algorithm
Nowadays it is very important to maintain a high level security to ensure safe and trusted
communication of information between various organizations. But secured data …
communication of information between various organizations. But secured data …
Effective intrusion detection system to secure data in cloud using machine learning
When adopting cloud computing, cybersecurity needs to be applied to detect and protect
against malicious intruders to improve the organization's capability against cyberattacks …
against malicious intruders to improve the organization's capability against cyberattacks …
Research trends in network-based intrusion detection systems: A review
Network threats and hazards are evolving at a high-speed rate in recent years. Many
mechanisms (such as firewalls, anti-virus, anti-malware, and spam filters) are being used as …
mechanisms (such as firewalls, anti-virus, anti-malware, and spam filters) are being used as …
Automatic network intrusion detection: Current techniques and open issues
Automatic network intrusion detection has been an important research topic for the last
20years. In that time, approaches based on signatures describing intrusive behavior have …
20years. In that time, approaches based on signatures describing intrusive behavior have …
[PDF][PDF] Denial-of-service, probing & remote to user (R2L) attack detection using genetic algorithm
S Paliwal, R Gupta - International Journal of Computer Applications, 2012 - Citeseer
Nowadays it is very important to maintain a high level security to ensure safe and trusted
communication of information between various organizations. But secured data …
communication of information between various organizations. But secured data …