Security insurance of cloud computing services through cross roads of human-immune and intrusion-detection systems

2018 ◽  
Author(s):  
Hamza Hammami ◽  
Hanen Brahmi ◽  
Sadok Ben Yahia
Keyword(s):  
Cloud Computing ◽  
Intrusion Detection ◽  
Intrusion Detection Systems ◽  
Detection Systems ◽  
Computing Services ◽  
Cloud Computing Services ◽  
Human Immune

A Review of Intrusion Detection Systems in Cloud Computing

2019 ◽  
pp. 54-83
Author(s):  
Chiba Zouhair ◽  
Noreddine Abghour ◽  
Khalid Moussaid ◽  
Amina El Omri ◽  
Mohamed Rida
Keyword(s):  
Cloud Computing ◽  
Intrusion Detection ◽  
Detection System ◽  
Security Requirements ◽  
Intrusion Detection Systems ◽  
Cloud Environment ◽  
Detection Techniques ◽  
Detection Systems ◽  
Cloud Architecture ◽  
Data Source

Security is a major challenge faced by cloud computing (CC) due to its open and distributed architecture. Hence, it is vulnerable and prone to intrusions that affect confidentiality, availability, and integrity of cloud resources and offered services. Intrusion detection system (IDS) has become the most commonly used component of computer system security and compliance practices that defends cloud environment from various kinds of threats and attacks. This chapter presents the cloud architecture, an overview of different intrusions in the cloud, the challenges and essential characteristics of cloud-based IDS (CIDS), and detection techniques used by CIDS and their types. Then, the authors analyze 24 pertinent CIDS with respect to their various types, positioning, detection time, and data source. The analysis also gives the strength of each system and limitations in order to evaluate whether they carry out the security requirements of CC environment or not.

scholarly journals Danger Theory Based Hybrid Intrusion Detection Systems for Cloud Computing

2013 ◽  
pp. 650-654 ◽  
Author(s):  
Azuan Ahmad ◽  
Bharanidharan Shanmugam ◽  
Norbik Bashah Idris ◽  
Ganthan Nayarana Samy ◽  
Sameer Hasan AlBakri
Keyword(s):  
Cloud Computing ◽  
Intrusion Detection ◽  
Intrusion Detection Systems ◽  
Danger Theory ◽  
Detection Systems

A Review of Intrusion Detection Systems in Cloud Computing

2018 ◽  
pp. 253-283 ◽  
Author(s):  
Chiba Zouhair ◽  
Noreddine Abghour ◽  
Khalid Moussaid ◽  
Amina El Omri ◽  
Mohamed Rida
Keyword(s):  
Cloud Computing ◽  
Intrusion Detection ◽  
Detection System ◽  
Security Requirements ◽  
Intrusion Detection Systems ◽  
Cloud Environment ◽  
Detection Techniques ◽  
Detection Systems ◽  
Cloud Architecture ◽  
Data Source

Security is a major challenge faced by cloud computing (CC) due to its open and distributed architecture. Hence, it is vulnerable and prone to intrusions that affect confidentiality, availability, and integrity of cloud resources and offered services. Intrusion detection system (IDS) has become the most commonly used component of computer system security and compliance practices that defends cloud environment from various kinds of threats and attacks. This chapter presents the cloud architecture, an overview of different intrusions in the cloud, the challenges and essential characteristics of cloud-based IDS (CIDS), and detection techniques used by CIDS and their types. Then, the authors analyze 24 pertinent CIDS with respect to their various types, positioning, detection time, and data source. The analysis also gives the strength of each system and limitations in order to evaluate whether they carry out the security requirements of CC environment or not.

Anomaly Detection in Cloud Computing and Internet of Things Environments

2021 ◽  
pp. 811-823
Author(s):  
Rachid Cherkaoui ◽  
Mostapha Zbakh ◽  
An Braeken ◽  
Abdellah Touhafi
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Anomaly Detection ◽  
Detection Techniques ◽  
Security Issues ◽  
Detection Systems ◽  
Iot Applications ◽  
Computing Services ◽  
Efficient Integration ◽  
Cloud Computing Services

This chapter contains the state of the art of the latest security issues of cloud computing as well as security issues of internet of things (IoT) applications. It discusses the integration of IoT platforms with cloud computing services, security of the hosted data, intrusion and anomaly detection techniques used to detect attacks in virtualized networks. The chapter also discusses some of the lightweight anomaly detection techniques to use in integrated constrained devices' ecosystems with cloud computing environments. This chapter focuses on efficient integration of cloud hosting with IoT applications as well as integration of lightweight intrusion detection systems in the latter environments.

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