scholarly journals Zero Trust Access Control with Context-Aware and Behavior-Based Continuous Authentication for Smart Homes

2021 ◽  
Author(s):  
Giovanni R. da Silva ◽  
Daniel F. Macedo ◽  
Aldri L. dos Santos
Keyword(s):  
Cloud Computing ◽  
Markov Chain ◽  
Access Control ◽  
Smart Home ◽  
Intrusion Detection Systems ◽  
Context Aware ◽  
Detection Systems ◽  
Continuous Authentication ◽  
And Behavior ◽  
Activity Information

Generally, approaches to build the security of Smart Home Systems (SHS) require big amount of data to implement Access Control and Intrusion Detection Systems, with storage in cloud, for instance, being a vulnerability to inhabitants privacy. Besides, most works rely on cloud computing or resources in the cloud to perform security tasks, what can be exploited by attackers. This work presents the ZASH (Zero-Aware Smart Home System), an Access Control for SHS. ZASH uses Continuous Authentication with Zero Trust, supported by real-time context and activity information, enabled by Edge Computing and Markov Chain, to prevent and mitigate impersonation attacks that aim to invade inhabitants privacy. An experimental evaluation demonstrated the system capability to dynamically adapt to new inhabitants behaviors withal blocking impersonation attacks.

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.

Multifractal Singularity Spectrum for Cognitive Cyber Defence in Internet Time Series

2015 ◽  
Vol 7 (3) ◽  
pp. 17-45 ◽  
Author(s):  
Muhammad Salman Khan ◽  
Ken Ferens ◽  
Witold Kinsner
Keyword(s):  
Time Series ◽  
Cloud Computing ◽  
Cyber Security ◽  
Intrusion Detection Systems ◽  
Financial Fraud ◽  
The Internet ◽  
Singularity Spectrum ◽  
Security Systems ◽  
Detection Systems ◽  
Computing Platforms

Growing global dependence over cyberspace has given rise to intelligent malicious threats due to increasing network complexities, inherent vulnerabilities embedded within the software and the limitations of existing cyber security systems to name a few. Malicious cyber actors exploit these vulnerabilities to carry out financial fraud, steal intellectual property and disrupt the delivery of essential online services. Unlike physical security, cyberspace is very difficult to secure due to the replacement of traditional computing platforms with sophisticated cloud computing and virtualization. These complex systems exhibit an increasing degree of complexity in tracking an attack or monitoring possible threats which is becoming intractable with the existing security firewalls and intrusion detection systems. In this paper, authors present a novel complexity detection technique using generalized multifractal singularity spectrum which is able to not only capture the growing complexity of the internet time series but also distinguishes the presence of an attack accurately.

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.

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