The Experts below are selected from a list of 528 Experts worldwide ranked by ideXlab platform
Nick Antonopoulos - One of the best experts on this subject based on the ideXlab platform.
-
A Multi-layer hierarchical inter-cloud connectivity model for sequential packet inspection of tenant sessions accessing BI as a service
arXiv: Distributed Parallel and Cluster Computing, 2020Co-Authors: Hussain Al Aqrabi, Richard Hill, Lu Liu, Nick AntonopoulosAbstract:Business Intelligence (BI) has gained a new lease of life through Cloud computing as its demand for unlimited hardware and platform resources expandability is fulfilled by the Cloud elasticity features. BI can be seamlessly deployed on the Cloud given that its Multilayered model coincides with the Cloud multilayer models. It is considered by many Cloud service providers as one of the prominent applications services on public, outsourced private and outsourced community Clouds. However, in the shared domains of Cloud computing, BI is exposed to Security and privacy threats by virtue of exploits, eavesdropping, distributed attacks, malware attacks, and such other known challenges on Cloud computing. Given the multi-layered model of BI and Cloud computing, its protection on Cloud computing needs to be ensured through Multilayered controls. In this paper, a multi-layered Security and privacy model of BI as a service on Cloud computing is proposed through an algorithm for ensuring multi-level session inspections, and ensuring maximum Security controls at all the seven layers, and prevent an attack from occurring. This will not only reduce the risk of Security breaches, but allow an organisation time to detect, and respond to an attack. The simulations present the effects of distributed attacks on the BI systems by attackers posing as genuine Cloud tenants. The results reflect how the attackers are blocked by the Multilayered Security and privacy controls deployed for protecting the BI servers and databases
-
a multi layer hierarchical inter cloud connectivity model for sequential packet inspection of tenant sessions accessing bi as a service
High Performance Computing and Communications, 2014Co-Authors: Hussain Al Aqrabi, Richard Hill, Nick AntonopoulosAbstract:Business Intelligence (BI) has gained a new lease of life through Cloud computing as its demand for unlimited hardware and platform resources expandability is fulfilled by the Cloud elasticity features. BI can be seamlessly deployed on the Cloud given that its Multilayered model coincides with the Cloud models. It is considered by many Cloud service providers as one of the prominent applications services on public, outsourced private and outsourced community Clouds. However, in the shared domains of Cloud computing, BI is exposed to Security and privacy threats by virtue of exploits, eavesdropping, distributed attacks, malware attacks, and such other known challenges on Cloud computing. Given the multi-layered model of BI and Cloud computing, its protection on Cloud computing needs to be ensured through Multilayered controls. This paper proposed a multi-layered hierarchical inter-cloud connectivity model for sequential packet inspection of tenant sessions accessing BI as a service on cloud computing through an algorithm for ensuring multi-level session inspections, and ensuring maximum Security controls at all the seven layers, and prevent an attack from occurring. The simulations present the effects of distributed attacks on the BI systems by attackers posing as genuine Cloud tenants. The results reflect how the attackers are blocked by the Multilayered Security and privacy controls deployed for protecting the BI servers and databases.
-
HPCC/CSS/ICESS - A Multi-layer Hierarchical Inter-cloud Connectivity Model for Sequential Packet Inspection of Tenant Sessions Accessing BI as a Service
2014 IEEE Intl Conf on High Performance Computing and Communications 2014 IEEE 6th Intl Symp on Cyberspace Safety and Security 2014 IEEE 11th Intl Con, 2014Co-Authors: Hussain Al Aqrabi, Richard Hill, Lu Liu, Nick AntonopoulosAbstract:Business Intelligence (BI) has gained a new lease of life through Cloud computing as its demand for unlimited hardware and platform resources expandability is fulfilled by the Cloud elasticity features. BI can be seamlessly deployed on the Cloud given that its Multilayered model coincides with the Cloud models. It is considered by many Cloud service providers as one of the prominent applications services on public, outsourced private and outsourced community Clouds. However, in the shared domains of Cloud computing, BI is exposed to Security and privacy threats by virtue of exploits, eavesdropping, distributed attacks, malware attacks, and such other known challenges on Cloud computing. Given the multi-layered model of BI and Cloud computing, its protection on Cloud computing needs to be ensured through Multilayered controls. This paper proposed a multi-layered hierarchical inter-cloud connectivity model for sequential packet inspection of tenant sessions accessing BI as a service on cloud computing through an algorithm for ensuring multi-level session inspections, and ensuring maximum Security controls at all the seven layers, and prevent an attack from occurring. The simulations present the effects of distributed attacks on the BI systems by attackers posing as genuine Cloud tenants. The results reflect how the attackers are blocked by the Multilayered Security and privacy controls deployed for protecting the BI servers and databases.
Laurie J. Van Leuven - One of the best experts on this subject based on the ideXlab platform.
-
Water/Wastewater Infrastructure Security: Threats and Vulnerabilities
Handbook of Water and Wastewater Systems Protection, 2011Co-Authors: Laurie J. Van LeuvenAbstract:Protecting the nation’s critical infrastructure requires a Multilayered Security program tailored for each system and protective measures in the form of policies, procedures, and Security investments to reduce risks to critical infrastructure. Water and wastewater utilities are part of the water sector which is one of the 18 critical infrastructures as defined by homeland Security experts and officials. As of 2006, there were approximately 160,000 public drinking water utilities and more than 16,000 wastewater utilities in the USA. A high percentage of the US population receives potable water and sanitary sewer service from these utilities which are owned and/or managed by private, municipal, and special purpose districts, spread across thousands of jurisdictions from coast to coast. This chapter will examine why water infrastructure is so critical to the USA and describe why drinking water and wastewater systems need to be protected, what threats to consider, and identify the vulnerabilities that increase risks and leave assets susceptible to an attack or large-scale system failure. Hazards that could threaten and disable an entire system will be examined and vulnerabilities and the potential consequences of an intentional attack on a water system will be illustrated. Other issues to be discussed are the drivers for Security improvements and physical Security countermeasures available to prevent Security incidents and to protect against, prepare for, and respond to large-scale water system failure.
-
Water/Wastewater Infrastructure Security: A Multilayered Security Approach
Handbook of Water and Wastewater Systems Protection, 2011Co-Authors: Laurie J. Van LeuvenAbstract:Protecting critical water and wastewater infrastructure requires a Multilayered Security approach that includes policies, procedures, plans, protective countermeasures, training, exercises, relationships with intelligence agencies, and response capabilities. This chapter will identify common elements that drive Security investments encompassing everything from a calculated risk-based approach to the gut reactions of operators who understand the consequences of a significant asset failure. This chapter will also describe available countermeasures and physical Security investments designed to deter, delay, detect, assess, and respond to Security incidents. The chapter wraps up with a synopsis of recommended programmatic components to ensure a comprehensive, Multilayered Security approach to protecting drinking water and wastewater systems.
-
water wastewater infrastructure Security a Multilayered Security approach
2011Co-Authors: Laurie J. Van LeuvenAbstract:Protecting critical water and wastewater infrastructure requires a Multilayered Security approach that includes policies, procedures, plans, protective countermeasures, training, exercises, relationships with intelligence agencies, and response capabilities. This chapter will identify common elements that drive Security investments encompassing everything from a calculated risk-based approach to the gut reactions of operators who understand the consequences of a significant asset failure. This chapter will also describe available countermeasures and physical Security investments designed to deter, delay, detect, assess, and respond to Security incidents. The chapter wraps up with a synopsis of recommended programmatic components to ensure a comprehensive, Multilayered Security approach to protecting drinking water and wastewater systems.
Hussain Al Aqrabi - One of the best experts on this subject based on the ideXlab platform.
-
A Multi-layer hierarchical inter-cloud connectivity model for sequential packet inspection of tenant sessions accessing BI as a service
arXiv: Distributed Parallel and Cluster Computing, 2020Co-Authors: Hussain Al Aqrabi, Richard Hill, Lu Liu, Nick AntonopoulosAbstract:Business Intelligence (BI) has gained a new lease of life through Cloud computing as its demand for unlimited hardware and platform resources expandability is fulfilled by the Cloud elasticity features. BI can be seamlessly deployed on the Cloud given that its Multilayered model coincides with the Cloud multilayer models. It is considered by many Cloud service providers as one of the prominent applications services on public, outsourced private and outsourced community Clouds. However, in the shared domains of Cloud computing, BI is exposed to Security and privacy threats by virtue of exploits, eavesdropping, distributed attacks, malware attacks, and such other known challenges on Cloud computing. Given the multi-layered model of BI and Cloud computing, its protection on Cloud computing needs to be ensured through Multilayered controls. In this paper, a multi-layered Security and privacy model of BI as a service on Cloud computing is proposed through an algorithm for ensuring multi-level session inspections, and ensuring maximum Security controls at all the seven layers, and prevent an attack from occurring. This will not only reduce the risk of Security breaches, but allow an organisation time to detect, and respond to an attack. The simulations present the effects of distributed attacks on the BI systems by attackers posing as genuine Cloud tenants. The results reflect how the attackers are blocked by the Multilayered Security and privacy controls deployed for protecting the BI servers and databases
-
a multi layer hierarchical inter cloud connectivity model for sequential packet inspection of tenant sessions accessing bi as a service
High Performance Computing and Communications, 2014Co-Authors: Hussain Al Aqrabi, Richard Hill, Nick AntonopoulosAbstract:Business Intelligence (BI) has gained a new lease of life through Cloud computing as its demand for unlimited hardware and platform resources expandability is fulfilled by the Cloud elasticity features. BI can be seamlessly deployed on the Cloud given that its Multilayered model coincides with the Cloud models. It is considered by many Cloud service providers as one of the prominent applications services on public, outsourced private and outsourced community Clouds. However, in the shared domains of Cloud computing, BI is exposed to Security and privacy threats by virtue of exploits, eavesdropping, distributed attacks, malware attacks, and such other known challenges on Cloud computing. Given the multi-layered model of BI and Cloud computing, its protection on Cloud computing needs to be ensured through Multilayered controls. This paper proposed a multi-layered hierarchical inter-cloud connectivity model for sequential packet inspection of tenant sessions accessing BI as a service on cloud computing through an algorithm for ensuring multi-level session inspections, and ensuring maximum Security controls at all the seven layers, and prevent an attack from occurring. The simulations present the effects of distributed attacks on the BI systems by attackers posing as genuine Cloud tenants. The results reflect how the attackers are blocked by the Multilayered Security and privacy controls deployed for protecting the BI servers and databases.
-
HPCC/CSS/ICESS - A Multi-layer Hierarchical Inter-cloud Connectivity Model for Sequential Packet Inspection of Tenant Sessions Accessing BI as a Service
2014 IEEE Intl Conf on High Performance Computing and Communications 2014 IEEE 6th Intl Symp on Cyberspace Safety and Security 2014 IEEE 11th Intl Con, 2014Co-Authors: Hussain Al Aqrabi, Richard Hill, Lu Liu, Nick AntonopoulosAbstract:Business Intelligence (BI) has gained a new lease of life through Cloud computing as its demand for unlimited hardware and platform resources expandability is fulfilled by the Cloud elasticity features. BI can be seamlessly deployed on the Cloud given that its Multilayered model coincides with the Cloud models. It is considered by many Cloud service providers as one of the prominent applications services on public, outsourced private and outsourced community Clouds. However, in the shared domains of Cloud computing, BI is exposed to Security and privacy threats by virtue of exploits, eavesdropping, distributed attacks, malware attacks, and such other known challenges on Cloud computing. Given the multi-layered model of BI and Cloud computing, its protection on Cloud computing needs to be ensured through Multilayered controls. This paper proposed a multi-layered hierarchical inter-cloud connectivity model for sequential packet inspection of tenant sessions accessing BI as a service on cloud computing through an algorithm for ensuring multi-level session inspections, and ensuring maximum Security controls at all the seven layers, and prevent an attack from occurring. The simulations present the effects of distributed attacks on the BI systems by attackers posing as genuine Cloud tenants. The results reflect how the attackers are blocked by the Multilayered Security and privacy controls deployed for protecting the BI servers and databases.
Richard Hill - One of the best experts on this subject based on the ideXlab platform.
-
A Multi-layer hierarchical inter-cloud connectivity model for sequential packet inspection of tenant sessions accessing BI as a service
arXiv: Distributed Parallel and Cluster Computing, 2020Co-Authors: Hussain Al Aqrabi, Richard Hill, Lu Liu, Nick AntonopoulosAbstract:Business Intelligence (BI) has gained a new lease of life through Cloud computing as its demand for unlimited hardware and platform resources expandability is fulfilled by the Cloud elasticity features. BI can be seamlessly deployed on the Cloud given that its Multilayered model coincides with the Cloud multilayer models. It is considered by many Cloud service providers as one of the prominent applications services on public, outsourced private and outsourced community Clouds. However, in the shared domains of Cloud computing, BI is exposed to Security and privacy threats by virtue of exploits, eavesdropping, distributed attacks, malware attacks, and such other known challenges on Cloud computing. Given the multi-layered model of BI and Cloud computing, its protection on Cloud computing needs to be ensured through Multilayered controls. In this paper, a multi-layered Security and privacy model of BI as a service on Cloud computing is proposed through an algorithm for ensuring multi-level session inspections, and ensuring maximum Security controls at all the seven layers, and prevent an attack from occurring. This will not only reduce the risk of Security breaches, but allow an organisation time to detect, and respond to an attack. The simulations present the effects of distributed attacks on the BI systems by attackers posing as genuine Cloud tenants. The results reflect how the attackers are blocked by the Multilayered Security and privacy controls deployed for protecting the BI servers and databases
-
a multi layer hierarchical inter cloud connectivity model for sequential packet inspection of tenant sessions accessing bi as a service
High Performance Computing and Communications, 2014Co-Authors: Hussain Al Aqrabi, Richard Hill, Nick AntonopoulosAbstract:Business Intelligence (BI) has gained a new lease of life through Cloud computing as its demand for unlimited hardware and platform resources expandability is fulfilled by the Cloud elasticity features. BI can be seamlessly deployed on the Cloud given that its Multilayered model coincides with the Cloud models. It is considered by many Cloud service providers as one of the prominent applications services on public, outsourced private and outsourced community Clouds. However, in the shared domains of Cloud computing, BI is exposed to Security and privacy threats by virtue of exploits, eavesdropping, distributed attacks, malware attacks, and such other known challenges on Cloud computing. Given the multi-layered model of BI and Cloud computing, its protection on Cloud computing needs to be ensured through Multilayered controls. This paper proposed a multi-layered hierarchical inter-cloud connectivity model for sequential packet inspection of tenant sessions accessing BI as a service on cloud computing through an algorithm for ensuring multi-level session inspections, and ensuring maximum Security controls at all the seven layers, and prevent an attack from occurring. The simulations present the effects of distributed attacks on the BI systems by attackers posing as genuine Cloud tenants. The results reflect how the attackers are blocked by the Multilayered Security and privacy controls deployed for protecting the BI servers and databases.
-
HPCC/CSS/ICESS - A Multi-layer Hierarchical Inter-cloud Connectivity Model for Sequential Packet Inspection of Tenant Sessions Accessing BI as a Service
2014 IEEE Intl Conf on High Performance Computing and Communications 2014 IEEE 6th Intl Symp on Cyberspace Safety and Security 2014 IEEE 11th Intl Con, 2014Co-Authors: Hussain Al Aqrabi, Richard Hill, Lu Liu, Nick AntonopoulosAbstract:Business Intelligence (BI) has gained a new lease of life through Cloud computing as its demand for unlimited hardware and platform resources expandability is fulfilled by the Cloud elasticity features. BI can be seamlessly deployed on the Cloud given that its Multilayered model coincides with the Cloud models. It is considered by many Cloud service providers as one of the prominent applications services on public, outsourced private and outsourced community Clouds. However, in the shared domains of Cloud computing, BI is exposed to Security and privacy threats by virtue of exploits, eavesdropping, distributed attacks, malware attacks, and such other known challenges on Cloud computing. Given the multi-layered model of BI and Cloud computing, its protection on Cloud computing needs to be ensured through Multilayered controls. This paper proposed a multi-layered hierarchical inter-cloud connectivity model for sequential packet inspection of tenant sessions accessing BI as a service on cloud computing through an algorithm for ensuring multi-level session inspections, and ensuring maximum Security controls at all the seven layers, and prevent an attack from occurring. The simulations present the effects of distributed attacks on the BI systems by attackers posing as genuine Cloud tenants. The results reflect how the attackers are blocked by the Multilayered Security and privacy controls deployed for protecting the BI servers and databases.
Dimitrios D Vergados - One of the best experts on this subject based on the ideXlab platform.
-
Security architecture based on defense in depth for Cloud Computing environment
2016 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), 2016Co-Authors: Theodoros Mavroeidakos, Angelos Michalas, Dimitrios D VergadosAbstract:Cloud Computing constitutes an emerging computing paradigm consisting of elements of grid computing, utility computing and software-defined networks. The aggregation of these technologies offers a new environment for the deployment of services. Cloud computing environment provides capabilities which are unique covering the existing and future needs of organizations and companies. Moreover, this environment supports big data applications usually forming the core elements of research projects. Therefore cloud computing technology and big data are linked to each other. However, the capabilities of cloud computing environment create challenges concerning the Security of data applications and its systems. In this respect, Security issues are present on big data applications. By adopting the cloud computing environment, the provider has to incorporate Security systems and policies in its infrastructure in order to mitigate the Security threats. In this paper, Multilayered Security architecture is defined based on defense in depth. In this architecture the cloud infrastructure is divided into defense zones to achieve better Security control. Additionally, intrusion detection system (IDS), honeypots and firewalls are incorporated alongside the defense mechanisms of the cloud infrastructure. In this way, a secure architecture is applied in which the end service is provided uninterrupted, while control over the level of Security is maintained.
-
INFOCOM Workshops - Security architecture based on defense in depth for Cloud Computing environment
2016 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), 2016Co-Authors: Theodoros Mavroeidakos, Angelos Michalas, Dimitrios D VergadosAbstract:Cloud Computing constitutes an emerging computing paradigm consisting of elements of grid computing, utility computing and software-defined networks. The aggregation of these technologies offers a new environment for the deployment of services. Cloud computing environment provides capabilities which are unique covering the existing and future needs of organizations and companies. Moreover, this environment supports big data applications usually forming the core elements of research projects. Therefore cloud computing technology and big data are linked to each other. However, the capabilities of cloud computing environment create challenges concerning the Security of data applications and its systems. In this respect, Security issues are present on big data applications. By adopting the cloud computing environment, the provider has to incorporate Security systems and policies in its infrastructure in order to mitigate the Security threats. In this paper, Multilayered Security architecture is defined based on defense in depth. In this architecture the cloud infrastructure is divided into defense zones to achieve better Security control. Additionally, intrusion detection system (IDS), honeypots and firewalls are incorporated alongside the defense mechanisms of the cloud infrastructure. In this way, a secure architecture is applied in which the end service is provided uninterrupted, while control over the level of Security is maintained.