The document provides an introduction to cloud security, including a review of cloud computing, a discussion of common security challenges in cloud environments, and an overview of the top threats to cloud computing. It describes key characteristics of cloud computing like on-demand access and elastic resources, and different cloud service models including infrastructure as a service, platform as a service, and software as a service. Security issues related to virtualization, multi-tenancy, and the use of application programming interfaces are also discussed.
Cloud and Virtualization (Using Virtualization to form Clouds)Rubal Sagwal
-Cloud
-Underlying technology pieces from which cloud computing -Infrastructure is built
-Characteristics of Cloud
-Types of cloud services (SaaS, IaaS and PaaS)
-Cloud deployment models
-Virtualization
-Using Virtualization to form Clouds
Cloud computing is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources that can be rapidly provisioned and released with minimal management effort or service provider interaction. Key characteristics of cloud computing include on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. Common uses of cloud computing involve hosting applications and services through major cloud platforms like Amazon Web Services, Microsoft Azure, and Google Cloud.
This document discusses current security issues for cloud computing. It begins by defining cloud computing and describing its key characteristics and delivery models. It then outlines the main security problems which stem from loss of control, lack of trust, and multi-tenancy in cloud environments. Specifically, it examines issues relating to network security, data security, virtualization, interfaces, and governance in cloud computing. It concludes that while cloud computing provides scalable resources, it also introduces both traditional and new security threats for users.
Virtualization allows multiple operating systems to run on a single physical system by sharing hardware resources. It is used to improve efficiency and reduce costs. A virtual machine (VM) isolates a guest operating system and applications. The hypervisor controls host resources and allocates them to VMs. Benefits include resource sharing, isolation, hardware independence, and portability. Cloud computing takes virtualization further by offering on-demand resources over the internet. Security challenges include the large trusted computing base of the hypervisor. Solutions aim to reduce the TCB by removing the hypervisor or isolating its functions in hardware and management software.
Virtualization allows multiple operating systems to run on a single physical system by sharing hardware resources. It is used to improve efficiency and reduce costs. A virtual machine (VM) isolates a guest operating system and applications. The hypervisor controls host resources and allocates them to VMs. Benefits include resource sharing, isolation, hardware independence, and portability. Cloud computing takes virtualization further by offering on-demand resources over the internet. Security challenges include the large trusted computing base of the hypervisor. Solutions aim to reduce the TCB by removing the hypervisor or isolating its functions in hardware and management software.
Virtualization allows multiple operating systems to run on a single physical system by sharing hardware resources. It works by hosting the appearance of many computers within a single physical system. A hypervisor controls the host processor and resources, allocating what is needed to each virtual machine operating system. Virtualization provides benefits like cost reduction through resource sharing, isolation of virtual machines, hardware independence, and portability of virtual machines. Security challenges exist because the trusted computing base of a virtual machine is large since it includes the hypervisor. Efforts aim to reduce the trusted computing base by removing the hypervisor through techniques like direct hardware access and pre-allocating resources to virtual machines.
Cloud and Virtualization (Using Virtualization to form Clouds)Rubal Sagwal
-Cloud
-Underlying technology pieces from which cloud computing -Infrastructure is built
-Characteristics of Cloud
-Types of cloud services (SaaS, IaaS and PaaS)
-Cloud deployment models
-Virtualization
-Using Virtualization to form Clouds
Cloud computing is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources that can be rapidly provisioned and released with minimal management effort or service provider interaction. Key characteristics of cloud computing include on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. Common uses of cloud computing involve hosting applications and services through major cloud platforms like Amazon Web Services, Microsoft Azure, and Google Cloud.
This document discusses current security issues for cloud computing. It begins by defining cloud computing and describing its key characteristics and delivery models. It then outlines the main security problems which stem from loss of control, lack of trust, and multi-tenancy in cloud environments. Specifically, it examines issues relating to network security, data security, virtualization, interfaces, and governance in cloud computing. It concludes that while cloud computing provides scalable resources, it also introduces both traditional and new security threats for users.
Virtualization allows multiple operating systems to run on a single physical system by sharing hardware resources. It is used to improve efficiency and reduce costs. A virtual machine (VM) isolates a guest operating system and applications. The hypervisor controls host resources and allocates them to VMs. Benefits include resource sharing, isolation, hardware independence, and portability. Cloud computing takes virtualization further by offering on-demand resources over the internet. Security challenges include the large trusted computing base of the hypervisor. Solutions aim to reduce the TCB by removing the hypervisor or isolating its functions in hardware and management software.
Virtualization allows multiple operating systems to run on a single physical system by sharing hardware resources. It is used to improve efficiency and reduce costs. A virtual machine (VM) isolates a guest operating system and applications. The hypervisor controls host resources and allocates them to VMs. Benefits include resource sharing, isolation, hardware independence, and portability. Cloud computing takes virtualization further by offering on-demand resources over the internet. Security challenges include the large trusted computing base of the hypervisor. Solutions aim to reduce the TCB by removing the hypervisor or isolating its functions in hardware and management software.
Virtualization allows multiple operating systems to run on a single physical system by sharing hardware resources. It works by hosting the appearance of many computers within a single physical system. A hypervisor controls the host processor and resources, allocating what is needed to each virtual machine operating system. Virtualization provides benefits like cost reduction through resource sharing, isolation of virtual machines, hardware independence, and portability of virtual machines. Security challenges exist because the trusted computing base of a virtual machine is large since it includes the hypervisor. Efforts aim to reduce the trusted computing base by removing the hypervisor through techniques like direct hardware access and pre-allocating resources to virtual machines.
This document provides an introduction to cloud computing. It defines cloud computing and discusses its key characteristics including elasticity, multi-tenancy, and utility computing. The document outlines the different types of cloud services including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). It also discusses the technologies that enable cloud computing such as virtualization and containerization. The document uses examples like Amazon Web Services, Google Cloud, and OpenStack to illustrate cloud concepts.
Cloud computing provides on-demand access to shared configurable computing resources like servers, storage, databases, networking, software, analytics and more via the internet with minimal management effort. It has 5 essential characteristics, 3 service models (SaaS, PaaS, IaaS), and 4 deployment models (private, public, hybrid, community). Security is a major concern in cloud computing due to issues like data ownership, multi-tenancy, loss of physical control and proprietary implementations. A typical use case of provisioning a virtual machine involves a user request, provisioning by cloud management, and access to the ready VM.
Cloud computing allows users to access shared computing resources over the internet. It utilizes virtualization which involves partitioning physical resources and allocating them to virtual machines. This improves resource utilization, enables multi-tenancy, and makes resources scalable and flexible. Virtualization allows multiple operating systems and applications to run concurrently on a single physical server through virtual machines. It provides benefits like hardware independence, migration of virtual machines, and better fault isolation. Security challenges in virtualized cloud environments include issues around scaling, diversity, identity management and sensitive data lifetime.
Cloud computing comes into focus only when you think about what IT always needs: a way to increase capacity or add capabilities on the fly without investing in new infrastructure, training new personnel, or licensing new software. Cloud computing encompasses any subscription-based or pay-per-use service that, in real time over the Internet, extends IT's existing capabilities.
Join Marc Trouard-Riolle from Citrix Cloud Product Marketing for the latest presentation in the Citrix Cloud Master Class series.
In this session you will hear about building private enterprise clouds with Citrix CloudPlatform:
Learn about hypervisor, storage and networking considerations within private cloud use cases
Build a tailored availability zone for traditional workloads
See a step-by-step demonstration of building an enterprise private cloud
Cloud computing is a general term for internet-based computing where shared servers provide resources, software, and data to computers and other devices on demand. It provides scalable and elastic resources, accessible from anywhere on the internet. Key characteristics include on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. Cloud services can be software, platforms, or infrastructure delivered as a service via private, public or hybrid clouds.
The document discusses effective and secure use of cloud computing. It provides an overview of cloud computing definitions, models, and characteristics. It analyzes key security issues in cloud computing including advantages like data fragmentation and centralized security management, as well as challenges like isolation management and exposure of data to foreign governments. The document outlines several cloud computing security components and how they relate to both advantages and challenges.
Cloud computing introduces new risks that must be addressed. It relies on sharing resources over the internet rather than local servers. This introduces vulnerabilities like insecure APIs, data leaks when data is shared on virtual machines, and issues with the virtual networks. However, cloud security can be improved through measures like encryption, access control, data tracing, and masking sensitive data. Overall cloud computing improves accessibility and scalability but also requires secure virtualization and clear responsibility over data protection.
Cloud computing is an umbrella term for internet-based computing resources that provide shared processing, data storage, software, and other services. It allows users to access applications and data from anywhere via simple web services. Key advantages include lower costs, improved performance, universal access to documents, easier collaboration, and unlimited storage. However, it requires a constant internet connection and features may be limited compared to desktop software. Data security and loss of access are also potential disadvantages.
Cloud computing is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources that can be rapidly provisioned and released with minimal management effort or service provider interaction. Key characteristics of cloud computing include on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. Cloud computing provides opportunities for lower costs and more flexibility compared to traditional computing but also raises security and control concerns when sensitive data and applications are moved to external providers.
Cloud computing refers to storing and accessing data and programs over the Internet instead of a local computer's hard drive. It offers various online services through a network of remote servers. There are different types of cloud services and deployment models depending on who can access the cloud - public, private, hybrid or community. The main cloud service models are Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). While cloud computing provides benefits like flexible access to data and lower costs, it also poses security and privacy risks if data is not properly protected on remote servers.
Cloud computing is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources that can be rapidly provisioned and released with minimal management effort or service provider interaction. Key features include rapid elasticity, broad network access, resource pooling, measured service, and on-demand self-service. While cloud computing provides advantages such as lower costs, improved performance, and unlimited storage, it also poses disadvantages like requirements for a constant internet connection, limited features compared to desktop software, and potential security and data loss issues if the cloud provider experiences problems.
Cloud computing is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources that can be rapidly provisioned and released with minimal management effort or service provider interaction. Key characteristics of cloud computing include on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. Cloud computing provides opportunities for lower costs, improved performance and scalability, universal access to documents and data, and easier collaboration. However, it also poses disadvantages such as reliance on a constant internet connection and potential security and availability issues.
This document contains a question bank for the cloud computing course OIT552. It includes questions about topics like cloud definitions, characteristics, service models (IaaS, PaaS, SaaS), deployment models, virtualization, cloud architecture, storage, and challenges. The questions range from short definitions to longer explanations and comparisons of cloud concepts.
Virtualization allows multiple operating systems to run simultaneously on a single hardware system. A hypervisor controls execution of guest operating systems and provides abstraction between guests and the host. Type 1 hypervisors run directly on hardware while Type 2 hypervisors run on a host operating system. Uncontrolled growth of virtual machines can lead to VM sprawl that is difficult to manage. Virtual machine escape occurs when a program breaks out of a virtual machine and interacts with the host system. Cloud computing delivers computing services over the Internet and offers benefits like elastic resources, economies of scale, and faster innovation. The key characteristics of cloud computing are on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service.
This document provides an overview of cloud computing, including its structure, categories, architecture, storage, security, and deployment models. It defines cloud computing as relying on sharing hardware and software resources over a network rather than local devices. The cloud computing architecture has a front end that users interact with and a back end comprising various computers, servers, and storage devices that make up "the cloud." It also discusses cloud storage architecture, reference models, and ensuring security for data in transit, at rest, and through authentication and access control.
This document provides an overview of cloud computing, including its history and origins dating back to mainframe computers in the 1950s and time sharing networks in the 1960s. It describes the types of cloud models including infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). The key characteristics of cloud computing are also summarized such as resource pooling, broad network access, elasticity, measured service, and on-demand self-service.
Cloud computing is a general term for internet-based computing where shared servers provide resources, software, and data to computers and other devices on demand. It provides scalable, elastic resources without upfront investment for infrastructure. Key characteristics include pay-for-use, ubiquitous network access, resource pooling, rapid elasticity, and measured service. Common cloud service models are SaaS, PaaS, and IaaS. While the cloud provides opportunities like reduced costs and universal access, disadvantages include reliance on internet connectivity and potential security and control issues.
This document provides an overview of cloud computing and the Eucalyptus platform. It defines cloud computing as a large-scale distributed computing paradigm that delivers dynamically scalable computing resources as a service over the Internet. It then describes Eucalyptus as an open-source software that implements cloud computing on computer clusters and is compatible with Amazon EC2. The document outlines the Eucalyptus cloud architecture including components like the Cloud Controller, Cluster Controller, Node Controller, Storage Controller, and Walrus storage. It provides examples of deploying data mining applications on Eucalyptus and Amazon EC2 clouds.
Conversational agents, or chatbots, are increasingly used to access all sorts of services using natural language. While open-domain chatbots - like ChatGPT - can converse on any topic, task-oriented chatbots - the focus of this paper - are designed for specific tasks, like booking a flight, obtaining customer support, or setting an appointment. Like any other software, task-oriented chatbots need to be properly tested, usually by defining and executing test scenarios (i.e., sequences of user-chatbot interactions). However, there is currently a lack of methods to quantify the completeness and strength of such test scenarios, which can lead to low-quality tests, and hence to buggy chatbots.
To fill this gap, we propose adapting mutation testing (MuT) for task-oriented chatbots. To this end, we introduce a set of mutation operators that emulate faults in chatbot designs, an architecture that enables MuT on chatbots built using heterogeneous technologies, and a practical realisation as an Eclipse plugin. Moreover, we evaluate the applicability, effectiveness and efficiency of our approach on open-source chatbots, with promising results.
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectorsDianaGray10
Join us to learn how UiPath Apps can directly and easily interact with prebuilt connectors via Integration Service--including Salesforce, ServiceNow, Open GenAI, and more.
The best part is you can achieve this without building a custom workflow! Say goodbye to the hassle of using separate automations to call APIs. By seamlessly integrating within App Studio, you can now easily streamline your workflow, while gaining direct access to our Connector Catalog of popular applications.
We’ll discuss and demo the benefits of UiPath Apps and connectors including:
Creating a compelling user experience for any software, without the limitations of APIs.
Accelerating the app creation process, saving time and effort
Enjoying high-performance CRUD (create, read, update, delete) operations, for
seamless data management.
Speakers:
Russell Alfeche, Technology Leader, RPA at qBotic and UiPath MVP
Charlie Greenberg, host
This document provides an introduction to cloud computing. It defines cloud computing and discusses its key characteristics including elasticity, multi-tenancy, and utility computing. The document outlines the different types of cloud services including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). It also discusses the technologies that enable cloud computing such as virtualization and containerization. The document uses examples like Amazon Web Services, Google Cloud, and OpenStack to illustrate cloud concepts.
Cloud computing provides on-demand access to shared configurable computing resources like servers, storage, databases, networking, software, analytics and more via the internet with minimal management effort. It has 5 essential characteristics, 3 service models (SaaS, PaaS, IaaS), and 4 deployment models (private, public, hybrid, community). Security is a major concern in cloud computing due to issues like data ownership, multi-tenancy, loss of physical control and proprietary implementations. A typical use case of provisioning a virtual machine involves a user request, provisioning by cloud management, and access to the ready VM.
Cloud computing allows users to access shared computing resources over the internet. It utilizes virtualization which involves partitioning physical resources and allocating them to virtual machines. This improves resource utilization, enables multi-tenancy, and makes resources scalable and flexible. Virtualization allows multiple operating systems and applications to run concurrently on a single physical server through virtual machines. It provides benefits like hardware independence, migration of virtual machines, and better fault isolation. Security challenges in virtualized cloud environments include issues around scaling, diversity, identity management and sensitive data lifetime.
Cloud computing comes into focus only when you think about what IT always needs: a way to increase capacity or add capabilities on the fly without investing in new infrastructure, training new personnel, or licensing new software. Cloud computing encompasses any subscription-based or pay-per-use service that, in real time over the Internet, extends IT's existing capabilities.
Join Marc Trouard-Riolle from Citrix Cloud Product Marketing for the latest presentation in the Citrix Cloud Master Class series.
In this session you will hear about building private enterprise clouds with Citrix CloudPlatform:
Learn about hypervisor, storage and networking considerations within private cloud use cases
Build a tailored availability zone for traditional workloads
See a step-by-step demonstration of building an enterprise private cloud
Cloud computing is a general term for internet-based computing where shared servers provide resources, software, and data to computers and other devices on demand. It provides scalable and elastic resources, accessible from anywhere on the internet. Key characteristics include on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. Cloud services can be software, platforms, or infrastructure delivered as a service via private, public or hybrid clouds.
The document discusses effective and secure use of cloud computing. It provides an overview of cloud computing definitions, models, and characteristics. It analyzes key security issues in cloud computing including advantages like data fragmentation and centralized security management, as well as challenges like isolation management and exposure of data to foreign governments. The document outlines several cloud computing security components and how they relate to both advantages and challenges.
Cloud computing introduces new risks that must be addressed. It relies on sharing resources over the internet rather than local servers. This introduces vulnerabilities like insecure APIs, data leaks when data is shared on virtual machines, and issues with the virtual networks. However, cloud security can be improved through measures like encryption, access control, data tracing, and masking sensitive data. Overall cloud computing improves accessibility and scalability but also requires secure virtualization and clear responsibility over data protection.
Cloud computing is an umbrella term for internet-based computing resources that provide shared processing, data storage, software, and other services. It allows users to access applications and data from anywhere via simple web services. Key advantages include lower costs, improved performance, universal access to documents, easier collaboration, and unlimited storage. However, it requires a constant internet connection and features may be limited compared to desktop software. Data security and loss of access are also potential disadvantages.
Cloud computing is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources that can be rapidly provisioned and released with minimal management effort or service provider interaction. Key characteristics of cloud computing include on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. Cloud computing provides opportunities for lower costs and more flexibility compared to traditional computing but also raises security and control concerns when sensitive data and applications are moved to external providers.
Cloud computing refers to storing and accessing data and programs over the Internet instead of a local computer's hard drive. It offers various online services through a network of remote servers. There are different types of cloud services and deployment models depending on who can access the cloud - public, private, hybrid or community. The main cloud service models are Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). While cloud computing provides benefits like flexible access to data and lower costs, it also poses security and privacy risks if data is not properly protected on remote servers.
Cloud computing is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources that can be rapidly provisioned and released with minimal management effort or service provider interaction. Key features include rapid elasticity, broad network access, resource pooling, measured service, and on-demand self-service. While cloud computing provides advantages such as lower costs, improved performance, and unlimited storage, it also poses disadvantages like requirements for a constant internet connection, limited features compared to desktop software, and potential security and data loss issues if the cloud provider experiences problems.
Cloud computing is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources that can be rapidly provisioned and released with minimal management effort or service provider interaction. Key characteristics of cloud computing include on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. Cloud computing provides opportunities for lower costs, improved performance and scalability, universal access to documents and data, and easier collaboration. However, it also poses disadvantages such as reliance on a constant internet connection and potential security and availability issues.
This document contains a question bank for the cloud computing course OIT552. It includes questions about topics like cloud definitions, characteristics, service models (IaaS, PaaS, SaaS), deployment models, virtualization, cloud architecture, storage, and challenges. The questions range from short definitions to longer explanations and comparisons of cloud concepts.
Virtualization allows multiple operating systems to run simultaneously on a single hardware system. A hypervisor controls execution of guest operating systems and provides abstraction between guests and the host. Type 1 hypervisors run directly on hardware while Type 2 hypervisors run on a host operating system. Uncontrolled growth of virtual machines can lead to VM sprawl that is difficult to manage. Virtual machine escape occurs when a program breaks out of a virtual machine and interacts with the host system. Cloud computing delivers computing services over the Internet and offers benefits like elastic resources, economies of scale, and faster innovation. The key characteristics of cloud computing are on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service.
This document provides an overview of cloud computing, including its structure, categories, architecture, storage, security, and deployment models. It defines cloud computing as relying on sharing hardware and software resources over a network rather than local devices. The cloud computing architecture has a front end that users interact with and a back end comprising various computers, servers, and storage devices that make up "the cloud." It also discusses cloud storage architecture, reference models, and ensuring security for data in transit, at rest, and through authentication and access control.
This document provides an overview of cloud computing, including its history and origins dating back to mainframe computers in the 1950s and time sharing networks in the 1960s. It describes the types of cloud models including infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). The key characteristics of cloud computing are also summarized such as resource pooling, broad network access, elasticity, measured service, and on-demand self-service.
Cloud computing is a general term for internet-based computing where shared servers provide resources, software, and data to computers and other devices on demand. It provides scalable, elastic resources without upfront investment for infrastructure. Key characteristics include pay-for-use, ubiquitous network access, resource pooling, rapid elasticity, and measured service. Common cloud service models are SaaS, PaaS, and IaaS. While the cloud provides opportunities like reduced costs and universal access, disadvantages include reliance on internet connectivity and potential security and control issues.
This document provides an overview of cloud computing and the Eucalyptus platform. It defines cloud computing as a large-scale distributed computing paradigm that delivers dynamically scalable computing resources as a service over the Internet. It then describes Eucalyptus as an open-source software that implements cloud computing on computer clusters and is compatible with Amazon EC2. The document outlines the Eucalyptus cloud architecture including components like the Cloud Controller, Cluster Controller, Node Controller, Storage Controller, and Walrus storage. It provides examples of deploying data mining applications on Eucalyptus and Amazon EC2 clouds.
Similar to Introduction to Cloud Security.pptx (20)
Conversational agents, or chatbots, are increasingly used to access all sorts of services using natural language. While open-domain chatbots - like ChatGPT - can converse on any topic, task-oriented chatbots - the focus of this paper - are designed for specific tasks, like booking a flight, obtaining customer support, or setting an appointment. Like any other software, task-oriented chatbots need to be properly tested, usually by defining and executing test scenarios (i.e., sequences of user-chatbot interactions). However, there is currently a lack of methods to quantify the completeness and strength of such test scenarios, which can lead to low-quality tests, and hence to buggy chatbots.
To fill this gap, we propose adapting mutation testing (MuT) for task-oriented chatbots. To this end, we introduce a set of mutation operators that emulate faults in chatbot designs, an architecture that enables MuT on chatbots built using heterogeneous technologies, and a practical realisation as an Eclipse plugin. Moreover, we evaluate the applicability, effectiveness and efficiency of our approach on open-source chatbots, with promising results.
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectorsDianaGray10
Join us to learn how UiPath Apps can directly and easily interact with prebuilt connectors via Integration Service--including Salesforce, ServiceNow, Open GenAI, and more.
The best part is you can achieve this without building a custom workflow! Say goodbye to the hassle of using separate automations to call APIs. By seamlessly integrating within App Studio, you can now easily streamline your workflow, while gaining direct access to our Connector Catalog of popular applications.
We’ll discuss and demo the benefits of UiPath Apps and connectors including:
Creating a compelling user experience for any software, without the limitations of APIs.
Accelerating the app creation process, saving time and effort
Enjoying high-performance CRUD (create, read, update, delete) operations, for
seamless data management.
Speakers:
Russell Alfeche, Technology Leader, RPA at qBotic and UiPath MVP
Charlie Greenberg, host
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
Introduction of Cybersecurity with OSS at Code Europe 2024Hiroshi SHIBATA
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing.
The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.
Discover top-tier mobile app development services, offering innovative solutions for iOS and Android. Enhance your business with custom, user-friendly mobile applications.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
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- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
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AppSec PNW: Android and iOS Application Security with MobSFAjin Abraham
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This talk covers:
Using MobSF for static analysis of mobile applications.
Interactive dynamic security assessment of Android and iOS applications.
Solving Mobile app CTF challenges.
Reverse engineering and runtime analysis of Mobile malware.
How to shift left and integrate MobSF/mobsfscan SAST and DAST in your build pipeline.
Northern Engraving | Nameplate Manufacturing Process - 2024Northern Engraving
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2. 2
Outline
Review of Cloud Computing
High-level discussion of the security and
privacy challenges in cloud computing
Top threats to Cloud Computing
4. 4
What is Cloud Computing?
Cloud computing includes application software
delivered as services over the Internet, and
the hardware and systems software in the
datacenters that facilitate these services*
Key characteristics of cloud computing include:
• the illusion of infinite hardware resources, the elimination
of up-front
• commitment, and the ability to pay for resources as
needed.
* Armbrust et al., “Above the Clouds: A Berkeley View of Cloud Computing”
5. 5
What is Cloud Computing?
NIST Definition “A model for enabling ubiquitous,
convenient, on-demand network access to a shared
pool of configurable computing resources that can be
rapidly provisioned and released with minimal
management effort or service provider interaction.”
Software-as-a-
service
Infrastructure-as-
a-service
Cloud
providers
Platform-as-a-
service
7. 7
Three Cloud Service Models
Cloud Software as a Service (SaaS)
• Use provider’s applications over a network
Cloud Platform as a Service (PaaS)
• Deploy customer-created applications to a cloud
Cloud Infrastructure as a Service (IaaS)
• Rent processing, storage, network capacity, and other
fundamental computing resources
To be considered “cloud” they must be deployed on
top of cloud infrastructure that has the key
characteristics
8. 8
Architectures for SaaS, PaaS, and IaaS
Cloud Infrastructure
IaaS
PaaS
SaaS
Infrastructure as a Service (IaaS)
Architectures
Platform as a Service (PaaS)
Architectures
Software as a Service
(SaaS)
Architectures
Cloud Infrastructure
SaaS
Cloud Infrastructure
PaaS
SaaS
Cloud Infrastructure
IaaS
PaaS
Cloud Infrastructure
PaaS
Cloud Infrastructure
IaaS
9. 9
Four Cloud Deployment Models
Private cloud
•enterprise owned or leased
Community cloud
•shared infrastructure for specific community
Public cloud
•Sold to the public, mega-scale infrastructure
Hybrid cloud
•composition of two or more clouds
12. 12
Cloud Security
• Some key issues:
• trust, multi-tenancy, encryption, compliance
• Clouds are massively complex systems
can be reduced to simple primitives
that are replicated thousands of times
and common functional units
• Cloud security is a tractable problem
• There are both advantages and challenges
13. 13
A simplified Model of Cloud Computing
Users run Virtual Machines (VMs) on cloud provider’s infrastructure
User A
virtual machines (VMs)
User B
virtual machines (VMs)
Owned/operated
by cloud provider
Virtual
Machine
Manager
14. 14
A simplified Model of Cloud Computing
• Multitenancy (users share physical
resources)
• Virtual Machine Manager (VMM)
manages physical server resources for
VMs
• To the VM should look like dedicated
server
15. 15
Trust models in public cloud computing
Users must trust third-party provider to
• not spy on running VMs / data
• secure infrastructure from external attackers
• secure infrastructure from internal attackers
User A
virtual machines (VMs)
User B
virtual machines (VMs)
Bad guy
Threats due to
sharing of physical
infrastructure ?
Your business competitor
Script kiddies
Criminals
…
17. 17
Data Center Security
• Data Centers are protected by several
layers of security
• Physical security and isolation
• Power
• Fire Detection and Suppression
• Climate and Temperature Safeguards
• Backups for stored data
• Physical devices are erased using DoD
or NIST media sanitation techniques
18. 18
Challenges due to Shared Resources
• Cloud computing introduces a shared
resource environment, leading to:
• unexpected side channels (passively
observing information), and
• covert channels (actively sending data)
• Reputation fate-sharing
• Cloud users benefit from the security
expertise at major cloud providers, but
• a single subverter can disrupt many users.
* Above the Clouds: A Berkeley View of Cloud Computing
19. 19
Top Threats to Cloud Computing*
• Abuse and Nefarious Use of Cloud Computing
• relative anonymity behind the registration and
usage models for IaaS
• spammers, malicious code authors, and other
criminals have been able to conduct their activities
with relative impunity
• Insecure Interfaces and APIs
• Provisioning, management, orchestration, and
monitoring are all performed using APIs
• Authentication, access control, encryption and
activity monitoring
• APIs must be designed to protect against both
accidental and malicious attempts to circumvent
policy
20. 20
Top Threats to Cloud Computing
• Malicious Insiders
• convergence of IT services and customers
under a single management domain
• general lack of transparency into provider
process and procedure
• Shared Technology Issues
• virtualization hypervisor mediates access
between guest operating systems and the
physical compute resources
• Strong compartmentalization should be
employed
21. 21
Top Threats to Cloud Computing
• Data Loss or Leakage
• Threat of data compromise increases in the
cloud
• Account or Service Hijacking
• Eavesdrop on your activities and
transactions, manipulate data, return
falsified information, and redirect your
clients to illegitimate sites
• Unknown Risk Profile
• Security by obscurity may be low effort, but
it can result in unknown exposures
23. 23
Security Issues from Virtualization
• Virtualization providers provide
• is using- ParaVirtualization or full system virtualization.
• Instance Isolation: ensuring that Different instances
running on the same physical machine are isolated
from each other.
• Control of Administrator on Host O/s and Guest o/s.
• Current VMs do not offer perfect isolation: Many bugs have
been found in all popular VMMs that allow to escape from VM!
• Virtual machine monitor should be ‘root secure’,
meaning that no level of privilege within the virtualized
guest environment permits interference with the host
system.
24. 24
Operating Systems: The Classical View
data data
Programs
run as
independent
processes.
Protected
system calls
...and upcalls
(e.g., signals)
Protected OS
kernel
mediates
access to
shared
resources.
Threads
enter the
kernel for
OS
services.
Each process
has a private
virtual address
space and one
or more
threads.
The kernel code and data are protected from untrusted processes.
25. 25
OS Platform: A Model
OS platform: same for all
applications on a system
E,g,, classical OS kernel
Libraries/frameworks:
packaged code used by
multiple applications
Applications/services.
May interact and serve
one another.
OS mediates access to shared resources.
That requires protection and isolation.
[RAD Lab]
Protection boundary
API
API
27. 27
Point of “OS as a Service”
Kernel support for fast cross-domain call (“local RPC) enables OS services to be
provided as user programs, outside the kernel, over a low-level “microkernel”
syscall interface. This low-level syscall interface is not an API: it is hidden from
applications, which are built to use the higher-level OS service APIs.
Many systems use this structure. Android uses it. Android is a collection of
libraries and services over a “standard” Linux kernel, with binder supported added
to the kernel as a plug-in module (a special device driver).
This structure originated with research “microkernel” systems in the 1980s, most
notably the Mach project at CMU. The kernel code base for MacOSX derives
substantially from Mach.
Windows uses this structure to some extent. Microsoft’s first modern OS was
Windows NT (released in 1993). NT was strongly influenced by the research work
in microkernels.
29. 29
Native virtual machines
(VMs)
Slide a hypervisor underneath the kernel.
• New OS layer: also called virtual machine monitor (VMM).
Kernel and processes run in a virtual machine (VM).
• The VM “looks the same” to the OS as a physical machine.
• The VM is a sandboxed/isolated context for an entire OS.
Can run multiple VM instances on a shared computer.
hypervisor
31. 31
Image/Template/Virtual
Appliance
A virtual appliance is a program for a virtual machine.
• Sometimes called a VM image or template
The image has everything needed to run a virtual server:
• OS kernel program
• file system
• application programs
The image can be instantiated as a VM on a cloud.
• Not unlike running a program to instantiate it as a process
32. 32
Containers
Note: lightweight container technologies offer a similar
abstraction, but the VMs share a common kernel.
• E.g., Docker
33. 33
33
Partition world into two parts:
• Green Safer/accountable
• Red Less safe/unaccountable
Two aspects, mostly orthogonal
• User Experience
• Isolation mechanism
Separate hardware with air gap
VM
Process isolation
Accountability vs. Freedom
34. 34
34
Without R|G: Today
N attacks/yr
Less
valuable
assets
More
valuable
assets
My Computer
m attacks/yr
Total: N+m attacks/yr on all assets
(N >> m)
Less trustworthy
Less accountable
entities
More trustworthy
More accountable
entities
Entities
- Programs
- Network hosts
- Administrators
35. 35
35
With R|G
Less
valuable
assets
My Red Computer
N attacks/yr on less
valuable assets
More
valuable
assets
More
valuable
assets
My Green Computer
m attacks/yr on more
valuable assets
N attacks/yr m attacks/yr
(N >> m)
Less trustworthy
Less accountable
entities
More trustworthy
More accountable
entities
Entities
- Programs
- Network hosts
- Administrators
36. 36
36
Must Get Configuration Right
Less
valuable
assets
My Red Computer
More
valuable
assets
More
valuable
assets
My Green Computer
Valuable
Asset
Less trustworthy
Less accountable
entities
More trustworthy
More accountable
entities
Hostile
agent
• Keep valuable stuff out of red
• Keep hostile agents out of green
37. 37
37
Why R|G?
Problems:
• Any OS will always be exploitable
The richer the OS, the more bugs
• Need internet access to get work done, have fun
The internet is full of bad guys
Solution: Isolated work environments:
• Green: important assets, only talk to good guys
Don’t tickle the bugs, by restricting inputs
• Red: less important assets, talk to anybody
Blow away broken systems
Good guys: more trustworthy / accountable
39. 39
Linux Containers
• The problem?
• Many payloads
• backend services (API), databases
• distributed stores, webapps
• Java, Node.js, PHP, Python, Ruby, …
• Plus your code
• Many targets
• your local development environment
• your coworkers’ development environment
• some random test server / the production server
• bare metal / virtual machines
• your Raspberry Pi
Adapted from slides at linuxfoundation.org
44. 44
Solution to the Transportation Problem
The intermodal shipping container
• 90% of all cargo now shipped in a
standard container
• faster and cheaper to load and unload
on ships (by an order of magnitude)
• less theft, less damage
• freight cost used to be >25% of final
goods cost, now <3%
• 5000 ships deliver 200M containers per
year
46. 46
Linux containers…
• run everywhere
• regardless of kernel version
• regardless of host distro
• (but container and host architecture must
match)
• run anything
• if it can run on the host, it can run in the
container
• i.e., if it can run on a Linux kernel, it can run
47. 47
What is a Linux container?
It’s a lightweight VM
• own process space
• own network interface
• can run stuff as root
• can have its own /sbin/init (different
from the host)
48. 48
What is a Linux container?
Low-level approach: it’s chroot on steroids
• can also not have its own /sbin/init
• container = isolated process(es)
• share kernel with host
• no device emulation (neither HVM nor
PV)
49. 49
Separation of concerns
• Dave the Developer
• My code, my libraries, my package manager, my app, my data
• Oscar the Ops guy
• Outside the container – logging, remote access, network
configuration, monitoring
• How does it work?
• Isolation with namespaces – pid, mnt, net, uts, ipc, user
• How does it work?
• Isolation with cgroups – memory, cpu, blkio, devices
50. 50
Efficiency
• Almost no overhead
• processes are isolated, but run straight on the host
• CPU performance = native performance
• memory performance = a few % shaved off for
(optional) accounting
• network performance = small overhead; can be
optimized to zero overhead
• Storage-friendly
• provisioning now takes a few milliseconds
• … and a few kilobytes
• creating a new base/image/whateveryoucallit takes
a few seconds
52. 52
What is Docker?
• Open Source engine to commoditize LXC
• using copy-on-write for quick provisioning
• allowing to create and share images
• propose a standard format for containers
• It’s true you can do all that stuff with LXC
tools, rsync, some scripts (true for apt, dpkg,
yum, etc.)
• The whole point is to commoditize, i.e. make it
ridiculously easy to use!
Adapted from slides at linuxfoundation.org
53. 53
Docker: authoring images
• you can author « images »
• either with « run+commit » cycles, taking
snapshots
• or with a Dockerfile (=source code for a
container)
• both ways, it's ridiculously easy
• you can run them
• anywhere
• multiple times