Distributed semantic search system (dsss)
•Download as PPTX, PDF•
0 likes•239 views
This document describes a distributed semantic search system (DSSS) developed by a team of 4 students. The system allows users to search for and retrieve XML/RDF documents from a server. It follows a client-server architecture and aims to address issues like secure access management and billing. The system is designed to be highly available, reliable, concurrent, consistent, scalable and caching is allowed to improve performance. A three-tier architecture is used and the document describes the system's functional and non-functional requirements as well as its specializations, demo and server configuration.
Report
Share
Report
Share
Recommended
Introduction to Cloud Computing
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.
Privacy preserving public auditing for regenerating-code-based
This document summarizes a research paper that proposes a privacy-preserving public auditing scheme for regenerating-code-based cloud storage. Existing methods only allow private auditing by the data owner, but the proposed system utilizes a third-party auditor and semi-trusted proxy to check data integrity and repair failures on behalf of the data owner. This allows public auditing while maintaining security and reducing the online burden for data owners. The system takes advantage of the properties of regenerating codes to efficiently compute authenticators.
01 database security ent-db
Databases store logically interrelated data representing real-world aspects. They require security measures to protect data confidentiality, integrity, and availability from threats. Common threats include privilege abuse, injection attacks, and unmanaged sensitive data. Database security uses prevention techniques like access control and detection techniques like auditing. Access control policies include discretionary access control based on authorization rules, mandatory access control, and role-based access control. Views and stored procedures also help implement access control by restricting data access.
Attaining data security in cloud computing
This document discusses attaining data security in cloud computing. It aims to address security issues like insider attacks and identity theft. The challenges of storing data across distributed cloud systems while maintaining integrity and control are examined. Traditional cryptographic techniques like encryption, decryption, and digital signatures are explored as well as symmetric and asymmetric ciphers. A system model involving users, cloud service providers, and third party auditors is proposed. Simulation tools and references are also provided.
Privacy Preserving Public Auditing for Data Storage Security in Cloud.ppt
Introducing TPA(Third Party Auditor) to the cloud.It sends the information about the data stored in the cloud.It informs the user when any unauthorized user tries to steal his data from the cloud.
Excellent Manner of Using Secure way of data storage in cloud computing
The major challenging issue in Cloud computing is Security. Providing Security is big issue
towards protecting data from third person as well as in Internet. This mainly deals the Security how it is
provided. Various type of services are there to protect our data and Various Services are available in Cloud
Computing to Utilize effective manner as Software as a Service (SaaS), Platform as a Service (PaaS),
Hardware as a Service (HaaS). Cloud computing is the use of computing resources (hardware and
software) that are delivered as a service over Internet network. Cloud Computing moves the Application
software and databases to the large data centres, where the administration of the data and services may not
be fully trustworthy that is in third party here the party has to get certified and authorized. Since Cloud
Computing share distributed resources via network in the open environment thus it makes new security
risks towards the correctness of the data in cloud. I propose in this paper flexibility of data storage
mechanism in the distributed environment by using the homomorphism token generation. In the proposed
system, users need to allow auditing the cloud storage with lightweight communication. While using
Encryption and Decryption methods it is very burden for a single processor. Than the processing
Capabilities can we utilize from Cloud Computing.
Cloud computing & dbms
In Cloud computing we explain the basics of cloud and its model. It contain contents which distinguish between different types of clouds and its characteristics. With the help of presented point you will able to select your required cloud solution that can meet your company requirements.
Ensuring data integrity on cloud data storage
Cloud storage moves user data to remote data centers that users do not control, posing new security challenges. The document proposes a scheme using hash-based message authentication codes and RSA signatures to allow users to verify the integrity of their cloud data, addressing problems of data integrity and security. It aims to reduce costs for clients with limited resources to check data integrity in the cloud.
Recommended
Introduction to Cloud Computing
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.
Privacy preserving public auditing for regenerating-code-based
This document summarizes a research paper that proposes a privacy-preserving public auditing scheme for regenerating-code-based cloud storage. Existing methods only allow private auditing by the data owner, but the proposed system utilizes a third-party auditor and semi-trusted proxy to check data integrity and repair failures on behalf of the data owner. This allows public auditing while maintaining security and reducing the online burden for data owners. The system takes advantage of the properties of regenerating codes to efficiently compute authenticators.
01 database security ent-db
Databases store logically interrelated data representing real-world aspects. They require security measures to protect data confidentiality, integrity, and availability from threats. Common threats include privilege abuse, injection attacks, and unmanaged sensitive data. Database security uses prevention techniques like access control and detection techniques like auditing. Access control policies include discretionary access control based on authorization rules, mandatory access control, and role-based access control. Views and stored procedures also help implement access control by restricting data access.
Attaining data security in cloud computing
This document discusses attaining data security in cloud computing. It aims to address security issues like insider attacks and identity theft. The challenges of storing data across distributed cloud systems while maintaining integrity and control are examined. Traditional cryptographic techniques like encryption, decryption, and digital signatures are explored as well as symmetric and asymmetric ciphers. A system model involving users, cloud service providers, and third party auditors is proposed. Simulation tools and references are also provided.
Privacy Preserving Public Auditing for Data Storage Security in Cloud.ppt
Introducing TPA(Third Party Auditor) to the cloud.It sends the information about the data stored in the cloud.It informs the user when any unauthorized user tries to steal his data from the cloud.
Excellent Manner of Using Secure way of data storage in cloud computing
The major challenging issue in Cloud computing is Security. Providing Security is big issue
towards protecting data from third person as well as in Internet. This mainly deals the Security how it is
provided. Various type of services are there to protect our data and Various Services are available in Cloud
Computing to Utilize effective manner as Software as a Service (SaaS), Platform as a Service (PaaS),
Hardware as a Service (HaaS). Cloud computing is the use of computing resources (hardware and
software) that are delivered as a service over Internet network. Cloud Computing moves the Application
software and databases to the large data centres, where the administration of the data and services may not
be fully trustworthy that is in third party here the party has to get certified and authorized. Since Cloud
Computing share distributed resources via network in the open environment thus it makes new security
risks towards the correctness of the data in cloud. I propose in this paper flexibility of data storage
mechanism in the distributed environment by using the homomorphism token generation. In the proposed
system, users need to allow auditing the cloud storage with lightweight communication. While using
Encryption and Decryption methods it is very burden for a single processor. Than the processing
Capabilities can we utilize from Cloud Computing.
Cloud computing & dbms
In Cloud computing we explain the basics of cloud and its model. It contain contents which distinguish between different types of clouds and its characteristics. With the help of presented point you will able to select your required cloud solution that can meet your company requirements.
Ensuring data integrity on cloud data storage
Cloud storage moves user data to remote data centers that users do not control, posing new security challenges. The document proposes a scheme using hash-based message authentication codes and RSA signatures to allow users to verify the integrity of their cloud data, addressing problems of data integrity and security. It aims to reduce costs for clients with limited resources to check data integrity in the cloud.
Privacy Preserving Public Auditing for Data Storage Security in Cloud
This document outlines the stages of a proposed privacy-preserving public auditing system for secure cloud storage. It introduces the need for such a system by describing challenges with cloud data integrity and existing solutions. The proposed system would allow a third party auditor to efficiently audit cloud data storage without accessing the actual data files, while preserving user data privacy. It would utilize public key cryptography and random masking techniques. The document claims this system would meet the goals of supporting privacy-preserving audits and handling multiple concurrent audit tasks through the use of techniques like bilinear aggregate signatures.
Crypto multi tenant an environment of secure computing using cloud sql
Today’s most modern research area of computing is cloud comput
ing due to its ability to diminish the costs
associated with virtualization, high availability, dynamic resource pools and increases the efficien
cy of
computing. But still it contains some drawbacks such as privacy, security, etc. This paper is thorou
ghly
focused on the security of data of multi tenant model obtains from the virtualization feature of clo
ud
computing. We use AES
-
128 bit algorithm and cloud SQL to protect sensitive data before storing in the
cloud. When the authorized customer arises for usag
e of data, then data firstly decrypted after that
provides to the customer. Multi tenant infrastructure is supported by Google, which prefers pushing
of
contents in short iteration cycle. As the customer is distributed and their demands can arise anywhe
re,
anytime so data can’t store at particular site it must be available different sites also. For this f
aster
accessing by different users from different places Google is the best one. To get high reliability a
nd
availability data is stored in encrypted befor
e storing in database and updated every time after usage. It is
very easy to use without requiring any software. This authenticate user can recover their encrypted
and
decrypted data, afford efficient and data storage security in the cloud.
Unit 3 -Data storage and cloud computing
Data storage
Cloud storage
Cloud storage from LANs to WANs
Cloud computing services
Cloud computing at work
File system
Data management
Management services
Security Requirement Specification Model for Cloud Computing Services
The document proposes a security requirement specification model for cloud computing services. It discusses (1) existing security issues and specification languages, (2) the need for a new model to describe security interactions and requirements, and (3) how the model can be used to specify security for use cases, components, and intrusion detection system rules for a cloud computing case study.
Distributed accountability for data sharing in cloud
The document proposes a Cloud Information Accountability (CIA) framework to provide end-to-end accountability for data stored in the cloud. The CIA framework uses a logger component associated with each user's data to log all access and encrypt the logs. It also includes a log harmonizer that periodically collects encrypted logs and allows users to retrieve logs on demand for auditing purposes. The framework aims to enable data owners to track how their data is used while maintaining lightweight and decentralized logging.
Lecture28 cc-security3
The document summarizes research on security risks in cloud computing due to multi-tenancy. It discusses how researchers were able to:
1) Map the physical layout of Amazon EC2 instances to determine placement parameters to achieve co-residence with target VMs.
2) Verify co-residence through network checks and a covert channel with over 60% success.
3) Cause co-residence by launching many probes or targeting recently launched instances, achieving up to 40% success.
4) Exploit co-residence to measure cache usage and network traffic, allowing for load monitoring and covert channels to leak information.
DDS-to-JSON and DDS Real-time Data Storage with MongoDB
The document discusses using MongoDB to store time-series sensor data transmitted using the Data Distribution Service (DDS) standard. DDS is used to acquire real-time data from sensors and devices, which is then converted to JSON format and stored as documents in MongoDB collections. MongoDB is suitable for this application because it can manage flexible data structures and scale to large volumes of sensor data. The system provides benefits like replay capability, querying, analysis and integration testing using the recorded sensor information.
Lecture26 cc-security1
This document discusses cloud computing security and covers the following key points in 15 sentences or less:
Cloud security involves ensuring confidentiality, integrity, and availability of data. There are four main types of security attacks: interruption, interception, modification, and fabrication. Security threats can be classified as disclosure, deception, disruption, or usurpation. Security policies define what is and is not allowed, while mechanisms enforce these policies. Security aims to prevent attacks, detect violations, and enable recovery from any successful attacks. Trust and assumptions underlie all aspects of security policies, mechanisms, operations, and issues.
Identity based secure distributed data storage schemes
This document proposes two identity-based secure distributed data storage schemes. The first scheme is secure against chosen plaintext attacks, while the second is secure against chosen ciphertext attacks. Both schemes allow a file owner to independently set access permissions and prevent unauthorized access or modification of outsourced files by proxy servers. The proposed schemes were designed to address confidentiality and integrity issues with existing distributed data storage systems by incorporating identity-based cryptography and access control set by the file owner.
Cloud computing
Cloud computing provides on-demand access to shared computing resources like servers, storage, databases, networking, software and analytics over the internet. It has essential characteristics like self-service, broad network access, resource pooling and rapid elasticity. There are three main service models - Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS). Cloud deployment models include private, public and hybrid clouds. While cloud computing provides advantages like scalability and reduced costs, it also poses security, performance and connectivity risks if not implemented properly.
DATA STORAGE SECURITY CHALLENGES IN CLOUD COMPUTING
In the digital world using technology and new technologies require safe and reliable environment, and it also requires consideration to all the challenges that technology faces with them and address these challenges. Cloud computing is also one of the new technologies in the IT world in this rule there is no exception. According to studies one of the major challenges of this technology is the security and safety required for providing services and build trust in consumers to transfer their data into the cloud. In this paper we attempt to review and highlight security challenges, particularly the security of data storage in a cloud environment. Also, provides some offers to enhance the security of data storage in the cloud
computing systems that by using these opinions can be overcome somewhat on the problems.
G0314043
This document discusses security issues in cloud computing. It begins by defining cloud computing and describing its service models and deployment models. It then identifies several key security issues in cloud computing, including security, privacy, reliability, lack of open standards, compliance, and concerns about long-term viability of data. Security is identified as the top challenge according to a survey of IT executives. The document argues that more must be done to address security, privacy, and other issues in order to fully realize the potential of cloud computing.
Fundamental Cloud Architectures
This chapter introduces and describes several of the more common foundational cloud architectural models, each exemplifying a common usage and characteristic of contemporary cloud-based environments. The involvement and importance of different combinations of cloud computing mechanisms in relation to these architectures are explored.
A Study of Data Storage Security Issues in Cloud Computing
Cloudcomputingprovidesondemandservicestoitsclients.Datastorageisamongoneoftheprimaryservices providedbycloudcomputing.Cloudserviceproviderhoststhedataofdataownerontheirserverandusercan accesstheirdatafromtheseservers.Asdata,ownersandserversaredifferentidentities,theparadigmofdata storagebringsupmanysecuritychallenges.Anindependentmechanismisrequiredtomakesurethatdatais correctlyhostedintothecloudstorageserver.Inthispaper,wewilldiscussthedifferenttechniquesthatare usedforsecuredatastorageoncloud. Cloud computing is a functional paradigm that is evolving and making IT utilization easier by the day for consumers. Cloud computing offers standardized applications to users online and in a manner that can be accessed regularly. Such applications can be accessed by as many persons as permitted within an organization without bothering about the maintenance of such application. The Cloud also provides a channel to design and deploy user applications including its storage space and database without bothering about the underlying operating system. The application can run without consideration for on premise infrastructure. Also, the Cloud makes massive storage available both for data and databases. Storage of data on the Cloud is one of the core activities in Cloud computing. Storage utilizes infrastructure spread across several geographical locations.
Decentralized access control with anonymous authentication of data stored in ...
TO GET THIS PROJECT THROUGH ONLINE OR TRAINING SESSION CONTACT:
LansA Informatics Pvt Ltd
No 165, 5th Street,
Crosscut road, Gandhipuram,
Coimbatore - 641 012
Landline: 0422 - 4204373
Mobile: +91 90 953 953 33
Email :lansa.projects@gmail.com
Website: www.lansainformatics.com
Blog: www.lansastudentscdc.blogspot.com
An Overview of Security in Distributed Database Management System
Databases are exceptionally familiar in businesses. The ordinary database is naturally held on a central server and people log in to the system to query or update the database. Still, there is an additional type of database known as a distributed database that bids advantages for some kinds of organization. This paper will examine the underlying features of the distributed database system and its security. Learning the task of distributed database management system will lead us to a successful design. Developing a successful distributed database system requires to address the importance of security issues that may arise and possibly compromise the access control and the integrity of the system. This paper propose some solutions for some security aspects such as multilevel access control, confidentiality, reliability, integrity and recovery that pertain to a distributed database system.
The NIST Definition of Cloud Computing
This document defines cloud computing and its key characteristics. Cloud computing provides on-demand access to shared computing resources like networks, servers, storage, applications and services that can be quickly provisioned with minimal management effort. It has essential characteristics of on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. There are three service models - Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). Four deployment models of public, private, community and hybrid clouds are also defined.
microsoftazure.presentation
This document provides an overview of Microsoft Azure, including its evolution over time. It describes Azure as an open and flexible cloud platform that allows users to quickly deploy and manage applications across Microsoft's global network of datacenters. Azure provides platform as a service (PaaS) and allows users to build applications using any language, tools, or framework. It also helps integrate public cloud applications with existing on-premises IT environments. The document discusses Azure's components and services, pricing models, and advantages like scalability, availability, and eased management.
Privacy preserving public auditing for regenerating code based cloud storage
Ki-Tech Solutions IEEE PROJECTS DEVELOPMENTS WE OFFER IEEE PROJECTS MCA FINAL YEAR STUDENT PROJECTS, ENGINEERING PROJECTS AND TRAINING, PHP PROJECTS, JAVA AND J2EE PROJECTS, ASP.NET PROJECTS, NS2 PROJECTS, MATLAB PROJECTS AND IPT TRAINING IN RAJAPALAYAM, VIRUDHUNAGAR DISTRICTS, AND TAMILNADU. Mail to: kitechsolutions.in@gmail.com
Week 1 lecture material cc
Cloud computing provides on-demand access to shared computing resources like networks, servers, storage, applications and services. It has essential characteristics like on-demand self-service, broad network access, resource pooling and rapid elasticity. The cloud services models include Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). The deployment models are private cloud, community cloud, public cloud and hybrid cloud.
Introduction to databasecasmfnbskdfjnfkjsdnsjkdfn
The document discusses different topics related to database systems and architectures. It begins with an introduction and agenda. It then defines what a database is and discusses the advantages of using a database management system (DBMS). The document reviews the history of database systems and some popular database management systems. It describes different architectures for multi-user database systems including two-tier client-server, three-tier client-server, and n-tier client-server models. Distributed and cloud-based database solutions are also summarized. Finally, the document defines what a data warehouse is and recaps the key topics discussed.
Cloud computing
The document provides an overview of cloud computing, including its key concepts and components. It discusses the different deployment models (public, private, hybrid, community clouds), service models (IaaS, PaaS, SaaS), characteristics, benefits, history and evolution. Communication protocols used in cloud computing like HTTP, HTTPS and various RPC implementations are also mentioned. The role of open standards in cloud architecture including virtualization, SOA, open-source software and web services is assessed.
More Related Content
What's hot
Privacy Preserving Public Auditing for Data Storage Security in Cloud
This document outlines the stages of a proposed privacy-preserving public auditing system for secure cloud storage. It introduces the need for such a system by describing challenges with cloud data integrity and existing solutions. The proposed system would allow a third party auditor to efficiently audit cloud data storage without accessing the actual data files, while preserving user data privacy. It would utilize public key cryptography and random masking techniques. The document claims this system would meet the goals of supporting privacy-preserving audits and handling multiple concurrent audit tasks through the use of techniques like bilinear aggregate signatures.
Crypto multi tenant an environment of secure computing using cloud sql
Today’s most modern research area of computing is cloud comput
ing due to its ability to diminish the costs
associated with virtualization, high availability, dynamic resource pools and increases the efficien
cy of
computing. But still it contains some drawbacks such as privacy, security, etc. This paper is thorou
ghly
focused on the security of data of multi tenant model obtains from the virtualization feature of clo
ud
computing. We use AES
-
128 bit algorithm and cloud SQL to protect sensitive data before storing in the
cloud. When the authorized customer arises for usag
e of data, then data firstly decrypted after that
provides to the customer. Multi tenant infrastructure is supported by Google, which prefers pushing
of
contents in short iteration cycle. As the customer is distributed and their demands can arise anywhe
re,
anytime so data can’t store at particular site it must be available different sites also. For this f
aster
accessing by different users from different places Google is the best one. To get high reliability a
nd
availability data is stored in encrypted befor
e storing in database and updated every time after usage. It is
very easy to use without requiring any software. This authenticate user can recover their encrypted
and
decrypted data, afford efficient and data storage security in the cloud.
Unit 3 -Data storage and cloud computing
Data storage
Cloud storage
Cloud storage from LANs to WANs
Cloud computing services
Cloud computing at work
File system
Data management
Management services
Security Requirement Specification Model for Cloud Computing Services
The document proposes a security requirement specification model for cloud computing services. It discusses (1) existing security issues and specification languages, (2) the need for a new model to describe security interactions and requirements, and (3) how the model can be used to specify security for use cases, components, and intrusion detection system rules for a cloud computing case study.
Distributed accountability for data sharing in cloud
The document proposes a Cloud Information Accountability (CIA) framework to provide end-to-end accountability for data stored in the cloud. The CIA framework uses a logger component associated with each user's data to log all access and encrypt the logs. It also includes a log harmonizer that periodically collects encrypted logs and allows users to retrieve logs on demand for auditing purposes. The framework aims to enable data owners to track how their data is used while maintaining lightweight and decentralized logging.
Lecture28 cc-security3
The document summarizes research on security risks in cloud computing due to multi-tenancy. It discusses how researchers were able to:
1) Map the physical layout of Amazon EC2 instances to determine placement parameters to achieve co-residence with target VMs.
2) Verify co-residence through network checks and a covert channel with over 60% success.
3) Cause co-residence by launching many probes or targeting recently launched instances, achieving up to 40% success.
4) Exploit co-residence to measure cache usage and network traffic, allowing for load monitoring and covert channels to leak information.
DDS-to-JSON and DDS Real-time Data Storage with MongoDB
The document discusses using MongoDB to store time-series sensor data transmitted using the Data Distribution Service (DDS) standard. DDS is used to acquire real-time data from sensors and devices, which is then converted to JSON format and stored as documents in MongoDB collections. MongoDB is suitable for this application because it can manage flexible data structures and scale to large volumes of sensor data. The system provides benefits like replay capability, querying, analysis and integration testing using the recorded sensor information.
Lecture26 cc-security1
This document discusses cloud computing security and covers the following key points in 15 sentences or less:
Cloud security involves ensuring confidentiality, integrity, and availability of data. There are four main types of security attacks: interruption, interception, modification, and fabrication. Security threats can be classified as disclosure, deception, disruption, or usurpation. Security policies define what is and is not allowed, while mechanisms enforce these policies. Security aims to prevent attacks, detect violations, and enable recovery from any successful attacks. Trust and assumptions underlie all aspects of security policies, mechanisms, operations, and issues.
Identity based secure distributed data storage schemes
This document proposes two identity-based secure distributed data storage schemes. The first scheme is secure against chosen plaintext attacks, while the second is secure against chosen ciphertext attacks. Both schemes allow a file owner to independently set access permissions and prevent unauthorized access or modification of outsourced files by proxy servers. The proposed schemes were designed to address confidentiality and integrity issues with existing distributed data storage systems by incorporating identity-based cryptography and access control set by the file owner.
Cloud computing
Cloud computing provides on-demand access to shared computing resources like servers, storage, databases, networking, software and analytics over the internet. It has essential characteristics like self-service, broad network access, resource pooling and rapid elasticity. There are three main service models - Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS). Cloud deployment models include private, public and hybrid clouds. While cloud computing provides advantages like scalability and reduced costs, it also poses security, performance and connectivity risks if not implemented properly.
DATA STORAGE SECURITY CHALLENGES IN CLOUD COMPUTING
In the digital world using technology and new technologies require safe and reliable environment, and it also requires consideration to all the challenges that technology faces with them and address these challenges. Cloud computing is also one of the new technologies in the IT world in this rule there is no exception. According to studies one of the major challenges of this technology is the security and safety required for providing services and build trust in consumers to transfer their data into the cloud. In this paper we attempt to review and highlight security challenges, particularly the security of data storage in a cloud environment. Also, provides some offers to enhance the security of data storage in the cloud
computing systems that by using these opinions can be overcome somewhat on the problems.
G0314043
This document discusses security issues in cloud computing. It begins by defining cloud computing and describing its service models and deployment models. It then identifies several key security issues in cloud computing, including security, privacy, reliability, lack of open standards, compliance, and concerns about long-term viability of data. Security is identified as the top challenge according to a survey of IT executives. The document argues that more must be done to address security, privacy, and other issues in order to fully realize the potential of cloud computing.
Fundamental Cloud Architectures
This chapter introduces and describes several of the more common foundational cloud architectural models, each exemplifying a common usage and characteristic of contemporary cloud-based environments. The involvement and importance of different combinations of cloud computing mechanisms in relation to these architectures are explored.
A Study of Data Storage Security Issues in Cloud Computing
Cloudcomputingprovidesondemandservicestoitsclients.Datastorageisamongoneoftheprimaryservices providedbycloudcomputing.Cloudserviceproviderhoststhedataofdataownerontheirserverandusercan accesstheirdatafromtheseservers.Asdata,ownersandserversaredifferentidentities,theparadigmofdata storagebringsupmanysecuritychallenges.Anindependentmechanismisrequiredtomakesurethatdatais correctlyhostedintothecloudstorageserver.Inthispaper,wewilldiscussthedifferenttechniquesthatare usedforsecuredatastorageoncloud. Cloud computing is a functional paradigm that is evolving and making IT utilization easier by the day for consumers. Cloud computing offers standardized applications to users online and in a manner that can be accessed regularly. Such applications can be accessed by as many persons as permitted within an organization without bothering about the maintenance of such application. The Cloud also provides a channel to design and deploy user applications including its storage space and database without bothering about the underlying operating system. The application can run without consideration for on premise infrastructure. Also, the Cloud makes massive storage available both for data and databases. Storage of data on the Cloud is one of the core activities in Cloud computing. Storage utilizes infrastructure spread across several geographical locations.
Decentralized access control with anonymous authentication of data stored in ...
TO GET THIS PROJECT THROUGH ONLINE OR TRAINING SESSION CONTACT:
LansA Informatics Pvt Ltd
No 165, 5th Street,
Crosscut road, Gandhipuram,
Coimbatore - 641 012
Landline: 0422 - 4204373
Mobile: +91 90 953 953 33
Email :lansa.projects@gmail.com
Website: www.lansainformatics.com
Blog: www.lansastudentscdc.blogspot.com
An Overview of Security in Distributed Database Management System
Databases are exceptionally familiar in businesses. The ordinary database is naturally held on a central server and people log in to the system to query or update the database. Still, there is an additional type of database known as a distributed database that bids advantages for some kinds of organization. This paper will examine the underlying features of the distributed database system and its security. Learning the task of distributed database management system will lead us to a successful design. Developing a successful distributed database system requires to address the importance of security issues that may arise and possibly compromise the access control and the integrity of the system. This paper propose some solutions for some security aspects such as multilevel access control, confidentiality, reliability, integrity and recovery that pertain to a distributed database system.
The NIST Definition of Cloud Computing
This document defines cloud computing and its key characteristics. Cloud computing provides on-demand access to shared computing resources like networks, servers, storage, applications and services that can be quickly provisioned with minimal management effort. It has essential characteristics of on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service. There are three service models - Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). Four deployment models of public, private, community and hybrid clouds are also defined.
microsoftazure.presentation
This document provides an overview of Microsoft Azure, including its evolution over time. It describes Azure as an open and flexible cloud platform that allows users to quickly deploy and manage applications across Microsoft's global network of datacenters. Azure provides platform as a service (PaaS) and allows users to build applications using any language, tools, or framework. It also helps integrate public cloud applications with existing on-premises IT environments. The document discusses Azure's components and services, pricing models, and advantages like scalability, availability, and eased management.
Privacy preserving public auditing for regenerating code based cloud storage
Ki-Tech Solutions IEEE PROJECTS DEVELOPMENTS WE OFFER IEEE PROJECTS MCA FINAL YEAR STUDENT PROJECTS, ENGINEERING PROJECTS AND TRAINING, PHP PROJECTS, JAVA AND J2EE PROJECTS, ASP.NET PROJECTS, NS2 PROJECTS, MATLAB PROJECTS AND IPT TRAINING IN RAJAPALAYAM, VIRUDHUNAGAR DISTRICTS, AND TAMILNADU. Mail to: kitechsolutions.in@gmail.com
Week 1 lecture material cc
Cloud computing provides on-demand access to shared computing resources like networks, servers, storage, applications and services. It has essential characteristics like on-demand self-service, broad network access, resource pooling and rapid elasticity. The cloud services models include Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). The deployment models are private cloud, community cloud, public cloud and hybrid cloud.
What's hot (20)
Privacy Preserving Public Auditing for Data Storage Security in Cloud
Privacy Preserving Public Auditing for Data Storage Security in Cloud
Crypto multi tenant an environment of secure computing using cloud sql
Crypto multi tenant an environment of secure computing using cloud sql
Security Requirement Specification Model for Cloud Computing Services
Security Requirement Specification Model for Cloud Computing Services
Distributed accountability for data sharing in cloud
Distributed accountability for data sharing in cloud
DDS-to-JSON and DDS Real-time Data Storage with MongoDB
DDS-to-JSON and DDS Real-time Data Storage with MongoDB
Identity based secure distributed data storage schemes
Identity based secure distributed data storage schemes
DATA STORAGE SECURITY CHALLENGES IN CLOUD COMPUTING
DATA STORAGE SECURITY CHALLENGES IN CLOUD COMPUTING
A Study of Data Storage Security Issues in Cloud Computing
A Study of Data Storage Security Issues in Cloud Computing
Decentralized access control with anonymous authentication of data stored in ...
Decentralized access control with anonymous authentication of data stored in ...
An Overview of Security in Distributed Database Management System
An Overview of Security in Distributed Database Management System
Privacy preserving public auditing for regenerating code based cloud storage
Privacy preserving public auditing for regenerating code based cloud storage
Similar to Distributed semantic search system (dsss)
Introduction to databasecasmfnbskdfjnfkjsdnsjkdfn
The document discusses different topics related to database systems and architectures. It begins with an introduction and agenda. It then defines what a database is and discusses the advantages of using a database management system (DBMS). The document reviews the history of database systems and some popular database management systems. It describes different architectures for multi-user database systems including two-tier client-server, three-tier client-server, and n-tier client-server models. Distributed and cloud-based database solutions are also summarized. Finally, the document defines what a data warehouse is and recaps the key topics discussed.
Cloud computing
The document provides an overview of cloud computing, including its key concepts and components. It discusses the different deployment models (public, private, hybrid, community clouds), service models (IaaS, PaaS, SaaS), characteristics, benefits, history and evolution. Communication protocols used in cloud computing like HTTP, HTTPS and various RPC implementations are also mentioned. The role of open standards in cloud architecture including virtualization, SOA, open-source software and web services is assessed.
Srs document for identity based secure distributed data storage schemes
This document provides a software requirements specification for an identity based secure distributed data storage scheme. It includes sections on introduction, overall description, system features, external interface requirements, and other non-functional requirements. The overall description provides an overview of the two proposed schemes - one that is secure against chosen plaintext attacks and another that is secure against chosen ciphertext attacks. It describes the user classes, operating environment, and design constraints. The system features section outlines the four main modules - data owner, proxy server, receiver, and data storage.
Data Tactics dhs introduction to cloud technologies wtc
Data Tactics Corporation is an established company that provides cloud computing and data management solutions. They operate several secure clouds for government customers and have experience hosting large scale data and applications. The document provides an overview of cloud computing definitions, models, and capabilities relevant for intelligence community applications. It describes Data Tactics' cloud solutions, experience, and the types of features and services they can provide such as scalable data storage, analytics, and user access tools.
Microservices Architecture - Cloud Native Apps
This document provides an overview of microservices architecture, including concepts, characteristics, infrastructure patterns, and software design patterns relevant to microservices. It discusses when microservices should be used versus monolithic architectures, considerations for sizing microservices, and examples of pioneers in microservices implementation like Netflix and Spotify. The document also covers domain-driven design concepts like bounded context that are useful for decomposing monolithic applications into microservices.
Bangladesh Bank Assistant Maintenance Engineer Question Solution.
Maintenance Engineer Question Solution of Bangladesh Bank. assistant programmer job preparation Bangladesh bank
IRJET- Single to Multi Cloud Data Security in Cloud Computing
1) The document discusses security issues with storing data on a single cloud and proposes using a multi-cloud approach to increase security. It explores using encryption algorithms like AES and secret sharing to secure data across multiple clouds.
2) The key aspects of the proposed work are to store and operate on data blocks efficiently while preventing unauthorized access through encryption, decryption, and blocking of user IP addresses by the admin.
3) Migrating from a single cloud to a multi-cloud approach helps reduce security risks by distributing data across multiple cloud providers rather than relying on a single provider.
Data Lake and the rise of the microservices
By simply looking at structured and unstructured data, Data Lakes enable companies to understand correlations between existing and new external data - such as social media - in ways traditional Business Intelligence tools cannot.
For this you need to find out the most efficient way to store and access structured or unstructured petabyte-sized data across your entire infrastructure.
In this meetup we’ll give answers on the next questions:
1. Why would someone use a Data Lake?
2. Is it hard to build a Data Lake?
3. What are the main features that a Data Lake should bring in?
4. What’s the role of the microservices in the big data world?
Unit i introduction to grid computing
Grid computing is the sharing of computer resources from multiple administrative domains to achieve common goals. It allows for independent, inexpensive access to high-end computational capabilities. Grid computing federates resources like computers, data, software and other devices. It provides a single login for users to access distributed resources for tasks like drug discovery, climate modeling and other data-intensive applications. Current grids are used for distributed supercomputing, high-throughput computing, on-demand computing and other methods. Grids benefit scientists, engineers and other users who need to solve large problems or collaborate globally.
Cloud computing ppt
This document provides an overview of cloud computing. It defines cloud computing as manipulating, configuring, and accessing applications online through virtualization of network resources that are managed and maintained remotely. The key components of cloud infrastructure are servers, storage, networking hardware, management software, deployment platforms, and hypervisors that allow sharing of physical resources. There are various cloud deployment models including public, private, hybrid, and community clouds. In addition, the document outlines several cloud service models such as IaaS, PaaS, SaaS, and IDaaS. Technologies that enable cloud computing are also discussed, including virtualization, service-oriented architecture, grid computing, and utility computing.
gkkCloudtechnologyassociate(cta)day 1
The document provides information about a cloud technology associate certification course, including details about the course, benefits of pursuing cloud certification through an unemployment program, and an overview of cloud computing concepts. The first day focuses on introductions, an overview of cloud characteristics and service models, the evolution of cloud from earlier computing approaches, cloud architectures, and benefits and limitations of cloud computing. The trainer has extensive experience in IT management and multiple technical certifications.
Brad stack - Digital Health and Well-Being Festival
Brad Stack - slides presented by Mumtaz Kamala from the University of Bradfird at our Digital Health and Well-Being Festival
Grid computing 2007
Grid computing allows for the sharing and coordinated use of distributed computing resources. It enables organizations to share idle computing systems and resources. Key benefits include exploiting underutilized resources, enabling large-scale parallel processing and collaboration, and providing access to additional resources. Common applications involve scientific research where data is collected and stored across different sites and organizations and requires large-scale analysis.
LDSS for mobile cloud
The document describes a proposed Lightweight Data Sharing Scheme (LDSS) for mobile cloud computing. It aims to provide secure data sharing and efficient access control for resource-constrained mobile devices. The key aspects are:
1. It uses Attribute-Based Encryption (ABE) and outsources computationally intensive encryption/decryption tasks to proxy servers, reducing overhead on mobile devices.
2. The access structure is modified to be suitable for mobile cloud scenarios and lazy revocation is introduced to reduce revocation costs.
3. A prototype framework is implemented to evaluate LDSS, showing it can greatly reduce client-side overhead while introducing minimal additional costs on the server side.
WK10Section 3
The document outlines a final project plan for presenting a proposed network infrastructure upgrade. It includes sections on the company profile, current and proposed network plans, database schema, entity relationship diagrams, data flow diagrams, costs, risks, and security considerations. The proposed plan expands the network to 3 floors, implements cloud computing and virtualization, upgrades the database and security, and aims to improve workflow, data access, and services for a growing client base.
Anil Info
Anil Kumar Mullapudi is seeking a challenging role in IT infrastructure management. He has over 3 years of experience as a technical consultant and NOC engineer. His skills include administering Linux, Windows, networks, AWS, monitoring tools like Nagios and Copper Egg. He is Red Hat and Windows Server certified. His experience includes projects with CipherCloud, GSS Infotech, and Euler Hermes involving tasks like installing servers, managing storage, security, monitoring, troubleshooting, documentation.
An Overview To Cloud Computing
This document provides an overview of cloud computing, including its key concepts, models, and advantages. The main points are:
- Cloud computing provides on-demand access to computing resources like servers, storage, databases, and applications via the internet. It allows users to avoid upfront infrastructure costs.
- The major cloud service models are Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). SaaS provides access to applications, PaaS provides development platforms, and IaaS provides basic computing resources.
- The key benefits of cloud computing include cost savings, flexibility, scalability, and accessibility of resources from anywhere via
Associated IoT Technologies.pptx
Cloud Computing: Introduction, Virtualization, Cloud Models, Service-Level Agreement in Cloud Computing, Cloud Implementation, Sensor-Cloud: Sensors-as-a-Service
A proposed Solution: Data Availability and Error Correction in Cloud Computing
The document proposes a solution to data availability and error correction in cloud computing using a RAID 51 architecture. RAID 51 combines RAID 1 and RAID 5 architectures. RAID 1 creates a mirror copy of data across disks for high availability. RAID 5 uses block-level striping with parity data distributed across disks for error correction. The proposed RAID 51 model uses a RAID 5 configuration under each RAID 1 mirror, allowing the system to sustain failure of disks in either RAID 5 array as well as one additional disk, avoiding data loss. This provides both data availability through mirroring and error correction capabilities.
CLOUD COMPUTING AND STORAGE
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.
Similar to Distributed semantic search system (dsss) (20)
Srs document for identity based secure distributed data storage schemes
Srs document for identity based secure distributed data storage schemes
Data Tactics dhs introduction to cloud technologies wtc
Data Tactics dhs introduction to cloud technologies wtc
Bangladesh Bank Assistant Maintenance Engineer Question Solution.
Bangladesh Bank Assistant Maintenance Engineer Question Solution.
IRJET- Single to Multi Cloud Data Security in Cloud Computing
IRJET- Single to Multi Cloud Data Security in Cloud Computing
Brad stack - Digital Health and Well-Being Festival
Brad stack - Digital Health and Well-Being Festival
A proposed Solution: Data Availability and Error Correction in Cloud Computing
A proposed Solution: Data Availability and Error Correction in Cloud Computing
Recently uploaded
Artificial Intelligence for XMLDevelopment
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
HCL Notes and Domino License Cost Reduction in the World of DLAU
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
20240605 QFM017 Machine Intelligence Reading List May 2024
Everything I found interesting about machines behaving intelligently during May 2024
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
ここ3000字までしか入らないけどタイトルの方がたくさん文字入ると思います。
Choosing The Best AWS Service For Your Website + API.pptx
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?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
Fueling AI with Great Data with Airbyte Webinar
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.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Programming Foundation Models with DSPy - Meetup Slides
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
TrustArc Webinar - 2024 Global Privacy Survey
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Building Production Ready Search Pipelines with Spark and Milvus
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
Ocean lotus Threat actors project by John Sitima 2024 (1).pptx
Ocean Lotus cyber threat actors represent a sophisticated, persistent, and politically motivated group that poses a significant risk to organizations and individuals in the Southeast Asian region. Their continuous evolution and adaptability underscore the need for robust cybersecurity measures and international cooperation to identify and mitigate the threats posed by such advanced persistent threat groups.
Full-RAG: A modern architecture for hyper-personalization
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
Video Streaming: Then, Now, and in the Future
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Best 20 SEO Techniques To Improve Website Visibility In SERP
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
UiPath Test Automation using UiPath Test Suite series, part 6
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Climate Impact of Software Testing at Nordic Testing Days
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Recently uploaded (20)
HCL Notes and Domino License Cost Reduction in the World of DLAU
HCL Notes and Domino License Cost Reduction in the World of DLAU
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
20240605 QFM017 Machine Intelligence Reading List May 2024
20240605 QFM017 Machine Intelligence Reading List May 2024
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
Choosing The Best AWS Service For Your Website + API.pptx
Choosing The Best AWS Service For Your Website + API.pptx
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Programming Foundation Models with DSPy - Meetup Slides
Programming Foundation Models with DSPy - Meetup Slides
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Building Production Ready Search Pipelines with Spark and Milvus
Building Production Ready Search Pipelines with Spark and Milvus
Ocean lotus Threat actors project by John Sitima 2024 (1).pptx
Ocean lotus Threat actors project by John Sitima 2024 (1).pptx
Full-RAG: A modern architecture for hyper-personalization
Full-RAG: A modern architecture for hyper-personalization
Best 20 SEO Techniques To Improve Website Visibility In SERP
Best 20 SEO Techniques To Improve Website Visibility In SERP
UiPath Test Automation using UiPath Test Suite series, part 6
UiPath Test Automation using UiPath Test Suite series, part 6
Climate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing Days
Distributed semantic search system (dsss)
- 1. Distributed Semantic Search System (DSSS) Distributed Computing Concepts for Artificial Intelligence
- 2. Team Members • • • • 01. A.M. Tharindu B. Adhikari 02. I.P.V. Vithana Pathirage 03. Nimesh Tharuka Kaluarachchi 04. Pahan Sri Madusanka Rodrigo MSCAI/12/04 MSCAI/12/09 MSCAI/12/10 MSCAI/12/15 Distributed Computing Concepts for Artificial Intelligence
- 3. Challenge (Identified problem) Today there is a large explosion of Cloud-based systems on internet. Representative is our Project, searching file, which enables users in cloud systems to search for and download files, documents, images, play lists, software and videos. One of the existing problems is how to manage secure access and bill the engaging parties. Distributed Computing Concepts for Artificial Intelligence
- 4. Distributed Computing Concepts for Artificial Intelligence
- 5. Program Description (1) Functional Requirements: • This system follows a client – server architecture. • Its server maintains a repository of XML/RDF documents. • Users through client, place a query and gets documents by their name. Distributed Computing Concepts for Artificial Intelligence
- 6. Program Description (2) Non Functional Requirements: (2.1) High Availability: • This system provides failure transparency. • Designated client would monitor the server liveness. • This system assumes that all servers have access to a highly available file system at the back-end and do not replicate the repository. (2.2) Reliability: • Upon a server crash, the client would notify all pending requests about the failure. • Exception mechanism would be implemented to catch exceptional conditions. • Client failures would be detected by the server and would not block server resources. Distributed Computing Concepts for Artificial Intelligence
- 7. Program Description (2.3) Concurrency and Consistency: • Synchronization would be designed to ensure the safety. • The users would not get mixed versions of documents. (2.4) Performance: • The system design would exploit multi threading in order to enhance response time and system throughput. (2.5) Caching and Coherency: • Client caching for documents would be allowed to improve retrieval performance. • Cache coherency mechanism would be employed. (2.6) Scalability: • Architecture would be scales up to large number of users and documents. Distributed Computing Concepts for Artificial Intelligence
- 8. Three-tier architecture Distributed Computing Concepts for Artificial Intelligence
- 9. Specializations The DSS major offers 5 specializations, each at a different location. To meet the requirements for geographic mobility, the chosen exit point needs to differ from the chosen entry point. • Mobile Services • Cloud Operation • Cloud Infrastructures • Data Intensive Computing • Distributed Information Management Distributed Computing Concepts for Artificial Intelligence
- 10. Demo Distributed Computing Concepts for Artificial Intelligence
- 11. Server Configuration Distributed Computing Concepts for Artificial Intelligence
- 12. Thank You ! Distributed Computing Concepts for Artificial Intelligence