MISC 2010 Presentation

•Als PPT, PDF herunterladen•

0 gefällt mir•323 views

Quentin Reul

Presentation on how to use ontologies in access control systems.

Technologie Bildung

Ontology-based Access Control Policy Interoperability Quentin Reul, Gang Zhao, and Robert Meersman

Overview ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Ontology-based Interoperability Traditional Ω Sys A Sys C Sys B Sys D Sys E Sys A Sys C Sys B Sys D Sys E

Access Control Policy Interoperability (I) ,[object Object],[object Object],[object Object],[object Object]

Access Control Policy Interoperability (II) System B Sys A PEP PDP request (A,T,{N,V}) Interpreter Ω

What is an ontology ? ,[object Object],[object Object],[object Object],[object Object],[object Object]

Triangle of Meaning Thing Symbol “ Person ” evokes stands for relates to

DOGMA ,[object Object],[object Object],[object Object],[object Object]

Lexons to RDF Person Name Identifier has of has of

Security Policy Ontology (I) ,[object Object],[object Object]

Conclusion ,[object Object],[object Object]

DOGMA Reference ,[object Object],[object Object],[object Object]

Weitere ähnliche Inhalte

Ähnlich wie MISC 2010 Presentation

Ontologisms have been applied to many applications in recent years, especially on Sematic Web, Information Retrieval, Information Extraction, and Question and Answer. The purpose of domain-specific ontology is to get rid of conceptual and terminological confusion. It accomplishes this by specifying a set of generic concepts that characterizes the domain as well as their definitions and interrelationships. This paper will describe some algorithms for identifying semantic relations and constructing an Information Technology Ontology, while extracting the concepts and objects from different sources. The Ontology is constructed based on three main resources: ACM, Wikipedia and unstructured files from ACM Digital Library. Our algorithms are combined of Natural Language Processing and Machine Learning. We use Natural Language Processing tools, such as OpenNLP, Stanford Lexical Dependency Parser in order to explore sentences. We then extract these sentences based on English pattern in order to build training set. We use a random sample among 245 categories of ACM to evaluate our results. Results generated show that our system yields superior performance.

Identifying the semantic relations on

ijistjournal

Dc32644652

IJERA Editor

Traffic analysis is a process of great importance, when it comes in securing a network. This analysis can be classified in different levels and one of most interest is Deep Packet Inspection (DPI). DPI is a very effective way of monitoring the network, since it performs traffic control over mostly of the OSI model’s layers (from L3 to L7). Regular Expressions (RegExp) on the other hand is used in computer science and can make use of a group of characters, in order to create a searching pattern. This technique can be combined with a series of mathematical algorithms for helping the individual to quickly find out the search pattern within a text and even replace it with another value. In this paper, we aim to prove that the use of Regular Expressions is much more productive and effective when used for creating matching rules needed in DPI. We design, test and put into comparison Regular Expression rules and compare it against the conventional methods. In addition to the above, we have created a case study of detecting EternalBlue and DoublePulsar threats, in order to point out the practical and realistic value of our proposal.

Improving Intrusion Detection with Deep Packet Inspection and Regular Express...

IJCSIS Research Publications

Privacy Preserving Record Linkage (PPRL) is a major area of database research which entangles in colluding huge multiple heterogeneous data sets with disjunctive or additional information about an entity while veiling its private information. This paper gives an enhanced algorithm for merging two datasets using Sorted Neighborhood Deterministic approach and an improved Preservation algorithm which makes use of automatic selection of sensitive attributes and pattern mining over dynamic queries. We guarantee strong privacy, less computational complexity and scalability and address the legitimate concerns over data security and privacy with our approach.

Detection and Privacy Preservation of Sensitive Attributes Using Hybrid Appro...

rahulmonikasharma

Due to the increasing amount and complexity of digital resources, there are several critical issues that arise in digital environments such as ill-structured and poor management of digital information. Different information organization approaches have been used to address these issues. In particular, Semantic Web has been explored for 10 years; however there are not many practical applications. This is in part due to the fact that much attention has been given to the creation rather than the migration of existing data. In addition, the lack of guidelines for choosing the right migration approach, whether Topic Maps or Resource Description Framework (RDF), needs to be addressed. This paper presents a comparison of Semantic Web Data Models (Topic Maps and RDF), followed by an example of migration of existing metadata into ontology-based data for Semantic Web.

A Topic map-based ontology IR system versus Clustering-based IR System: A Com...

tmra

Literature Based Framework for Semantic Descriptions of e-Science resources

Hammad Afzal

Context Sensitive Relatedness Measure of Word Pairs

IJCSIS Research Publications

Over the rim version 2

eyetech

Semantic Interoperability and Information Brokering in Global Information Sys...

Amit Sheth

A0210110

inventionjournals

The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published. The papers for publication in The International Journal of Engineering& Science are selected through rigorous peer reviews to ensure originality, timeliness, relevance, and readability. Theoretical work submitted to the Journal should be original in its motivation or modeling structure. Empirical analysis should be based on a theoretical framework and should be capable of replication. It is expected that all materials required for replication (including computer programs and data sets) should be available upon request to the authors.

A03730108

theijes

Semantische Interoperatibiliteit Ngi 2008(Final)

Richard Claassens CIPPE

Ijetcas14 639

Iasir Journals

A semantic framework and software design to enable the transparent integratio...

Patricia Tavares Boralli

Ontology is applied to impart knowledge in various fields of Information Technology made it more intelligent in the past few decades. Many Ontologies was built on various domains like biology, medicine,physics, chemistry, and mathematics. The Ontology in computer science domain are limited and even the Ontology is not explored in detail. The knowledge in the field of computer networks is very large, which makes it more difficult for a human to expertise in. This paper proposes the Ontology in computer network domain on various perspectives like scope, scale, topology, communication media, OSI model, TCP/ IP model, protocol, security, network operating system, network hardware and performance. The Ontology is developed in OWL format, which can be easily integrated with any other semantic based applications. The network Ontology can be employed in Semantic Web applications to help the users to search for concepts computer networks domain

AN ONTOLOGY FOR EXPLORING KNOWLEDGE IN COMPUTER NETWORKS

ijcsa

D017422528

IOSR Journals

Text databases and information retrieval

unyil96

Dc32644652

IJERA Editor

International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.

Hu3414421448

IJERA Editor

International Journal of Computational Engineering Research(IJCER)

ijceronline

Ähnlich wie MISC 2010 Presentation (20)

Identifying the semantic relations on

Dc32644652

Improving Intrusion Detection with Deep Packet Inspection and Regular Express...

Detection and Privacy Preservation of Sensitive Attributes Using Hybrid Appro...

A Topic map-based ontology IR system versus Clustering-based IR System: A Com...

Literature Based Framework for Semantic Descriptions of e-Science resources

Context Sensitive Relatedness Measure of Word Pairs

Over the rim version 2

Semantic Interoperability and Information Brokering in Global Information Sys...

A0210110

A03730108

Semantische Interoperatibiliteit Ngi 2008(Final)

Ijetcas14 639

A semantic framework and software design to enable the transparent integratio...

AN ONTOLOGY FOR EXPLORING KNOWLEDGE IN COMPUTER NETWORKS

D017422528

Text databases and information retrieval

Dc32644652

Hu3414421448

International Journal of Computational Engineering Research(IJCER)

Kürzlich hochgeladen

The presentation explores the development and application of artificial intelligence (AI) from its inception to its current status in the modern world. The term "artificial intelligence" was first coined by John McCarthy in 1956 to describe efforts to develop computer programs capable of performing tasks that typically require human intelligence. This concept was first introduced at a conference held at Dartmouth College, where programs demonstrated capabilities such as playing chess, proving theorems, and interpreting texts. In the early stages, Alan Turing contributed to the field by defining intelligence as the ability of a being to respond to certain questions intelligently, proposing what is now known as the Turing Test to evaluate the presence of intelligent behavior in machines. As the decades progressed, AI evolved significantly. The 1980s focused on machine learning, teaching computers to learn from data, leading to the development of models that could improve their performance based on their experiences. The 1990s and 2000s saw further advances in algorithms and computational power, which allowed for more sophisticated data analysis techniques, including data mining. By the 2010s, the proliferation of big data and the refinement of deep learning techniques enabled AI to become mainstream. Notable milestones included the success of Google's AlphaGo and advancements in autonomous vehicles by companies like Tesla and Waymo. A major theme of the presentation is the application of generative AI, which has been used for tasks such as natural language text generation, translation, and question answering. Generative AI uses large datasets to train models that can then produce new, coherent pieces of text or other media. The presentation also discusses the ethical implications and the need for regulation in AI, highlighting issues such as privacy, bias, and the potential for misuse. These concerns have prompted calls for comprehensive regulations to ensure the safe and equitable use of AI technologies. Artificial intelligence has also played a significant role in healthcare, particularly highlighted during the COVID-19 pandemic, where it was used in drug discovery, vaccine development, and analyzing the spread of the virus. The capabilities of AI in healthcare are vast, ranging from medical diagnostics to personalized medicine, demonstrating the technology's potential to revolutionize fields beyond just technical or consumer applications. In conclusion, AI continues to be a rapidly evolving field with significant implications for various aspects of society. The development from theoretical concepts to real-world applications illustrates both the potential benefits and the challenges that come with integrating advanced technologies into everyday life. The ongoing discussion about AI ethics and regulation underscores the importance of managing these technologies responsibly to maximize their their benefits while minimizing potential harms.

Artificial Intelligence: Facts and Myths

Joaquim Jorge

Following the popularity of "Cloud Revolution: Exploring the New Wave of Serverless Spatial Data," we're thrilled to announce this much-anticipated encore webinar. In this sequel, we'll dive deeper into the Cloud-Native realm by uncovering practical applications and FME support for these new formats, including COGs, COPC, FlatGeoBuf, GeoParquet, STAC, and ZARR. Building on the foundation laid by industry leaders Michelle Roby of Radiant Earth and Chris Holmes of Planet in the first webinar, this second part offers an in-depth look at the real-world application and behind-the-scenes dynamics of these cutting-edge formats. We will spotlight specific use-cases and workflows, showcasing their efficiency and relevance in practical scenarios. Discover the vast possibilities each format holds, highlighted through detailed discussions and demonstrations. Our expert speakers will dissect the key aspects and provide critical takeaways for effective use, ensuring attendees leave with a thorough understanding of how to apply these formats in their own projects. Elevate your understanding of how FME supports these cutting-edge technologies, enhancing your ability to manage, share, and analyze spatial data. Whether you're building on knowledge from our initial session or are new to the serverless spatial data landscape, this webinar is your gateway to mastering cloud-native formats in your workflows.

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME

Safe Software

Scaling API-first – The story of a global engineering organization Ian Reasor, Senior Computer Scientist - Adobe Radu Cotescu, Senior Computer Scientist - Adobe Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/

Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe

apidays

As privacy and data protection regulations evolve rapidly, organizations operating in multiple jurisdictions face mounting challenges to ensure compliance and safeguard customer data. With state-specific privacy laws coming up in multiple states this year, it is essential to understand what their unique data protection regulations will require clearly. How will data privacy evolve in the US in 2024? How to stay compliant? Our panellists will guide you through the intricacies of these states' specific data privacy laws, clarifying complex legal frameworks and compliance requirements. This webinar will review: - The essential aspects of each state's privacy landscape and the latest updates - Common compliance challenges faced by organizations operating in multiple states and best practices to achieve regulatory adherence - Valuable insights into potential changes to existing regulations and prepare your organization for the evolving landscape

TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments

TrustArc

Join our latest Connector Corner webinar to discover how UiPath Integration Service revolutionizes API-centric automation in a 'Quote to Cash' process—and how that automation empowers businesses to accelerate revenue generation. A comprehensive demo will explore connecting systems, GenAI, and people, through powerful pre-built connectors designed to speed process cycle times. Speakers: James Dickson, Senior Software Engineer Charlie Greenberg, Host, Product Marketing Manager

Connector Corner: Accelerate revenue generation using UiPath API-centric busi...

DianaGray10

The Good, the Bad and the Governed - Why is governance a dirty word? David O'Neill, Chief Operating Officer - APIContext Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/

Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...

apidays

Axa Assurance Maroc - Insurer Innovation Award 2024

The Digital Insurer

This presentation explores the impact of HTML injection attacks on web applications, detailing how attackers exploit vulnerabilities to inject malicious code into web pages. Learn about the potential consequences of such attacks and discover effective mitigation strategies to protect your web applications from HTML injection vulnerabilities. for more information visit https://bostoninstituteofanalytics.org/category/cyber-security-ethical-hacking/

HTML Injection Attacks: Impact and Mitigation Strategies

Boston Institute of Analytics

Abhishek Deb(1), Mr Abdul Kalam(2) M. Des (UX) , School of Design, DIT University , Dehradun. This paper explores the future potential of AI-enabled smartphone processors, aiming to investigate the advancements, capabilities, and implications of integrating artificial intelligence (AI) into smartphone technology. The research study goals consist of evaluating the development of AI in mobile phone processors, analyzing the existing state as well as abilities of AI-enabled cpus determining future patterns as well as chances together with reviewing obstacles as well as factors to consider for more growth.

Exploring the Future Potential of AI-Enabled Smartphone Processors

debabhi2

Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024

The Digital Insurer

Three things you will take away from the session: • How to run an effective tenant-to-tenant migration • Best practices for before, during, and after migration • Tips for using migration as a springboard to prepare for Copilot in Microsoft 365 Main ideas: Migration Overview: The presentation covers the current reality of cross-tenant migrations, the triggers, phases, best practices, and benefits of a successful tenant migration Considerations: When considering a migration, it is important to consider the migration scope, performance, customization, flexibility, user-friendly interface, automation, monitoring, support, training, scalability, data integrity, data security, cost, and licensing structure Next Wave: The next wave of change includes the launch of Copilot, which requires businesses to be prepared for upcoming changes related to Copilot and the cloud, and to consolidate data and tighten governance ShareGate: ShareGate can help with pre-migration analysis, configurable migration tool, and automated, end-user driven collaborative governance

Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff

sammart93

GenAI Risks & Security Meetup 01052024.pdf

lior mazor

Automating Google Workspace (GWS) & more with Apps Script

wesley chun

ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke

Product Anonymous

Artificial Intelligence Chap.5 : Uncertainty

Khushali Kathiriya

2024: Domino Containers - The Next Step. News from the Domino Container commu...

Martijn de Jong

AWS Community Day CPH - Three problems of Terraform

Andrey Devyatkin

Tata AIG General Insurance Company - Insurer Innovation Award 2024

The Digital Insurer

The 7 Things I Know About Cyber Security After 25 Years | April 2024

Rafal Los

Imagine a world where information flows as swiftly as thought itself, making decision-making as fluid as the data driving it. Every moment is critical, and the right tools can significantly boost your organization’s performance. The power of real-time data automation through FME can turn this vision into reality. Aimed at professionals eager to leverage real-time data for enhanced decision-making and efficiency, this webinar will cover the essentials of real-time data and its significance. We’ll explore: FME’s role in real-time event processing, from data intake and analysis to transformation and reporting An overview of leveraging streams vs. automations FME’s impact across various industries highlighted by real-life case studies Live demonstrations on setting up FME workflows for real-time data Practical advice on getting started, best practices, and tips for effective implementation Join us to enhance your skills in real-time data automation with FME, and take your operational capabilities to the next level.

From Event to Action: Accelerate Your Decision Making with Real-Time Automation

Safe Software

Kürzlich hochgeladen (20)

Artificial Intelligence: Facts and Myths

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME

Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe

TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments

Connector Corner: Accelerate revenue generation using UiPath API-centric busi...

Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...

Axa Assurance Maroc - Insurer Innovation Award 2024

HTML Injection Attacks: Impact and Mitigation Strategies

Exploring the Future Potential of AI-Enabled Smartphone Processors

Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024

Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff

GenAI Risks & Security Meetup 01052024.pdf

Automating Google Workspace (GWS) & more with Apps Script

ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke

Artificial Intelligence Chap.5 : Uncertainty

2024: Domino Containers - The Next Step. News from the Domino Container commu...

AWS Community Day CPH - Three problems of Terraform

Tata AIG General Insurance Company - Insurer Innovation Award 2024

The 7 Things I Know About Cyber Security After 25 Years | April 2024

From Event to Action: Accelerate Your Decision Making with Real-Time Automation