Details how to use policy rule templates to manage content access rules. Avoiding the pitfalls of the ABAC approach. Providing a method for policy analysts to quickly markup content without requiring deep programming knowledge.
Hadoop Online Training : kelly technologies is the bestHadoop online Training Institutes in Bangalore. ProvidingHadoop online Training by real time faculty in Bangalore.
Executive introduction to using Oracle BPM and open data web services to drive workflow collaborations.
A Child Welfare Case Management and Court filing application is show cased.
The technical "how to" build directions are covered in Part 2
JPJ1452 Privacy-Enhanced Web Service Compositionchennaijp
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We are good IEEE java projects development center in Chennai and Pondicherry. We guided advanced java technologies projects of cloud computing, data mining, Secure Computing, Networking, Parallel & Distributed Systems, Mobile Computing and Service Computing (Web Service).
For More Details:
http://jpinfotech.org/final-year-ieee-projects/2014-ieee-projects/java-projects/
Data Mesh is the decentralized architecture where your units of architecture is a domain driven data set that is treated as a product owned by domains or teams that most intimately know that data either creating it or they are consuming it and re-sharing it and allocated specific roles that have the accountability and the responsibility to provide that data as a product abstracting away complexity into infrastructure layer a self-serve infrastructure layer so that create these products more much more easily.
Multi-faceted Classification of Big Data Use Cases and Proposed Architecture ...Geoffrey Fox
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Keynote at Sixth International Workshop on Cloud Data Management CloudDB 2014 Chicago March 31 2014.
Abstract: We introduce the NIST collection of 51 use cases and describe their scope over industry, government and research areas. We look at their structure from several points of view or facets covering problem architecture, analytics kernels, micro-system usage such as flops/bytes, application class (GIS, expectation maximization) and very importantly data source.
We then propose that in many cases it is wise to combine the well known commodity best practice (often Apache) Big Data Stack (with ~120 software subsystems) with high performance computing technologies.
We describe this and give early results based on clustering running with different paradigms.
We identify key layers where HPC Apache integration is particularly important: File systems, Â Cluster resource management, File and object data management, Â Inter process and thread communication, Analytics libraries, Workflow and Monitoring.
See
[1] A Tale of Two Data-Intensive Paradigms: Applications, Abstractions, and Architectures, Shantenu Jha, Judy Qiu, Andre Luckow, Pradeep Mantha and Geoffrey Fox, accepted in IEEE BigData 2014, available at: http://arxiv.org/abs/1403.1528
[2] High Performance High Functionality Big Data Software Stack, G Fox, J Qiu and S Jha, in Big Data and Extreme-scale Computing (BDEC), 2014. Fukuoka, Japan. http://grids.ucs.indiana.edu/ptliupages/publications/HPCandApacheBigDataFinal.pdf
Hadoop Online Training : kelly technologies is the bestHadoop online Training Institutes in Bangalore. ProvidingHadoop online Training by real time faculty in Bangalore.
Executive introduction to using Oracle BPM and open data web services to drive workflow collaborations.
A Child Welfare Case Management and Court filing application is show cased.
The technical "how to" build directions are covered in Part 2
JPJ1452 Privacy-Enhanced Web Service Compositionchennaijp
Â
We are good IEEE java projects development center in Chennai and Pondicherry. We guided advanced java technologies projects of cloud computing, data mining, Secure Computing, Networking, Parallel & Distributed Systems, Mobile Computing and Service Computing (Web Service).
For More Details:
http://jpinfotech.org/final-year-ieee-projects/2014-ieee-projects/java-projects/
Data Mesh is the decentralized architecture where your units of architecture is a domain driven data set that is treated as a product owned by domains or teams that most intimately know that data either creating it or they are consuming it and re-sharing it and allocated specific roles that have the accountability and the responsibility to provide that data as a product abstracting away complexity into infrastructure layer a self-serve infrastructure layer so that create these products more much more easily.
Multi-faceted Classification of Big Data Use Cases and Proposed Architecture ...Geoffrey Fox
Â
Keynote at Sixth International Workshop on Cloud Data Management CloudDB 2014 Chicago March 31 2014.
Abstract: We introduce the NIST collection of 51 use cases and describe their scope over industry, government and research areas. We look at their structure from several points of view or facets covering problem architecture, analytics kernels, micro-system usage such as flops/bytes, application class (GIS, expectation maximization) and very importantly data source.
We then propose that in many cases it is wise to combine the well known commodity best practice (often Apache) Big Data Stack (with ~120 software subsystems) with high performance computing technologies.
We describe this and give early results based on clustering running with different paradigms.
We identify key layers where HPC Apache integration is particularly important: File systems, Â Cluster resource management, File and object data management, Â Inter process and thread communication, Analytics libraries, Workflow and Monitoring.
See
[1] A Tale of Two Data-Intensive Paradigms: Applications, Abstractions, and Architectures, Shantenu Jha, Judy Qiu, Andre Luckow, Pradeep Mantha and Geoffrey Fox, accepted in IEEE BigData 2014, available at: http://arxiv.org/abs/1403.1528
[2] High Performance High Functionality Big Data Software Stack, G Fox, J Qiu and S Jha, in Big Data and Extreme-scale Computing (BDEC), 2014. Fukuoka, Japan. http://grids.ucs.indiana.edu/ptliupages/publications/HPCandApacheBigDataFinal.pdf
The first workshop of the series "Services to support FAIR data" took place in Prague during the EOSC-hub week (on April 12, 2019).
Speaker: Kostas Repanas (EC DG RTD)
An overview of the new Data Exchange for SaaS Usage Model is provided in this session. This usage model addresses the challenges that many organizations face when exchanging data with a SaaS provider. It also describes steps organizations can take in the planning and implementation phases to remediate these challenges.
Oracle BPM Adaptive Case Management 2014Bizagi Inc
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Learn about the game changing adaptive case management features of business process management (BPM). The concepts and capabilities are introduced along, how this extends BPMN, and shows how Oracle BPM supports these capabilities out the box. Allowing you to build sophisticated case management solutions easily.
The first workshop of the series "Services to support FAIR data" took place in Prague during the EOSC-hub week (on April 12, 2019).
Speaker: Kostas Repanas (EC DG RTD)
An overview of the new Data Exchange for SaaS Usage Model is provided in this session. This usage model addresses the challenges that many organizations face when exchanging data with a SaaS provider. It also describes steps organizations can take in the planning and implementation phases to remediate these challenges.
Oracle BPM Adaptive Case Management 2014Bizagi Inc
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Learn about the game changing adaptive case management features of business process management (BPM). The concepts and capabilities are introduced along, how this extends BPMN, and shows how Oracle BPM supports these capabilities out the box. Allowing you to build sophisticated case management solutions easily.
Introducing Open XDX Technology for Open Data API developmentBizagi Inc
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Introduction to the concepts of Open-XDX for building Open Data APIs using the CAMeditor toolkit. See also http://www.verifyXML.org for working online demonstration site.
For online demonstration site please see: http://www.verifyxml.org
Guide to using the CAMV test suite approach for XML testing. Download CAMV open source tool from http://www.cameditor.org and see videos here: http://www.youtube.com/watch?v=yaCwiIX5lM4
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
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I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
Dev Dives: Train smarter, not harder â active learning and UiPath LLMs for do...UiPathCommunity
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đĨ Speed, accuracy, and scaling â discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Miningâĸ:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing â with little to no training required
Get an exclusive demo of the new family of UiPath LLMs â GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
đ¨âđĢ Andras Palfi, Senior Product Manager, UiPath
đŠâđĢ Lenka Dulovicova, Product Program Manager, UiPath
JMeter webinar - integration with InfluxDB and GrafanaRTTS
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Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overviewâ
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Â
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
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91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
Â
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Â
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as âpredictable inferenceâ.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
Â
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
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Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
2. EXECUTIVE OVERVIEW
Managing information privacy and access policies has
become a critical need and technical challenge. The
desired solution should be ubiquitous, syntax neutral but a
simple and lightweight approach that meets the legal policy
requirements though the application of clear, consistent
and obvious assertions.
Today we have low-level tools that developers know how to
implement with, and we have legal documents created by
lawyers, but then there is a chasm between these two
worlds.
2
3. LEGAL AND RULES TECHNOLOGIES
The RuleML community has long understood this and
developed and is developing new and improved methods and
solutions. The challenge is in taking these approaches and
being able to apply these to NIEM XML based information
sources in a high level conceptual way that is accessible to
information analysts and general NIEM practitioners, rather
than the provence of specialized XML-programmers only.
Then we also need these techniques to be broadly
applicable, using existing open public software standards
and tools so we can enable the widest possible adoption
within the NIEM community.
3
4. APPROACH
The solution we are introducing will:
ī Provide a clear declarative assertions based method, founded
on policy approaches developed by the rules community,
ī Leveraging open software standards and tools and
ī Enabling business information analysts to apply and manage
the policy profiles
Show illustrative design time and run time examples by:
ī Visually assigning exchange components and rule assertions
ī Show applying this to retrieval of documents stored with
registry and repository services.
4
5. APPLICATION SCENARIO OVERVIEW
Electronic Policy Statements 5
Policy Rules
Portal
User
Dashboard
1
Apply Policy Rules to Requested
Case Content
4
Users see only
information
permitted by
their role and
policy profile
Request
Output
Templates
Output
Templates
Information
Requests
2
Case Management
Registry
Services
3
Output
Templates
Output
Templates
Case
Documents
XML
Response
Output
Templates
Output
Templates
Requested
Information
5
User
Profiles
6. PRESENTATION AGENDA
ī Part 1
īProblem introduction and policy methods
overview
ī Part 2
īDesign time technical walkthrough of rule
assertions example
ī Part 3
īRun time deployment with registry services
7. PART 1 â PROBLEM INTRODUCTION
Policy Methods Overview
8. USE CASE â SAR CASE MANAGEMENT
ī Three levels of information access
ī Citizen level reporting - SAR statistics
ī Local law enforcement officials - case review
ī State and Federal - case management and
coordination
ī This means three profiles:
ī Profile 1 - Registry query - statistics results
ī Profile 2 - Local staff
ī Profile 3 - Regional staff
8
SAR â Suspicious Activity Report
9. POLICY GRANULARITY
Electronic Policy Statements
Coarse-
Grained
Role-based authorization of
subjects.
Access granted to coarse-grained
data objects.
E.g., âPermit law enforcement to
access the NCIC Wanted Persons
Database.â
Fine-Grained
Attribute-based authorization of
subjects.
Access limited to specific data
objects based on attributes.
E.g., âPermit law enforcement to
access criminal history records if
the records were created by the
requesterâs agency.â
9
10. ī Actions.
RULE AND CONTEXT METADATA
Electronic Policy Statements 10
Properties of the access rules and environment.
âĸ Conditions.
â Subject.
â Resource.
â Policy.
âĸ Obligations.
11. ī Express policies in a structured
language (e.g., XML)
ī Identify requesters
ī Compare data collection and
release purposes
ī Enforce retention rules
ī Notify data owners and
subscribers
ī Verify compliance
PRIVACY AND SECURITY ARCHITECTURES
Privacy and Security Architectures 11
12. MAPPING TO DATA STANDARDS
Privacy and Security Architectures 12
âĸGFIPMUser
Metadata
âĸNIEM
âĸGFIPM
Content
Metadata
âĸXACMLActions
Electronic
Policy
Statements
13. ī A mechanism to
specify policy rules
in unambiguous
terms
ī XML Access
Control Markup
Language (XACML)
ī Machine-readable
ī Supports
federated and
dynamic policies
POLICY AUTHORING LANGUAGE
Privacy and Security Architectures 13
14. XACML ARCHITECTURE
Privacy and Security Architectures 14
Term Description
PAP Policy Administration Point - Point which manages policies
PDP Policy Decision Point - Point which evaluates and issues authorization decisions
PEP Policy Enforcement Point - Point which intercepts user's access request to a resource and enforces PDP's decision.
PIP Policy Information Point - Point which can provide external information to a PDP, such as LDAP attribute information.
http://en.wikipedia.org/wiki/XACML
16. Policy Matrix Rule XACML Statement
Party Subject to Rule
Subject Condition(s) Conditions.
Subject(s) Subject(s).
Subject Information Context Subject(s) attributes.
Rule Action Action(s). Action(s) attributes.
Data Resource Subject to Rule
Target Resource(s) Resource(s).
Other Resource Context Resource(s) attributes.
Other Resource Conditions Conditions.
Circumstances in Which the Rule Applies
General or Action Policy Conditions Purpose(s).
Obligations and Environments If [zero or more [Subject(s) Action(s) and/or Resource(s), and/or
Environment(s) attributes) [Condition(s)] are met] with [zero or more
Obligation(s) to be performed].
Rule Activity
Deny/Permit by Statute/Policy Effect = PERMIT or DENY.
Administrative Information
Precedence PolicyCombiningAlgorithm(s), RuleCombiningAlgorithm(s).
References PolicyID, RuleID.
Linkages PolicyID, RuleID.
Policy Matrix Editors Does not translate to XACML.
ENCODING RULES INTO XACML
Privacy and Security Architectures 16
17. PART 2 â DESIGN TIME WALKTHROUGH
Design Time Rule Assertions Concepts
18. USING POLICY TEMPLATES
ī Traditional NIEM approach focuses on the
information exchange data handling
ī Uses XSD schema to define content structure
and metadata
ī Need is for a bridge between the NIEM
schema, the XML information instances and
the XACML rule assertion language
ī Approach is based on visual content structure
templates with declarative rule assertions
18
19. D E P L O Y E D
APPROACH IN A NUTSHELL
XACML
Engine
Rule
Assertions
P O L I C I E S
Output
Templates
Output
Templates
Exchange
Structures
Policy
Assertion
Template
2
S C H E M A
NIEM
IEPD
1
XACML
Generation
Tool
3
XACML
XML
Script
4
Rules Asserted to
Nodes in the Exchange
Structure via simple
XPath associations
19
20. SAR VISUAL TEMPLATE + RULE ASSERTIONS
Rules Assertions
associate and control
access privacy to
specific content areas
in the SAR details
structure
Visual metaphor
allows policy
analysts to verify
directly
20
21. Rule
Assertions
NIEM data flows
NIEM / GRA OPERATIONAL SCENARIO
XACML
Engine
Information Exchange
5
INTERFACES
P O L I C I E S
CAM Editor
Visual Designer
Output
Templates
Output
Templates
Exchange
Templates
1
Information Exchange
3
INTERFACES
4
S C H E M A
NIEM
IEPD
NIEM
XML
NIEM
XML
Generated
XACML
Rules
2
21
22. CAM TOOLKIT + CAMV ENGINE
ī Open source solutions â designed to
support XML and industry vocabularies
and components for information
exchanges
ī Implementing the OASIS Content
Assembly Mechanism (CAM) public
standard
ī CAMV validation framework and test
suite tools
ī Development sponsored by Oracle
CAM Editor resources site:
http://www.cameditor.org
22
23. NEXT STEPS
ī Enhance CAM Editor UI to provide wizards
for policy rule assertion entry
ī Provide XSLT to generate XACML from
CAM template
ī Enhance reporting tools to show policy
details in plain English details
ī Test with sample JPS NIEM exchange
schema
23
24. PART 3 â DEPLOYMENT WITH REGISTRY
Illustrative deployment with XACML services and application
25. APPLICATION SCENARIO DETAILS
Electronic Policy Statements 25
Policy Rules
Portal
User
Dashboard
1
Apply Policy Rules to
Requested Case Content
(PDP Engine)
4Users see only
information
permitted by
their role and
policy profile
Request
Output
Templates
Output
Templates
Information
Requests
2
Case Management + PAP
Registry
Services
3
Output
Templates
Output
Templates
Case
Documents
XML
Response (PEP)
Output
Templates
Output
Templates
Requested
Information
5
User
Profiles
XMLXMLXML XACML
26. REGISTRY POLICY ENFORCEMENT
Privacy and Security Architectures 26
PAP
âĸDefines policies.
âĸMonitors compliance.
PDP
âĸReceives requests from the PEP.
âĸIdentifies policies that match each request.
âĸEvaluates request and environment attributes.
âĸDirects the PEP.
PEP
âĸDiscloses or redacts the information or denies the request.
âĸLogs the request and action.
âĸNotifies of the request and action.
28. PUBLISHING CONTENT (BULK IMPORT TOOL)
Bulk loader will
trawl server and
folder location
for content â
e.g. original
SAR XML
documents
Bulk Publish of SAR documents
28
29. SAR DISCOVERY AND RETRIEVAL
SAR Discovery
Query (easily
extended / tailored
without code
changes)
allows rapid
prototyping and
verification of
content and
operations
Results returned
digest and content
retrieval options
29
31. KEY MESSAGES
ī Dramatically simpler policies adoption
ī Can be rapidly developed with existing tools
ī Can be visually inspected and verified by
policy analysts
ī Enables use of dynamic contextual policies
ī Supports international standards work
31
32. CONTRIBUTORS
ī James E. Cabral Jr. â IJIS/OASIS and MTGM LLC
ī David Webber â Oracle Public Sector NIEM team
ī Farrukh Najmi â OASIS ebXML RegRep, SunXACML
project and Wellfleet Software
32
33. RESOURCES
ī OASIS CAM and tools project site
https://www.oasis-open.org/committees/cam
http://cameditor.org (sourceforge.net)
ī OASIS XACML and tools project site
https://www.oasis-open.org/committees/xacml
http://sunxacml.sourceforge.net/
ī OASIS ebXML RegRep and Implementing Registry
https://wiki.oasis-open.org/regrep/
http://goo.gl/cEpnC
33