Big data contains valuable information— some of it sensitive customer data—that can be a honeypot for internal and external attackers. Given the risk involved, organizations must proactively enhance defenses and prevent data breaches. The four steps outlined in this deck, help organizations to develop a holistic approach to data security and privacy.
Privacy by Design - taking in account the state of the artJames Mulhern
Establishing transparency and building trust provide an opportunity to develop greater, more meaningful relationships with data subjects i.e people, customers, colleagues... in turn this can lead to more effective and valuable services that help transform organisations.
A "Privacy by design" approach can help achieve this but it doesn't happen by accident and transformation doesn't occur over night. So a deliberate approach that looks beyond May 2018 and compliance is required.
Presentation to representatives from the technology and Local Government sectors at TechUK, the UK's trade association for the technology.
The REAL Impact of Big Data on PrivacyClaudiu Popa
The awesome promise of Big Data is tempered by the need to protect personal information. Data scientists must expertly navigate the legislative waters and acquire the skills to protect privacy and security. This talk provides enterprise leaders with answers and suggests questions to ask when the time comes to consider the vast opportunities offered by big data.
Big data contains valuable information— some of it sensitive customer data—that can be a honeypot for internal and external attackers. Given the risk involved, organizations must proactively enhance defenses and prevent data breaches. The four steps outlined in this deck, help organizations to develop a holistic approach to data security and privacy.
Privacy by Design - taking in account the state of the artJames Mulhern
Establishing transparency and building trust provide an opportunity to develop greater, more meaningful relationships with data subjects i.e people, customers, colleagues... in turn this can lead to more effective and valuable services that help transform organisations.
A "Privacy by design" approach can help achieve this but it doesn't happen by accident and transformation doesn't occur over night. So a deliberate approach that looks beyond May 2018 and compliance is required.
Presentation to representatives from the technology and Local Government sectors at TechUK, the UK's trade association for the technology.
The REAL Impact of Big Data on PrivacyClaudiu Popa
The awesome promise of Big Data is tempered by the need to protect personal information. Data scientists must expertly navigate the legislative waters and acquire the skills to protect privacy and security. This talk provides enterprise leaders with answers and suggests questions to ask when the time comes to consider the vast opportunities offered by big data.
Social Networks in Health Care - Talk at ICSE 2010James Williams
A talk given at the Software Engineering for Health Care workshop at ICSE 2010 (Cape Town). Reviews privacy and security issues for social networking in the health care domain, covers some existing work, and points out future directions.
Social Networks in Health Care - Talk at ICSE 2010James Williams
A talk given at the Software Engineering for Health Care workshop at ICSE 2010 (Cape Town). Reviews privacy and security issues for social networking in the health care domain, covers some existing work, and points out future directions.
One London conversation workshop 18 July slide deck Katie Harrison
Slides from presentations delivered at the One London Involvement workshop on 18 July 2018.
For more information please contact:
amy.darlington@imperialcollegehealthpartners.com
This review by the National Data Guardian for Health and Care (NDG), Dame Fiona Caldicott, makes recommendations to the Secretary of State for Health. These are aimed at strengthening the safeguards for keeping health and care information secure and ensuring the public can make informed choices about how their data is used.
The NDG proposes new data security standards for the NHS and social care, a method for testing compliance against the standards, and a new opt-out to make clear how people’s health and care information will be used and in what circumstances they can opt out.
Dame Fiona’s report argues that the public should be engaged about how their information is used and safeguarded, and the benefits of data sharing, with a wide-ranging consultation on her proposals as a first step.
A letter from Dame Fiona Caldicott and David Behan, Care Quality Commission Chief Executive, to the Health Secretary outlines the common themes between the NDG review and a review of data security in the NHS carried out by the CQC.
Ethical Considerations in Data Analysis_ Balancing Power, Privacy, and Respon...Soumodeep Nanee Kundu
The explosion of data and the increasing capabilities of data analysis have transformed various aspects of our lives. From healthcare and finance to marketing and law enforcement, data analysis has become an essential tool for decision-making and problem-solving. However, with great power comes great responsibility. Ethical considerations in data analysis are more critical than ever as data professionals grapple with questions related to privacy, fairness, transparency, and accountability. In this article, we will delve into the ethical challenges that data analysts and organizations face and explore strategies to address them.
principles of mobile privacy and policy guidelines .it also include regulatory framework and mobile applications privacy by design developmenet modules
How to Build and Implement your Company's Information Security ProgramFinancial Poise
Data is one of your business’s most valuable assets and requires protection like any other asset. How can you protect your data from unauthorized access or inadvertent disclosure?
An information security program is designed to protect the confidentiality, integrity, and availability of your company’s data and information technology assets. Federal, state, or international law may also require your business to have an information security program in place.
This webinar will provide the basics of how to create and implement an information security program, beginning with identifying your incident response team, putting applicable insurance policies into place, and closing any gaps in the security of your data.
To view the accompanying webinar, go to: https://www.financialpoise.com/financial-poise-webinars/how-to-build-and-implement-your-companys-information-security-program-2021/
Browne Jacobson, Deloitte and DoctorLink are pleased to invite you to our first joint health tech seminar with leading industry thought leaders. This will be a practical session, sharing experience from across the NHS and beyond to inform options on how to improve services, break down silos and focus on population health outcomes.
This event is exclusively for Commissioners, GPs, and Policymakers keen to understand how new integrated care systems and models of care can meet the needs of their local population and can be implemented pragmatically and affordably to drive improvement goals and achieve better health, better care and better value.
Security Management in Cloud Computing by Shivani Gogia - Aravali College of ...acemindia
With the adoption of public cloud services, a large part of your network, system, applications, and data will move under third-party provider control.
For this :
What security controls must the customer provide over and above the controls inherent in the cloud platform, and
How must an enterprise’s security management tools and processes adapt to manage security in the cloud.
The objective of this module is to gain an overview of the ethics surrounding big data and the legislation that governs it.
Upon completion of this module you will:
- Gain knowledge on how to recognize the necessity of regulating big data
- Obtain an understanding of the difference between privacy and data protection
- Understand the need to implement data protection actions into your own business
The objective of this module is to gain an overview of the ethics surrounding big data and the legislation that governs it.
Upon completion of this module you will:
- Gain knowledge on how to recognize the necessity of regulating big data
- Obtain an understanding of the difference between privacy and data protection
- Understand the need to implement data protection actions into your own business
Establishing a Trusted Identity in CyberspaceRightPatient®
The digitalization of the world economy has created demand for privacy enhancing identity solutions that support civil liberties and improve security. Running parallel to the need for trusted identities in cyberspace is the need for identities to be interoperable so that individuals can manage multiple credentials and choose which to use for a particular transaction or activity. The demand to establish a more secure identity ecosystem requires solutions to be user friendly and convenient including equitable access to the tools that establish this online identity credential for everyone, not only the affluent.
The following is a summary of a recent podcast we scheduled with NSTIC to discuss the goals and initiatives of NSTIC, how they are advancing the need to establish trusted identities in cyberspace and what impact they are making to advance the cause.
Giles Wilmore: How will the NHS Information Strategy support the new NHS?The King's Fund
Giles Wilmore, Director of Quality Framework and QIPP, Department of Health, discusses the NHS Information Strategy at The King's Fund's NHS Information Revolution conference.
Similar to Secure information sharing (sis) models (20)
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
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.
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
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/
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
GridMate - End to end testing is a critical piece to ensure quality and avoid...ThomasParaiso2
End to end testing is a critical piece to ensure quality and avoid regressions. In this session, we share our journey building an E2E testing pipeline for GridMate components (LWC and Aura) using Cypress, JSForce, FakerJS…
2. Agenda
1. Overview
2. SIS Major Challenges
3. CommunityCyber Security
4. The Current Status…
5. Requirements
6. Life-Cycle of a Cyber Incident
7. Privacy Consent State of Mind
8. National Strategy Could Nudge SIS Forward
9. Goals
3. 1. Overview
• “Share but protect”
• Saltzer-Schroeder1 identified the desirability and difficulty of maintaining:
• “some control over the user of the information even after it has been released”
4. 2. SIS Major Challenges
• Policy Challenge
• Modeling, specifying and enforcing SIS policies
• Need intuitive yet formal models, guaranteed security properties, etc.
• Containment Challenge
• Ensure that protected information is accessible to users as permitted by the policy
• Security mechanisms such as authentication, cryptography, trusted hardware, etc.
5. 3. Community Cyber Security
• Community refers to a geographical area
• E.g. county or a city with demarcated boundary
• The Center for Infrastructure Assurance and Security at UTSA conducts nation-
wide cyber security preparedness exercises and training
• communication
• incident response
• disaster recovery
• business continuity
• security awareness, etc.
6. 4.The Current Status…
• Exchange of business cards
• No process exists for information sharing
• Technology is not the bottleneck
• Resistance due to political/competitive reasons
• Also want to avoid embarrassment
• E.g. by sharing attack data
• Participants have no clue as to what to share and how to effectively specify what to
share
7. 5. Requirements
• Need abstract models
• With rigorous mathematical foundations
• Should ease administration
• Classic models are limited
• DiscretionaryAccess Control
• Too low-level to configure
• Lattice-BasedAccess Control (E.g. Bell LaPadula)
• Rigid
• One directional info flow is not the primary concern
• Lot of work on Dynamic Coalitions
• Many times heavy-weight
• Mainly focus on technological/infrastructural integration
8. 6. Life-Cycle of a Cyber Incident
Secure Sharing in a Community
Core
Group
Incident
Group
Open
Group
Conditional
Membership
Automatic
Membership
Filtered RW
Administered
Membership
Administered
Membership
9. 7. Privacy Consent State of Mind
• The space of Privacy Consent is full of trepidation. I would like to show that
although there are complexity, there is also simplicity. The complexity
comes in fine-details.The fundamentals, and the technology, are simple
• Privacy Consent can be viewed as a "State Diagram", that is by showing
what the current state of a patients consent, we can show the changes in
state.This is the modeling tool I will use here.
10. Privacy Consent State of Mind
• I will focus on how Privacy Consent relates to the access to Health
Information, that is shared through some form of Health Information
Exchange (HIE).
• The architecture of this HIE doesn't matter, it could be PUSH or PULL or
anything else. The concepts I show can apply anywhere, but for simplicity
think only about the broad use of healthcare information
sharing across organizations.
11. Privacy Consent of OPT-OUT
• At the right is the diagram for an OPT-OUT
environment. One where the patient has the
choice to OPT-OUT, that is to stop the use of
their data. This means that there is a
presumption that when there is no evidence of
a choice by the patient, that the data can be
used.
12. Privacy Consent of OPT-IN
• At the right is the diagram for an OPT-IN
environment. In an OPT-IN environment the
patient is given the opportunity to ALLOW
sharing of their information. This means that
there is a presumption that the patient does
not want their health information shared. I
would view it more as a respect for the patient
to make the decision.
13. Privacy Consent:YES vs NO
• The reality of privacy consent is that there will be a
number of patients that will change their mind.
This is just human nature, and there are many
really good reasons they might change their mind.
A patient that has given OPT-IN authorization
might revoke their authorization. A patient that
has indicated they don't want their data to be
shared might decide that they now do want to
share their data.
14. Privacy Consent of Maybe
• There are those that have special
circumstances that really require special
handling.
• This state is an indicator, just like "YES" or
"NO", but in this case the indicator indicates
that there are patient-specific rules. These
patient-specific rules likely start with a "YES"
or a "NO" and then apply additional rules.
15. Privacy Consent of Maybe
• These additional rules might be to block a specific time-period, block a
specific report, block a specific person from access, allow a specific person
access, etc.
• These special rules are applied against each access.Note that the state
diagram shows transitions between all three states. It is possible that one
goes into the "MAYBE" state forever, or just a while.
16. 8. National Strategy Could Nudge SIS
Forward
• In the early days of the Obama administration, the president declared
cyberspace a critical asset. Since then, little more than lip service has been
paid on a policy level to the security of the country’s critical infrastructure,
despite increasing public awareness of the problem and high-profile attacks
on business and government alike.
17. National Strategy Could Nudge SIS Forward
• In December 2013, there was more movement. The White House released
the National Strategy for Information Sharing and Safeguarding which is a
framework for government agencies to share attack data to repel terrorist
threats, cyberattacks and more.
18. National Strategy Could Nudge SIS Forward
• The strategy stresses that information must be treated as a national asset
and such data must be made available to support national security, it states.
It also urges agencies to work together to identify and reduce risks, rather
than not share at all. Information, the document states, must underlie all
decisions.
19. 9. Goals
The president hopes the strategy achieves five goals:
• Drive collective action through collaboration and accountability: Using
models to build trust and simplify the processes for sharing
• Improve information discovery and access through common standards:
Doing so paves the way for less ambiguous policies. To achieve this, secure
access via authentication and authorization controls, data classification and
sharing standards is vital.
20. Goals
• Optimize mission effectiveness through shared services and
interoperability: Bettering the efficacy of how information is acquired and
shared is key here.
• Strengthen information safeguarding through structural reform, policy and
technical solutions: This calls for controls on data, monitoring for insider and
external attacks to better stave off threats to systems and information.
21. Goals
• Protect privacy, civil rights and civil liberties through consistency and
compliance: Public trust must be a key consideration here, the document
stresses. Privacy and civil protections must be built into any sharing
mechanism.