Finnish Information Security Cluster meeting on March 21st in Helsinki. IoT in healthcare and the various current and emerging cyber security risks IoT brings into healthcare environment, especially hospitals, and their security requirements and frameworks; includes some examples of dark web activity.
Understanding Cybersecurity in Medical Devices and ApplicationsEMMAIntl
One of the major pillars of the current Industry 4.0 is Automation. Indeed, technology is intervening in almost every domain to “automate” the workforce and make human life easier and better. In the present age, machines are getting integrated with the Internet of Things, Cloud Computing, and Artificial Intelligence with the data flow being transferred and processed via the Internet. These changes indeed catalyze the overall productivity, but also expose data to the public
domains.
In cases of continuous data transfers and exposition, Cybersecurity becomes a pivotal element where it not only protects the data but also proactively provides mechanisms to defend against malicious attacks and malware. In the case of medical devices that include sensitive medical data flows and software-controlled hardware devices like heart implants or Continuous Glucose Monitoring (CGM) devices, Cybersecurity becomes an important factor for contributing towards system safety and quality...
According to a report from MarketResearch.com, millions of new Internet of Medical Things (IoMT) will be added to health systems and the market segment is poised to hit $117 billion by 2020. Medical device manufacturers have traditionally focused on patient safety and time to market rather than security. Long FDA approval cycles mean that approved devices are often running outdated operating systems versions with known vulnerabilities and limited or no patching ability. This lack of adequate security in IoT and IoMT is why Gartner is predicting that by 2020 25% of all enterprise breaches will involve IoT. Securing IoMT requires close collaboration between biomedical and IT teams and a plan to address three core areas of IoMT security – physical, connection and data. This session will focus on practical steps to improving IoMT security without expensive infrastructure upgrades or wholesale legacy medical device replacements.
IoT based on secure personal healthcare using RFID technology and steganography IJECEIAES
Internet of things (IoT) makes it attainable for connecting different various smart objects together with the internet. The evolutionary medical model towards medicine can be boosted by IoT with involving sensors such as environmental sensors inside the internal environment of a small room with a specific purpose of monitoring of person's health with a kind of assistance which can be remotely controlled. RF identification (RFID) technology is smart enough to provide personal healthcare providing part of the IoT physical layer through low-cost sensors. Recently researchers have shown more IoT applications in the health service department using RFID technology which also increases real-time data collection. IoT platform which is used in the following research is Blynk and RFID technology for the user's better health analyses and security purposes by developing a two-level secured platform to store the acquired data in the database using RFID and Steganography. Steganography technique is used to make the user data more secure than ever. There were certain privacy concerns which are resolved using this technique. Smart healthcare medical box is designed using SolidWorks health measuring sensors that have been used in the prototype to analyze real-time data.
Network Connected Medical Devices - A Case StudySophiaPalmira
In this session, we welcome Shankar Somasundaram, CEO of Asimily, Priyanka Upendra, Quality Compliance Director at Banner Health, and Carrie Whysall. Director of Managed Security Services at CynergisTek.
Together, they will discuss medical device security, covering all you need to know from medical device assessments to remediation efforts. Attendees will leave this session knowing how to apply what they have learned about medical device security in real life.
Understanding Cybersecurity in Medical Devices and ApplicationsEMMAIntl
One of the major pillars of the current Industry 4.0 is Automation. Indeed, technology is intervening in almost every domain to “automate” the workforce and make human life easier and better. In the present age, machines are getting integrated with the Internet of Things, Cloud Computing, and Artificial Intelligence with the data flow being transferred and processed via the Internet. These changes indeed catalyze the overall productivity, but also expose data to the public
domains.
In cases of continuous data transfers and exposition, Cybersecurity becomes a pivotal element where it not only protects the data but also proactively provides mechanisms to defend against malicious attacks and malware. In the case of medical devices that include sensitive medical data flows and software-controlled hardware devices like heart implants or Continuous Glucose Monitoring (CGM) devices, Cybersecurity becomes an important factor for contributing towards system safety and quality...
According to a report from MarketResearch.com, millions of new Internet of Medical Things (IoMT) will be added to health systems and the market segment is poised to hit $117 billion by 2020. Medical device manufacturers have traditionally focused on patient safety and time to market rather than security. Long FDA approval cycles mean that approved devices are often running outdated operating systems versions with known vulnerabilities and limited or no patching ability. This lack of adequate security in IoT and IoMT is why Gartner is predicting that by 2020 25% of all enterprise breaches will involve IoT. Securing IoMT requires close collaboration between biomedical and IT teams and a plan to address three core areas of IoMT security – physical, connection and data. This session will focus on practical steps to improving IoMT security without expensive infrastructure upgrades or wholesale legacy medical device replacements.
IoT based on secure personal healthcare using RFID technology and steganography IJECEIAES
Internet of things (IoT) makes it attainable for connecting different various smart objects together with the internet. The evolutionary medical model towards medicine can be boosted by IoT with involving sensors such as environmental sensors inside the internal environment of a small room with a specific purpose of monitoring of person's health with a kind of assistance which can be remotely controlled. RF identification (RFID) technology is smart enough to provide personal healthcare providing part of the IoT physical layer through low-cost sensors. Recently researchers have shown more IoT applications in the health service department using RFID technology which also increases real-time data collection. IoT platform which is used in the following research is Blynk and RFID technology for the user's better health analyses and security purposes by developing a two-level secured platform to store the acquired data in the database using RFID and Steganography. Steganography technique is used to make the user data more secure than ever. There were certain privacy concerns which are resolved using this technique. Smart healthcare medical box is designed using SolidWorks health measuring sensors that have been used in the prototype to analyze real-time data.
Network Connected Medical Devices - A Case StudySophiaPalmira
In this session, we welcome Shankar Somasundaram, CEO of Asimily, Priyanka Upendra, Quality Compliance Director at Banner Health, and Carrie Whysall. Director of Managed Security Services at CynergisTek.
Together, they will discuss medical device security, covering all you need to know from medical device assessments to remediation efforts. Attendees will leave this session knowing how to apply what they have learned about medical device security in real life.
Medical device security presentation - Frank SiepmannFrank Siepmann
Since I am not presenting (due to personal reasons) at the Medical Device Security conference 25/26 July 2016 in Arlington, VA I thought I post my slides about the current problems with Medical Device security and what can be done on a tactical level and what is needed at a strategic level.
با گسترش فناوری اطلاعات و سرویس های مختلفی امروزه در زندگی انسان ها ارائه می شود حوزه سلامت و درمان هم بی بهره از این گسترش فناوری نبوده و در صورتی که سیاستمداران و برنامه ریزان کشور بتوانند از ظرفیت های ترکیب دانش پزشکی و فناوری اطلاعات بهره ببرند شاید با وجود افزایش جمعیت کهنسال و نیاز به رسیدگی های خاصی که در این قشر احساس می شود بتوان در کاهش هزینه های درمان گامی برداشت
Personal Healthcare IOT on PCF Using SpringVMware Tanzu
SpringOne Platform 2016
Speaker: Jim Shingler; Director of Engineering, FUSE by Cardinal Health.
Did Mom take her morning meds? Did she take the right meds?
Imagine a world where you receive notifications when your mother misses her morning medications and where her doctor automatically receives her Glucometer or Pulse Oximeter readings. This talk will be an introductory discussion about taking an Internet Of Things (IoT) approach to keeping our loved ones safe, in their own homes longer, and elongate their presence in our lives. We will be discussing the challenges around applying IoT technologies to personal healthcare and how we can use Pivotal Technologies to build a more efficient solution.
The discussion will start by reviewing the challenges with personal healthcare including the privacy and security concerns and considerations. We will also delve into how Arther C Clarke's third law can be used to describe IoT technologies. With this context, we will explore building a personal healthcare IoT solution on PCF using Spring Technologies.
Health Care Analytics
Table of Content:
What is Healthcare Analytics
Objectives of Healthcare Analytics
Types of Analytics
Source of Data
What do Healthcare companies achieve with healthcare analytics
Booming technologies in the Healthcare Industries with some of their uses
Existing Healthcare analytics tool in the market
-----------------------------------------------------------------------
Objectives of Healthcare Analytics
The fundamental objective of healthcare analytics is to help people make and execute rational decisions.
Data - Driven
Analytics in healthcare can help ensure that all decisions are made based on the best possible evidence derived from accurate and verified sources of information.
Transparent
Healthcare analytics can break down silos based on program, department or even facility by promoting the sharing of accurate, timely and accessible information
Verifiable
The selected option can be tested and verified, based on the available data and decision-making model, to be as good as or better than other alternatives.
Robust
Healthcare is a dynamic environment; decisions making models must be robust enough to perform in non-optimal conditions such as missing data, calculation error, failure to consider all available options and other issues.
-------------------------------------------------------------------------------
Types of Analytics
Descriptive Analytics
Uses business Intelligence and data mining to ask: “What has Happened”
Diagnostics Analytics
Examines data to answer, “Why did it happen ?”
Predictive Analytics
Uses optimization and simulation to ask: “What should we do”
Prescriptive Analytics
Uses optimization and simulation to ask: “What should we do”
----------------------------------------------------------------------------------
Sources of Data
Human Generated data
Web and social media data
Machine to Machine data
Transaction data
Biometric data
---------------------------------------------------------------------------------
What do Healthcare companies achieve with healthcare analytics
Hospitals
Reducing Cost
Reducing cost of analytics by building an easy-to-use analytics platform
Identifying and preventing anomalies such as fraud
Automating external and internal reporting
Improving patient outcomes
Clinical decision support
Pharmacy
Randomized clinical trials are expensive to conduct and are not effective at identifying rare events, heterogeneous treatment effects, long-term outcomes. Pharma companies rely on healthcare analytics to identify such relationships. However, inferring causal relations can be difficult as data can be easily misinterpreted to view unrelated factors as inter-dependent.
An Data Center Solution Architecture Architecture For Advanced Healthcare Mon...ijceronline
Electronic Health Record (EHR) is a digital record shared across different healthcare settings, by network-connected enterprise-wide information systems called EHR systems. Cloud computing paradigm is one of the popular Health Information Technology infrastructures for facilitating Electronic Health Record (EHR) sharing and EHR integration. Healthcare clouds offer new possibilities, such as easy and ubiquitous access to medical data, and opportunities for new business models. However, they also bear new risks and raise challenges with respect to security and privacy aspects. The global economic crisis has affected the health sector. The costs of healthcare services rise and healthcare professionals are becoming scarce and hard to find, it is imminent that healthcare organizations consider adopting health information technology (HIT) systems. Healthcare professionals must have all the information they require to make prompt patient-care decisions. The growing of mobility connections, people can access all the resources hosted in the cloud any time using any device. The adoption of Cloud Computing in healthcare system for delivering health information and services, driven by the fact that healthcare services in Jordan are almost provided manually from tools to technologies, the growth of inhabitants and refugees crisis, healthcare stakeholders ICT consciousness, and the technical challenges and delays faces the implementation e-Healthcare system. The different problems concerning the managerial, administrative and management aspects, to the concern of physician or researcher, that necessities the infrastructure to process, store, manage patient data, analysis, diagnosis, and so on. Cloud computing is a significant alternative to solve many of these problems providing several advantages in terms of resource management and computational capabilities. In this paper we propose a national cloud computing data centers architecture solution to host healthcare system services computing resources components, proposing building a national e-health cloud environment to overcome many of the challenges confronting the success of Hakeem the core of the National e-Health System (NHS) for the provision of e-Health as a Service.
Privacy and Security by Design Spotlight Presentation at HIMMS Privacy and Security Forum, December 5th 2016. Presented by Jeff R. Livingstone, PhD, Vice President and Global Lead, Life Sciences & Healthcare, Unisys Corporation.
Medical device security presentation - Frank SiepmannFrank Siepmann
Since I am not presenting (due to personal reasons) at the Medical Device Security conference 25/26 July 2016 in Arlington, VA I thought I post my slides about the current problems with Medical Device security and what can be done on a tactical level and what is needed at a strategic level.
با گسترش فناوری اطلاعات و سرویس های مختلفی امروزه در زندگی انسان ها ارائه می شود حوزه سلامت و درمان هم بی بهره از این گسترش فناوری نبوده و در صورتی که سیاستمداران و برنامه ریزان کشور بتوانند از ظرفیت های ترکیب دانش پزشکی و فناوری اطلاعات بهره ببرند شاید با وجود افزایش جمعیت کهنسال و نیاز به رسیدگی های خاصی که در این قشر احساس می شود بتوان در کاهش هزینه های درمان گامی برداشت
Personal Healthcare IOT on PCF Using SpringVMware Tanzu
SpringOne Platform 2016
Speaker: Jim Shingler; Director of Engineering, FUSE by Cardinal Health.
Did Mom take her morning meds? Did she take the right meds?
Imagine a world where you receive notifications when your mother misses her morning medications and where her doctor automatically receives her Glucometer or Pulse Oximeter readings. This talk will be an introductory discussion about taking an Internet Of Things (IoT) approach to keeping our loved ones safe, in their own homes longer, and elongate their presence in our lives. We will be discussing the challenges around applying IoT technologies to personal healthcare and how we can use Pivotal Technologies to build a more efficient solution.
The discussion will start by reviewing the challenges with personal healthcare including the privacy and security concerns and considerations. We will also delve into how Arther C Clarke's third law can be used to describe IoT technologies. With this context, we will explore building a personal healthcare IoT solution on PCF using Spring Technologies.
Health Care Analytics
Table of Content:
What is Healthcare Analytics
Objectives of Healthcare Analytics
Types of Analytics
Source of Data
What do Healthcare companies achieve with healthcare analytics
Booming technologies in the Healthcare Industries with some of their uses
Existing Healthcare analytics tool in the market
-----------------------------------------------------------------------
Objectives of Healthcare Analytics
The fundamental objective of healthcare analytics is to help people make and execute rational decisions.
Data - Driven
Analytics in healthcare can help ensure that all decisions are made based on the best possible evidence derived from accurate and verified sources of information.
Transparent
Healthcare analytics can break down silos based on program, department or even facility by promoting the sharing of accurate, timely and accessible information
Verifiable
The selected option can be tested and verified, based on the available data and decision-making model, to be as good as or better than other alternatives.
Robust
Healthcare is a dynamic environment; decisions making models must be robust enough to perform in non-optimal conditions such as missing data, calculation error, failure to consider all available options and other issues.
-------------------------------------------------------------------------------
Types of Analytics
Descriptive Analytics
Uses business Intelligence and data mining to ask: “What has Happened”
Diagnostics Analytics
Examines data to answer, “Why did it happen ?”
Predictive Analytics
Uses optimization and simulation to ask: “What should we do”
Prescriptive Analytics
Uses optimization and simulation to ask: “What should we do”
----------------------------------------------------------------------------------
Sources of Data
Human Generated data
Web and social media data
Machine to Machine data
Transaction data
Biometric data
---------------------------------------------------------------------------------
What do Healthcare companies achieve with healthcare analytics
Hospitals
Reducing Cost
Reducing cost of analytics by building an easy-to-use analytics platform
Identifying and preventing anomalies such as fraud
Automating external and internal reporting
Improving patient outcomes
Clinical decision support
Pharmacy
Randomized clinical trials are expensive to conduct and are not effective at identifying rare events, heterogeneous treatment effects, long-term outcomes. Pharma companies rely on healthcare analytics to identify such relationships. However, inferring causal relations can be difficult as data can be easily misinterpreted to view unrelated factors as inter-dependent.
An Data Center Solution Architecture Architecture For Advanced Healthcare Mon...ijceronline
Electronic Health Record (EHR) is a digital record shared across different healthcare settings, by network-connected enterprise-wide information systems called EHR systems. Cloud computing paradigm is one of the popular Health Information Technology infrastructures for facilitating Electronic Health Record (EHR) sharing and EHR integration. Healthcare clouds offer new possibilities, such as easy and ubiquitous access to medical data, and opportunities for new business models. However, they also bear new risks and raise challenges with respect to security and privacy aspects. The global economic crisis has affected the health sector. The costs of healthcare services rise and healthcare professionals are becoming scarce and hard to find, it is imminent that healthcare organizations consider adopting health information technology (HIT) systems. Healthcare professionals must have all the information they require to make prompt patient-care decisions. The growing of mobility connections, people can access all the resources hosted in the cloud any time using any device. The adoption of Cloud Computing in healthcare system for delivering health information and services, driven by the fact that healthcare services in Jordan are almost provided manually from tools to technologies, the growth of inhabitants and refugees crisis, healthcare stakeholders ICT consciousness, and the technical challenges and delays faces the implementation e-Healthcare system. The different problems concerning the managerial, administrative and management aspects, to the concern of physician or researcher, that necessities the infrastructure to process, store, manage patient data, analysis, diagnosis, and so on. Cloud computing is a significant alternative to solve many of these problems providing several advantages in terms of resource management and computational capabilities. In this paper we propose a national cloud computing data centers architecture solution to host healthcare system services computing resources components, proposing building a national e-health cloud environment to overcome many of the challenges confronting the success of Hakeem the core of the National e-Health System (NHS) for the provision of e-Health as a Service.
Privacy and Security by Design Spotlight Presentation at HIMMS Privacy and Security Forum, December 5th 2016. Presented by Jeff R. Livingstone, PhD, Vice President and Global Lead, Life Sciences & Healthcare, Unisys Corporation.
TIPPSS for Enabling & Securing our Increasingly Connected World – Trust, Iden...PacificResearchPlatform
Securing Research Data: A Workshop on Emerging Practices in Computation and
Storage for Sensitive Data - August 22, 2019
Florence Hudson, Founder and CEO, FDHint LLC
NSF Cybersecurity Center of Excellence, Indiana University - Special Advisor
Northeast Big Data Innovation Hub, Columbia University – Special Advisor
IEEE Engineering in Medicine and Biology Society – Standards Committee
Let's all take a moment to appreciate the marvels of integrating Internet of Things (IoT) devices into healthcare. What could possibly go wrong with connecting every conceivable medical device to the internet? Pacemakers, MRI machines, smart infusion pumps - it's like every device is screaming, "Hack me, please!"
As we dive into the abyss of cybersecurity threats, let's not forget the sheer brilliance of having your heart's pacing dependent on something as stable and secure as the internet. And who could overlook the excitement of having your medical data floating around in the cloud, just a breach away from becoming public knowledge? But wait, there's more! Compliance with HIPAA and adherence to best practices will magically ward off all cyber threats. Because hackers totally play by the rules and are definitely deterred by a healthcare organization's best intentions.
The ripple effects of a cyber attack on medical technology affect not just healthcare providers but also dragging down insurance companies, pharmaceuticals, and even emergency services into the mire. Hospitals in chaos, treatments delayed, and patient safety compromised - it's the perfect storm. But let's not forget the unsung heroes: cybersecurity firms, rubbing their hands in glee as the demand for their services skyrockets.
Welcome to the future of healthcare, where your medical device might just be part of the next big data breach headline. Sleep tight!
-----
This document highlights the cyber threats to medical technology and communication technology protocols and outlines the potential risks and vulnerabilities in these systems. It is designed to help healthcare organizations and medical professionals understand the importance of securing their technology systems to protect patient data and ensure the continuity of care.
Improving Efficiency and Outcomes in Healthcare using Internet of ThingsCitiusTech
With the adoption of cloud and big data technologies, healthcare organizations are in a position to begin experimenting with IoT. Ranging from home care to smart facilities, there are many ways in which provider organizations can benefit by using IoT in their patient care workflows. E.g., a mobile app with patient geo-fencing capabilities can help optimize physician rounds by dynamically routing the physician to the nearest patient
Payers can leverage insights generated by IoT infrastructure to improve population health, increase patient awareness and reduce healthcare costs. Payers can also design more effective reward and retention programs using IoT generated data.
As IoT is evolving, adoption is slow but steady, and investments are being made by both startups and industry leaders. Healthcare is among the top 5 industries investing in IoT.
This document discusses how IoT can be leveraged to drive efficiency in healthcare workflows and enhance clinical outcomes.
Cybersecurity Challenges in the Healthcare Industry.pdfMobibizIndia1
The healthcare enterprise has gone through a virtual transformation in recent years, with digital health information and IoT devices turning into integral parts of affected personal care. While these technological improvements have revolutionized healthcare transport, they have also uncovered the enterprise to a myriad of cybersecurity challenges.
Why healthcare is the biggest target for cyberattacks-converted.pdfSparity1
Sparity provides the Top Custom healthcare Software and Application development services for healthcare industries in USA and Across the Globe. We can help you build a leading-edge tech platform with the right UI/UX framework and functionalities. We Make a positive impact with modern healthcare services
The TIPPSS Imperative for IoT - Ensuring Trust, Identity, Privacy, Protection...J On The Beach
Our increasingly connected world leveraging the Internet of Things (IoT) creates great value, in connected healthcare, smart cities, and more. The increasing use of IoT also creates great risk. We will discuss the challenges and risks we need to address as developers in TIPPSS - Trust, Identity, Privacy, Protection, Safety, and Security - for devices, systems and solutions we deliver and use. Florence leads IEEE workstreams on clinical IoT and data interoperability with blockchain addressing TIPPSS issues. She is an author of IEEE articles on "Enabling Trust and Security - TIPPSS for IoT" and "Wearables and Medical Interoperability - the Evolving Frontier", "TIPPSS for Smart Cities" in the 2017 book "Creating, Analysing and Sustaining Smarter Cities: A Systems Perspective" , and Editor in Chief for an upcoming book on "Women Securing the Future with TIPPSS for IoT."
Best 3 Cyber Threats in Healthcare Organizations Today | The Lifesciences Mag...The Lifesciences Magazine
Ryan Witt, who is in charge of cyber threats in healthcare at Proofpoint, says that this is why U.S. hospital defenses have always been weak. Since attackers learned this, hospitals in the United States have been a top target. Cybercriminals continue to focus on U.S. health care, and hospital information security is always trying to catch up.
Security and privacy issues with io t healthcare devicesZoe Gilbert
Read this blog to know the challenges that come with security and privacy with IoT healthcare devices be it unauthorized access, device hijack, privacy violations, so this write may help you understand the top ways to cope up with by analyzing the security, using a secured cloud platform.
The Internet of Things IoT is a system of interrelated computing devices, mechanical and digital machines, objects, animals or people that are provided with unique identifiers UIDs and the ability to transfer data over a network without requiring human to human or human to computer interaction. In the consumer market, IoT technology is most synonymous with products pertaining to the concept of the smart home , covering devices and appliances such as lighting fixtures, thermostats, home security systems and cameras, and other home appliances that support one or more common ecosystems, and can be controlled via devices associated with that ecosystem, such as smart phones and smart speakers. Akilandeshwari. K | Mohanapriya. S | Sandhyia Sri. R ""Internet of Things"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-2 , February 2020,
URL: https://www.ijtsrd.com/papers/ijtsrd29939.pdf
Paper Url : https://www.ijtsrd.com/engineering/computer-engineering/29939/internet-of-things/akilandeshwari-k
Accessing Information of Emergency Medical Services through Internet of ThingsIJARIIT
IoT is the advanced technology which is use in daily life. IoT make easy to connect different smart devices with
each other by using the internet. IOT is given the ability to computer system to run application program from different
vendors. So in this paper we are accessing the data based on IoT technology for emergency medical services. The fast
development of Internet of Thing.
The role of the internet of things in healthcare future trends and challengesNoman Shaikh
With recent advancements in the Internet of Things (IoT), the sector of healthcare has grown increasingly expanded. Physicians and hospital staff will execute their tasks more conveniently and intelligently thanks to the Internet of Things. There is an unparalleled possibility to improve the quality and productivity of therapies and the patient's well-being and government funding, thanks to this technology-based therapy method.
Presentation at Social & Healthcare ICT Conference organized by The Association of Finnish Local and Regional Authorities, about Artificial Intelligence in pharmacology, clinical diagnosis, intensive care, hospital ward, assisted living and home care.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
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/
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.
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
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 Overview
-------------------------------------------
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
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
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 – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – 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:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
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 “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
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IoT in healthcare
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Little data… ability to react with speed + Big data… ability to act at scale
Healthcare domain embraces IoT to make its services better than ever.
For the sake of higher quality delivery.
And drive down costs from clinical and
operations inefficiencies.
Various medical devices,
sensors, and diagnostic and
imaging devices constitute
a core part of IoT-based
healthcare services.
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Prime target for malicious cyber groups
“The health sector will continue to be pummeled by any and every script
kiddie and sophisticated cybercriminal dedicated to exfiltrating
electronic health records and PII for infinite variation of use and optimal
capitalization on dark web forums”
Immense budgets + seasoned experts
against
minuscule resources + time + dedication
All you need is only one cyber-hygienically apathetic employee in one of
the target organizations that opens an attachment or clicks a maliciou
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Immense budgets + seasoned experts against minuscule resources + time + dedication
Administration
Care area
Patient room
Medical devices
“The health sector will continue to be pummeled by any and every script
kiddie and sophisticated cybercriminal dedicated to exfiltrating
electronic health records and personally identifiable information for
infinite variation of use and optimal capitalization on dark web forums.”
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Patients alerted of vulnerable “endpoints”
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“… could then be used to modify
programming commands to the
implanted device, which could
result in rapid battery depletion
and/or administration of
inappropriate pacing or shocks.”
“…a hacker could exploit
to overdose diabetic
patients with insulin.”
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Attention on medical device security
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EU is concerned about healthcare IoT security
New medical systems and devices need to be classified according to
their risk before they can be certified and conformity with the Medical
Devices Directive, the In Vitro Diagnostic Device Directive or the Active
Implantable Medical Device Directive can be confirmed. Conformity
with MDD is also applicable to certain ICT products used in hospitals.
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Hospital devices: frankensteined attack surface
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Threat modelling the clinical scenario is a scary job
The attack surface for medical devices is simply
larger than the maturity of standardized
procedures to test those surface areas.
Device testing: time available,
tools available, skill level
available? Postmarket
management of cybersecurity?
Hardware physical interfaces
Physical networking ports
Debug / admin ports
WiFi / RF
Data transfer and storage
Cryptographic implementations
HL7 implementations
Hardware sensors
Input parsing / validation
Command / data authentication
Integrated clinical environment:
a platform to create a medical
‘Internet of Things’ around the
care of a single patient.
Heterogeneous medical devices
& auxiliary apps from different
vendors connected together.
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Security challenge in healthcare environment
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Security aspects are considered in OT,
but given that most systems are not
connected it is mostly physical security.
Security concepts such as user-based access
control applies less often in OT systems than
they do in IT.
Similar to transition from Industrie 3.0 to Industrie 4.0
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Medical device hijack (zero-day attack)
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Connected to Internet? Poor authentication? Local Admin privilege apps? Vendor remote access?
Unpatched OS? Unnecessary services enabled? Communication not secure? No encryption? No anti-
virus installed? Security patches not applied – ever? Running on end-of-life operating system?
Medical devices have become a key pivot point for attackers within healthcare networks
Devices vulnerable to MEDJACK.3 includes diagnostic equipment (PET scanners, CT scanners, MRI machines, etc.),
therapeutic equipment (infusion pumps, medical lasers, surgical machines), life support equipment (heart – lung
machines, medical ventilators, extracorporeal membrane oxygenation machines and dialysis machines) and more.
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From hacks to hospitals being ransomed
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Medical space is extremely vulnerable to these issues
“34% of Health Trusts in the
U.K., and 60% of Scottish trusts,
hit with ransomware within the
last 18 months. One NHS area
had to transfer patients
because they were shut down.
Other countries affected as well,
including Germany.”
When ransomware happens the payment is usually in bitcoin.
Companies getting hacked often don’t know anything about bitcoin, and are
hiring law firms to acquire and hold bitcoin for them in case they get hacked.
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Shift to ransomware
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Attackers are shifting their attention to
ransomware attacks because of the glut of stolen
health information hitting the black market.
88 out of the 260 NHS trusts
across England, Scotland,
and Wales were the victim
of ransomware attacks over
the last 18-month period.
Dark Web examples:
Ransomware-as-a-Service listed on Alphabay and
Ransomware Kit on DreamMarket, both fully
undetectable by traditional security technologies.
Victims' need to access the infected system is greater than the fiscal demands of the attacker
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SAMAS RansomWorm
Domain Credential Theft
Exploit front-facing servers for a known
vulnerability (CVE-2010-0738)
Once inside, use Mimikatz/Bladabindi/Derusbi
to steal domain admin credentials
Active Directory Reconnaissance
Query AD with Windows Utility (CSVDE)
Verify a target is alive using PING command
Lateral Movement
Install infection using Windows Utility (PSEXEC)
Infect the endpoint
Self-propagate through the network, until each
and every endpoint and server is locked down
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Spreads inside throughout entire network to encrypt every server & computer — and backups
Time will tell
might not be a
good security
approach.
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EU Agency for Network and Information Security
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Most critical are interconnected clinical information systems and networked medical devices
Due to the great number of significant assets at stake (patient life, sensitive personal
information and financial resources) information security is a key issue for smart hospitals.
The notion of smart hospitals is introduced when IoT
components are supporting core functions of a hospital:
Establish effective enterprise governance for cyber security
Implement state-of-the-art security measures
Provide specific IT security requirements for IoT components
Invest in Network Information Service products
Establish an information security sharing mechanism
Conduct risk assessment and vulnerability assessment
Perform penetration testing and auditing
Support multi-stakeholder communication platforms (ISACs)
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IoT healthcare services and applications
Focus on the following security requirements:
Confidentiality Integrity Availability
Data freshness Non-repudiation Authorization
Resiliency Fault tolerance Self-healing
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Source:
The Internet of Things for Health Care:
A Comprehensive Survey, IEEE, 2015
Data-in-motion protection
interruption, interception, modification, fabrication, replay
Host properties
user compromise, hardware compromise, software compromise
Network properties
standard protocol compromise, network protocol stack attack
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Industrial IoT security framework
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Security model & policy:
ensure confidentiality, integrity and availability of the system
Data protection
Security configuration & management
Security monitoring & analysis:
preserving system state throughout the operational lifecycle
Communications & connectivity protection:
cryptographic techniques for integrity and confidentiality, information flow control techniques
Endpoint protection (egde & cloud):
physical security functions, cyber security techniques and an authoritative identity
Source: Industrial Internet Consortium Security Working Group