as boundary change the game with second by second application monitoring sometimes this will affect how you apply your problem analysis steps. perhaps things can change
Analytics for large-scale time series and event dataAnodot
Time series and event data form the basis for real-time insights about the performance of businesses such as ecommerce, the IoT, and web services, but gaining these insights involves designing a learning system that scales to millions and billions of data streams. In this presentation, Ira Cohen, Anodot cofounder and chief data scientist, outlines such a system that performs real-time machine learning and analytics on streams at massive scale.
Tripwire is a reliable intrusion detection system. It is a software tool that checks to see what has changed in your system. It mainly monitors the key attribute of your files; by key attribute we mean the binary signature, size and other related data. Security and operational stability must go hand in hand; if the user does not have control over the various operations taking place, then naturally the security of the system is also compromised. Tripwire has a powerful feature which pinpoints the changes that has taken place, notifies the administrator of these changes, determines the nature of the changes and provide you with information you need for deciding how to manage the change.
Tripwire Integrity management solutions monitor changes to vital system and configuration files. Any changes that occur are compared to a snapshot of the established good baseline. The software detects the changes, notifies the staff and enables rapid recovery and remedy for changes. All Tripwire installation can be centrally managed. Tripwire software’s cross platform functionality enables you to manage thousands of devices across your infrastructure.
Security not only means protecting your system against various attacks but also means taking quick and decisive actions when your system is attacked.
First of all we must find out whether our system is attacked or not, earlier system logs are certainly handy. You can see evidences of password guessing and other suspicious activities. Logs are ideal for tracing steps of the cracker as he tries to penetrate into the system. But who has the time and the patience to examine the logs on a daily basis??
Analytics for large-scale time series and event dataAnodot
Time series and event data form the basis for real-time insights about the performance of businesses such as ecommerce, the IoT, and web services, but gaining these insights involves designing a learning system that scales to millions and billions of data streams. In this presentation, Ira Cohen, Anodot cofounder and chief data scientist, outlines such a system that performs real-time machine learning and analytics on streams at massive scale.
Tripwire is a reliable intrusion detection system. It is a software tool that checks to see what has changed in your system. It mainly monitors the key attribute of your files; by key attribute we mean the binary signature, size and other related data. Security and operational stability must go hand in hand; if the user does not have control over the various operations taking place, then naturally the security of the system is also compromised. Tripwire has a powerful feature which pinpoints the changes that has taken place, notifies the administrator of these changes, determines the nature of the changes and provide you with information you need for deciding how to manage the change.
Tripwire Integrity management solutions monitor changes to vital system and configuration files. Any changes that occur are compared to a snapshot of the established good baseline. The software detects the changes, notifies the staff and enables rapid recovery and remedy for changes. All Tripwire installation can be centrally managed. Tripwire software’s cross platform functionality enables you to manage thousands of devices across your infrastructure.
Security not only means protecting your system against various attacks but also means taking quick and decisive actions when your system is attacked.
First of all we must find out whether our system is attacked or not, earlier system logs are certainly handy. You can see evidences of password guessing and other suspicious activities. Logs are ideal for tracing steps of the cracker as he tries to penetrate into the system. But who has the time and the patience to examine the logs on a daily basis??
Fault Detection in Mobile Communication Networks Using Data Mining Techniques...ijcisjournal
A collection of datasets is Big data so that it to be To process huge and complex datasets becomes difficult.
so that using big data analytics the process of applying huge amount of datasets consists of many data
types is the big data on-hand theoretical models and technique tools. The technology of mobile
communication introduced low power ,low price and multi functional devices. A ground for data mining
research is analysis of data pertaining to mobile communication is used. theses mining frequent patterns
and clusters on data streams collaborative filtering and analysis of social network. The data analysis of
mobile communication has been often used as a background application to motivate many technical
problem in data mining research. This paper refers in mobile communication networking to find the fault
nodes between source to destination transmission using data mining techniques and detect the faults using
outliers. outlier detection can be used to find outliers in multivariate data in a simple ensemble way.
Network analysis with R to build a network.
Derek Milroy, IS Security Architect at U.S. Cellular Corporation, defined “vulnerability management” and how it affects today’s organizations during his presentation at the 2014 Chief Information Security Officer (CISO) Leadership Forum in Chicago on Nov. 19. In his presentation, “Enterprise Vulnerability Management/Security Incident Response,” Milroy noted vulnerability management has different meanings to different organizations, but an organization that utilizes vulnerability management processes can effectively safeguard its data.
According to Milroy, an organization should develop its own vulnerability management baselines to monitor its security levels. By doing so, Milroy said an organization can launch and control vulnerability management systems successfully. In addition, Milroy pointed out that vulnerability management problems occasionally will arise, but a well-prepared organization will be equipped to handle such issues: “Problems are going to happen … You have to work with your people. This can translate to any tool that you’re putting in place. Make sure your people have plans for what happens when it goes wrong, because it’s going to [happen] every single time.”
Milroy also noted that having actionable vulnerability management data is important for organizations of all sizes. If an organization evaluates its vulnerability management processes regularly, Milroy said, it can collect data and use this information to improve its security: “The simplest rule of thumb for vulnerability management, click the report, hand the report to someone. Don’t ever do that. There is no such thing as a report from a tool that you can just click and hand to someone until you first tune it and pare it down.”
- See more at: http://www.argylejournal.com/chief-information-security-officer/enterprise-vulnerability-managementsecurity-incident-response-derek-milroy-is-security-architect-u-s-cellular-corporation/#sthash.Buh6CzLS.dpuf
PreMonR - A Reactive Platform To Monitor Reactive ApplicationKnoldus Inc.
Applications whose foundation is laid on Reactive Manifesto accounts for being Reactive Applications. But can any monitoring pipeline ensure that its worthy enough to monitor your reactive fleet?
With years of experience in Reactive stack; Knoldus compiles all its learning into a Premonition based Reactive Monitoring and Alerting Platform i.e PremonR which is a single solution for all your enterprise monitoring needs.
This is the presentation I gave at VizSec 2014 on our information-theoretic method for anomaly detection. The conference was held in Paris in November 2014.
System Event Monitoring for Active AuthenticationCoveros, Inc.
The authors use system event monitoring to distinguish between the behavioral characteristics of normal and anomalous computer system users. Identifying anomalous behavior at the system event level diminishes privacy concerns and supports the identification of cross-application behavioral patterns.
Optimizing connected system performance md&m-anaheim-sandhi bhide 02-07-2017sandhibhide
Sandhiprakash Bhide presenting at the Smart Manufacturing Innovation Summit/Industry 4.0 event on "Optimizing Connected System Performance and Establishing Tangible Goals for Sensor Use"
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Fault Detection in Mobile Communication Networks Using Data Mining Techniques...ijcisjournal
A collection of datasets is Big data so that it to be To process huge and complex datasets becomes difficult.
so that using big data analytics the process of applying huge amount of datasets consists of many data
types is the big data on-hand theoretical models and technique tools. The technology of mobile
communication introduced low power ,low price and multi functional devices. A ground for data mining
research is analysis of data pertaining to mobile communication is used. theses mining frequent patterns
and clusters on data streams collaborative filtering and analysis of social network. The data analysis of
mobile communication has been often used as a background application to motivate many technical
problem in data mining research. This paper refers in mobile communication networking to find the fault
nodes between source to destination transmission using data mining techniques and detect the faults using
outliers. outlier detection can be used to find outliers in multivariate data in a simple ensemble way.
Network analysis with R to build a network.
Derek Milroy, IS Security Architect at U.S. Cellular Corporation, defined “vulnerability management” and how it affects today’s organizations during his presentation at the 2014 Chief Information Security Officer (CISO) Leadership Forum in Chicago on Nov. 19. In his presentation, “Enterprise Vulnerability Management/Security Incident Response,” Milroy noted vulnerability management has different meanings to different organizations, but an organization that utilizes vulnerability management processes can effectively safeguard its data.
According to Milroy, an organization should develop its own vulnerability management baselines to monitor its security levels. By doing so, Milroy said an organization can launch and control vulnerability management systems successfully. In addition, Milroy pointed out that vulnerability management problems occasionally will arise, but a well-prepared organization will be equipped to handle such issues: “Problems are going to happen … You have to work with your people. This can translate to any tool that you’re putting in place. Make sure your people have plans for what happens when it goes wrong, because it’s going to [happen] every single time.”
Milroy also noted that having actionable vulnerability management data is important for organizations of all sizes. If an organization evaluates its vulnerability management processes regularly, Milroy said, it can collect data and use this information to improve its security: “The simplest rule of thumb for vulnerability management, click the report, hand the report to someone. Don’t ever do that. There is no such thing as a report from a tool that you can just click and hand to someone until you first tune it and pare it down.”
- See more at: http://www.argylejournal.com/chief-information-security-officer/enterprise-vulnerability-managementsecurity-incident-response-derek-milroy-is-security-architect-u-s-cellular-corporation/#sthash.Buh6CzLS.dpuf
PreMonR - A Reactive Platform To Monitor Reactive ApplicationKnoldus Inc.
Applications whose foundation is laid on Reactive Manifesto accounts for being Reactive Applications. But can any monitoring pipeline ensure that its worthy enough to monitor your reactive fleet?
With years of experience in Reactive stack; Knoldus compiles all its learning into a Premonition based Reactive Monitoring and Alerting Platform i.e PremonR which is a single solution for all your enterprise monitoring needs.
This is the presentation I gave at VizSec 2014 on our information-theoretic method for anomaly detection. The conference was held in Paris in November 2014.
System Event Monitoring for Active AuthenticationCoveros, Inc.
The authors use system event monitoring to distinguish between the behavioral characteristics of normal and anomalous computer system users. Identifying anomalous behavior at the system event level diminishes privacy concerns and supports the identification of cross-application behavioral patterns.
Optimizing connected system performance md&m-anaheim-sandhi bhide 02-07-2017sandhibhide
Sandhiprakash Bhide presenting at the Smart Manufacturing Innovation Summit/Industry 4.0 event on "Optimizing Connected System Performance and Establishing Tangible Goals for Sensor Use"
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
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.
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/
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/
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.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
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
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
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.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
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.
2. FingerPointing ?
FingerPointing is a way through
w h ic h h u m a n s co m m u n icate
emotions of urgency, surprise, joy,
acknowle dgment, achievement,
blame, frustration, fear and more.
7. Systems Control Loop
Time to Collect
Monitor Collect
Info
Time to Detect/Analyze
Act
Time to Recover
Recover Analysis
Local Global
8. Systems Control Loop
Time to Collect
Meter Collector
Time to Detect/Analyze
Time to Recover
Recover Engine
Local Global
9. Problem Determination
Detection - Identifies violations or
anomalies.
Diagnosis - Analyzes violations or
anomalies.
Remediation - Recovers the
system to normal state
11. Detection
Thresholds - Matching single value/predicate.
Signature - Matching faults with known fault
signatures. It can detect a set of know faults.
Anomalies - Learn to recognize the normal
runtime behavior. It can detect previously
unseen faults.
12. Aniketos
No use of statistical machine learning.
Uses computational geometry - convex hull.
Convex hull - Encompassing shape around a
group of points.
Works independent of whether metrics are
correlated or not.
Stehle, Lynch et.al ICAC 2010
14. Training Phase
No one knows when enough training data is
collected.
If a system has an extensive test suite, that
represents normal behavior, then execution
of the test suite will produce a good training
dataset.
Replay request logs of production system on
test system.
15. Bounded Box Example
Given two metrics A and B, if the safe range of A
is 5 to 10 and B is 10 to 20 the normal behavior of
the system can be represented as 2D rectangle
with vertices (5,10), (5,20), (10,20) and (10,10)
Any datapoint that falls within that rectangle, for
example (7,15), is classified as normal.
Any datapoint that falls outside of the rectangle,
for example (15,15) is classified as anomalous.
22. Service Paths
Client requests take different “paths” through the
software invoking dynamic dependencies across
distributed systems. Ensemble of paths taken by
client requests - “Service Paths”
Key idea - Convert message traces per service
node to per edge signals and compute cross
correlations of these signals.
23. Path Discovery
A request path VC1->VS1->VS2->VS4
Collect timestamp, source/dest ip at each VS
node.
Calculates cross correlation between time
series signals across VS nodes.
If cross correlation has a spike at a phase
lag = latency between nodes, there exists a
path/edge between VS nodes.
24. App Vis
Network topology view
Augment with “service paths” ??
25. Remediation
Software Rejuvenation for Software Aging
Reactive - Reboots, Micro Reboots
Proactive - Time or load based
Checkpointing and Recovery
Treating bugs as allergies
26. Software Aging
Patriot missiles, used during the Gulf war, to
destroy Iraq’s Scud missile used a computer
who software accu mu late d er rors i.e
software aging.
The effect of aging in this case was mis-
interpretation of an incoming Scud as not a
missile but just a false alarm, which resulted
in death of 28 US soldiers.
27. Software Rejuvenation
Periodic preemptive rollback of continuously running
applications to prevent failures in the future.
Open - Not based on feedback from the system -
Elapsed Time, Cumulative jobs in system
Closed - Based on some notion of system health.
Continuously monitor, analyze the estimated time to
exhaustion of a resource.
Trivedi et. al Duke University.
28. Apache Web Server
MaxRequestPerChild - If this value is set
to a positive value, then the parent
process of Apache kills a child process as
soon as MaxRequestsPerChild request
have been handled by this child process.
By doing this, Apache limits “the amount
of memory a process can consume by
accidental memory leak”and “helps reduce
the num of process when server load
reduces.”
29. Treating Bugs as Allergies
Inspired by allergy treatment in real life. If
you are allergic to milk, remove dairy
products from your diet.
Rollback the program to a recent checkpoint
when a bug is detected, dynamically change
the execution environment based on failure
symptoms, and then re-execute the program
in modified environment.
Quin et. al SOSP 2005
31. Examples
Uninitialized reads may be avoided if every
newly allocated buffer is filled with zeros.
Data races can be avoided by changing time
related event such as thread scheduling,
asynchronous events.