One of the most important aspects of criminal justice is forensics science, or the practice of scientifically examining the physical evidence collected from the scene of a crime or a person of interest in a crime. Increase in the use of technology, it is now possible to forge once-upon-a-time concrete evidences like photographs. This talk will introduce you to concepts of picture forensics.
Crime Mapping & Analysis – Georgia Tech
Crime analysis is a law enforcement function that involves systematic analysis for identifying and analyzing patterns and trends in crime and disorder. Information on patterns can help law enforcement agencies deploy resources in a more effective manner, and assist detectives in identifying and apprehending suspects.
Crime Mapping & Analysis – Georgia Tech
Crime analysis is a law enforcement function that involves systematic analysis for identifying and analyzing patterns and trends in crime and disorder. Information on patterns can help law enforcement agencies deploy resources in a more effective manner, and assist detectives in identifying and apprehending suspects.
Lessons Learned Fighting Modern Cyberthreats in Critical ICS NetworksAngeloluca Barba
A presentation given in April 2019 in London during ICS Cyber Security Conference. I discuss an anonymized investigation conducted by our team to identify a real malware infection on a production network, the tools and techniques used to contain this threat and how to use threat intelligence and visibility to stay ahead of cyber adversaries.
Asset visibility and network baselining
Continuous network monitoring
Threat intelligence ingestion
Thorough incident response plans
AI & ML in Cyber Security - Welcome Back to 1999 - Security Hasn't ChangedRaffael Marty
We are writing the year 2017. Cyber security has been a discipline for many years and thousands of security companies are offering solutions to deter and block malicious actors in order to keep our businesses operating and our data confidential. But fundamentally, cyber security has not changed during the last two decades. We are still running Snort and Bro. Firewalls are fundamentally still the same. People get hacked for their poor passwords and we collect logs that we don't know what to do with. In this talk I will paint a slightly provocative and dark picture of security. Fundamentally, nothing has really changed. We'll have a look at machine learning and artificial intelligence and see how those techniques are used today. Do they have the potential to change anything? How will the future look with those technologies? I will show some practical examples of machine learning and motivate that simpler approaches generally win. Maybe we find some hope in visualization? Or maybe Augmented reality? We still have a ways to go.
A Review of Big data for Social Policy Decision Making Ridi Fe
This presentation is presented on ICSC 2018 at University Club - Universitas Gadjah Mada. it discusses how big data and cloud computing enhance social policy decision making. this research is supported by Microsoft Innovation Center UGM
Lessons Learned Fighting Modern Cyberthreats in Critical ICS NetworksAngeloluca Barba
A presentation given in April 2019 in London during ICS Cyber Security Conference. I discuss an anonymized investigation conducted by our team to identify a real malware infection on a production network, the tools and techniques used to contain this threat and how to use threat intelligence and visibility to stay ahead of cyber adversaries.
Asset visibility and network baselining
Continuous network monitoring
Threat intelligence ingestion
Thorough incident response plans
AI & ML in Cyber Security - Welcome Back to 1999 - Security Hasn't ChangedRaffael Marty
We are writing the year 2017. Cyber security has been a discipline for many years and thousands of security companies are offering solutions to deter and block malicious actors in order to keep our businesses operating and our data confidential. But fundamentally, cyber security has not changed during the last two decades. We are still running Snort and Bro. Firewalls are fundamentally still the same. People get hacked for their poor passwords and we collect logs that we don't know what to do with. In this talk I will paint a slightly provocative and dark picture of security. Fundamentally, nothing has really changed. We'll have a look at machine learning and artificial intelligence and see how those techniques are used today. Do they have the potential to change anything? How will the future look with those technologies? I will show some practical examples of machine learning and motivate that simpler approaches generally win. Maybe we find some hope in visualization? Or maybe Augmented reality? We still have a ways to go.
A Review of Big data for Social Policy Decision Making Ridi Fe
This presentation is presented on ICSC 2018 at University Club - Universitas Gadjah Mada. it discusses how big data and cloud computing enhance social policy decision making. this research is supported by Microsoft Innovation Center UGM
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.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
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.
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
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.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
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.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
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.
2. Myself
▪ Sumit Shrivastava – Security Analyst @ Network Intelligence India
Pvt. Ltd.
▪ 2+ years of work experience in the field of Digital Forensics and
Assessment
▪ Certifications
– Computer Hacking and Forensics Investigator v8, EC‐Council
– Certified Professional Forensics Analyst, IIS Mumbai
– Certified Professional Hacker NxG, IIS Mumbai
– Certified Information Security Consultant, IIS Mumbai
– Certified Information Security Expert – Level 1, Innobuzz Knowledge Solutions
5. Terminologies
▪ Digital Evidence – Digital Evidence is the digital data stored on the
digital medium in any form which can be used in the court of law
during trial
▪ Suspect – A person or a group of people thought of committing the
crime
▪ Accused – A person or a group of people who are charged with or on
a trial for committing a crime
▪ Digital Fingerprint – MD5 / SHA1 hashes of the hard disk.
6. ▪ Chain of Custody – A chronological document or paper trail,
highlighting the seizure, custody, control, and transfer of evidence
▪ Security Incident – A warning that expresses the threat to
information, computer security, or policies relating to computer
security. This warning could also be pointing up that the threat is
already occurred.
7. Steganography
▪ The practice of concealing messages or information within other
non‐secret text or data.
▪ Origin
– Steganos (Greek – covered)
– + graphy (English)
– = Steganographia (Modern Latin) ‐> Steganography (late 16th Century)
▪ The first recorded of this term was in 1499 by Johannes Trithemius in
his Steganographia, a treatise on cryptography and steganography,
disguised as the ‘book of magic’.
9. Ghiro Appliance
▪ Ghiro is a digital picture forensics tool
▪ Fully Automated
▪ Open Source
▪ Developed by ‐ Alessandro Tanasi & Marco Buoncristiano
▪ Current Version – 0.2.1
▪ Available as
– Package
– Virtual Appliance
10. Ghiro – Main Features
▪ Metadata Extraction – Metadata are divided in several categories
depending on standard they come from. For Example: EXIF, IPTC,
XMP.
▪ GPS Location – Some images contain the geotags in the metadata,
which defines the geo location where the image was shot
▪ MIME Format – It defines the type of image that is under
examination. For Example: image/jpeg, image/png, image/bmp.
▪ Error Level Analysis – ELA identifies the areas that are at different
compression levels. The entire picture should be roughly at same
compression level. If a difference is detected, then it likely indicates a
digital modification
11. ▪ Thumbnail Extraction – The thumbnails and data related to them are
extracted and stored for review.
▪ Thumbnail Consistency – Sometimes, when the original image is
edited, the thumbnail does not change. This detects the difference
between the thumbnail and the image in question
▪ Signature Engine – Over 120 signature provide evidence about most
critical data to highlight focal points and common exposures.
▪ Hash Matching – While looking for an image, where only hash is
provided, this feature is of great help. It searches for all the image
with that matches the provided hash.