General short overview of how do file analysis and decomposition engines work and what components do they consist of, problems associated with the domain, etc. Slides are from FSec 2012 conference.
These slides are the basis of an Open Repositories 2015 talk about Archivematica integration.
Abstract: The open repository ecosystem consists of many interlocking systems which satisfy needs at different points in content management workflows, and these differ within and among institutions. Archivematica is a digital preservation system which aims to integrate with existing repository, storage and access systems in order to leverage the resources that institutions have invested towards building their repository over time. The presentation will cover every integration the Archivematica project has completed thus far, including Dspace and DuraCloud, LOCKSS, Islandora/Fedora, Archivists' Toolkit, AccessToMemory (AtoM), CONTENTdm, Arkivum, HP Trim, and OpenStack, as well as ongoing projects with ArchivesSpace, Dataverse, and BitCurator. Each of these projects has had its own set of limitations in scope because of the requirements of the project sponsor and/or the limitations of other system, so in many ways several of them are not, and may never be 'complete' integrations. The discussion will explore what that means and strategies for expanding the functional capabilities of integration work over time. It will address scoping integration workflows and building requirements with limitations on functionality and resources. We will examine how systems can be built and enhanced in ways that accommodate diverse workflows and varied interlocking endpoints.
Presentation slides from demonstration of hierarchical (or, arranged) DIPs from Archivematica to AtoM. Functionality to be available in Archivematica version 1.5 and AtoM version 2.2.
This document discusses end-to-end digital preservation for diverse collections using open source tools Archivematica and Access to Memory (AtoM). It provides overviews of Archivematica, which creates standards-based Archival Information Packages (AIPs) for long-term preservation, and AtoM, which allows for standards-based description and access in a multilingual, multi-repository environment. Integration between the two is described to provide a workflow where content is preserved using Archivematica and metadata and access copies are managed and provided in AtoM.
The document discusses interoperability in digital libraries. It describes how digital libraries aim to support interoperability at three levels: data gathering, harvesting, and federation. It also discusses protocols used for interoperability such as OAI-PMH, DCMES, and LDAP. OAI-PMH allows harvesting of metadata using the OAI-PMH protocol, while DCMES defines a set of 15 elements for resource description. LDAP enables locating resources on a network.
This document provides an overview of Archivematica and Access to Memory (AtoM) and how they can be used together for digital preservation and access. Archivematica is an open source digital preservation system that uses standards to create preservation packages (Archival Information Packages or AIPs) while AtoM is a content management system that can be used to describe and provide access to content. The document discusses how content could be described and managed in AtoM, preserved using Archivematica, and then have access copies and metadata handed back to AtoM for access. Integration with other systems like DSpace is also mentioned. Key features of Archivematica like standards compliance, flexibility and handling different types of digital content are
This document provides an analysis of various file formats. It discusses how file formats can be structured, compressed, encrypted or a combination. File formats are also categorized as being open, proprietary, or generalized container formats. The document outlines why analyzing file formats is important for anti-virus protection, computer forensics, software development and more. It describes how to analyze file formats through specifications, reverse engineering, and observation. Tips are provided for coding unpackers and validators including security risks, practical problems, and using core libraries.
The Digital Detective Game is an activity where players use their smartphones to take close-up photos of common household items in different rooms of a house. They then text the photos one by one to other players who try to identify the items and earn points. The player with the most points after all photos have been identified wins the game.
Network forensics is the capture, recording, and analysis of network events and traffic in order to discover the source of security attacks or other problem incidents. It involves systematically capturing and analyzing network traffic and events to trace and prove a network security incident. Network forensics provides crucial network-based evidence that can be used to successfully prosecute criminals. It is a difficult process that depends on maintaining high-quality network information.
These slides are the basis of an Open Repositories 2015 talk about Archivematica integration.
Abstract: The open repository ecosystem consists of many interlocking systems which satisfy needs at different points in content management workflows, and these differ within and among institutions. Archivematica is a digital preservation system which aims to integrate with existing repository, storage and access systems in order to leverage the resources that institutions have invested towards building their repository over time. The presentation will cover every integration the Archivematica project has completed thus far, including Dspace and DuraCloud, LOCKSS, Islandora/Fedora, Archivists' Toolkit, AccessToMemory (AtoM), CONTENTdm, Arkivum, HP Trim, and OpenStack, as well as ongoing projects with ArchivesSpace, Dataverse, and BitCurator. Each of these projects has had its own set of limitations in scope because of the requirements of the project sponsor and/or the limitations of other system, so in many ways several of them are not, and may never be 'complete' integrations. The discussion will explore what that means and strategies for expanding the functional capabilities of integration work over time. It will address scoping integration workflows and building requirements with limitations on functionality and resources. We will examine how systems can be built and enhanced in ways that accommodate diverse workflows and varied interlocking endpoints.
Presentation slides from demonstration of hierarchical (or, arranged) DIPs from Archivematica to AtoM. Functionality to be available in Archivematica version 1.5 and AtoM version 2.2.
This document discusses end-to-end digital preservation for diverse collections using open source tools Archivematica and Access to Memory (AtoM). It provides overviews of Archivematica, which creates standards-based Archival Information Packages (AIPs) for long-term preservation, and AtoM, which allows for standards-based description and access in a multilingual, multi-repository environment. Integration between the two is described to provide a workflow where content is preserved using Archivematica and metadata and access copies are managed and provided in AtoM.
The document discusses interoperability in digital libraries. It describes how digital libraries aim to support interoperability at three levels: data gathering, harvesting, and federation. It also discusses protocols used for interoperability such as OAI-PMH, DCMES, and LDAP. OAI-PMH allows harvesting of metadata using the OAI-PMH protocol, while DCMES defines a set of 15 elements for resource description. LDAP enables locating resources on a network.
This document provides an overview of Archivematica and Access to Memory (AtoM) and how they can be used together for digital preservation and access. Archivematica is an open source digital preservation system that uses standards to create preservation packages (Archival Information Packages or AIPs) while AtoM is a content management system that can be used to describe and provide access to content. The document discusses how content could be described and managed in AtoM, preserved using Archivematica, and then have access copies and metadata handed back to AtoM for access. Integration with other systems like DSpace is also mentioned. Key features of Archivematica like standards compliance, flexibility and handling different types of digital content are
This document provides an analysis of various file formats. It discusses how file formats can be structured, compressed, encrypted or a combination. File formats are also categorized as being open, proprietary, or generalized container formats. The document outlines why analyzing file formats is important for anti-virus protection, computer forensics, software development and more. It describes how to analyze file formats through specifications, reverse engineering, and observation. Tips are provided for coding unpackers and validators including security risks, practical problems, and using core libraries.
The Digital Detective Game is an activity where players use their smartphones to take close-up photos of common household items in different rooms of a house. They then text the photos one by one to other players who try to identify the items and earn points. The player with the most points after all photos have been identified wins the game.
Network forensics is the capture, recording, and analysis of network events and traffic in order to discover the source of security attacks or other problem incidents. It involves systematically capturing and analyzing network traffic and events to trace and prove a network security incident. Network forensics provides crucial network-based evidence that can be used to successfully prosecute criminals. It is a difficult process that depends on maintaining high-quality network information.
The document discusses various aspects of network forensics and investigating logs. It covers analyzing log files as evidence, maintaining accurate timekeeping across systems, configuring extended logging in IIS servers, and the importance of log file accuracy and authenticity when using logs as evidence in an investigation.
A 1-day short course developed for visiting guests from Tecsup on network forensics, prepared in a day : ]
The requirements/constraints were 5-7 hours of content and that the target audience had very little forensic or networking knowledge. [For that reason, flow analysis was not included as an exercise, discussion of network monitoring solutions was limited, and the focus was on end-node forensics, not networking devices/appliances themselves]
Amazonia Tasty restaurant aims to provide an authentic Brazilian dining experience in a warm atmosphere. It will offer meals to local shelters and fundraising opportunities. The restaurant will use radio, signs, websites and social media for marketing and rely on word-of-mouth from satisfied customers. The target market is people aged 20-60 who work in the area as well as local high school students. The owners believe the restaurant will be successful and are seeking $110,000 from a bank loan and $325,000 from themselves and family for startup costs.
Presentazione per il corso di Reti di Calcolatori all'Università Ca' Foscari di Venezia, anno accademico 2012-2013.
Il link nell'ultima slide è stato disattivato, quello corretto per la relazione in PDF è:
https://www.dropbox.com/s/w78uwpsm7xm1yr1/RelazioneNetworkForensics.pdf
The document outlines six essential elements of a fair-play mystery: 1) The detective must be memorable to distinguish them from others. 2) The crime must be significant like murder, blackmail, or theft. 3) The criminal must be a worthy opponent to match the detective's intellect. 4) All suspects, including the criminal, must be introduced early on. 5) All clues discovered by the detective must be available to the reader. 6) The solution must be logical when revealed to tie all the clues together.
The document outlines key elements and characteristics of detective fiction stories. It discusses that detective stories typically involve a memorable detective solving a significant crime against a worthy opponent. All suspects should be introduced early and clues made available to readers. The ending must be logical. The detective is often eccentric and superior, helping readers solve the case. The criminal is clever but villainous. The story involves an investigation with untrustworthy suspects. It builds to a climax where the detective explains their conclusion, surprising readers.
Digital forensics is the preservation, identification, extraction and documentation of computer evidence for use in courts. There are various branches including network, firewall, database and mobile device forensics. Digital forensics helps solve cases of theft, fraud, hacking and viruses. Challenges include increased data storage, rapid technology changes and lack of physical evidence. Three case studies showed how digital forensics uncovered evidence through encrypted communications, text messages and diverted drug operations. The future of digital forensics includes more sophisticated tools and techniques to analyze large amounts of data.
This document provides an overview of computer forensics. It defines computer forensics as identifying, preserving, analyzing and presenting digital evidence in a legally acceptable manner. The objective is to find evidence related to cyber crimes. Computer forensics has a history in investigating financial fraud, such as the Enron case. It describes the types of digital evidence, tools used, and steps involved in computer forensic investigations. Key points are avoiding altering metadata and overwriting unallocated space when collecting evidence.
Computer forensics involves identifying, preserving, analyzing, and presenting digital evidence from computers or other electronic devices in a way that is legally acceptable. The main goal is not only to find criminals, but also to find evidence and present it in a way that leads to legal action. Cyber crimes occur when technology is used to commit or conceal offenses, and digital evidence can include data stored on computers in persistent or volatile forms. Computer forensics experts follow a methodology that involves documenting hardware, making backups, searching for keywords, and documenting findings to help with criminal prosecution, civil litigation, and other applications.
This document discusses the need for standardization of self-encrypting storage security. It outlines goals such as data confidentiality, access control, and key management. It examines threat models and alternatives to self-encrypting storage such as host-based or application-based encryption. Advantages of self-encrypting storage include low cost, high security from encryption in a closed system, protection from malicious hosts, and transparency to users. The document also covers trust models, interfaces, and additional possible features.
This document discusses iOS application penetration testing from the perspective of a penetration tester. It begins with an overview of iOS applications and the iOS monoculture, covering code signing, sandboxing, and encryption. It then discusses various techniques a penetration tester may use, including checking compile options, exploiting URL schemes, analyzing insecure data storage in databases, property lists, keyboard caches, image caches, and error logs. It also covers runtime analysis using tools like Clutch, Class-Dump-Z, and Cycript to decrypt binaries, dump classes, and interact with running apps. Examples are provided of potential attacks against apps that involve bypassing locks, extracting hardcoded keys, or injecting malicious code. Defense techniques are also briefly explained.
Slide deck for the Secruity Weekly session on Oct 25th 2018. Code is up on www.github/YossiSassi. Special thanks to Eyal Neemany & Omer Yair who helped prep this talk.
Jaime Blasco - Fighting Advanced Persistent Threat (APT) with Open Source Too...RootedCON
The document discusses advanced persistent threats (APTs) and methods for fighting them using open source tools. It describes the characteristics of APTs and provides examples like the GhostNet and Aurora attacks. It also analyzes the Trojan.Hydraq used in Aurora. The key to fighting APTs is centralizing and correlating security data. Effective countermeasures include log monitoring, integrity monitoring, IDS/IPS, and analyzing suspicious network traffic and files to build a behavior matrix.
This document discusses architecting a data lake. It begins by introducing the speaker and topic. It then defines a data lake as a repository that stores enterprise data in its raw format including structured, semi-structured, and unstructured data. The document outlines some key aspects to consider when architecting a data lake such as design, security, data movement, processing, and discovery. It provides an example design and discusses solutions from vendors like AWS, Azure, and GCP. Finally, it includes an example implementation using Azure services for an IoT project that predicts parts failures in trucks.
This document summarizes the UW Desktop Encryption Project. The project aims to research encryption tools to protect restricted data on lost or stolen devices. It will recommend a product for pilot testing and evaluate its full disk and file/folder encryption. Challenges include supporting different platforms, key management, and gaining user acceptance. The project selected SafeBoot due to its features and will pilot it through June before recommending a solution to sponsors.
As more organizations implement cloud strategies and technologies, the volume of data being transmitted to and from the cloud increases – data that must be protected. Security monitoring for threats, compromise or data theft within cloud-based applications has been difficult to achieve without the use of VM-based monitoring agents, but this is changing. Fidelis Network® Sensors coupled with Netgate TNSR™ can provide an easy-to-deploy cloud mirror port for traffic visibility, threat detection, and data loss and theft detection.
If you currently have AWS-based applications or are considering hosting applications in AWS, watch this recorded webinar to find out how Fidelis and Netgate can support the security of your cloud-based data via a high-speed cloud mirror port.
In this webinar, we discuss:
- The cloud environment and the state of cloud security today
- The technology and the integration capabilities of Netgate TNSR and Fidelis Network
- The benefits of deploying Fidelis Network sensors in the cloud no reconfiguring of applications required
Toni de la Fuente - Automate or die! How to survive to an attack in the Cloud...RootedCON
Los procedimientos relacionados con Respuesta a Incidentes y Análisis Forense son diferentes en la nube respecto a cuando se realizan en entornos tradicionales, locales. Veremos las diferencias entre el análisis forense digital tradicional y el relacionado con sistemas en la nube de AWS, Azure o Google Compute Platform. Cuando se trata de la nube y nos movemos en un entorno totalmente virtual nos enfrentamos a desafíos que son diferentes al mundo tradicional. Lo que antes era hardware, ahora es software. Con los proveedores de infraestructura en la nube trabajamos con APIs, creamos, eliminamos o modificamos cualquier recurso con una llamada a su API. Disponemos de balanceadores, servidores, routers, firewalls, bases de datos, WAFs, sistemas de cifrado y muchos recursos más a sin abrir una caja y sin tocar un cable. A golpe de comando. Es lo que conocemos como Infraestructura como código. Si lo puedes programar, lo puedes automatizar. ¿Como podemos aprovecharnos de ello desde el punto de vista de la respuesta a incidentes, análisis forense o incluso hardening automatizado?
Security in IaaS, attacks, hardening, incident response, forensics and all about its automation. Despite I will talk about general concept related to AWS, Azure and GCP, I will show specific demos and threats in AWS and I will go in detail with some caveats and hazards in AWS.
Digital forensics involves investigating computer security incidents by acquiring digital evidence without alteration and then analyzing the evidence to answer key questions like who was involved, what happened, when and how. The typical investigation process involves acquiring evidence by imaging systems or storage media, recovering files and metadata, analyzing the evidence through techniques like event reconstruction or locating contraband material, and presenting findings. Challenges include the massive amounts of potential data, limited system logging, and needing to explain technical details simply. Standards, better system auditing, and databases of known file systems and malware could help advance the field.
Digital forensics involves investigating computer security incidents by answering questions about who, what, when, where, why and how. A typical investigation has four phases: acquisition of evidence without altering it, recovery of data from copies of the evidence, analysis to locate contraband, reconstruct events or determine compromise, and presentation of findings. Challenges include massive data volumes, limited system logging, unknown files and attributing authorship. Standards, better tools, more research and documentation are needed as digital evidence becomes more central to investigations.
The document discusses various aspects of network forensics and investigating logs. It covers analyzing log files as evidence, maintaining accurate timekeeping across systems, configuring extended logging in IIS servers, and the importance of log file accuracy and authenticity when using logs as evidence in an investigation.
A 1-day short course developed for visiting guests from Tecsup on network forensics, prepared in a day : ]
The requirements/constraints were 5-7 hours of content and that the target audience had very little forensic or networking knowledge. [For that reason, flow analysis was not included as an exercise, discussion of network monitoring solutions was limited, and the focus was on end-node forensics, not networking devices/appliances themselves]
Amazonia Tasty restaurant aims to provide an authentic Brazilian dining experience in a warm atmosphere. It will offer meals to local shelters and fundraising opportunities. The restaurant will use radio, signs, websites and social media for marketing and rely on word-of-mouth from satisfied customers. The target market is people aged 20-60 who work in the area as well as local high school students. The owners believe the restaurant will be successful and are seeking $110,000 from a bank loan and $325,000 from themselves and family for startup costs.
Presentazione per il corso di Reti di Calcolatori all'Università Ca' Foscari di Venezia, anno accademico 2012-2013.
Il link nell'ultima slide è stato disattivato, quello corretto per la relazione in PDF è:
https://www.dropbox.com/s/w78uwpsm7xm1yr1/RelazioneNetworkForensics.pdf
The document outlines six essential elements of a fair-play mystery: 1) The detective must be memorable to distinguish them from others. 2) The crime must be significant like murder, blackmail, or theft. 3) The criminal must be a worthy opponent to match the detective's intellect. 4) All suspects, including the criminal, must be introduced early on. 5) All clues discovered by the detective must be available to the reader. 6) The solution must be logical when revealed to tie all the clues together.
The document outlines key elements and characteristics of detective fiction stories. It discusses that detective stories typically involve a memorable detective solving a significant crime against a worthy opponent. All suspects should be introduced early and clues made available to readers. The ending must be logical. The detective is often eccentric and superior, helping readers solve the case. The criminal is clever but villainous. The story involves an investigation with untrustworthy suspects. It builds to a climax where the detective explains their conclusion, surprising readers.
Digital forensics is the preservation, identification, extraction and documentation of computer evidence for use in courts. There are various branches including network, firewall, database and mobile device forensics. Digital forensics helps solve cases of theft, fraud, hacking and viruses. Challenges include increased data storage, rapid technology changes and lack of physical evidence. Three case studies showed how digital forensics uncovered evidence through encrypted communications, text messages and diverted drug operations. The future of digital forensics includes more sophisticated tools and techniques to analyze large amounts of data.
This document provides an overview of computer forensics. It defines computer forensics as identifying, preserving, analyzing and presenting digital evidence in a legally acceptable manner. The objective is to find evidence related to cyber crimes. Computer forensics has a history in investigating financial fraud, such as the Enron case. It describes the types of digital evidence, tools used, and steps involved in computer forensic investigations. Key points are avoiding altering metadata and overwriting unallocated space when collecting evidence.
Computer forensics involves identifying, preserving, analyzing, and presenting digital evidence from computers or other electronic devices in a way that is legally acceptable. The main goal is not only to find criminals, but also to find evidence and present it in a way that leads to legal action. Cyber crimes occur when technology is used to commit or conceal offenses, and digital evidence can include data stored on computers in persistent or volatile forms. Computer forensics experts follow a methodology that involves documenting hardware, making backups, searching for keywords, and documenting findings to help with criminal prosecution, civil litigation, and other applications.
This document discusses the need for standardization of self-encrypting storage security. It outlines goals such as data confidentiality, access control, and key management. It examines threat models and alternatives to self-encrypting storage such as host-based or application-based encryption. Advantages of self-encrypting storage include low cost, high security from encryption in a closed system, protection from malicious hosts, and transparency to users. The document also covers trust models, interfaces, and additional possible features.
This document discusses iOS application penetration testing from the perspective of a penetration tester. It begins with an overview of iOS applications and the iOS monoculture, covering code signing, sandboxing, and encryption. It then discusses various techniques a penetration tester may use, including checking compile options, exploiting URL schemes, analyzing insecure data storage in databases, property lists, keyboard caches, image caches, and error logs. It also covers runtime analysis using tools like Clutch, Class-Dump-Z, and Cycript to decrypt binaries, dump classes, and interact with running apps. Examples are provided of potential attacks against apps that involve bypassing locks, extracting hardcoded keys, or injecting malicious code. Defense techniques are also briefly explained.
Slide deck for the Secruity Weekly session on Oct 25th 2018. Code is up on www.github/YossiSassi. Special thanks to Eyal Neemany & Omer Yair who helped prep this talk.
Jaime Blasco - Fighting Advanced Persistent Threat (APT) with Open Source Too...RootedCON
The document discusses advanced persistent threats (APTs) and methods for fighting them using open source tools. It describes the characteristics of APTs and provides examples like the GhostNet and Aurora attacks. It also analyzes the Trojan.Hydraq used in Aurora. The key to fighting APTs is centralizing and correlating security data. Effective countermeasures include log monitoring, integrity monitoring, IDS/IPS, and analyzing suspicious network traffic and files to build a behavior matrix.
This document discusses architecting a data lake. It begins by introducing the speaker and topic. It then defines a data lake as a repository that stores enterprise data in its raw format including structured, semi-structured, and unstructured data. The document outlines some key aspects to consider when architecting a data lake such as design, security, data movement, processing, and discovery. It provides an example design and discusses solutions from vendors like AWS, Azure, and GCP. Finally, it includes an example implementation using Azure services for an IoT project that predicts parts failures in trucks.
This document summarizes the UW Desktop Encryption Project. The project aims to research encryption tools to protect restricted data on lost or stolen devices. It will recommend a product for pilot testing and evaluate its full disk and file/folder encryption. Challenges include supporting different platforms, key management, and gaining user acceptance. The project selected SafeBoot due to its features and will pilot it through June before recommending a solution to sponsors.
As more organizations implement cloud strategies and technologies, the volume of data being transmitted to and from the cloud increases – data that must be protected. Security monitoring for threats, compromise or data theft within cloud-based applications has been difficult to achieve without the use of VM-based monitoring agents, but this is changing. Fidelis Network® Sensors coupled with Netgate TNSR™ can provide an easy-to-deploy cloud mirror port for traffic visibility, threat detection, and data loss and theft detection.
If you currently have AWS-based applications or are considering hosting applications in AWS, watch this recorded webinar to find out how Fidelis and Netgate can support the security of your cloud-based data via a high-speed cloud mirror port.
In this webinar, we discuss:
- The cloud environment and the state of cloud security today
- The technology and the integration capabilities of Netgate TNSR and Fidelis Network
- The benefits of deploying Fidelis Network sensors in the cloud no reconfiguring of applications required
Toni de la Fuente - Automate or die! How to survive to an attack in the Cloud...RootedCON
Los procedimientos relacionados con Respuesta a Incidentes y Análisis Forense son diferentes en la nube respecto a cuando se realizan en entornos tradicionales, locales. Veremos las diferencias entre el análisis forense digital tradicional y el relacionado con sistemas en la nube de AWS, Azure o Google Compute Platform. Cuando se trata de la nube y nos movemos en un entorno totalmente virtual nos enfrentamos a desafíos que son diferentes al mundo tradicional. Lo que antes era hardware, ahora es software. Con los proveedores de infraestructura en la nube trabajamos con APIs, creamos, eliminamos o modificamos cualquier recurso con una llamada a su API. Disponemos de balanceadores, servidores, routers, firewalls, bases de datos, WAFs, sistemas de cifrado y muchos recursos más a sin abrir una caja y sin tocar un cable. A golpe de comando. Es lo que conocemos como Infraestructura como código. Si lo puedes programar, lo puedes automatizar. ¿Como podemos aprovecharnos de ello desde el punto de vista de la respuesta a incidentes, análisis forense o incluso hardening automatizado?
Security in IaaS, attacks, hardening, incident response, forensics and all about its automation. Despite I will talk about general concept related to AWS, Azure and GCP, I will show specific demos and threats in AWS and I will go in detail with some caveats and hazards in AWS.
Digital forensics involves investigating computer security incidents by acquiring digital evidence without alteration and then analyzing the evidence to answer key questions like who was involved, what happened, when and how. The typical investigation process involves acquiring evidence by imaging systems or storage media, recovering files and metadata, analyzing the evidence through techniques like event reconstruction or locating contraband material, and presenting findings. Challenges include the massive amounts of potential data, limited system logging, and needing to explain technical details simply. Standards, better system auditing, and databases of known file systems and malware could help advance the field.
Digital forensics involves investigating computer security incidents by answering questions about who, what, when, where, why and how. A typical investigation has four phases: acquisition of evidence without altering it, recovery of data from copies of the evidence, analysis to locate contraband, reconstruct events or determine compromise, and presentation of findings. Challenges include massive data volumes, limited system logging, unknown files and attributing authorship. Standards, better tools, more research and documentation are needed as digital evidence becomes more central to investigations.
This document discusses incident response and handling. It outlines the key steps in the incident response process: preparation, identification, containment, eradication, recovery, and lessons learned. Preparation involves forming a response team, developing procedures, and gathering resources. Identification involves determining the scope of an incident and preserving evidence. Containment focuses on limiting the damage of an incident through actions like quarantining systems, analyzing initial data, and making backups. Eradication aims to completely remove malicious software from affected systems.
Real World Application Threat Modelling By ExampleNCC Group
This document provides an overview of threat modeling a virtual appliance called the Djigzo Email Encryption Gateway. It describes a process for enumerating the technologies, interfaces, and functionality of the appliance without initial knowledge. This includes getting shell access, mapping listening ports, reviewing processes, and examining the database. Next, it creates high-level and low-level dataflow diagrams. Finally, it develops an initial threat model by brainstorming threats against different interfaces like the web interface, admin console, and mail transfer agent. The presentation concludes that thorough threat modeling requires deep security knowledge and significant effort to understand risks and verify mitigations.
This document discusses preservation metadata, which is the information necessary to maintain access to digital content over time. It provides examples of preservation metadata like identifiers, creation dates, and file formats. It also summarizes standards for preservation metadata, including the National Archives of Australia's Recordkeeping Metadata Standard and the PREMIS standard developed for digital preservation. Key elements of these standards include identifiers, events, relationships between objects, and technical information about file formats and storage.
Scientific data curation and processing with Apache TikaChris Mattmann
This document summarizes a talk about Apache Tika, a content analysis and detection toolkit. It discusses why content type detection is important, provides an overview of what Tika is and its history/community. It demonstrates how to use Tika's APIs for MIME detection, parsing, and metadata extraction. Finally, it discusses how NASA uses Tika within its Earth science data systems to process scientific file formats and extract metadata at large scales.
Dhruba Borthakur presented on Apache Hadoop and Hive. He discussed the architecture of Hadoop Distributed File System (HDFS) and how it is optimized for processing large datasets across commodity hardware. HDFS uses a master/slave architecture with a NameNode that manages metadata and DataNodes that store data blocks. Hive provides a SQL-like interface to query and analyze large datasets stored in HDFS. Facebook uses a large Hadoop cluster to process petabytes of data daily and many engineers are now using Hadoop and Hive. Borthakur proposed several ideas for collaborations between Hadoop and Condor.
This document discusses security concepts related to networks and the internet. It covers fundamental security objectives like confidentiality, integrity, and availability. It also discusses common security attacks like intrusion, denial of service, and information theft. The document examines technical safeguards and security models. It provides an overview of firewall solutions, capabilities, limitations, and types. It discusses security needs at the network, application, and system levels as they relate to messaging, web transactions, and threats from executable programs.
Archiving, E-Discovery, and Supervision with Spark and Hadoop with Jordan VolzDatabricks
This document discusses using Hadoop for archiving, e-discovery, and supervision. It outlines the key components of each task and highlights traditional shortcomings. Hadoop provides strengths like speed, ease of use, and security. An architectural overview shows how Hadoop can be used for ingestion, processing, analysis, and machine learning. Examples demonstrate surveillance use cases. While some obstacles remain, partners can help address areas like user interfaces and compliance storage.
Similar to Anatomy of File Analysis and Decomposition Engine (20)
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...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 integration of Salesforce with Bonterra Impact Management.
Interested in deploying an integration with Salesforce for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
Introduction of Cybersecurity with OSS at Code Europe 2024Hiroshi SHIBATA
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfChart Kalyan
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
A Comprehensive Guide to DeFi Development Services in 2024Intelisync
DeFi represents a paradigm shift in the financial industry. Instead of relying on traditional, centralized institutions like banks, DeFi leverages blockchain technology to create a decentralized network of financial services. This means that financial transactions can occur directly between parties, without intermediaries, using smart contracts on platforms like Ethereum.
In 2024, we are witnessing an explosion of new DeFi projects and protocols, each pushing the boundaries of what’s possible in finance.
In summary, DeFi in 2024 is not just a trend; it’s a revolution that democratizes finance, enhances security and transparency, and fosters continuous innovation. As we proceed through this presentation, we'll explore the various components and services of DeFi in detail, shedding light on how they are transforming the financial landscape.
At Intelisync, we specialize in providing comprehensive DeFi development services tailored to meet the unique needs of our clients. From smart contract development to dApp creation and security audits, we ensure that your DeFi project is built with innovation, security, and scalability in mind. Trust Intelisync to guide you through the intricate landscape of decentralized finance and unlock the full potential of blockchain technology.
Ready to take your DeFi project to the next level? Partner with Intelisync for expert DeFi development services today!
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
Letter and Document Automation for Bonterra Impact Management (fka Social Sol...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 automated letter generation for Bonterra Impact Management using Google Workspace or Microsoft 365.
Interested in deploying letter generation automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
4. • Collect as much information as possible
from files/binary objects
– Other contained files/objects
– Metadata, e.g. mobile app permissions,
geolocation, IP addresses, domains, etc.
• Strip protection layers for additional
analysis
• Do it really, really fast
• Do it at scale
16. • Signatures
• Various complexity
– Simple (e.g. PEiD)
• Simple byte and wildcard matching, hash matching
• 12 ?? 56 ?8 9?
– Medium (e.g. TitanMist)
• Small Regex like subset
– High (e.g. TLang)
• Almost full fledged programming language
• Other
17.
18. • Some parts depend on identification
• Dedicated analysis modules
• Internal/external modules