This white paper provides a technical explanation of NDR Spam and recommend solutions that can prevent or limit exposure to this kind of unsolicited email.
In an Osterman Research survey conducted during January 2011, decision makers and influencers demonstrated that they are decidedly pessimistic about the future of spam and malware problems for 2011.
This white paper provides a technical explanation of NDR Spam and recommend solutions that can prevent or limit exposure to this kind of unsolicited email.
In an Osterman Research survey conducted during January 2011, decision makers and influencers demonstrated that they are decidedly pessimistic about the future of spam and malware problems for 2011.
Understand how a SPAM filter works. In this interactive webinar, we follow the path of an email from your server to the recipient's inbox and explain the end-to-end trials and tribulations of an email message as it flows from your outbox to (hopefully) the recipients inbox. This webinar is more technical than our previous email marketing webinars.-
Topics Covered:
• How current enterprise email filters work
• Tips to avoid getting accidentally blocked
• Tracking an email from send to delivery with possible pitfalls along the way
Presenters: Craig Stouffer, GM | Pinpointe and Mark Feldman, Marketing VP | NetProspex
Now a days Short Message Service(SMS) is most popular way to communication for mobile user because it is cheapest mode or version for communication than other mode.SMS is used for transmitting short length msg of around 160 character to different devices such as smart phones, cellular phones, PDAs using standardized communication protocols. The amount of Short Message Service (SMS) spam is increasing. SMS spam should be put into the spam folder, not the inbox. The growth of the mobile phone users has led to a dramatic increase in SMS spam messages. To avoid this problem SMS filtering Techniques are used. Our proposed approach filters SMS spam on an independent mobile phone on a large dataset and acceptable processing time. There are different approaches able to automatically detect and remove most of these messages, and the best-known ones are based on Bayesian decision theory and Support Vector Machines. Riya Mehta | Ankita Gandhi"A Survey: SMS Spam Filtering" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-3 , April 2018, URL: http://www.ijtsrd.com/papers/ijtsrd12850.pdf http://www.ijtsrd.com/computer-science/data-miining/12850/a-survey-sms-spam-filtering/riya-mehta
A multi layer architecture for spam-detection systemcsandit
As the email is becoming a prominent mode of communication so are the attempts to misuse it to
take undue advantage of its low cost and high reachability. However, as email communication
is very cheap, spammers are taking advantage of it for advertising their products, for
committing cybercrimes. So, researchers are working hard to combat with the spammers. Many
spam detections techniques and systems are built to fight spammers. But the spammers are
continuously finding new ways to defeat the existing filters. This paper describes the existing
spam filters techniques and proposes a multi-level architecture for spam email detection. We
present the analysis of the architecture to prove the effectiveness of the architecture.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Detecting Spambot as an Antispam Technique for Web Internet BBSijsrd.com
Spam which is one of the most popular and also the most relevant topic that needs to be understood in the current scenario. Everyone whether it may be a small child or an old person are using emails everyday all around the world. The scenario which we are seeing is that almost no one is aware or in simple sentence they do not know what actually the spam is and what they will do in their systems. Spam in general means unsolicited or unwanted mails. Botnets are considered one of the main source of the spam. Botnet means the group of software's called bots and the function of these bots is to run on several compromised computers autonomously and automatically. The main objective of this paper is to detect such a bot or spambots for the Bulletin Board System (BBS). BBS is a computer that is running software that allows users to leave a message and access information of general interest. Originally BBSes were accessed only over a phone line using a modem, but nowadays some BBSes allowed access via a Telnet, packet switched network, or packet radio connection. The main methodology that we are going to focus is on Behavioural-based Spam Detection (BSD) method. Behavioral-based Spam Detector (BSD) combines several behaviours of the spam bots at different stages including the behaviour of spam preparation before the spam session when the spammers search for an open relay SMTP service to send e-mails through, and the behaviour of spammers while connecting to the mail server. Detecting the abnormal behaviour produced by the spam activities gives a high rate of suspicion on the existence of bots.
According to a recent Return Path study, in the second half of 2011, global inbox placement rates were at a record low - 76.5 percent. In other words, nearly a quarter of all commercial emails never arrived in the inbox. Yikes!
Here is the final part of a two-part webinar series on email deliverability presented by James Thompson of Infusionsoft, Tom Sather of Return Path, and DJ Waldow of Waldow Social.
Whitepaper: Email Marketing Tips - How a SPAM Filter Works (Q & A)Pinpointe On-Demand
Whitepaper - Questions & Answers about how an Enterprise SPAM Filter Works – This accompanies our Webinar that can be viewed on demand at:
http://www.pinpointe.com/resources
Overview of Existing Methods of Spam Mining and Potential Usefulness of Sende...IDES Editor
This paper gives an overview and analyzes the
different existing anti spamming techniques both content based,
non content based methods and a combination of the duo. It
also suggests that a small change in one of the parameters in
the fuzzy string matching method could be useful to produce
better results.
Spam Detection in Social Networks Using Correlation Based Feature Subset Sele...Editor IJCATR
Bayesian classifier works efficiently on some fields, and badly on some. The performance of Bayesian Classifier suffers in fields that involve correlated features. Feature selection is beneficial in reducing dimensionality, removing irrelevant data, incrementing learning accuracy, and improving result comprehensibility. But, the recent increase of dimensionality of data place a hard challenge to many existing feature selection methods with respect to efficiency and effectiveness. In this paper, Bayesian Classifier with Correlation Based Feature Selection is introduced which can key out relevant features as well as redundancy among relevant features without pair wise correlation analysis. The efficiency and effectiveness of our method is presented through broad.
Understand how a SPAM filter works. In this interactive webinar, we follow the path of an email from your server to the recipient's inbox and explain the end-to-end trials and tribulations of an email message as it flows from your outbox to (hopefully) the recipients inbox. This webinar is more technical than our previous email marketing webinars.-
Topics Covered:
• How current enterprise email filters work
• Tips to avoid getting accidentally blocked
• Tracking an email from send to delivery with possible pitfalls along the way
Presenters: Craig Stouffer, GM | Pinpointe and Mark Feldman, Marketing VP | NetProspex
Now a days Short Message Service(SMS) is most popular way to communication for mobile user because it is cheapest mode or version for communication than other mode.SMS is used for transmitting short length msg of around 160 character to different devices such as smart phones, cellular phones, PDAs using standardized communication protocols. The amount of Short Message Service (SMS) spam is increasing. SMS spam should be put into the spam folder, not the inbox. The growth of the mobile phone users has led to a dramatic increase in SMS spam messages. To avoid this problem SMS filtering Techniques are used. Our proposed approach filters SMS spam on an independent mobile phone on a large dataset and acceptable processing time. There are different approaches able to automatically detect and remove most of these messages, and the best-known ones are based on Bayesian decision theory and Support Vector Machines. Riya Mehta | Ankita Gandhi"A Survey: SMS Spam Filtering" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-3 , April 2018, URL: http://www.ijtsrd.com/papers/ijtsrd12850.pdf http://www.ijtsrd.com/computer-science/data-miining/12850/a-survey-sms-spam-filtering/riya-mehta
A multi layer architecture for spam-detection systemcsandit
As the email is becoming a prominent mode of communication so are the attempts to misuse it to
take undue advantage of its low cost and high reachability. However, as email communication
is very cheap, spammers are taking advantage of it for advertising their products, for
committing cybercrimes. So, researchers are working hard to combat with the spammers. Many
spam detections techniques and systems are built to fight spammers. But the spammers are
continuously finding new ways to defeat the existing filters. This paper describes the existing
spam filters techniques and proposes a multi-level architecture for spam email detection. We
present the analysis of the architecture to prove the effectiveness of the architecture.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Detecting Spambot as an Antispam Technique for Web Internet BBSijsrd.com
Spam which is one of the most popular and also the most relevant topic that needs to be understood in the current scenario. Everyone whether it may be a small child or an old person are using emails everyday all around the world. The scenario which we are seeing is that almost no one is aware or in simple sentence they do not know what actually the spam is and what they will do in their systems. Spam in general means unsolicited or unwanted mails. Botnets are considered one of the main source of the spam. Botnet means the group of software's called bots and the function of these bots is to run on several compromised computers autonomously and automatically. The main objective of this paper is to detect such a bot or spambots for the Bulletin Board System (BBS). BBS is a computer that is running software that allows users to leave a message and access information of general interest. Originally BBSes were accessed only over a phone line using a modem, but nowadays some BBSes allowed access via a Telnet, packet switched network, or packet radio connection. The main methodology that we are going to focus is on Behavioural-based Spam Detection (BSD) method. Behavioral-based Spam Detector (BSD) combines several behaviours of the spam bots at different stages including the behaviour of spam preparation before the spam session when the spammers search for an open relay SMTP service to send e-mails through, and the behaviour of spammers while connecting to the mail server. Detecting the abnormal behaviour produced by the spam activities gives a high rate of suspicion on the existence of bots.
According to a recent Return Path study, in the second half of 2011, global inbox placement rates were at a record low - 76.5 percent. In other words, nearly a quarter of all commercial emails never arrived in the inbox. Yikes!
Here is the final part of a two-part webinar series on email deliverability presented by James Thompson of Infusionsoft, Tom Sather of Return Path, and DJ Waldow of Waldow Social.
Whitepaper: Email Marketing Tips - How a SPAM Filter Works (Q & A)Pinpointe On-Demand
Whitepaper - Questions & Answers about how an Enterprise SPAM Filter Works – This accompanies our Webinar that can be viewed on demand at:
http://www.pinpointe.com/resources
Overview of Existing Methods of Spam Mining and Potential Usefulness of Sende...IDES Editor
This paper gives an overview and analyzes the
different existing anti spamming techniques both content based,
non content based methods and a combination of the duo. It
also suggests that a small change in one of the parameters in
the fuzzy string matching method could be useful to produce
better results.
Spam Detection in Social Networks Using Correlation Based Feature Subset Sele...Editor IJCATR
Bayesian classifier works efficiently on some fields, and badly on some. The performance of Bayesian Classifier suffers in fields that involve correlated features. Feature selection is beneficial in reducing dimensionality, removing irrelevant data, incrementing learning accuracy, and improving result comprehensibility. But, the recent increase of dimensionality of data place a hard challenge to many existing feature selection methods with respect to efficiency and effectiveness. In this paper, Bayesian Classifier with Correlation Based Feature Selection is introduced which can key out relevant features as well as redundancy among relevant features without pair wise correlation analysis. The efficiency and effectiveness of our method is presented through broad.
Spam Detection in Social Networks Using Correlation Based Feature Subset Sele...Editor IJCATR
Bayesian classifier works efficiently on some fields, and badly on some. The performance of Bayesian Classifier suffers in fields that involve correlated features. Feature selection is beneficial in reducing dimensionality, removing irrelevant data, incrementing learning accuracy, and improving result comprehensibility. But, the recent increase of dimensionality of data place a hard challenge to many existing feature selection methods with respect to efficiency and effectiveness. In this paper, Bayesian Classifier with Correlation Based Feature Selection is introduced which can key out relevant features as well as redundancy among relevant features without pair wise correlation analysis. The efficiency and effectiveness of our method is presented through broad.
Spam Detection in Social Networks Using Correlation Based Feature Subset Sele...Editor IJCATR
Bayesian classifier works efficiently on some fields, and badly on some. The performance of Bayesian Classifier suffers in
fields that involve correlated features. Feature selection is beneficial in reducing dimensionality, removing irrelevant data,
incrementing learning accuracy, and improving result comprehensibility. But, the recent increase of dimensionality of data place a hard
challenge to many existing feature selection methods with respect to efficiency and effectiveness. In this paper, Bayesian Classifier
with Correlation Based Feature Selection is introduced which can key out relevant features as well as redundancy among relevant
features without pair wise correlation analysis. The efficiency and effectiveness of our method is presented through broad.
Spam Detection in Social Networks Using Correlation Based Feature Subset Sele...Editor IJCATR
Bayesian classifier works efficiently on some fields, and badly on some. The performance of Bayesian Classifier suffers in
fields that involve correlated features. Feature selection is beneficial in reducing dimensionality, removing irrelevant data,
incrementing learning accuracy, and improving result comprehensibility. But, the recent increase of dimensionality of data place a hard
challenge to many existing feature selection methods with respect to efficiency and effectiveness. In this paper, Bayesian Classifier
with Correlation Based Feature Selection is introduced which can key out relevant features as well as redundancy among relevant
features without pair wise correlation analysis. The efficiency and effectiveness of our method is presented through broad.
In this talk I will describe what's new in SpamAssassin 3.4.2, the ideas for further developments and some tips to improve the efficiency of your antispam solution.
How to Protect Your PC from Malware, Ransomware, VirusHabFg
Your info guide to beefing up your personal computer’s safety from malicious threats! Inside this eBook, you will discover the topics about protecting your computer’s system, fighting spam, spyware & adware, phishing & identity theft, computer viruses… and anti-viruses, protection you can afford and so much more!
Computer Security Guide to Pc Security
“Your Info Guide to Beefing Up Your Personal Computer’s Safety From Malicious Threats
As we do these things on a more regular basis, we open ourselves up to potential hackers, attackers and crackers. While some may be looking to phish your personal information and identity for resale, others simply just want to use your computer as a platform from which to attack other unknowing targets. Computer Security is very important
Your network environment is one of the keys to the success of your business. Most business people don’t fully believe this, even after long discussions and mounds of evidence to the contrary.
The Threats Posed by Portable Storage DevicesGFI Software
In a society where the use of portable storage devices is commonplace, there is a real risk to business. The threat that these devices pose to corporations and organizations is often ignored. This white paper examines the nature of the threat that devices such as iPods, USB sticks, flash drives and PDAs present and the counter-measures that organizations can adopt to eliminate them.
As the price of storage and bandwidth continues to drop fast, Cloud-based services are becoming more and more attractive to small and medium-sized businesses (SMBs) which are seeking to reduce licensing costs, avoid recruiting IT staff and focus fully on their core responsibility - growing the business.
Email is a critical communications tool. Email downtime means a loss of productivity, possible compliance and regulatory issues related to data loss, or even lost revenues. Minimizing email downtime is an increasingly important part of an organization’s messaging infrastructure and of its disaster prevention and recovery strategy.
Data is the lifeblood of every organization yet many either fail to backup their data or they are not doing so properly. Losing data can be catastrophic for a business. This white paper explains why backups are important and the challenges they face.
Data is the lifeblood of every organization and business. Data theft and data loss through negligence or hardware failure can cause irreparable damage if the data is not easily retrievable. That is why making regular backups of an organization’s data are so important.
Virtualization enables companies to build fully functional infrastructures that are easily recovered and maintained with minimal effort and reduced hardware costs. Through cloning and replication, IT industries can replicate and test clients' environments without breaking clients' business continuity.
Many small and medium sized businesses are still unaware of the threats that exist. This guide to security threats for SMBs outlines the most common threats and how they can be dealt with.
It is never possible to guarantee that a company is totally secure or that a breach will not occur, however implementing the latest tools and providing ongoing, end-user education will minimize those risks and allow companies to focus more on growing their business rather than repairing it.
Managing a large and growing PC estate is no simple matter, particularly if you are doing it manually. Keeping a close watch on a couple of PCs can be straightforward, and a diligent IT manager will manage to keep such machines fully patched and free of troublesome software. But what happens when your estate grows beyond one or two machines?
This technical white paper gives an overview of how GFI EventsManager works and discusses installation and deployment issues while enabling you to calculate the number of GFI EventsManager instances required on your network.
How to Perform Network-wide Security Event Log ManagementGFI Software
This white paper explains the need to monitor security event logs network-wide and how you can achieve this using GFI LanGuard S.E.L.M. (now GFI EventsManager). It is written by Randy Franklin Smith, author of the in-depth series on the Windows security log in Windows 2000 & .NET Magazine.
How to configure IBM iSeries event collection with Audit and GFI EventsManagerGFI Software
This document explains how to configure and use GFI EventsManager to collect IBM iSeries (formerly AS/400) audit events through Audit, a software tool developed by Raz-Lee.
Through the recent acquisition of Katharion™, GFI Software is able to offer a hosted email filtering solution in conjunction with GFI MailEssentials™ and GFI MailSecurity™.
How to tell if that pop-up window is offering you a rogue anti-malware productGFI Software
Rogue anti-malware products are a bane for every Internet user, especially those who have little or no technical knowhow. These are hundreds of scare ware ‘products’ on the Internet. This white paper examines this type of scam, explains how they work, what to look out for and how to prevent your computer from being infected.
Email is a critical communications tool. Email downtime means a loss of productivity, possible compliance and regulatory issues related to data loss or even lost revenues. Minimizing email downtime is an increasingly important part of an organization’s messaging infrastructure and its disaster prevention and recovery strategy.
The goal of GFI MailEssentials Complete Online is to improve business productivity by reducing the volume of junk mail. While MailEssentials Complete Online detects a vast majority of today’s junk email, we are continually working on new approaches to combat the increasing sophistication of spammers. Greylisting is one of the ways MailEssentials Complete Online reduces junk mail and saves you time.
CPU emulation has been used over the years for a multitude of objectives. It allows an application compiled for a specific target platform to be run on a host platform with a completely different or overlapping architecture set.
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.
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.
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.
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.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
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!
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
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
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.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
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/
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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.
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.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024
How to Keep Spam Off Your Network
1. GFI White Paper
How to keep spam
off your network
What features to look for in anti-spam technology
A buyer’s guide to anti-spam software,
this white paper highlights the key features
to look for in anti-spam solutions and why.
2. Contents
Introduction 3
The growth and cost of spam 3
Choosing the correct anti-spam software 3
Bayesian filtering technology 3
How GFI MailEssentials tackles spam 5
About GFI® 6
How to keep spam off your network 2
3. Introduction
This paper helps you identify key features needed to effectively deal with spam.
The growth and cost of spam
According to M86 Security Labs, spam volumes increased dramatically in 2009, to over 200 billion per day, while
the Radicati Group estimates that more than 80% of global email traffic will consist of spam mail by 2013.
This means that employees must dedicate part of their work time to dealing with spam, which results in
a decrease in productivity (and an increase in frustration!). Loss of productivity is the main cost of spam,
particularly as so many spam mails are received per day. There is also the cost of bandwidth wasted by
spam, as well as other storage and network infrastructure costs. Furthermore, with the influx of spam and its
deletion, an important message could accidentally be trashed along with the unsolicited mail in the rush to
clear one’s inbox of junk mail.
Ferris Research calculated that if an employee receives just five spam mails a day and spends 30 seconds
on each, he will waste 15 hours a year on junk mail - now multiply that by the hourly rate of each employee
in your company and you will have a very conservative idea of the cost of spam to your organization. Ferris
Research, a San Francisco-based IT market research firm, estimates that spam cost a total of $130 billion
worldwide in 2009.
It is essential to put a stop to spam to save time, money and bandwidth. One step towards achieving this is to
advise your network users to keep their email address private (no postings to message boards etc.). However,
apart from applying common sense, you also need to deploy an effective server level anti-spam tool.
Choosing the correct anti-spam software
Many software packages are available on the market to help you combat spam; but not all are incisive enough
in dealing with spam. A number of key features/issues that you should look for are discussed below.
Server-based or client-based?
Battling spam at client level is much more time-intensive than at the server level. It requires you to
deploy anti-spam software to all workstations on your network and involves frequently returning to those
workstations to update the anti-spam rules on each of them. It also means that your email infrastructure is
being taxed by spam, as your server message stores are filling up with useless emails waiting for deletion.
What’s more, it also involves time on the part of your users, who have to identify spam or update their rule
sets: This is the very thing you are trying to oppose in your bid to block spam!
In addition it does not have the information and resources that a server-based anti-spam software has - it
does not allow you to perform sending server checks, for example. To block spam effectively, you need to
have a server-based anti-spam product, because it offers these advantages:
»» Installation at the gateway eliminates the deployment and administration hassle involved with desktop-
based products
»» Far cheaper to license
»» Prevents spam from even entering your email infrastructure, meaning that your email stores are not full of
spam messages
»» Server-based anti-spam software has more information, and can do more to detect spam effectively.
Bayesian filtering technology
A few years ago, most anti-spam products simply used a list of keywords to identify spam. A good set of
keywords could catch plenty of spam. However, nowadays keyword-based spam catching generates too
many false positives and requires too much manual updating.
It’s now widely acknowledged by leading experts and publications that the best way to catch spam is using
How to keep spam off your network 3
4. a Bayesian filter. A Bayesian filter uses a mathematical approach based on known spam and ham (valid email).
This gives it a tremendous advantage over outdated spam technology that just checks for keywords or relies
on downloading signatures of known spam.
More information about Bayesian filtering can be found in the whitepaper ‘Why Bayesian filtering is the most
effective anti-spam technology’ at http://www.gfi.com/whitepapers/why-bayesian-filtering.pdf.
In short, Bayesian filtering has the following advantages:
»» Looks at the whole spam message, not just keywords or known spam signatures
»» Learns from your outbound mail (ham) and therefore reduces false positives greatly
»» Adapts itself over time by learning about new spam and new valid mail
»» Dataset is unique to company, making it impossible to bypass
»» Multilingual and international.
Tailored ham data file for Bayesian filter
It is very important that the Bayesian filter uses a dataset that is custom-created for your installation: the ham
data MUST be collected from your outbound mail (this way, the Bayesian filter is tailored to your company
through an initial training period). Some anti-spam software uses a general ham data file that ships with the
product. An example is the Outlook spam filter or the Exchange Server Internet Message filter. Although this
technology does not require the initial learning period, it has two major flaws:
»» The ham data file is publicly available and can thus be hacked by professional spammers and therefore
bypassed. If the ham data file is unique to your company, then hacking the ham data file is useless. For
example, there are hacks available to bypass the Microsoft Outlook 2003 spam filter.
»» Secondly the ham data file is a general one, and since it’s not tailored to your company it cannot be as
effective as a customized one. You will suffer from noticeably higher false positives. For example, a financial
institution might use the word “mortgage” many times over and would therefore get a lot of false positives
if using a general ham data file.
Reviewing spam is easy if it’s stored in a subfolder of a user’s mailbox
How to keep spam off your network 4
5. Automatically updated spam data file for Bayesian filter
The spam data file of the Bayesian filter must be constantly updated with the latest spam by the anti-spam
software. This will ensure that the Bayesian filter is aware of the latest spam tricks, resulting in a high spam
detection rate (note: this is achieved once the required initial two-week learning period is over). Choose an
anti-spam product that will collect this spam data for you and allow you to automatically download these
updates!
Spam handling to efficiently review spam
Inherent in anti-spam technology is the fact that there will be false positives, i.e., mail being flagged as spam
even though it is not actually spam. Therefore good anti-spam software should provide an easy way for users
to review mail marked as spam in a fast and efficient manner.
To save administrators time and hassle, anti-spam software had best include an option to direct mail identified
as spam to individual users’ junk mail folders. In addition, the software should sort the spam into different
folders depending on what identified it as spam. This quick access to mail marked as spam greatly helps
the user review his/her spam efficiently. Some anti-spam products require the user to login to a web-based
system and review their mail one by one – in practice; this is cumbersome for the user and will lead to the
feature being rarely used.
Flexible whitelists to reduce false positives
Anti-spam software must have an efficient way to automatically build extensive Whitelists. Whitelists should
identify all valid business partners, so that their mail is never flagged as spam. Good anti-spam software
should include the facility to automatically create and update these whitelists.
How GFI MailEssentials tackles spam
GFI MailEssentials’ approach to spam detection is based on the following key methods and technologies:
»» Tackles spam at the server level – GFI MailEssentials installs on your Exchange 2000/2003 Server, or in front
of your mail server (if using Exchange 5.5 or another mail server). It detects spam BEFORE it reaches your
mail server. This way, spam does not tax your email infrastructure, and any spam detection rule updates
need only be deployed on the GFI MailEssentials machine. Whitelists (domains/email addresses you
always wish to receive mail from) and blacklists (domains/email addresses from which you do not want to
receive mail) can be used at server level.
»» Greylisting – For each incoming message, three elements are examined in the early part of the SMTP
conversation: the IP address of the sender, the sender email address, and the recipient email address. If
this is the first time this email “relationship” has been identified, a temporary deferral message is issued to
the sending mail server, before the DATA portion of the email is sent. That relationship is then “greylisted.”
If or when within a finite period that same set of sender IP address, sender email address, and recipient
email address is seen again – as would be expected with any legitimate email – that combination is
“whitelisted”, so that that message, as well as any future message with that relationship, is passed through
without the temporary deferral. After a message passes through the greylisting, that message is processed
as usual, so that any spam message that is retried will still be subjected to the same message analysis
techniques as in cases where greylisting is not used.
»» Analyzes the content of the mail using Bayesian filtering and uses ham data specific to your company.
The spam data is automatically updated by downloading the latest spam data from the GFI™ website. For
more information on Bayesian filtering, check this white paper at
http://www.gfi.com/whitepapers/why-bayesian-filtering.pdf.
»» Reduces false positives through an automatic whitelist – GFI MailEssentials includes a patent-pending
automatic whitelist management tool. This means that all business partners are automatically added to
your whitelist – without any need for administration – and their mail will not be passed through the spam
filter, greatly reducing false positives.
How to keep spam off your network 5
6. »» Flexible spam handling – After a mail is found to be spam, it can be forwarded to a sub folder in the
user’s mailbox. If they find a valid email (for example, a newsletter which they wish to receive), users can
add the sender to the whitelist.
»» GFI MailEssentials includes keyword checking capabilities so that administrators can further tune their
anti-spam filters. For added protection, Bayesian filtering is supplemented by a number of other spam
detection technologies, including intelligent mail header analysis and by checking senders against
custom blacklists and public blacklists such as ORDB or SpamHaus.
About GFI
GFI Software provides web and mail security, archiving, backup and fax, networking and security software and
hosted IT solutions for small to medium-sized enterprises (SME) via an extensive global partner community.
GFI products are available either as on-premise solutions, in the cloud or as a hybrid of both delivery
models. With award-winning technology, a competitive pricing strategy, and a strong focus on the unique
requirements of SMEs, GFI satisfies the IT needs of organizations on a global scale. The company has offices
in the United States (North Carolina, California and Florida), UK (London and Dundee), Austria, Australia,
Malta, Hong Kong, Philippines and Romania, which together support hundreds of thousands of installations
worldwide. GFI is a channel-focused company with thousands of partners throughout the world and is also a
Microsoft Gold Certified Partner.
More information about GFI can be found at http://www.gfi.com.
How to keep spam off your network 6