This white paper explores the current state of cybercrime and what organizations can expect in 2013. Topics include malware development, hacktivism, DDoS attacks and online account takeover.
Adaptive Mobile Malware Detection Model Based on CBRijtsrd
Today, the mobile phones can maintain lots of sensitive information. With the increasing capabilities of such phones, more and more malicious software malware targeting these devices have emerged. However there are many mobile malware detection techniques, they used specified classifiers on selected features to get their best accuracy. Thus, an adaptive malware detection approach is required to effectively detect the concept drift of mobile malware and maintain the accuracy. An adaptive malware detection approach is proposed based on case based reasoning technique in this paper to handle the concept drift issue in mobile malware detection. To demonstrate the design decision of our approach, several experiments are conducted. Large features set with 1,065 features from 10 different categories are used in evaluation. The evaluation includes both accuracy and efficiency of the model. The experimental results prove that our approach achieves acceptable performance and accuracy for the malware detection. Kyaw Soe Moe | Mya Mya Thwe "Adaptive Mobile Malware Detection Model Based on CBR" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-6 , October 2019, URL: https://www.ijtsrd.com/papers/ijtsrd28088.pdf Paper URL: https://www.ijtsrd.com/computer-science/computer-security/28088/adaptive-mobile-malware-detection-model-based-on-cbr/kyaw-soe-moe
Symantec's Internet Security Threat Report for the Government SectorSymantec
Symantec has established the most comprehensive source of Internet threat data in the world through the Symantec Global Intelligence Network, which is made up of more than 41.5 million attack sensors and records thousands of events per second. This network monitors threat activity in over 157 countries and territories through a combination of Symantec products and services such as Symantec DeepSight Threat Management System, Symantec Managed Security Services, Norton consumer products, and other third-party data sources.
In addition, Symantec maintains one of the world’s most comprehensive vulnerability databases, currently consisting of more than 60,000 recorded vulnerabilities (spanning more than two decades) from over 19,000 vendors representing over 54,000 products.
Spam, phishing, and malware data is captured through a variety of sources including the Symantec Probe Network, a system of more than 5 million decoy accounts, Symantec.cloud, and a number of other Symantec security technologies. Skeptic, the Symantec.cloud proprietary heuristic technology, is able to detect new and sophisticated targeted threats before they reach customers’ networks. Over 8.4 billion email messages are processed each month and more than 1.7 billion web requests filtered each day across 14 data centers. Symantec also gathers phishing information through an extensive anti-fraud community of enterprises, security vendors, and more than 50 million consumers.
Symantec Trust Services provides 100 percent availability and processes over 6 billion Online Certificate Status Protocol (OCSP) look-ups per day, which are used for obtaining the revocation status of X.509 digital certificates around the world. These resources give Symantec analysts unparalleled sources of data with which to identify, analyze, and provide informed commentary on emerging trends in attacks, malicious code activity, phishing, and spam. The result is the annual Symantec Internet Security Threat Report, which gives enterprises, small businesses, and consumers essential information to secure their system effectively now and into the future.
This white paper explores the current state of cybercrime and what organizations can expect in 2013. Topics include malware development, hacktivism, DDoS attacks and online account takeover.
Adaptive Mobile Malware Detection Model Based on CBRijtsrd
Today, the mobile phones can maintain lots of sensitive information. With the increasing capabilities of such phones, more and more malicious software malware targeting these devices have emerged. However there are many mobile malware detection techniques, they used specified classifiers on selected features to get their best accuracy. Thus, an adaptive malware detection approach is required to effectively detect the concept drift of mobile malware and maintain the accuracy. An adaptive malware detection approach is proposed based on case based reasoning technique in this paper to handle the concept drift issue in mobile malware detection. To demonstrate the design decision of our approach, several experiments are conducted. Large features set with 1,065 features from 10 different categories are used in evaluation. The evaluation includes both accuracy and efficiency of the model. The experimental results prove that our approach achieves acceptable performance and accuracy for the malware detection. Kyaw Soe Moe | Mya Mya Thwe "Adaptive Mobile Malware Detection Model Based on CBR" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-6 , October 2019, URL: https://www.ijtsrd.com/papers/ijtsrd28088.pdf Paper URL: https://www.ijtsrd.com/computer-science/computer-security/28088/adaptive-mobile-malware-detection-model-based-on-cbr/kyaw-soe-moe
Symantec's Internet Security Threat Report for the Government SectorSymantec
Symantec has established the most comprehensive source of Internet threat data in the world through the Symantec Global Intelligence Network, which is made up of more than 41.5 million attack sensors and records thousands of events per second. This network monitors threat activity in over 157 countries and territories through a combination of Symantec products and services such as Symantec DeepSight Threat Management System, Symantec Managed Security Services, Norton consumer products, and other third-party data sources.
In addition, Symantec maintains one of the world’s most comprehensive vulnerability databases, currently consisting of more than 60,000 recorded vulnerabilities (spanning more than two decades) from over 19,000 vendors representing over 54,000 products.
Spam, phishing, and malware data is captured through a variety of sources including the Symantec Probe Network, a system of more than 5 million decoy accounts, Symantec.cloud, and a number of other Symantec security technologies. Skeptic, the Symantec.cloud proprietary heuristic technology, is able to detect new and sophisticated targeted threats before they reach customers’ networks. Over 8.4 billion email messages are processed each month and more than 1.7 billion web requests filtered each day across 14 data centers. Symantec also gathers phishing information through an extensive anti-fraud community of enterprises, security vendors, and more than 50 million consumers.
Symantec Trust Services provides 100 percent availability and processes over 6 billion Online Certificate Status Protocol (OCSP) look-ups per day, which are used for obtaining the revocation status of X.509 digital certificates around the world. These resources give Symantec analysts unparalleled sources of data with which to identify, analyze, and provide informed commentary on emerging trends in attacks, malicious code activity, phishing, and spam. The result is the annual Symantec Internet Security Threat Report, which gives enterprises, small businesses, and consumers essential information to secure their system effectively now and into the future.
MALWARE DETECTION TECHNIQUES FOR MOBILE DEVICESijmnct
Mobile devices have become very popular nowadays, due to is portability and high performance, a mobile
device became a must device for persons using information and communication technologies. In addition to
hardware rapid evolution, mobile applications are also increasing in their complexity and performance to
cover most the needs of their users. Both software and hardware design focused on increasing performance
and the working hours of a mobile device. Different mobile operating systems are being used today with
different platforms and different market shares. Like all information systems, mobile systems are prone to
malware attacks. Due to the personality feature of mobile devices, malware detection is very important and
is a must tool in each device to protect private data and mitigate attacks. In this paper, we will study and
analyze different malware detection techniques used for mobile operating systems. We will focus on the to
two competing mobile operating systems – Android and iOS. We will asset each technique summarizing its
advantages and disadvantages. The aim of the work is to establish a basis for developing a mobile malware
detection tool based on user profiling.
Malware detection techniques for mobile devicesijmnct
Mobile devices have become very popular nowadays, due to is portability and high performance, a mobile device became a must device for persons using information and communication technologies. In addition to hardware rapid evolution, mobile applications are also increasing in their complexity and performance to cover most the needs of their users. Both software and hardware design focused on increasing performance and the working hours of a mobile device. Different mobile operating systems are being used today with different platforms and different market shares. Like all information systems, mobile systems are prone to malware attacks. Due to
the personality feature of mobile devices, malware detection is very important and is a must tool in each device to protect private data and mitigate attacks. In
this paper, we will study and analyze different malware detection techniques used for mobile operating systems. We will focus on the to two competing mobile operating systems – Android and iOS. We will asset each technique summarizing its advantages and disadvantages. The aim of the work is to establish a basis for developing a mobile malware detection tool based on user profiling.
Internet Security Threat Report 2014 :: Volume 19 Appendices - The hardcore n...Symantec
Internet Security Threat Report 2014 :: Volume 19 :: Appendices
Hardcore data from Symantec’s Internet Security Threat Report.
Real number crunching on Threat Malicious Code, Fraud & Vulnerability trends including
Threat Activity Trends
• Malicious Activity by Source
• Malicious Web-Based Attack Prevalence
• Analysis of Malicious Web Activity by Attack Toolkits
• Analysis of Web-Based Spyware, Adware, and Potentially Unwanted Programs
• Analysis of Web Policy Risks from Inappropriate Use
• Analysis of Website Categories Exploited to Deliver Malicious Code
• Bot-Infected Computers
• Analysis of Mobile Threats
• Quantified Self – A Path to Self-Enlightenment or Just Another Security Nightmare?
• Data Breaches that could lead to Identity Theft
• Threat of the Insider
• Gaming Attacks
• The New Black Market
Malicious Code Trends
• Top Malicious Code Families
• Analysis of Malicious Code Activity by Geography, Industry Sector, and Company Size
• Propagation Mechanisms
• Email-Targeted Spear-Phishing Attacks Intelligence
Spam and Fraud Activity Trends
• Analysis of Spam Activity Trends
• Analysis of Spam Activity by Geography, Industry Sector, and Company Size
• Analysis of Spam Delivered by Botnets
• Significant Spam Tactics
• Analysis of Spam by Categorization
• Phishing Activity Trends
• Analysis of Phishing Activity by Geography, Industry Sector, and Company Size
• New Spam Trend: BGP Hijacking
Vulnerability Trends
• Total Number of Vulnerabilities
• Zero-Day Vulnerabilities
• Web Browser Vulnerabilities
• Web Browser Plug-in Vulnerabilities
• Web Attack Toolkits SCADA Vulnerabilities
How to reduce security risks to ensure user confidence in m-paymentsBMI Healthcare
Do you understand what the major security challenges are, such as vulnerabilities of devices, complex supply chain and fraudsters? Our whitepaper discusses key security approaches helping you to overcome them, thus improving customer confidence.
TrendLabs 2012 Annual Security Roundup: Evolved Threats in a “Post-PC” WorldInfinigate Group
Experts have been predicting the coming “post PC” era for a few
years. So the question has been, “when will we know that it’s
really here?” A simple answer is, we’ll know it’s really here when
cybercriminals move beyond the PC. By that measure, 2012 is truly
the year we entered the post-PC era as cybercriminals moved to
embrace Android, social media platforms, and even Macs with their
attacks.
ANDROID UNTRUSTED DETECTION WITH PERMISSION BASED SCORING ANALYSISijitcs
Android smart phone is one of the fast growing mobile phones and because of these it the one of the most preferred target of malware developer. Malware apps can penetrate the device and gain privileges in which it can perform malicious activities such reading user contact, misusing of private information such as sending SMS and can harm user by exploiting the users private data which is stored in the device. The study is about implementation of detecting untrusted on android applications, which would be the basis of all future development regarding malware detection.
The smartphone users worldwide are not aware of the permissions as the basis of all malicious activities that could possibly operate in an android system and may steal personal and private information. Android operating system is an open system in which users are allowed to install application from any unsafe sites. However permission mechanism of and android system is not enough to guarantee the invulnerability of the application that can harm the user. In this paper, the permission scoring-based analysis that will scrutinized the installed permission and allows user to increase the efficiency of Android permission to inform user about the risk of the installed Android application, in this paper, the framework that would classify the level of sensitivity of the permission access by the application. The framework uses a formula that will calculate the sensitivity level of the permission and determine if the installed application is untrusted or not. Our result show that, in a collection of 26 untrusted application, the framework is able to correct and determine the application's behavior consistently and efficiently.
Symantec's Internet Security Threat Report, Volume 18 revealed a 42 percent surge during 2012 in targeted attacks compared to the prior year. Designed to steal intellectual property, these targeted cyberespionage attacks are increasingly hitting the manufacturing sector as well as small businesses, which are the target of 31 percent of these attacks. Small businesses are attractive targets themselves and a way in to ultimately reach larger companies via “watering hole” techniques. In addition, consumers remain vulnerable to ransomware and mobile threats, particularly on the Android platform.
Welcome to the Threatsploit Report of covering some of the important cybersecurity events, incidents and exploits that occurred this month such as Application Security, Mobile App Security, Network Security, Website Security, API Security, Cloud Security, Host Level Security, Cyber Intelligence, Thick Client Security, Threat Vulnerability, Database Security, IOT Security, Wireless Security.
Designing Common Core State Standards Systemic Mathematics Curriculum: Part 1Janet Hale
This slideshare represents the visuals used in a Webinar I presented highlighting critical considerations for designing systemic curriculum based on the CCSS. To listen to the archived podcast, please visit my Web site: www.CurriculumMapping101.com.
MALWARE DETECTION TECHNIQUES FOR MOBILE DEVICESijmnct
Mobile devices have become very popular nowadays, due to is portability and high performance, a mobile
device became a must device for persons using information and communication technologies. In addition to
hardware rapid evolution, mobile applications are also increasing in their complexity and performance to
cover most the needs of their users. Both software and hardware design focused on increasing performance
and the working hours of a mobile device. Different mobile operating systems are being used today with
different platforms and different market shares. Like all information systems, mobile systems are prone to
malware attacks. Due to the personality feature of mobile devices, malware detection is very important and
is a must tool in each device to protect private data and mitigate attacks. In this paper, we will study and
analyze different malware detection techniques used for mobile operating systems. We will focus on the to
two competing mobile operating systems – Android and iOS. We will asset each technique summarizing its
advantages and disadvantages. The aim of the work is to establish a basis for developing a mobile malware
detection tool based on user profiling.
Malware detection techniques for mobile devicesijmnct
Mobile devices have become very popular nowadays, due to is portability and high performance, a mobile device became a must device for persons using information and communication technologies. In addition to hardware rapid evolution, mobile applications are also increasing in their complexity and performance to cover most the needs of their users. Both software and hardware design focused on increasing performance and the working hours of a mobile device. Different mobile operating systems are being used today with different platforms and different market shares. Like all information systems, mobile systems are prone to malware attacks. Due to
the personality feature of mobile devices, malware detection is very important and is a must tool in each device to protect private data and mitigate attacks. In
this paper, we will study and analyze different malware detection techniques used for mobile operating systems. We will focus on the to two competing mobile operating systems – Android and iOS. We will asset each technique summarizing its advantages and disadvantages. The aim of the work is to establish a basis for developing a mobile malware detection tool based on user profiling.
Internet Security Threat Report 2014 :: Volume 19 Appendices - The hardcore n...Symantec
Internet Security Threat Report 2014 :: Volume 19 :: Appendices
Hardcore data from Symantec’s Internet Security Threat Report.
Real number crunching on Threat Malicious Code, Fraud & Vulnerability trends including
Threat Activity Trends
• Malicious Activity by Source
• Malicious Web-Based Attack Prevalence
• Analysis of Malicious Web Activity by Attack Toolkits
• Analysis of Web-Based Spyware, Adware, and Potentially Unwanted Programs
• Analysis of Web Policy Risks from Inappropriate Use
• Analysis of Website Categories Exploited to Deliver Malicious Code
• Bot-Infected Computers
• Analysis of Mobile Threats
• Quantified Self – A Path to Self-Enlightenment or Just Another Security Nightmare?
• Data Breaches that could lead to Identity Theft
• Threat of the Insider
• Gaming Attacks
• The New Black Market
Malicious Code Trends
• Top Malicious Code Families
• Analysis of Malicious Code Activity by Geography, Industry Sector, and Company Size
• Propagation Mechanisms
• Email-Targeted Spear-Phishing Attacks Intelligence
Spam and Fraud Activity Trends
• Analysis of Spam Activity Trends
• Analysis of Spam Activity by Geography, Industry Sector, and Company Size
• Analysis of Spam Delivered by Botnets
• Significant Spam Tactics
• Analysis of Spam by Categorization
• Phishing Activity Trends
• Analysis of Phishing Activity by Geography, Industry Sector, and Company Size
• New Spam Trend: BGP Hijacking
Vulnerability Trends
• Total Number of Vulnerabilities
• Zero-Day Vulnerabilities
• Web Browser Vulnerabilities
• Web Browser Plug-in Vulnerabilities
• Web Attack Toolkits SCADA Vulnerabilities
How to reduce security risks to ensure user confidence in m-paymentsBMI Healthcare
Do you understand what the major security challenges are, such as vulnerabilities of devices, complex supply chain and fraudsters? Our whitepaper discusses key security approaches helping you to overcome them, thus improving customer confidence.
TrendLabs 2012 Annual Security Roundup: Evolved Threats in a “Post-PC” WorldInfinigate Group
Experts have been predicting the coming “post PC” era for a few
years. So the question has been, “when will we know that it’s
really here?” A simple answer is, we’ll know it’s really here when
cybercriminals move beyond the PC. By that measure, 2012 is truly
the year we entered the post-PC era as cybercriminals moved to
embrace Android, social media platforms, and even Macs with their
attacks.
ANDROID UNTRUSTED DETECTION WITH PERMISSION BASED SCORING ANALYSISijitcs
Android smart phone is one of the fast growing mobile phones and because of these it the one of the most preferred target of malware developer. Malware apps can penetrate the device and gain privileges in which it can perform malicious activities such reading user contact, misusing of private information such as sending SMS and can harm user by exploiting the users private data which is stored in the device. The study is about implementation of detecting untrusted on android applications, which would be the basis of all future development regarding malware detection.
The smartphone users worldwide are not aware of the permissions as the basis of all malicious activities that could possibly operate in an android system and may steal personal and private information. Android operating system is an open system in which users are allowed to install application from any unsafe sites. However permission mechanism of and android system is not enough to guarantee the invulnerability of the application that can harm the user. In this paper, the permission scoring-based analysis that will scrutinized the installed permission and allows user to increase the efficiency of Android permission to inform user about the risk of the installed Android application, in this paper, the framework that would classify the level of sensitivity of the permission access by the application. The framework uses a formula that will calculate the sensitivity level of the permission and determine if the installed application is untrusted or not. Our result show that, in a collection of 26 untrusted application, the framework is able to correct and determine the application's behavior consistently and efficiently.
Symantec's Internet Security Threat Report, Volume 18 revealed a 42 percent surge during 2012 in targeted attacks compared to the prior year. Designed to steal intellectual property, these targeted cyberespionage attacks are increasingly hitting the manufacturing sector as well as small businesses, which are the target of 31 percent of these attacks. Small businesses are attractive targets themselves and a way in to ultimately reach larger companies via “watering hole” techniques. In addition, consumers remain vulnerable to ransomware and mobile threats, particularly on the Android platform.
Welcome to the Threatsploit Report of covering some of the important cybersecurity events, incidents and exploits that occurred this month such as Application Security, Mobile App Security, Network Security, Website Security, API Security, Cloud Security, Host Level Security, Cyber Intelligence, Thick Client Security, Threat Vulnerability, Database Security, IOT Security, Wireless Security.
Designing Common Core State Standards Systemic Mathematics Curriculum: Part 1Janet Hale
This slideshare represents the visuals used in a Webinar I presented highlighting critical considerations for designing systemic curriculum based on the CCSS. To listen to the archived podcast, please visit my Web site: www.CurriculumMapping101.com.
Our Third Annual Mobile Threats Report takes a look at current trends in malware and shares ways to protect your mobile network. Read the report here: http://juni.pr/11FUxk3
Mobile Application Security Testing, Testing for Mobility App | www.idexcel.comIdexcel Technologies
Application development has come a long way in last two decades, but it is puzzling to see that despite major security breaches, security testing takes a back seat as compared to other forms of quality testing measures such as usability or functional testing.
Review on mobile threats and detection techniquesijdpsjournal
Since last-decade, smart-phones have gained widespread usage. Mobile devices store personal details
such as contacts and text messages. Due to this extensive growth, smart-phones are attracted towards
cyber-criminals. In this research work, we have done a systematic review of the terms related to malware
detection algorithms and have also summarized behavioral description of some known mobile malwares
in tabular form. After careful solicitation of all the possible methods and algorithms for detection of
mobile-based malwares, we give some recommendations for designing future malware detection algorithm
by considering computational complexity and detection ration of mobile malwares.
Hi :) Aeturnist#2 Issued. My article on “Mobile Security” is published in this issue :) This article covered brief history of mobile security, Vulnerability Analysis, Why Malware Attacks? Why on Android? How to Protect Your Device and Importance of Mobile Data Security. Hope you guys enjoy reading… :)
A Systematic Review of Android Malware Detection TechniquesCSCJournals
Malware detection is a significant key to Android application security. Malwares threat to Android users is increasing day by day. End users need security because they use mobile device to communicate information. Therefore, developing malware detection and control technology should be a priority. This research has extensively explored various state of the art techniques and mechanisms to detect malwares in Android applications by systematic literature review. It categorized the current researches into static, dynamic and hybrid approaches. This research work identifies the limitation and strength current research work. According to the restrictions of current malware detection technologies, it can conclude that detection technologies that use statistical analysis consume more time, energy and resources as compare to machine learning techniques. The results obtained from this research work reinforce the assertion that detection approaches designed for Android malware do not produce 100% efficient detection accuracy.
Now in a day mobile internet user increasing. Along with this mobile banking, online purchase increasing also. So secure your mobile with bitdefender android security.
company names mentioned herein are for identification and educational purposes only and are the property of, and may be trademarks of, their respective owners.
You may be surprised that nearly 2.2 billion smartphones and tablets will be sold to end users in 2014. With the number of smartphones and tablets on the increase and adoption of enterprise mobile computing on the rise, security breaches, malware attacks and exploitation of application vulnerability on mobile devices are maturing. By 2017, Gartner predicts that the focus of endpoint breaches will shift to tablets and smartphones. That indicates how important the subject of Mobile Security is and going to be in the future.
Taxonomy mobile malware threats and detection techniquescsandit
Since last-decade, smart-phones have gained widespr
ead usage. Mobile devices store personal
details such as contacts and text messages. Due to
this extensive growth, smart-phones are
attracted towards cyber-criminals. In this research
work, we have done a systematic review of
the terms related to malware detection algorithms
and have also summarized behavioral
description of some known mobile malwares in tabula
r form. After careful solicitation of all the
possible methods and algorithms for detection of m
obile-based malwares, we give some
recommendations for designing future malware detect
ion algorithm by considering
computational complexity and detection ration of m
obile malwares.
In today’s interconnected world, few things terrify CEOs and CTOs more than electronic security (well, a breach of that security, anyway). Most of our records, personal information, corporate information, and sensitive data exist online or on Internet-connected hardware. Mobile, with all it’s advantages for enterprises, actually poses one of the largest emerging threats to those enterprises’ data security. As such, we wanted to share some statistics that demonstrate the severity of the problem and highlight the importance of mobile security for your business.
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!
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
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.
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.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
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/
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
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.
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.
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.
