CYBERSPACE
CYBER POWER
INTERNET
CYBER-ATTACK
INDIA AND PAKISTAN CYBER ATTACKS
TYPES OF CYBER CRIME
Hypotheses in the Research
Literature on the Influence of Mass Media on Criminal Behavior
Technology-Related Risk Factors for Criminal Behavior
COPYCAT CRIME:
CYBER SECURITY
SAFETY TIPS FOR CYBER CRIME
CYBERSPACE
CYBER POWER
INTERNET
CYBER-ATTACK
INDIA AND PAKISTAN CYBER ATTACKS
TYPES OF CYBER CRIME
Hypotheses in the Research
Literature on the Influence of Mass Media on Criminal Behavior
Technology-Related Risk Factors for Criminal Behavior
COPYCAT CRIME:
CYBER SECURITY
SAFETY TIPS FOR CYBER CRIME
The data design action translates data objects into data structures at the software component level.
Data Design is the first and most important design activity. Here the main issue is to select the appropriate data structure i.e. the data design focuses on the definition of data structures.
Data design is a process of gradual refinement, from the coarse "What data does your application require?" to the precise data structures and processes that provide it. With a good data design, your application's data access is fast, easily maintained, and can gracefully accept future data enhancements.
One of the first uses of ensemble methods was the bagging technique. This technique was developed to overcome instability in decision trees. In fact, an example of the bagging technique is the random forest algorithm. The random forest is an ensemble of multiple decision trees. Decision trees tend to be prone to overfitting. Because of this, a single decision tree can’t be relied on for making predictions. To improve the prediction accuracy of decision trees, bagging is employed to form a random forest. The resulting random forest has a lower variance compared to the individual trees.
The success of bagging led to the development of other ensemble techniques such as boosting, stacking, and many others. Today, these developments are an important part of machine learning.
The many real-life machine learning applications show these ensemble methods’ importance. These applications include many critical systems. These include decision-making systems, spam detection, autonomous vehicles, medical diagnosis, and many others. These systems are crucial because they have the ability to impact human lives and business revenues. Therefore ensuring the accuracy of machine learning models is paramount. An inaccurate model can lead to disastrous consequences for many businesses or organizations. At worst, they can lead to the endangerment of human lives.
A review of machine learning based anomaly detectionMohamed Elfadly
Anomaly detection is an important problem that has been researched within diverse research areas and application domains. Anomaly detection refers to the problem of finding patterns in data that do not conform to expected behavior. These nonconforming patterns are often referred to as anomalies, outliers, discordant observations, exceptions, aberrations, surprises, peculiarities, or contaminants in different application domains.
Supervised vs Unsupervised vs Reinforcement Learning | EdurekaEdureka!
YouTube: https://youtu.be/xtOg44r6dsE
(** Python Data Science Training: https://www.edureka.co/python **)
In this PPT on Supervised vs Unsupervised vs Reinforcement learning, we’ll be discussing the types of machine learning and we’ll differentiate them based on a few key parameters. The following topics are covered in this session:
1. Introduction to Machine Learning
2. Types of Machine Learning
3. Supervised vs Unsupervised vs Reinforcement learning
4. Use Cases
Python Training Playlist: https://goo.gl/Na1p9G
Python Blog Series: https://bit.ly/2RVzcVE
Follow us to never miss an update in the future.
YouTube: https://www.youtube.com/user/edurekaIN
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Using Machine Learning in Networks Intrusion Detection SystemsOmar Shaya
The internet and different computing devices from desktop computers to smartphones have raised many security and privacy concerns, and the need to automate systems that detect attacks on these networks has emerged in order to be able to protect these networks with scale. And while traditional intrusion detection methods may be able to detect previously known attacks, the issue of dealing with new unknown attacks arises and that brings machine learning as a strong candidate to solve these challenges.
In this report, we investigate the use of machine learning in detecting network attacks, intrusion detection, by looking at work that has been done in this field. Particularly we look at the work that has been done by Pasocal et al.
User Interfaces can be modeled in a technology agnostic way using Conceptual User Interface Patterns. This talk shows how to take advantage of this approach and shows how to generate code to different devices and technologies.
Seminar Presentation | Network Intrusion Detection using Supervised Machine L...Jowin John Chemban
By:
Jowin John Chemban (jowinchemban@gmail.com)
HGW16CS022 (2016-2020 Batch)
S7 B.Tech Computer Science Engineering
Holy Grace Academy of Engineering, Mala
Date : September 2019
Running Head ANNOTATED BIBLIOGRAPHYANNOTATED BIBLIOGRAPHY .docxhealdkathaleen
Running Head: ANNOTATED BIBLIOGRAPHY
ANNOTATED BIBLIOGRAPHY 6
Annotated Bibliography on Emerging Cyber Threats
[Name of Institution]
[Name of Writer]
Annotated Bibliography on Emerging Cyber Threats
Source#1
Reference: Kettani, H., & Wainwright, P. (2019, March). On the Top Threats to Cyber Systems. In 2019 IEEE 2nd International Conference on Information and Computer Technologies (ICICT) (pp. 175-179). IEEE.
Summary: This article reveals the threats to the cyber systems even some of them are not known to the common people. The article defines that the latest technology has advanced the cyber systems and these advancements are attractive and beneficial in comparison to the previous systems. However, due to this sophisticated and attractive advancement the individuals, societies, and nations had become dependent on the cyber systems. These systems result in the higher gain and ease of handling since people had relying on the cyber systems. Moreover, the author argues that for the adoption of the proper defense and mitigations to the threats it is necessary to understand cyber threats. The top threats with a brief discussion of threat agents and attack vectors along with the countermeasures are mentioned so that the readers can find knowledge in this regard.
Relevance: This article is of paramount importance because it defines the importance of the topic of research. As the aim of the research is to expose the emerging cyber-attacks and the author of the article “On the Top Threats to Cyber Systems” reveals the importance of the cyber systems which is important for understanding the dependence over the cyber systems. In addition to this, the article is found worth reading because it reveals the emerging cybercrimes and ways of protection too. The study is found relevant because it reveals that cyber systems are important nowadays because they are used in the business systems, control systems, and for accessing the control systems. In other words, the articles provide an overview of the emerging threats and latest trends in the cyber systems.
Source#2
Reference: Parn, E. A., & Edwards, D. (2019). Cyber threats confronting the digital built environment. Engineering, Construction and Architectural Management.
Summary: This article determines the cyber systems attack in the sector of the digital built environment. The study gives the idea of emerging crimes that are made to threat the digital and physical assets that are used to form the digital economies. These threats are often made to affect the critical infrastructure of the smart cities. These smart cities are comprised of the cyber systems which also increase the national wealth, preserve health, and provide safety and welfare to the nation. In this regard, it is important to protect the cyber systems from the critical and emerging threats. Additionally, the article reveals the safe an ...
The data design action translates data objects into data structures at the software component level.
Data Design is the first and most important design activity. Here the main issue is to select the appropriate data structure i.e. the data design focuses on the definition of data structures.
Data design is a process of gradual refinement, from the coarse "What data does your application require?" to the precise data structures and processes that provide it. With a good data design, your application's data access is fast, easily maintained, and can gracefully accept future data enhancements.
One of the first uses of ensemble methods was the bagging technique. This technique was developed to overcome instability in decision trees. In fact, an example of the bagging technique is the random forest algorithm. The random forest is an ensemble of multiple decision trees. Decision trees tend to be prone to overfitting. Because of this, a single decision tree can’t be relied on for making predictions. To improve the prediction accuracy of decision trees, bagging is employed to form a random forest. The resulting random forest has a lower variance compared to the individual trees.
The success of bagging led to the development of other ensemble techniques such as boosting, stacking, and many others. Today, these developments are an important part of machine learning.
The many real-life machine learning applications show these ensemble methods’ importance. These applications include many critical systems. These include decision-making systems, spam detection, autonomous vehicles, medical diagnosis, and many others. These systems are crucial because they have the ability to impact human lives and business revenues. Therefore ensuring the accuracy of machine learning models is paramount. An inaccurate model can lead to disastrous consequences for many businesses or organizations. At worst, they can lead to the endangerment of human lives.
A review of machine learning based anomaly detectionMohamed Elfadly
Anomaly detection is an important problem that has been researched within diverse research areas and application domains. Anomaly detection refers to the problem of finding patterns in data that do not conform to expected behavior. These nonconforming patterns are often referred to as anomalies, outliers, discordant observations, exceptions, aberrations, surprises, peculiarities, or contaminants in different application domains.
Supervised vs Unsupervised vs Reinforcement Learning | EdurekaEdureka!
YouTube: https://youtu.be/xtOg44r6dsE
(** Python Data Science Training: https://www.edureka.co/python **)
In this PPT on Supervised vs Unsupervised vs Reinforcement learning, we’ll be discussing the types of machine learning and we’ll differentiate them based on a few key parameters. The following topics are covered in this session:
1. Introduction to Machine Learning
2. Types of Machine Learning
3. Supervised vs Unsupervised vs Reinforcement learning
4. Use Cases
Python Training Playlist: https://goo.gl/Na1p9G
Python Blog Series: https://bit.ly/2RVzcVE
Follow us to never miss an update in the future.
YouTube: https://www.youtube.com/user/edurekaIN
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Using Machine Learning in Networks Intrusion Detection SystemsOmar Shaya
The internet and different computing devices from desktop computers to smartphones have raised many security and privacy concerns, and the need to automate systems that detect attacks on these networks has emerged in order to be able to protect these networks with scale. And while traditional intrusion detection methods may be able to detect previously known attacks, the issue of dealing with new unknown attacks arises and that brings machine learning as a strong candidate to solve these challenges.
In this report, we investigate the use of machine learning in detecting network attacks, intrusion detection, by looking at work that has been done in this field. Particularly we look at the work that has been done by Pasocal et al.
User Interfaces can be modeled in a technology agnostic way using Conceptual User Interface Patterns. This talk shows how to take advantage of this approach and shows how to generate code to different devices and technologies.
Seminar Presentation | Network Intrusion Detection using Supervised Machine L...Jowin John Chemban
By:
Jowin John Chemban (jowinchemban@gmail.com)
HGW16CS022 (2016-2020 Batch)
S7 B.Tech Computer Science Engineering
Holy Grace Academy of Engineering, Mala
Date : September 2019
Running Head ANNOTATED BIBLIOGRAPHYANNOTATED BIBLIOGRAPHY .docxhealdkathaleen
Running Head: ANNOTATED BIBLIOGRAPHY
ANNOTATED BIBLIOGRAPHY 6
Annotated Bibliography on Emerging Cyber Threats
[Name of Institution]
[Name of Writer]
Annotated Bibliography on Emerging Cyber Threats
Source#1
Reference: Kettani, H., & Wainwright, P. (2019, March). On the Top Threats to Cyber Systems. In 2019 IEEE 2nd International Conference on Information and Computer Technologies (ICICT) (pp. 175-179). IEEE.
Summary: This article reveals the threats to the cyber systems even some of them are not known to the common people. The article defines that the latest technology has advanced the cyber systems and these advancements are attractive and beneficial in comparison to the previous systems. However, due to this sophisticated and attractive advancement the individuals, societies, and nations had become dependent on the cyber systems. These systems result in the higher gain and ease of handling since people had relying on the cyber systems. Moreover, the author argues that for the adoption of the proper defense and mitigations to the threats it is necessary to understand cyber threats. The top threats with a brief discussion of threat agents and attack vectors along with the countermeasures are mentioned so that the readers can find knowledge in this regard.
Relevance: This article is of paramount importance because it defines the importance of the topic of research. As the aim of the research is to expose the emerging cyber-attacks and the author of the article “On the Top Threats to Cyber Systems” reveals the importance of the cyber systems which is important for understanding the dependence over the cyber systems. In addition to this, the article is found worth reading because it reveals the emerging cybercrimes and ways of protection too. The study is found relevant because it reveals that cyber systems are important nowadays because they are used in the business systems, control systems, and for accessing the control systems. In other words, the articles provide an overview of the emerging threats and latest trends in the cyber systems.
Source#2
Reference: Parn, E. A., & Edwards, D. (2019). Cyber threats confronting the digital built environment. Engineering, Construction and Architectural Management.
Summary: This article determines the cyber systems attack in the sector of the digital built environment. The study gives the idea of emerging crimes that are made to threat the digital and physical assets that are used to form the digital economies. These threats are often made to affect the critical infrastructure of the smart cities. These smart cities are comprised of the cyber systems which also increase the national wealth, preserve health, and provide safety and welfare to the nation. In this regard, it is important to protect the cyber systems from the critical and emerging threats. Additionally, the article reveals the safe an ...
STAYING SAFE AND SECURED ON TODAY AND TOMORROW’S AFRICA CYBERSPACE WORKSHOP 2017Maurice Dawson
This is the most essential programme of the year around the dangers of cybercrime and how to manage safety within the most indispensable digital sphere & technology system. The reason is that, “Looking beyond Internet of Things (IoT) to Internet of Everything there is a potential market that is approximately $14.4 trillion and over 99% of physical devices are still unconnected.” ~Mo Dawson. Your participation give you golden access to a transcending Cyberspace picture, enhanced solution oriented capabilities as an ICT expert or practitioner, Telecommunications Corporates & Companies
Personnel, Aviation ICT Officials, Other Transportation controls network hubs, Business dealer in Cyberspace services provider or supplier, Academicians and researchers, Government Departments & Public service ICT systems Officials & staff, Students, general ICT security involvement and on top of that your enhanced multidimensional scope & prosperity out of this untapped gold mine is guaranteed.
Security techniques for intelligent spam sensing and anomaly detection in onl...IJECEIAES
The recent advances in communication and mobile technologies made it easier to access and share information for most people worldwide. Among the most powerful information spreading platforms are the Online Social Networks (OSN)s that allow Internet-connected users to share different information such as instant messages, tweets, photos, and videos. Adding to that many governmental and private institutions use the OSNs such as Twitter for official announcements. Consequently, there is a tremendous need to provide the required level of security for OSN users. However, there are many challenges due to the different protocols and variety of mobile apps used to access OSNs. Therefore, traditional security techniques fail to provide the needed security and privacy, and more intelligence is required. Computational intelligence adds high-speed computation, fault tolerance, adaptability, and error resilience when used to ensure security in OSN apps. This research provides a comprehensive related work survey and investigates the application of artificial neural networks for intrusion detection systems and spam filtering for OSNs. In addition, we use the concept of social graphs and weighted cliques in the detection of suspicious behavior of certain online groups and to prevent further planned actions such as cyber/terrorist attacks before they happen.
A Study of Cyber Security Threats, Challenges in Different Fields and its Pro...ssuser793b4e
This paper reviewed the implications, challenges and the effects of cybercrimes and cybersecurity in the society. It fully defined cybersecurity based on governmental and national view, industrial view and academic view. From this it was concluded that cyber security and cyber-attack is best defined and prevented based on the field of research. This paper review 27 articles on cyber security and cybercrimes and it showed that cyber security is a complex task that relies on domain knowledge and requires cognitive abilities to determine possible threats from large amounts of network data. This study investigates how knowledge in network operations and information security influence the detection of intrusions in a simple network. This research paper also reviewed different strategies used by different researchers to prevent cyber-attack in different areas of work and also exposed the most recent used cyber security attacks, preventions, future threats and prospective ways to avoid cyber-attacks
Network security is one of the foremost anxieties of the modern time. Over
the previous years, numerous studies have been accompanied on the
intrusion detection system. However, network security is one of the foremost
apprehensions of the modern era this is due to the speedy development and
substantial usage of altered technologies over the past period. The
vulnerabilities of these technologies security have become a main dispute
intrusion detection system is used to classify unapproved access and unusual
attacks over the secured networks. For the implementation of intrusion
detection system different approaches are used machine learning technique
is one of them. In order to comprehend the present station of application of
machine learning techniques for solving the intrusion discovery anomalies in
internet of thing (IoT) based big data this review paper conducted. Total 55
papers are summarized from 2010 and 2021 which were centering on the
manner of the single, hybrid and collaborative classifier design. This review
paper also includes some of the basic information like IoT, big data, and
machine learning approaches are discussed.
Your Digital Assistant.
Making complex approach simple. Straightforward process saves time. No more waiting to connect with people that matter to you. Safety first is not a cliché - Securely protect information in cloud storage to prevent any third party from accessing data.
Would you rather make your visitors feel burdened by making them wait? Or choose VizMan for a stress-free experience? VizMan is an automated visitor management system that works for any industries not limited to factories, societies, government institutes, and warehouses. A new age contactless way of logging information of visitors, employees, packages, and vehicles. VizMan is a digital logbook so it deters unnecessary use of paper or space since there is no requirement of bundles of registers that is left to collect dust in a corner of a room. Visitor’s essential details, helps in scheduling meetings for visitors and employees, and assists in supervising the attendance of the employees. With VizMan, visitors don’t need to wait for hours in long queues. VizMan handles visitors with the value they deserve because we know time is important to you.
Feasible Features
One Subscription, Four Modules – Admin, Employee, Receptionist, and Gatekeeper ensures confidentiality and prevents data from being manipulated
User Friendly – can be easily used on Android, iOS, and Web Interface
Multiple Accessibility – Log in through any device from any place at any time
One app for all industries – a Visitor Management System that works for any organisation.
Stress-free Sign-up
Visitor is registered and checked-in by the Receptionist
Host gets a notification, where they opt to Approve the meeting
Host notifies the Receptionist of the end of the meeting
Visitor is checked-out by the Receptionist
Host enters notes and remarks of the meeting
Customizable Components
Scheduling Meetings – Host can invite visitors for meetings and also approve, reject and reschedule meetings
Single/Bulk invites – Invitations can be sent individually to a visitor or collectively to many visitors
VIP Visitors – Additional security of data for VIP visitors to avoid misuse of information
Courier Management – Keeps a check on deliveries like commodities being delivered in and out of establishments
Alerts & Notifications – Get notified on SMS, email, and application
Parking Management – Manage availability of parking space
Individual log-in – Every user has their own log-in id
Visitor/Meeting Analytics – Evaluate notes and remarks of the meeting stored in the system
Visitor Management System is a secure and user friendly database manager that records, filters, tracks the visitors to your organization.
"Secure Your Premises with VizMan (VMS) – Get It Now"
Prosigns: Transforming Business with Tailored Technology SolutionsProsigns
Unlocking Business Potential: Tailored Technology Solutions by Prosigns
Discover how Prosigns, a leading technology solutions provider, partners with businesses to drive innovation and success. Our presentation showcases our comprehensive range of services, including custom software development, web and mobile app development, AI & ML solutions, blockchain integration, DevOps services, and Microsoft Dynamics 365 support.
Custom Software Development: Prosigns specializes in creating bespoke software solutions that cater to your unique business needs. Our team of experts works closely with you to understand your requirements and deliver tailor-made software that enhances efficiency and drives growth.
Web and Mobile App Development: From responsive websites to intuitive mobile applications, Prosigns develops cutting-edge solutions that engage users and deliver seamless experiences across devices.
AI & ML Solutions: Harnessing the power of Artificial Intelligence and Machine Learning, Prosigns provides smart solutions that automate processes, provide valuable insights, and drive informed decision-making.
Blockchain Integration: Prosigns offers comprehensive blockchain solutions, including development, integration, and consulting services, enabling businesses to leverage blockchain technology for enhanced security, transparency, and efficiency.
DevOps Services: Prosigns' DevOps services streamline development and operations processes, ensuring faster and more reliable software delivery through automation and continuous integration.
Microsoft Dynamics 365 Support: Prosigns provides comprehensive support and maintenance services for Microsoft Dynamics 365, ensuring your system is always up-to-date, secure, and running smoothly.
Learn how our collaborative approach and dedication to excellence help businesses achieve their goals and stay ahead in today's digital landscape. From concept to deployment, Prosigns is your trusted partner for transforming ideas into reality and unlocking the full potential of your business.
Join us on a journey of innovation and growth. Let's partner for success with Prosigns.
Software Engineering, Software Consulting, Tech Lead.
Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Security,
Spring Transaction, Spring MVC,
Log4j, REST/SOAP WEB-SERVICES.
Into the Box Keynote Day 2: Unveiling amazing updates and announcements for modern CFML developers! Get ready for exciting releases and updates on Ortus tools and products. Stay tuned for cutting-edge innovations designed to boost your productivity.
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I ...Juraj Vysvader
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I didn't get rich from it but it did have 63K downloads (powered possible tens of thousands of websites).
Field Employee Tracking System| MiTrack App| Best Employee Tracking Solution|...informapgpstrackings
Keep tabs on your field staff effortlessly with Informap Technology Centre LLC. Real-time tracking, task assignment, and smart features for efficient management. Request a live demo today!
For more details, visit us : https://informapuae.com/field-staff-tracking/
Unleash Unlimited Potential with One-Time Purchase
BoxLang is more than just a language; it's a community. By choosing a Visionary License, you're not just investing in your success, you're actively contributing to the ongoing development and support of BoxLang.
Understanding Globus Data Transfers with NetSageGlobus
NetSage is an open privacy-aware network measurement, analysis, and visualization service designed to help end-users visualize and reason about large data transfers. NetSage traditionally has used a combination of passive measurements, including SNMP and flow data, as well as active measurements, mainly perfSONAR, to provide longitudinal network performance data visualization. It has been deployed by dozens of networks world wide, and is supported domestically by the Engagement and Performance Operations Center (EPOC), NSF #2328479. We have recently expanded the NetSage data sources to include logs for Globus data transfers, following the same privacy-preserving approach as for Flow data. Using the logs for the Texas Advanced Computing Center (TACC) as an example, this talk will walk through several different example use cases that NetSage can answer, including: Who is using Globus to share data with my institution, and what kind of performance are they able to achieve? How many transfers has Globus supported for us? Which sites are we sharing the most data with, and how is that changing over time? How is my site using Globus to move data internally, and what kind of performance do we see for those transfers? What percentage of data transfers at my institution used Globus, and how did the overall data transfer performance compare to the Globus users?
Check out the webinar slides to learn more about how XfilesPro transforms Salesforce document management by leveraging its world-class applications. For more details, please connect with sales@xfilespro.com
If you want to watch the on-demand webinar, please click here: https://www.xfilespro.com/webinars/salesforce-document-management-2-0-smarter-faster-better/
Designing for Privacy in Amazon Web ServicesKrzysztofKkol1
Data privacy is one of the most critical issues that businesses face. This presentation shares insights on the principles and best practices for ensuring the resilience and security of your workload.
Drawing on a real-life project from the HR industry, the various challenges will be demonstrated: data protection, self-healing, business continuity, security, and transparency of data processing. This systematized approach allowed to create a secure AWS cloud infrastructure that not only met strict compliance rules but also exceeded the client's expectations.
Globus Compute wth IRI Workflows - GlobusWorld 2024Globus
As part of the DOE Integrated Research Infrastructure (IRI) program, NERSC at Lawrence Berkeley National Lab and ALCF at Argonne National Lab are working closely with General Atomics on accelerating the computing requirements of the DIII-D experiment. As part of the work the team is investigating ways to speedup the time to solution for many different parts of the DIII-D workflow including how they run jobs on HPC systems. One of these routes is looking at Globus Compute as a way to replace the current method for managing tasks and we describe a brief proof of concept showing how Globus Compute could help to schedule jobs and be a tool to connect compute at different facilities.
How Does XfilesPro Ensure Security While Sharing Documents in Salesforce?XfilesPro
Worried about document security while sharing them in Salesforce? Fret no more! Here are the top-notch security standards XfilesPro upholds to ensure strong security for your Salesforce documents while sharing with internal or external people.
To learn more, read the blog: https://www.xfilespro.com/how-does-xfilespro-make-document-sharing-secure-and-seamless-in-salesforce/
Gamify Your Mind; The Secret Sauce to Delivering Success, Continuously Improv...Shahin Sheidaei
Games are powerful teaching tools, fostering hands-on engagement and fun. But they require careful consideration to succeed. Join me to explore factors in running and selecting games, ensuring they serve as effective teaching tools. Learn to maintain focus on learning objectives while playing, and how to measure the ROI of gaming in education. Discover strategies for pitching gaming to leadership. This session offers insights, tips, and examples for coaches, team leads, and enterprise leaders seeking to teach from simple to complex concepts.
Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...Globus
The Earth System Grid Federation (ESGF) is a global network of data servers that archives and distributes the planet’s largest collection of Earth system model output for thousands of climate and environmental scientists worldwide. Many of these petabyte-scale data archives are located in proximity to large high-performance computing (HPC) or cloud computing resources, but the primary workflow for data users consists of transferring data, and applying computations on a different system. As a part of the ESGF 2.0 US project (funded by the United States Department of Energy Office of Science), we developed pre-defined data workflows, which can be run on-demand, capable of applying many data reduction and data analysis to the large ESGF data archives, transferring only the resultant analysis (ex. visualizations, smaller data files). In this talk, we will showcase a few of these workflows, highlighting how Globus Flows can be used for petabyte-scale climate analysis.
OpenFOAM solver for Helmholtz equation, helmholtzFoam / helmholtzBubbleFoamtakuyayamamoto1800
In this slide, we show the simulation example and the way to compile this solver.
In this solver, the Helmholtz equation can be solved by helmholtzFoam. Also, the Helmholtz equation with uniformly dispersed bubbles can be simulated by helmholtzBubbleFoam.
Paketo Buildpacks : la meilleure façon de construire des images OCI? DevopsDa...Anthony Dahanne
Les Buildpacks existent depuis plus de 10 ans ! D’abord, ils étaient utilisés pour détecter et construire une application avant de la déployer sur certains PaaS. Ensuite, nous avons pu créer des images Docker (OCI) avec leur dernière génération, les Cloud Native Buildpacks (CNCF en incubation). Sont-ils une bonne alternative au Dockerfile ? Que sont les buildpacks Paketo ? Quelles communautés les soutiennent et comment ?
Venez le découvrir lors de cette session ignite
Strategies for Successful Data Migration Tools.pptxvarshanayak241
Data migration is a complex but essential task for organizations aiming to modernize their IT infrastructure and leverage new technologies. By understanding common challenges and implementing these strategies, businesses can achieve a successful migration with minimal disruption. Data Migration Tool like Ask On Data play a pivotal role in this journey, offering features that streamline the process, ensure data integrity, and maintain security. With the right approach and tools, organizations can turn the challenge of data migration into an opportunity for growth and innovation.
3. SEVENTH FRAMEWORK PROGRAMME
Information & Communication Technologies
Trustworthy ICT
NETWORK OF EXCELLENCE
Grant Agreement No. 257007
A European Network of Excellence in Managing Threats and Vulnerabilities
in the Future Internet: Europe for the World
The Red Book:
A Roadmap for Systems Security Research
Abstract: The Red Book presents a roadmap in the area of
systems security, as prepared by the SysSec consortium and its
constituency in the first half of 2013.
Contractual Date of Delivery August 2013
Actual Date of Delivery August 2013
Dissemination Level Public
Editor Evangelos Markatos, Davide Balzarotti
Contributors All SysSec partners
Quality Assurance M. Almgren, E. Athanasopoulos, H. Bos, D.
Balzarotti, L. Cavallaro, S. Ioannidis, M. Lin-
dorfer, F. Maggi, E. Markatos, F. Moradi, C.
Platzer, I. Polakis, M. Polychronakis, A. Slowin-
ska, P. Tsigas, S. Zanero
The SysSec consortium consists of:
FORTH-ICS Coordinator Greece
Politecnico Di Milano Principal Contractor Italy
Vrije Universiteit Amsterdam Principal Contractor The Netherlands
Institut Eurécom Principal Contractor France
IICT-BAS Principal Contractor Bulgaria
Technical University of Vienna Principal Contractor Austria
Chalmers University Principal Contractor Sweden
TUBITAK-BILGEM Principal Contractor Turkey
5. SYSSEC TASK FORCE for the ROADMAP
on SYSTEMS SECURITY RESEARCH
CO-CHAIRS
Evangelos Markatos
SysSec Project Manager
Foundation for Research and
Technology - Hellas
Davide Balzarotti
SysSec WP4 Leader
Eurecom
MEMBERS
Elias Athanasopoulos
Columbia University
Lorenzo Cavallaro
Royal Holloway University of London
Federico Maggi
Politecnico di Milano
Michalis Polychronakis
Columbia University and FORTH
Asia Slowinska
Vrije Universiteit
Iason Polakis
FORTH and University of Crete
Magnus Almgren
Chalmers
Herbert Bos
Vrije Universiteit
Sotiris Ioannidis
FORTH
Cristian Platzer
TUV
Philippas Tsigas
Chalmers
Stefano Zanero
Politecnino di Milano
CONTRIBUTORS
Martina Lindorfer
TU Vienna
Farnaz Moradi
Chalmers University
Zlatogor Minchev
Bulgarian Academy of Sciences
6. Preface
A
fter the completion of its second year of operation, the SysSec
Network of Excellence produced this “Red Book of Cybersecurity”
to serve as a Roadmap in the area of Systems Security. To realize
this book, SysSec put together a “Task Force” of top-level young researchers
in the area steered by the advice of SysSec WorkPackage Leaders. The Task
Force had vibrant consultations (i) with the Working Groups of SysSec, (ii)
with the Associated members of SysSec, and (iii) with the broader Systems
Security Community. Capturing their feedback in an on-line questionnaire and
in forward-looking “what if” questions, the Task Force was able to distill their
knowledge, their concerns, and their vision for the future.
The result of this consultation has been captured in this Red Book which
we hope will serve as a Road Map of Systems Security Research and as an
advisory document for policy makers and researchers who would like to have an
impact on the Security of the Future Internet.
How to Read this Book
Policy Makers may want to focus on Chapter 1 at page 3 which provides a
short Executive Summary of the book and on Chapter 14 in page 103
which describes Grand Challenge Research Problems in the area which
can be solved only with the collaboration of several Research Organiza-
tions and the support of leading funding Agencies. Related work may be
found in the second part of the book in page 107, which provides a good
overview of other Research Roadmaps from Europe and from the States.
Young Researchers who are interested in doing a Ph.D. in systems security
should read the first part of the book, and especially the final section of
each chapter, which describes problems that are appropriate to be solved
within the context of a Ph.D. thesis.
Experienced Researchers may want to focus on the first part of the book,
which provides an in-depth treatment of various research problems and
in Chapter 14 in page 103, which describes Grand Challenge Research
Problems in the area.
7. Journalists may want to focus on sections *.2 and *.3 of the first part, which
paint a picture of the average and worst-case consequences of the emerg-
ing threats studied.
All should read Chapter 2 in page 7, which lists the identified threats, assets
and security domains.
8. Contents
1 Executive Summary 3
2 Introduction 7
Part I: Threats Identified 21
3 In Search of Lost Anonymity 21
4 Software Vulnerabilities 27
5 Social Networks 35
6 Critical Infrastructure Security 41
7 Authentication and Authorization 51
8 Security of Mobile Devices 59
9 Legacy Systems 67
10 Usable Security 73
11 The Botnet that Would not Die 81
12 Malware 87
13 Social Engineering and Phishing 93
14 Grand Challenges 103
Part II: Related Work 107
15 A Crisis of Prioritization 107
9. Contents
16 Forward 109
17 Federal Plan for Cyber Security 113
18 EffectsPlus 117
19 Digital Government 121
20 Horizon2020 123
21 RISEPTIS Report 127
22 ENISA Threat Landscape 131
23 Cyber Security Research Workshop 137
24 Cyber Security Strategy 141
25 The Dutch National Cyber Security Research Agenda 145
A Methodologies 157
B SysSec Threats Landscape Evolution 159
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10. 1 Executive Summary
B
ased on published results, it is considered larger than the black mar-
ket of marijuana, heroin, and cocaine combined [13]. Its size was
recently estimated to exceed one trillion dollars [243]. It adversely af-
fected more then 88% of Europeans last year [53]. What is it? It is the Global
Market of Cyber Crime. As we embraced the convenience and effectiveness of
the Internet into our lives, homes, retirement plans, and even wallets, we also
opened the door to a new breed of attackers determined to gain profit from
this wonderful new cyberworld. Motivated by fun, profit, and even political
motives, cyberattackers have now impacted, or threaten to impact, most realms
of our lives.
Understanding the dangers we have subjected ourselves to and predicting
the threats that are going to materialize, is one of the major tasks of the SysSec
Network of Excellence. A four-year project, SysSec has mobilized the top
cybersecurity researchers in Europe and challenged them to think ahead, think
disruptively, and finally predict what should be the important emerging research
areas in cyber security and privacy. This book summarizes the Emerging Threats
identified during the third year of the project and proposes Grand Challenges
that, if addressed, will significantly boost the safety and security of the Internet
for the years to come.
1.1 Emerging Threats
SysSec, along with its constituency, has identified a number of research issues
on which we should focus our efforts. The issues are organized in two groups:
Threats, which correspond to dangers that may exploit vulnerabilities and cause
harm, and Domains, which correspond to emerging application areas made
possible (i) by advancements in technology, and (ii) by major shifts in society.
The major threats identified are:
Malware, Botnets, Insider Threats, Targeted Attacks - Advanced
Persistent Threats, Web Vulnerabilities, Software Vulnerabilities,
SPAM, Malicious Hardware, Data Breaches, Social Engineering -
Phishing, Passive/Active Eavesdropping, On-line behavior tracking,
and Spoofing - Impersonation.
11. 1. Executive Summary
The major domains identified are:
Social Networks, On-line Games, e-commerce, e-banking, Sensors
- Drones, Embedded Systems, SmartEnvironments, Legacy Sys-
tems, Critical Infrastructures, Mobile Systems, Wireless Networks,
Implantable Devices, and The Cloud.
The Important Ones
We have asked our constituency to select the threats and domains that they
feel are most important of all. The three most important threats selected were:
• Malware
• Targeted Attacks
• Social Engineering - Phishing
The three most important domains selected were:
• Mobile Devices
• Social Networks
• Critical Infrastructures
1.2 Grand Challenges
In addition to emerging threats, SysSec has identified a few grand challenge
problems. Solving them will be a major step towards creating a trusted and
safe cyberspace. These challenges include:
• No Device Should Be Compromisable: Develop the necessary hard-
ware and software support to make it impossible for attackers to com-
promise a computer or communication device for that matter, including
smartphones and tablets.
• Give Users Control Over Their Data: Provide the necessary mecha-
nisms so that users
1. will be able to know which data they have created (such as text, photos,
videos, cookies, web requests, etc.),
2. will be able to know what data they have given to third parties (such as
text, photos, cookies, web requests, IP addresses, etc.)
3. will have the capability to refuse disclosure of some data (such as
cookies and IP addresses) and still expect a decent level of service,
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12. 1.2. Grand Challenges
4. will have the capability to delete their own data which they have created
(both from the local storage as well as from the cloud), and
5. will, under an appropriate legal framework, have the ability to ask
past recipients of their data to erase them as well.
• Provide Private Moments in Public Places: Enable users to have private
communication in the public areas of the cyberspace. Consider the
following analogy: The fact that people are having dinner in a public
restaurant does not mean that their conversation could be recorded by
the manager of the restaurant, and later made available without their
explicit consent. Similarly, the fact that people are communicating in
the cyberspace does not imply that parts of their communication can be
recorded and used later through means outside their control. We propose
to develop mechanisms that will enable people to have a reasonable
expectation of privacy in what can be considered a public venue in the
cyberspace.
• Develop Compromise-Tolerant Systems: Provide adequate security
levels even if components of the system have been compromised. It is
reasonable to expect that not all attacks will be detected and success-
fully mitigated. Human errors, software errors, hardware errors, and
insufficient protection mechanisms will allow some attacks to go through
successfully. This implies that some systems, or components of systems
will be compromised, and this may go undetected for a long period
of time. Given such an environment, we should develop systems that
will be able to provide decent security guarantees even if some of their
components are compromised.
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