The research proposal is about my current research project titled "Study on Cyber Security: Establishing a Sustainable Information Security Framework for University Automation System"
Advancing Foundation and Practice of Software AnalyticsTao Xie
Vision Statement Presentation on "Advancing Foundation & Practice of Software Analytics" at the 2nd International NSF sponsored Workshop on Realizing Artificial Intelligence Synergies in Software Engineering (RAISE 2013) http://promisedata.org/raise/2013/
Table of Content - International Journal of Managing Information Technology (...IJMIT JOURNAL
The International Journal of Managing Information Technology (IJMIT) is a quarterly open access peer-reviewed journal that publishes articles that contribute new results in all areas of the strategic application of information technology (IT) in organizations. The journal focuses on innovative ideas and best practices in using IT to advance organizations – for-profit, non-profit, and governmental. The goal of this journal is to bring together researchers and practitioners from academia, government and industry to focus on understanding both how to use IT to support the strategy and goals of the organization and to employ IT in new ways to foster greater collaboration, communication, and information sharing both within the organization and with its stakeholders. The International Journal of Managing Information Technology seeks to establish new collaborations, new best practices, and new theories in these areas.
Nexus of Biology and Computing - a look at how biologically-inspired models are supplementing traditional linear computational methodologies
Audio: http://feeds.feedburner.com/BroaderPerspectivePodcast
Advancing Foundation and Practice of Software AnalyticsTao Xie
Vision Statement Presentation on "Advancing Foundation & Practice of Software Analytics" at the 2nd International NSF sponsored Workshop on Realizing Artificial Intelligence Synergies in Software Engineering (RAISE 2013) http://promisedata.org/raise/2013/
Table of Content - International Journal of Managing Information Technology (...IJMIT JOURNAL
The International Journal of Managing Information Technology (IJMIT) is a quarterly open access peer-reviewed journal that publishes articles that contribute new results in all areas of the strategic application of information technology (IT) in organizations. The journal focuses on innovative ideas and best practices in using IT to advance organizations – for-profit, non-profit, and governmental. The goal of this journal is to bring together researchers and practitioners from academia, government and industry to focus on understanding both how to use IT to support the strategy and goals of the organization and to employ IT in new ways to foster greater collaboration, communication, and information sharing both within the organization and with its stakeholders. The International Journal of Managing Information Technology seeks to establish new collaborations, new best practices, and new theories in these areas.
Nexus of Biology and Computing - a look at how biologically-inspired models are supplementing traditional linear computational methodologies
Audio: http://feeds.feedburner.com/BroaderPerspectivePodcast
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
• Improve Data Management with Semantic Data Integration
• Discuss the issues of data variety and data uncertainty
• Moving from Big Data to Big Analysis
• How to apply Analysis to Big Data (Big Analysis)
• Benefits of Advanced Analytics in Life Science
How does cybersecurity relate to safety?
Betty H.C. Cheng,
February 5, 2016
Software Engineering and Network Systems Lab Digital Evolution Laboratory
BEACON: NSF Center for Evolution in Action Department of Computer Science and Engineering Michigan State University
chengb at cse dot msu dot edu http://www.cse.msu.edu/~chengb
Professor Betty Cheng, Department of Computer Science and Engineering at Michigan State University, presents her latest research and collaboration opportunities at the Cybersecurity Interdisciplinary Forum on Feb. 5. 2016.
Dr. Cheng is also affiliated with:
Software Engineering and Network Systems Lab
Digital Evolution Laboratory
BEACON: NSF Center for Evolution in Action
chengb@cse.msu.edu
http://www.cse.msu.edu/~chengb
This talk will provide a means to discuss the capture, integration and dissemination of data across large enterprises. We will show how data variety is continuing to grow, meaning new data sources are steadily becoming available for use in analysis. Data veracity is also of importance since a large amount of data is fuzzy (uncertain) in nature. The ability to integrate these various data sources and provide improved capabilities to understand and use it is of increasing importance in today’s pharma climate. We call this Reference Master Data Management (RMDM).
This talk will span an arc of data lifecycle management, beginning with instrument data, moving across to clinical studies, production, regulatory affairs and finally e-archiving (see Fig. 1). I will show how these systems can use a common semantics for modeling of important metadata, which can apply the FAIR principles of Findability, Accessibility, Interoperability and Reusability to a common “semantic hub” that can connect data sources of different varieties across the enterprise. ADF files, for example, use their Data Description layer to provide semantic metadata about file contents. Similarly, semantics can be used to describe clinical trials data, regulatory data, etc., through to archiving, for improved storage and search over long periods of time.
This is a paper presentation held by Rafael Dowsley at the 1st International Workshop on Cloud Security and Data Privacy by Design (CloudSPD'15) in Limassol, Cyprus.
Cyber Summit 2016: Establishing an Ethics Framework for Predictive Analytics ...Cybera Inc.
Stephen Childs was hired by the University of Calgary to develop an individual-level predictive model mapping students' decisions to attend the University. In his experience, the higher education sector was slow to use all the data it has available, but this is now changing.
As interest in making use of organizational data grows, staff must consider how these models will be used, and any problems that could arise. When individual predictions become the basis for decisions, how do we ensure our algorithms don't make existing problems worse? A framework for handling these issues now will let organizations handle these issues in a way that is consistent with their values.
Given the culture of today's institutions, and the success of predictive analytics in other fields, there is no doubt that these tools will be used. These techniques can improve student success and the competitiveness of educational organizations, but the benefits should not be gained at the expense of individuals within the system. This talk will propose a set of best practices for using institutional data for predictive modelling to address equity, privacy and other concerns. We must start thinking of this now, before other practices become entrenched.
Challenges & Opportunities of Implementation FAIR in Life SciencesOSTHUS
Speak in common terms – identify Business Outcomes (value) as well as technology
Don’t say “semantics”, “FAIR”, “ontologies”, etc. – talk about outcomes and results
Drive projects through results – QUICK WINS
Identify the right data – build off of that (evolution not revolution)
Think about legacy systems, provenance, governance, stewardship, etc. – have answers to the nay-sayers.
Be honest what this will do and what it won’t
ROI – have this in mind (Business Value not Tech Value)
Cost savings (reduced hours, faster search, accurate reporting, better visibility, etc.)
Risk Mitigation (improved regulatory, corporate knowledge vs. indivual, M&A, etc.)
Innovation (what is the value to being a thought leader?)
From allotrope to reference master data management OSTHUS
We will present the updated Allotrope framework and cover .adf files and how they are used. We’ll demonstrate semantic modeling in .adf (OWL models + the SHACL constraint language). We’ll show how the data description layer in .adf can be extended via a “semantic hub” that we call Reference Master Data Management, which can be used across the enterprise. RMDM provides a means to integrate metadata about any data source within your enterprise – including structured, semi-structured and unstructured data. Customer examples from current project work will be given where possible. Last we’ll show scalability of this approach using data science techniques can be employed beyond just the metadata – we refer to this as Big Analysis.
Overview of Library & Systematic Review (LASYR) Infrastructure for Blockchain and Emerging Technologies project at IEEE Healthcare: Blockchain & AI event - 07 April 2021
Visualization and Analysis of Dynamic Networks Alexander Pico
DynNetwork development was taken up initially by Sabina Sara Pfister back in GSoC 2012. She laid out a strong foundation for dynamic network visualization in Cytoscape and my job was to extend the plugin’s functionality to help users analyse time changing networks. The two of us were mentored by Jason Montojo. We had developed a decent tool over the course of two GSoC programs to aid dynamic network analysis and our efforts culminated in DynNetwork getting accepted for an oral presentation at the International Network for Social Network Analysis (INSNA), Sunbelt 2014 which was held in St. Petersburg, FL in February.
Expert panel on industrialising microbiomics - with UnileverEagle Genomics
A panel of experts, including Dr Barry Murphy, Microbiomics Science Lead at Unilever, Dr Craig McAnulla, Senior Consultant for Bioinformatics and Dr Yasmin Alam-Faruque, Scientific Data Manager/Biocurator discuss first-hand experience and views on how to get better insights faster from microbiome data.
On the large scale of studying dynamics with MEG: Lessons learned from the Hu...Robert Oostenveld
As part of the Human Connectome Project (HCP), which includes high-quality fMRI, anatomical MRI, DTi and genetic data from 1200 subjects, we have scanned and investigated a subset of 100 subjects (mostly comprised of pairs of twins) using MEG. The raw data acquired in the HCP has been analyzed using standard pipelines [ref1] and both raw and results at various levels of processing have been shared though the ConnectomeDB [ref2].
Throughout the process of the HCP we have not only analyzed (resting state) MEG data, but also have developed the data analysis protocols, the software and the strategies to achieve reproducible MEG connectivity results. The MEG data analysis software is based on FieldTrip, an open source toolbox [ref3], and is shared alongside the data to allow the analyses to be repeated on independent data.
In this presentation I will outline what the HCP MEG team has learned along the way and I will provide recommendations on what to do and what to avoid in making MEG studies on (resting state) connectivity more reproducible.
1. Larson-Prior LJ, Oostenveld R, Della Penna S, Michalareas G, Prior F, Babajani-Feremi A, Schoffelen JM, Marzetti L, de Pasquale F, Di Pompeo F, Stout J, Woolrich M, Luo Q, Bucholz R, Fries P, Pizzella V, Romani GL, Corbetta M, Snyder AZ; WU-Minn HCP Consortium. Adding dynamics to the Human Connectome Project with MEG. Neuroimage, 2013.
doi:10.1016/j.neuroimage.2013.05.056
2. Hodge MR, Horton W, Brown T, Herrick R, Olsen T, Hileman ME, McKay M, Archie KA, Cler E, Harms MP, Burgess GC, Glasser MF, Elam JS, Curtiss SW, Barch DM, Oostenveld R, Larson-Prior LJ, Ugurbil K, Van Essen DC, Marcus DS. ConnectomeDB-Sharing human brain connectivity data. Neuroimage, 2016. doi:10.1016/j.neuroimage.2015.04.046
3. Oostenveld R, Fries P, Maris E, Schoffelen JM. FieldTrip: Open Source Software for Advanced Analysis of MEG, EEG, and Invasive Electrophysiological Data. Comput Intell Neurosci. 2011. doi:10.1155/2011/156869
Slides presenting preliminary overview of thesis work presented at the International Conference on Electronic Learning in the Workplace at Columbia University on June 11, 2010.
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
• Improve Data Management with Semantic Data Integration
• Discuss the issues of data variety and data uncertainty
• Moving from Big Data to Big Analysis
• How to apply Analysis to Big Data (Big Analysis)
• Benefits of Advanced Analytics in Life Science
How does cybersecurity relate to safety?
Betty H.C. Cheng,
February 5, 2016
Software Engineering and Network Systems Lab Digital Evolution Laboratory
BEACON: NSF Center for Evolution in Action Department of Computer Science and Engineering Michigan State University
chengb at cse dot msu dot edu http://www.cse.msu.edu/~chengb
Professor Betty Cheng, Department of Computer Science and Engineering at Michigan State University, presents her latest research and collaboration opportunities at the Cybersecurity Interdisciplinary Forum on Feb. 5. 2016.
Dr. Cheng is also affiliated with:
Software Engineering and Network Systems Lab
Digital Evolution Laboratory
BEACON: NSF Center for Evolution in Action
chengb@cse.msu.edu
http://www.cse.msu.edu/~chengb
This talk will provide a means to discuss the capture, integration and dissemination of data across large enterprises. We will show how data variety is continuing to grow, meaning new data sources are steadily becoming available for use in analysis. Data veracity is also of importance since a large amount of data is fuzzy (uncertain) in nature. The ability to integrate these various data sources and provide improved capabilities to understand and use it is of increasing importance in today’s pharma climate. We call this Reference Master Data Management (RMDM).
This talk will span an arc of data lifecycle management, beginning with instrument data, moving across to clinical studies, production, regulatory affairs and finally e-archiving (see Fig. 1). I will show how these systems can use a common semantics for modeling of important metadata, which can apply the FAIR principles of Findability, Accessibility, Interoperability and Reusability to a common “semantic hub” that can connect data sources of different varieties across the enterprise. ADF files, for example, use their Data Description layer to provide semantic metadata about file contents. Similarly, semantics can be used to describe clinical trials data, regulatory data, etc., through to archiving, for improved storage and search over long periods of time.
This is a paper presentation held by Rafael Dowsley at the 1st International Workshop on Cloud Security and Data Privacy by Design (CloudSPD'15) in Limassol, Cyprus.
Cyber Summit 2016: Establishing an Ethics Framework for Predictive Analytics ...Cybera Inc.
Stephen Childs was hired by the University of Calgary to develop an individual-level predictive model mapping students' decisions to attend the University. In his experience, the higher education sector was slow to use all the data it has available, but this is now changing.
As interest in making use of organizational data grows, staff must consider how these models will be used, and any problems that could arise. When individual predictions become the basis for decisions, how do we ensure our algorithms don't make existing problems worse? A framework for handling these issues now will let organizations handle these issues in a way that is consistent with their values.
Given the culture of today's institutions, and the success of predictive analytics in other fields, there is no doubt that these tools will be used. These techniques can improve student success and the competitiveness of educational organizations, but the benefits should not be gained at the expense of individuals within the system. This talk will propose a set of best practices for using institutional data for predictive modelling to address equity, privacy and other concerns. We must start thinking of this now, before other practices become entrenched.
Challenges & Opportunities of Implementation FAIR in Life SciencesOSTHUS
Speak in common terms – identify Business Outcomes (value) as well as technology
Don’t say “semantics”, “FAIR”, “ontologies”, etc. – talk about outcomes and results
Drive projects through results – QUICK WINS
Identify the right data – build off of that (evolution not revolution)
Think about legacy systems, provenance, governance, stewardship, etc. – have answers to the nay-sayers.
Be honest what this will do and what it won’t
ROI – have this in mind (Business Value not Tech Value)
Cost savings (reduced hours, faster search, accurate reporting, better visibility, etc.)
Risk Mitigation (improved regulatory, corporate knowledge vs. indivual, M&A, etc.)
Innovation (what is the value to being a thought leader?)
From allotrope to reference master data management OSTHUS
We will present the updated Allotrope framework and cover .adf files and how they are used. We’ll demonstrate semantic modeling in .adf (OWL models + the SHACL constraint language). We’ll show how the data description layer in .adf can be extended via a “semantic hub” that we call Reference Master Data Management, which can be used across the enterprise. RMDM provides a means to integrate metadata about any data source within your enterprise – including structured, semi-structured and unstructured data. Customer examples from current project work will be given where possible. Last we’ll show scalability of this approach using data science techniques can be employed beyond just the metadata – we refer to this as Big Analysis.
Overview of Library & Systematic Review (LASYR) Infrastructure for Blockchain and Emerging Technologies project at IEEE Healthcare: Blockchain & AI event - 07 April 2021
Visualization and Analysis of Dynamic Networks Alexander Pico
DynNetwork development was taken up initially by Sabina Sara Pfister back in GSoC 2012. She laid out a strong foundation for dynamic network visualization in Cytoscape and my job was to extend the plugin’s functionality to help users analyse time changing networks. The two of us were mentored by Jason Montojo. We had developed a decent tool over the course of two GSoC programs to aid dynamic network analysis and our efforts culminated in DynNetwork getting accepted for an oral presentation at the International Network for Social Network Analysis (INSNA), Sunbelt 2014 which was held in St. Petersburg, FL in February.
Expert panel on industrialising microbiomics - with UnileverEagle Genomics
A panel of experts, including Dr Barry Murphy, Microbiomics Science Lead at Unilever, Dr Craig McAnulla, Senior Consultant for Bioinformatics and Dr Yasmin Alam-Faruque, Scientific Data Manager/Biocurator discuss first-hand experience and views on how to get better insights faster from microbiome data.
On the large scale of studying dynamics with MEG: Lessons learned from the Hu...Robert Oostenveld
As part of the Human Connectome Project (HCP), which includes high-quality fMRI, anatomical MRI, DTi and genetic data from 1200 subjects, we have scanned and investigated a subset of 100 subjects (mostly comprised of pairs of twins) using MEG. The raw data acquired in the HCP has been analyzed using standard pipelines [ref1] and both raw and results at various levels of processing have been shared though the ConnectomeDB [ref2].
Throughout the process of the HCP we have not only analyzed (resting state) MEG data, but also have developed the data analysis protocols, the software and the strategies to achieve reproducible MEG connectivity results. The MEG data analysis software is based on FieldTrip, an open source toolbox [ref3], and is shared alongside the data to allow the analyses to be repeated on independent data.
In this presentation I will outline what the HCP MEG team has learned along the way and I will provide recommendations on what to do and what to avoid in making MEG studies on (resting state) connectivity more reproducible.
1. Larson-Prior LJ, Oostenveld R, Della Penna S, Michalareas G, Prior F, Babajani-Feremi A, Schoffelen JM, Marzetti L, de Pasquale F, Di Pompeo F, Stout J, Woolrich M, Luo Q, Bucholz R, Fries P, Pizzella V, Romani GL, Corbetta M, Snyder AZ; WU-Minn HCP Consortium. Adding dynamics to the Human Connectome Project with MEG. Neuroimage, 2013.
doi:10.1016/j.neuroimage.2013.05.056
2. Hodge MR, Horton W, Brown T, Herrick R, Olsen T, Hileman ME, McKay M, Archie KA, Cler E, Harms MP, Burgess GC, Glasser MF, Elam JS, Curtiss SW, Barch DM, Oostenveld R, Larson-Prior LJ, Ugurbil K, Van Essen DC, Marcus DS. ConnectomeDB-Sharing human brain connectivity data. Neuroimage, 2016. doi:10.1016/j.neuroimage.2015.04.046
3. Oostenveld R, Fries P, Maris E, Schoffelen JM. FieldTrip: Open Source Software for Advanced Analysis of MEG, EEG, and Invasive Electrophysiological Data. Comput Intell Neurosci. 2011. doi:10.1155/2011/156869
Slides presenting preliminary overview of thesis work presented at the International Conference on Electronic Learning in the Workplace at Columbia University on June 11, 2010.
Security and Privacy Measurements in Social Networks: Experiences and Lessons...FACE
We describe our experience gained while exploring practical security and privacy problems in a real-world, large- scale social network (i.e., Facebook), and summarize our conclu- sions in a series of “lessons learned”. We first conclude that it is better to adequately describe the potential ethical concerns from the very beginning and plan ahead the institutional review board (IRB) request. Even though sometimes optional, the IRB approval is a valuable point from the reviewer’s perspective. Another aspect that needs planning is getting in touch with the online social network security team, which takes a substantial amount of time. With their support, “bending the rules” (e.g., using scrapers) when the experimental goals require so, is easier. Clearly, in cases where critical technical vulnerabilities are found during the research, the general recommendations for responsible disclosure should be followed. Gaining the audience’s engagement and trust was essential to the success of our user study. Participants felt more comfortable when subscribing to our experiments, and also responsibly reported bugs and glitches. We did not observe the same behavior in crowd-sourcing workers, who were instead more interested in obtaining their rewards. On a related point, our experience suggests that crowd sourcing should not be used alone: Setting up tasks is more time consuming than it seems, and researchers must insert some sentinel checks to ensure that workers are not submitting random answers.
From a logistics point of view, we learned that having at least a high-level plan of the experiments pays back, especially when the IRB requires a detailed description of the work and the data to be collected. However, over planning can be dangerous because the measurement goals can change dynamically. From a technical point of view, partially connected to the logistics remarks, having a complex and large data-gathering and analysis framework may be counterproductive in terms of set-up and management overhead. From our experience we suggest to choose simple technologies that scale up if needed but, more importantly, can scale down. For example, launching a quick query should be straightforward, and the frameworks should not impose too much overhead for formulating it. We conclude with a series of practical recommendations on how to successfully collect data from online social networks (e.g., using techniques for network multi presence, mimicking user behavior, and other crawling “tricks”’) and avoid abusing the online service, while gathering the data required by the experiments.
Integrating big data with an agile cloud platform can significantly affect how businesses achieve their
objectives. Many companies are moving to the cloud, but the trust issue seemed to make a move to the
cloud slower. This paper investigated the factors that affect Service Satisfaction that led to Trust. Since the
sample was not normally distributed, the researchers used the PLS-SEM tool to analyse the relationship of
the variables. The variables are Data Security, Data Privacy, Cloud Benefits, Reputation, Service Level
Agreement (SLA), Risk Management, Service Satisfaction and Trust. The variables were linked together
based on the analysis from qualitative research supported by theories, and the linkages were being
validated through quantitative data analysis. The quantitative data analysis found that Data Security, Cloud Benefits, Reputation and SLA influence Service Satisfaction and Service Satisfaction influences trust
Integrating big data with an agile cloud platform can significantly affect how businesses achieve their
objectives. Many companies are moving to the cloud, but the trust issue seemed to make a move to the
cloud slower. This paper investigated the factors that affect Service Satisfaction that led to Trust. Since the
sample was not normally distributed, the researchers used the PLS-SEM tool to analyse the relationship of
the variables. The variables are Data Security, Data Privacy, Cloud Benefits, Reputation, Service Level
Agreement (SLA), Risk Management, Service Satisfaction and Trust. The variables were linked together
based on the analysis from qualitative research supported by theories, and the linkages were being
validated through quantitative data analysis. The quantitative data analysis found that Data Security,
Cloud Benefits, Reputation and SLA influence Service Satisfaction and Service Satisfaction influences trust.
Step 1 Consider the Purpose for the ResearchYou have been given.docxwhitneyleman54422
Step 1: Consider the Purpose for the Research
You have been given your assignment. It is now time to think about the purpose of your research. You have written papers in your classes and done some research for work projects. This project requires that you review your previous work and construct a basic research plan. At the graduate level, your work will be expected to meet a higher level of cognitive objective, using analysis, synthesis, and supporting conclusions with facts. There are several elements in the project that your department head will want to see to ensure that your work is on the right track. For one, he may want to see your research question to ensure that you are looking for the right information. If you can develop a specific and focused research question, you will have a good start. Next, you will look to see what information is already out there, and if your question has already been answered. Using a scientific approach, you will create a working hypothesis that will present your findings and conclusions. Remember that your ultimate objective is to arrive at a reasonable, well-supported analysis of the impact of the issue on your industry. This can be the first step that leads to practical solutions for your organization’s issues.
Next, you will prepare to do your research.
Step 2: Prepare to Do Research
You already have your assignment and a purpose for your research. In this step you will prepare for the research. For more information, see Why Do We Do Research? on the Conducting Research page, also in Project 2.
Another reason to do research is to answer basic questions. While there are many times that you should research using a traditional library and peer-reviewed journals, there will be many questions that are answerable by targeted internet searches. These are valid skills for you to develop and they will serve you well in your professional life. So, get acquainted with the Google Search tools so that you have them at your fingertips.
To get some background on various Cybersecurity issues, read Critical Challenges in Cybersecurity.
In the next step, you will select an issue.Step 3: Choose an Issue
In the last step, you prepared for your research. Now it is time to focus on an issue. Choose an issue from your research on a trend in your industry that has potential for great impact on the field, and then draft a preliminary question. Next, do some preliminary reading to see if the question has already been answered, or if there is enough information on the topic. Refine your question and submit it to the “so what” test. Will your answer contribute to knowledge about the issue you have selected? Is the question answerable? Remember that in academic work you do not normally write normative or open-ended questions, which start with the words should or would.
In the next step, you will create a hypothesis.
Step 4: Craft a Hypothesis
You have selected an issue to research. Now it is time to craft a working hypothesis as.
Architecture centric support for security orchestration and automationChadni Islam
The presentation was prepared for the University of Adelaide School of Computer Science Research Seminar Series. See the slides to know
- what is security orchestration?
- what are the key challenges in this domain?
- how software architecture can play a role in improving the design decision of security orchestration and automation platform?
MITS Advanced Research TechniquesResearch ProposalCandidate.docxroushhsiu
MITS Advanced Research Techniques
Research Proposal
Candidate:
Student Name
Higher Education Department
Proposed Title:
Proposed Title of the Research to be Undertaken
Abstract (250 words one page):
The Abstract goes here. The abstract is a brief summary of the contents of a study, and it allows readers to quickly survey the essential elements of a project. Approximately 150 - 250 words. Abstract should be justified, italicized with small margins than the rest of the document
Introduction(3 pages):
(literature review)(5 pages):
This section provides an opportunity to quickly grab the attention of your reviewer and explain why they should care about the project. Contains a number of important sections. The sections below are recommended, but can be changed to suit different proposals approx 5pages
Methodological Approach(3 pages):
This section outlines the methods you will use in conducting the research and analyzing the data. 3 pages
Conclusion :
Half page to one page
If concept matrix is been added than put it before references
References (15 – 20 references):
5 to 8 references are already provided just add a few more in it
Running head: CYBER SECURITY 1
CYBER SECURITY 2
Topic : Cyber Security
Cyber Security
Abstract
Data integrity, an integral aspect of cyber security, is identified as the consistence and accuracy that is assured of data in its life cycle, and is an imperative aspect of implementation, design, and utilization of systems which processes, stores, and retrieves data (Graham, 2017). It is estimated that almost 90 percent of the world’s data was generated in the last two year, and this goes to show the rate at which data is being availed. There are various threats associated with data integrity, for example, security, human, and transfer errors, cyber-attacks and malware just to name a few. The purpose of examination of data integrity in the context of organizations and business is due to the impact that it has on the latter’s operations and eventual success.
Data integrity is important when it comes to the productivity and operations of an organization, because management make decisions based on real-time data that is offered to them. If the data presented to management is inaccurate due to lack of proper data integrity, then the decisions that they make might have an adverse effect on an organization. For example, if data related to last year’s projections and profits in the finance department is altered in any way, then the decision of making plans in relation to an organization’s financial position might be lead to further losses. Organizations ought to prioritize security measures through there various Information Systems departments or by seeking third party cyber security specialties to protect and mitigate against the threats related to data integrity.
Research Question
What are the threats associated with data integrity and the impact they have on organizational productivity and operati.
Secured cloud support for global softwareijseajournal
This paper presents core problem solution to security of Global Software Development Requirement
Information. Currently the major issue deals with hacking of sensitive client information which may lead to
major financial as well as social loss. To avoid this system provides cloud security by encryption of data as
well as deployment of tool over the cloud will provide significant security to whole global content
management system. The core findings are presented in terms of how hacker hacks such systems and what
counter steps need to follow. Our algorithmic development provide random information storage at various
cloud nodes to secure our client requirement data files.
Systematic Literature Review of Information Security Risk AssessmentAde Ajasa
This is a systematic literature review (SLR) regarding
information security and risk assessment and this is to collect,
analyse and generate an overview of what has been gathered
from existing papers after they have been read to generate a new SLR study. The paper would investigate and discuss the
information security risk assessment via the methodologies
described and implemented within an organisation/ company or
business as well as the advantages and disadvantages of these methods including the area of application these methods were validated from.
Applying a Systematic Review on Adaptive Security for DSPLcsandit
Providing security and privacy to Dynamic Software Product Lines (DSPL) is very challenging.
DSPL is becoming the system with high vulnerability in which the security is a difficult task and
critical for it to operate. Adaptive security is able to automatically select security mechanisms
and their parameters at runtime in order to preserve the required security level in a changing
environment. This paper presents a literature review of security adaptation approaches for
DSPL, and evaluates them in terms of how well they support critical security services and what
level of adaptation they achieve. This work will be done following the Systematic Review
approach. Our results concluded that the research field of security approaches for DSPL is still
poor of methods and metrics for evaluating and comparing different techniques.
Similar to Study on Cyber Security:Establishing a Sustainable Cyber Security Framework for University Automation System (20)
Presentation on House Rent Management SystemRihab Rahman
The broad objective of this project is to develop software to maintain the track records of
renter info, owner info monthly rent info, receipts, rent advances made, maintenances and
other related issues.
Presentation on Transmission Media & SwitchingRihab Rahman
This presentation contains information about
Transmission media
Types of transmission media
Guided transmission media
Unguided transmission media
What is switching
Methods of switching
Structure of Switch
Presentation on Automated Prescription Management SystemRihab Rahman
The aim of the project is to develop an automated prescription system for the patients.
Because for every time visiting to doctor the patient has to bring all his medical records and those may lose easily. It becomes very troublesome for some cases. So, for solving this problem we have planned to develop the system so that the patient can get the prescription anytime and do not need to carry previous prescriptions. Doctors can also see the full medical history of any patient within a very short time. It will also help him to give a proper diagnosis to the patient. Along with prescription, this software will also maintain and track down the records of stuffs, doctors, patients, appointments, and other related issues.
Display Characters of a String one by One on a 7 Segment DisplayRihab Rahman
The presentation is about the introduction of Arduino UNO and a 7 segment display with their description and usage. It also contains the pin configuration of Arduino along with its programming structure to display character of a string one by one.
Display a Character on a 7 Segment DisplayRihab Rahman
The presentation is about the introduction of Arduino UNO, its description and usage. It also contains the pin configuration of Arduino along with its programming structure to implement a single blinking LED light.
Blinking LED's Animation Connected to a PortRihab Rahman
The presentation is about the implementation of LED's animation using Arduino UNO. It also contains the program to burn in the Arduino for implementation.
The presentation is about the introduction of Arduino UNO, its description and usage. It also contains the pin configuration of Arduino along with its programming structure to implement a single blinking LED light.
Bernard Matthews Communicating with StakeholdersRihab Rahman
Its a presentation on the importance of business communication with the stakeholder of Barnard Matthews brand. It contains the ways of communication, barriers and some solution to improve the business communication skill.
Welocme to ViralQR, your best QR code generator.ViralQR
Welcome to ViralQR, your best QR code generator available on the market!
At ViralQR, we design static and dynamic QR codes. Our mission is to make business operations easier and customer engagement more powerful through the use of QR technology. Be it a small-scale business or a huge enterprise, our easy-to-use platform provides multiple choices that can be tailored according to your company's branding and marketing strategies.
Our Vision
We are here to make the process of creating QR codes easy and smooth, thus enhancing customer interaction and making business more fluid. We very strongly believe in the ability of QR codes to change the world for businesses in their interaction with customers and are set on making that technology accessible and usable far and wide.
Our Achievements
Ever since its inception, we have successfully served many clients by offering QR codes in their marketing, service delivery, and collection of feedback across various industries. Our platform has been recognized for its ease of use and amazing features, which helped a business to make QR codes.
Our Services
At ViralQR, here is a comprehensive suite of services that caters to your very needs:
Static QR Codes: Create free static QR codes. These QR codes are able to store significant information such as URLs, vCards, plain text, emails and SMS, Wi-Fi credentials, and Bitcoin addresses.
Dynamic QR codes: These also have all the advanced features but are subscription-based. They can directly link to PDF files, images, micro-landing pages, social accounts, review forms, business pages, and applications. In addition, they can be branded with CTAs, frames, patterns, colors, and logos to enhance your branding.
Pricing and Packages
Additionally, there is a 14-day free offer to ViralQR, which is an exceptional opportunity for new users to take a feel of this platform. One can easily subscribe from there and experience the full dynamic of using QR codes. The subscription plans are not only meant for business; they are priced very flexibly so that literally every business could afford to benefit from our service.
Why choose us?
ViralQR will provide services for marketing, advertising, catering, retail, and the like. The QR codes can be posted on fliers, packaging, merchandise, and banners, as well as to substitute for cash and cards in a restaurant or coffee shop. With QR codes integrated into your business, improve customer engagement and streamline operations.
Comprehensive Analytics
Subscribers of ViralQR receive detailed analytics and tracking tools in light of having a view of the core values of QR code performance. Our analytics dashboard shows aggregate views and unique views, as well as detailed information about each impression, including time, device, browser, and estimated location by city and country.
So, thank you for choosing ViralQR; we have an offer of nothing but the best in terms of QR code services to meet business diversity!
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
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/
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.
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.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
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
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
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!
Study on Cyber Security:Establishing a Sustainable Cyber Security Framework for University Automation System
1. What Do You Think?
Security is a journey?
Or
A destination?
According to Microsoft Vice President Dave Thompson,
“Security is a journey, not a destination.”
2. “Study on Cyber Security:
Establishing a Sustainable Cyber Security
Framework for University Automation System”
Presentation on
Supervised By
M.M. Rakibul Hasan
Lecturer
Department of Computer Science and Engineering
Prepared By
Rihab Rahman
ID: SECRET
Program: BCSE
Kaisary Zaman
ID: SECRET
Program: BCSE
3. Table of Content
Introduction
Background of Study
Problem Statement
Rationale of Study
Research Objective
Research Methodology
Data analysis tools
Test and Evaluation
Plan of Work
Time Schedule
Cost Estimation
Limitation of research work
Future Works of the
Research
Conclusion
Bibliography
3
5. Data Security - The process of protecting the data from
unauthorized users, preventing alterations and restricting the
access of sensitive information[1].
5
Background of Study
8. Rationale of Study
To let people know about the importance of cyber security
because in today’s technology-based world is a very vast
thing.
To cope up with this situation we should read this paper
titled as “Study on Cyber Security: Establishing a Cyber
Security Framework for University Automation System.”
It will be helpful to develop idea and model about information
security of university level institution.
8
9. Research Objective
Broad Objective: The broad objective of our research is to propose a
cyber security framework for the university automation system so that
we can ensure the safety of the confidential information of the
university.
9
Specific Objective:
1.Identify the sensitive and confidential information to protect.
2.Identify whose are the stakeholder of the sensitive and confidential
..information.
3.Identify lacking and security threats of running automation system.
4.Propose a security framework to ensure the future safety of the
system
10. Research Methodology
As we are studying on some frameworks to propose a new one
therefore, we are following comparative research methodologies.
It studies to identify, analyses and explain similarities and
differences across various cyber security frameworks.
10
Collect
Data
Study
Existing
Security
Framework
Propose
New
Framework
Check
efficiency
of new
framework
Get final
Result
Figure: Sequence of Research Work
12. Test and Evaluation
Collect some data security models to study on their efficiencies,
….advantages and limitation
Propose a model with comparatively less limitations
Test the proposed method with real life situation to justify the ….
…. efficiencies, advantages and usability than pervious models. 12
13. Plan of Work
Step 1: Area specification.
Step 2: Identify the Problem.
Step 3: Review the Literature.
Step 4: Methodology – interview, observations.
Step 5: Develop criteria's to compare.
Step 5: Analysis and interpreting data.
Step 6: Documenting Result & evaluation.
Step 7: Conclusion and recommendation. 13
14. Time Schedule
14
Work List / Week Distributions
Feb Mar Apr May June July Aug Sep
Area Specification
Identify the Problem
Review the Literature
Methodology – Interview, Observation
Develop Criteria’s to Compare
Analysis & Interpreting Data
Documenting Result & Evaluation
Conclusion and Recommendation
16. Limitation of the Research Work
Not getting permission for collecting all the required information.
Less resources for conducting the research.
Lack of required technologies to analysis data and
Not getting real life environment to test the framework.
16
17. Future Works of the Research
Properly utilize the given time period.
Perform all the formalities to get access of necessary
information to work on for the research.
Be sure of the required resources to conduct the research
and therefore collect them accordingly.
Revise and evaluate the research work time to time for better
correctness and appropriateness.
17
18. Conclusion
By completing the research we will discover about the security
threats that may corrupt the confidential information of university
automation system. We will do a comparative search among the
security frameworks and therefore we will propose a new model
that will be more efficient and effective to ensure data security of
university level large institution.
18
19. Bibliography
1. Laudon, Kenneth C., and Jane Price Laudon. Management Information
Systems: Managing the Digital Firm. Verlag Nicht Ermittelbar, 2014.
2. Thuraisingham, Dr. Bhavani. “Data and Applications Security: Developments
and Directions.” Annual International Computer Software and Applications
Conference , 2002.
3. Rajeswari, S. and R. Kalaiselvi. "Survey of Data and Storage Security in
Cloud Computing. "IEEE International Conference on Circuits and Systems
(2017):76-81.
4. Mindmajix. “List Of Cybersecurity Frameworks.” Mindmajix, Mindmajix
Technologies INC, 7 Sept. 2017, mindmajix.com/cyber-security-
frameworks
19
20. Bibliography
5. Aviel , Rubin D. and Geer Jr Daniel E. "A Survey of Web Security." IEEE
International Symposium on Advanced Research (1998): 34-41.
6. Craggs, Barnaby and Rashid Awais. "Smart Cyber-Physical Systems:
Beyond Usable." ACM 3rd International Workshop on Software
Engineering for Smart Cyber-Physical Systems (2017).
7. Nader, Sohrabi Safa, et al. "Information security collaboration formation
in organisations." IET Information Security (2018): 238-245. Document.
8. Wade , Baker H. and Wallace Linda. "Is Information Security Under
Control? Investigating Quality in Information Security Management."
IEEE COMPUTER SOCIETY (2007): 36-44. Document. 23 April 2019.
20
21. Bibliography
9. Rajeswari, S. and R. Kalaiselvi. "Survey of Data and Storage Security in
Cloud Computing." IEEE International Conference on Circuits and Systems
(2017): 76-81.
10.Techopedia. Cybersecurity. 10 March 2018. Online. 10 March 2019.
<https://www.techopedia.com/definition/24747/cybersecurity>.
11. Ward, R. and P Skeffington. "Network Management Security." IEEE
(1990): 173-180.
12.Wikipedia. Cyberspace. 13 February 2019. Digital. 10 March 2019.
<https://en.wikipedia.org/wiki/Cyberspace>.
13.Wikipedia.. Security. 6 March 2019. Online. 10 March 2019.
<https://en.wikipedia.org/wiki/Security>.
21