Email is a basic service for computer users, while email malware poses critical security threats. The technique of email-borne malware will be highly effective. Email malware focuses on modeling the propagation dynamics which is a fundamental technique for developing countermeasures to reduce email malware’s spreading speed and prevalence. Modern email malware exhibits two new features, reinjection and self-start. Reinjection is an infected user sends out malware copies whenever this user visits the malicious hyperlinks or attachments. Self-start refers to the behavior that malware starts to spread whenever compromised computers restart or certain files are visited. For address this problem, to derive a novel difference equation based analytical model by introducing a new concept of virtual dirty user. Propose a new analytical model to enhanced OLSR protocol which is a trust based technique to secure the OLSR nodes against the attack. The proposed solution called EOLSR is an enhancement of the basic OLSR routing protocol, which will be able to detect the presence of malicious nodes in the network.
IEEE PROJECTS 2015
1 crore projects is a leading Guide for ieee Projects and real time projects Works Provider.
It has been provided Lot of Guidance for Thousands of Students & made them more beneficial in all Technology Training.
Dot Net
DOTNET Project Domain list 2015
1. IEEE based on datamining and knowledge engineering
2. IEEE based on mobile computing
3. IEEE based on networking
4. IEEE based on Image processing
5. IEEE based on Multimedia
6. IEEE based on Network security
7. IEEE based on parallel and distributed systems
Java Project Domain list 2015
1. IEEE based on datamining and knowledge engineering
2. IEEE based on mobile computing
3. IEEE based on networking
4. IEEE based on Image processing
5. IEEE based on Multimedia
6. IEEE based on Network security
7. IEEE based on parallel and distributed systems
ECE IEEE Projects 2015
1. Matlab project
2. Ns2 project
3. Embedded project
4. Robotics project
Eligibility
Final Year students of
1. BSc (C.S)
2. BCA/B.E(C.S)
3. B.Tech IT
4. BE (C.S)
5. MSc (C.S)
6. MSc (IT)
7. MCA
8. MS (IT)
9. ME(ALL)
10. BE(ECE)(EEE)(E&I)
TECHNOLOGY USED AND FOR TRAINING IN
1. DOT NET
2. C sharp
3. ASP
4. VB
5. SQL SERVER
6. JAVA
7. J2EE
8. STRINGS
9. ORACLE
10. VB dotNET
11. EMBEDDED
12. MAT LAB
13. LAB VIEW
14. Multi Sim
CONTACT US
1 CRORE PROJECTS
Door No: 214/215,2nd Floor,
No. 172, Raahat Plaza, (Shopping Mall) ,Arcot Road, Vadapalani, Chennai,
Tamin Nadu, INDIA - 600 026
Email id: 1croreprojects@gmail.com
website:1croreprojects.com
Phone : +91 97518 00789 / +91 72999 51536
These days considering expansion of networks, dissemination of information has become one of significant cases for researchers. In social networks in addition to social structures and people effectiveness on each other, Profit increase of sales, publishing a news or rumor, spread or diffusion of an idea can be mentioned. In social societies, people affect each other and with an individual’s membership, his friends
may join that group as well. In publishing a piece of news, independent of its nature there are different ways to expand it. Since information isn’t always suitable and positive, this article is trying to introduce the immunization mechanism against this information. The meaning of immunization is a kind of Slow Publishing of such information in network. Therefor it has been tried in this article to slow down the
publishing of information or even stop them. With comparison of presented methods for immunization and also presenting rate delay parameter, the immunization of methods were evaluated and we identified the most effective immunization method. Among existing methods for immunization and recommended methods, recommended methods also have an effective role in preventing spread of malicious rumor.
JPJ1451 Optimal Distributed Malware Defense in Mobile Networks with Heteroge...chennaijp
We are good IEEE java projects development center in Chennai and Pondicherry. We guided advanced java technologies projects of cloud computing, data mining, Secure Computing, Networking, Parallel & Distributed Systems, Mobile Computing and Service Computing (Web Service).
For More Details:
http://jpinfotech.org/final-year-ieee-projects/2014-ieee-projects/java-projects/
Self-propagating malware (e.g., an Internet worm) exploits security loopholes in software to infect servers and then use them to scan the Internet for more vulnerable servers. While the mechanisms of worm infection and their propagation models are well understood, defense against worms remains an open problem. One branch of defense research investigates the behavioral difference between worm-infected hosts and normal hosts to set them apart. One particular observation is that a worm-infected host, which scans the Internet with randomly selected addresses, has a much higher connection-failure rate than a normal host. Rate-limit algorithms have been proposed to control the spread of worms by traffic shaping based on connection failure rate. However, these rate-limit algorithms can work properly only if it is possible to measure failure rates of individual hosts efficiently and accurately. This paper points out a serious problem in the prior method. To address this problem, we first propose a solution based on a highly efficient double-bitmap data structure, which places only a small memory footprint on the routers, while providing good measurement of connection failure rates whose accuracy can be tuned by system parameters. Furthermore, we propose another solution based on shared register array data structure, achieving better memory efficiency and much larger estimation range than our double-bitmap solution.
IEEE PROJECTS 2015
1 crore projects is a leading Guide for ieee Projects and real time projects Works Provider.
It has been provided Lot of Guidance for Thousands of Students & made them more beneficial in all Technology Training.
Dot Net
DOTNET Project Domain list 2015
1. IEEE based on datamining and knowledge engineering
2. IEEE based on mobile computing
3. IEEE based on networking
4. IEEE based on Image processing
5. IEEE based on Multimedia
6. IEEE based on Network security
7. IEEE based on parallel and distributed systems
Java Project Domain list 2015
1. IEEE based on datamining and knowledge engineering
2. IEEE based on mobile computing
3. IEEE based on networking
4. IEEE based on Image processing
5. IEEE based on Multimedia
6. IEEE based on Network security
7. IEEE based on parallel and distributed systems
ECE IEEE Projects 2015
1. Matlab project
2. Ns2 project
3. Embedded project
4. Robotics project
Eligibility
Final Year students of
1. BSc (C.S)
2. BCA/B.E(C.S)
3. B.Tech IT
4. BE (C.S)
5. MSc (C.S)
6. MSc (IT)
7. MCA
8. MS (IT)
9. ME(ALL)
10. BE(ECE)(EEE)(E&I)
TECHNOLOGY USED AND FOR TRAINING IN
1. DOT NET
2. C sharp
3. ASP
4. VB
5. SQL SERVER
6. JAVA
7. J2EE
8. STRINGS
9. ORACLE
10. VB dotNET
11. EMBEDDED
12. MAT LAB
13. LAB VIEW
14. Multi Sim
CONTACT US
1 CRORE PROJECTS
Door No: 214/215,2nd Floor,
No. 172, Raahat Plaza, (Shopping Mall) ,Arcot Road, Vadapalani, Chennai,
Tamin Nadu, INDIA - 600 026
Email id: 1croreprojects@gmail.com
website:1croreprojects.com
Phone : +91 97518 00789 / +91 72999 51536
These days considering expansion of networks, dissemination of information has become one of significant cases for researchers. In social networks in addition to social structures and people effectiveness on each other, Profit increase of sales, publishing a news or rumor, spread or diffusion of an idea can be mentioned. In social societies, people affect each other and with an individual’s membership, his friends
may join that group as well. In publishing a piece of news, independent of its nature there are different ways to expand it. Since information isn’t always suitable and positive, this article is trying to introduce the immunization mechanism against this information. The meaning of immunization is a kind of Slow Publishing of such information in network. Therefor it has been tried in this article to slow down the
publishing of information or even stop them. With comparison of presented methods for immunization and also presenting rate delay parameter, the immunization of methods were evaluated and we identified the most effective immunization method. Among existing methods for immunization and recommended methods, recommended methods also have an effective role in preventing spread of malicious rumor.
JPJ1451 Optimal Distributed Malware Defense in Mobile Networks with Heteroge...chennaijp
We are good IEEE java projects development center in Chennai and Pondicherry. We guided advanced java technologies projects of cloud computing, data mining, Secure Computing, Networking, Parallel & Distributed Systems, Mobile Computing and Service Computing (Web Service).
For More Details:
http://jpinfotech.org/final-year-ieee-projects/2014-ieee-projects/java-projects/
Self-propagating malware (e.g., an Internet worm) exploits security loopholes in software to infect servers and then use them to scan the Internet for more vulnerable servers. While the mechanisms of worm infection and their propagation models are well understood, defense against worms remains an open problem. One branch of defense research investigates the behavioral difference between worm-infected hosts and normal hosts to set them apart. One particular observation is that a worm-infected host, which scans the Internet with randomly selected addresses, has a much higher connection-failure rate than a normal host. Rate-limit algorithms have been proposed to control the spread of worms by traffic shaping based on connection failure rate. However, these rate-limit algorithms can work properly only if it is possible to measure failure rates of individual hosts efficiently and accurately. This paper points out a serious problem in the prior method. To address this problem, we first propose a solution based on a highly efficient double-bitmap data structure, which places only a small memory footprint on the routers, while providing good measurement of connection failure rates whose accuracy can be tuned by system parameters. Furthermore, we propose another solution based on shared register array data structure, achieving better memory efficiency and much larger estimation range than our double-bitmap solution.
Copyright Protection in Peer To Peer NetworkIJERA Editor
Recently, P2P technology has become so popular that a large number of files are being exchanged by millions of users concurrently. However, due to the significant growth of P2P file sharing, even copyrighted files are also actively exchanged so copyright infringement has become a serious issue. In particular, P2P file sharing is recognized as a killer application for the P2P technology, and several P2P file sharing systems have been used by many users from the late 90’s to the present, including Napster, Gnutella, Kazaa and Bit Torrent. However, the popularization of such P2P file sharing causes several undesired issues in recent years, such as the illegal sharing of copyrighted contents violating the copyright law and the act as a hotbed of cyber-crimes such as phishing scams and leaks of personal information. In this work, we propose a solution to ensure copy right violation in P2P systems. Keywords- Peer to Peer systems, copyright infringement, file sharing, digital rights management, pollution attack, index poisoning, watermarking and fingerprinting.
EMAIL SPAM CLASSIFICATION USING HYBRID APPROACH OF RBF NEURAL NETWORK AND PAR...IJNSA Journal
Email is one of the most popular communication media in the current century; it has become an effective
and fast method to share and information exchangeall over the world. In recent years, emails users are
facing problem which is spam emails. Spam emails are unsolicited, bulk emails are sent by spammers. It
consumes storage of mail servers, waste of time and consumes network bandwidth.Many methods used for
spam filtering to classify email messages into two groups spam and non-spam. In general, one of the most
powerful tools used for data classification is Artificial Neural Networks (ANNs); it has the capability of
dealing a huge amount of data with high dimensionality in better accuracy. One important type of ANNs is
the Radial Basis Function Neural Networks (RBFNN) that will be used in this work to classify spam
message. In this paper, we present a new approach of spam filtering technique which combinesRBFNN and
Particles Swarm Optimization (PSO) algorithm (HC-RBFPSO). The proposed approach uses PSO
algorithm to optimize the RBFNN parameters, depending on the evolutionary heuristic search process of
PSO. PSO use to optimize the best position of the RBFNN centers c. The Radii r optimize using K-Nearest
Neighbors algorithmand the weights w optimize using Singular Value Decomposition algorithm within
each iterative process of PSO depending the fitness (error) function. The experiments are conducted on
spam dataset namely SPAMBASE downloaded from UCI Machine Learning Repository. The experimental
results show that our approach is performed in accuracy compared with other approaches that use the
same dataset.
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
Study on security and quality of service implementations in p2 p overlay netw...eSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
DOTNET 2013 IEEE MOBILECOMPUTING PROJECT Vampire attacks draining life from w...IEEEGLOBALSOFTTECHNOLOGIES
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
Standard radar detection process requires that the sensor output is compared to a predetermined threshold. The
threshold is selected based on a-priori knowledge available and/or certain assumptions. However, any
knowledge and/or assumptions become in adequate due to the presence of multiple targets with varying signal
return and usually non stationary background. Thus, any predetermined threshold may result in either increased
false alarm rate or increased track loss. Even approaches where the threshold is adaptively varied will not
perform well in situations when the signal return from the target of interest is too low compared to the average
level of the background .Track-before-detect techniques eliminate the need for a detection threshold and provide
detecting and tracking targets with lower signal-to-noise ratios than standard methods. However, although trackbefore-
detect techniques eliminate
the need for detection threshold at sensor's signal processing stage, they often use tuning thresholds at the output
of the filtering stage .This paper presents a computerized simulation model for target detection process.
Moreover, the proposed model method is based on the target motion models, the output of the detection
process can easily be employed for maneuvering target tracking.
Copyright Protection in Peer To Peer NetworkIJERA Editor
Recently, P2P technology has become so popular that a large number of files are being exchanged by millions of users concurrently. However, due to the significant growth of P2P file sharing, even copyrighted files are also actively exchanged so copyright infringement has become a serious issue. In particular, P2P file sharing is recognized as a killer application for the P2P technology, and several P2P file sharing systems have been used by many users from the late 90’s to the present, including Napster, Gnutella, Kazaa and Bit Torrent. However, the popularization of such P2P file sharing causes several undesired issues in recent years, such as the illegal sharing of copyrighted contents violating the copyright law and the act as a hotbed of cyber-crimes such as phishing scams and leaks of personal information. In this work, we propose a solution to ensure copy right violation in P2P systems. Keywords- Peer to Peer systems, copyright infringement, file sharing, digital rights management, pollution attack, index poisoning, watermarking and fingerprinting.
EMAIL SPAM CLASSIFICATION USING HYBRID APPROACH OF RBF NEURAL NETWORK AND PAR...IJNSA Journal
Email is one of the most popular communication media in the current century; it has become an effective
and fast method to share and information exchangeall over the world. In recent years, emails users are
facing problem which is spam emails. Spam emails are unsolicited, bulk emails are sent by spammers. It
consumes storage of mail servers, waste of time and consumes network bandwidth.Many methods used for
spam filtering to classify email messages into two groups spam and non-spam. In general, one of the most
powerful tools used for data classification is Artificial Neural Networks (ANNs); it has the capability of
dealing a huge amount of data with high dimensionality in better accuracy. One important type of ANNs is
the Radial Basis Function Neural Networks (RBFNN) that will be used in this work to classify spam
message. In this paper, we present a new approach of spam filtering technique which combinesRBFNN and
Particles Swarm Optimization (PSO) algorithm (HC-RBFPSO). The proposed approach uses PSO
algorithm to optimize the RBFNN parameters, depending on the evolutionary heuristic search process of
PSO. PSO use to optimize the best position of the RBFNN centers c. The Radii r optimize using K-Nearest
Neighbors algorithmand the weights w optimize using Singular Value Decomposition algorithm within
each iterative process of PSO depending the fitness (error) function. The experiments are conducted on
spam dataset namely SPAMBASE downloaded from UCI Machine Learning Repository. The experimental
results show that our approach is performed in accuracy compared with other approaches that use the
same dataset.
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
Study on security and quality of service implementations in p2 p overlay netw...eSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
DOTNET 2013 IEEE MOBILECOMPUTING PROJECT Vampire attacks draining life from w...IEEEGLOBALSOFTTECHNOLOGIES
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
Standard radar detection process requires that the sensor output is compared to a predetermined threshold. The
threshold is selected based on a-priori knowledge available and/or certain assumptions. However, any
knowledge and/or assumptions become in adequate due to the presence of multiple targets with varying signal
return and usually non stationary background. Thus, any predetermined threshold may result in either increased
false alarm rate or increased track loss. Even approaches where the threshold is adaptively varied will not
perform well in situations when the signal return from the target of interest is too low compared to the average
level of the background .Track-before-detect techniques eliminate the need for a detection threshold and provide
detecting and tracking targets with lower signal-to-noise ratios than standard methods. However, although trackbefore-
detect techniques eliminate
the need for detection threshold at sensor's signal processing stage, they often use tuning thresholds at the output
of the filtering stage .This paper presents a computerized simulation model for target detection process.
Moreover, the proposed model method is based on the target motion models, the output of the detection
process can easily be employed for maneuvering target tracking.
Grasp and Manipulation of Five Fingered Hand Robot in Unstructured EnvironmentsIJERA Editor
Handling of objects with irregular shapes and that of flexible/soft objects by ordinary robot grippers is difficult. It is required that various objects with different shapes or sizes could be grasped and manipulated by one robot hand mechanism for the sake of factory automation and labor saving. Dexterous grippers will be the appropriate solution to such problems. Corresponding to such needs, the present work is towards the design and development of an articulated mechanical hand with five fingers and twenty five degrees-of-freedom having an improved grasp capability. Since the designed hand is capable of enveloping and grasping an object mechanically, it can be conveniently used in manufacturing automation as well as for medical rehabilitation purpose. This work presents the kinematic design and the grasping analysis of such a hand.
Intrusion Detection System using Self Organizing Map: A SurveyIJERA Editor
Due to usage of computer every field, Network Security is the major concerned in today’s scenario. Every year the number of users and speed of network is increasing, along with it online fraud or security threats are also increasing. Every day a new attack is generated to harm the system or network. It is necessary to protect the system or networks from various threats by using Intrusion Detection System which can detect “known” as well as “unknown” attack and generate alerts if any unusual behavior in the traffic. There are various approaches for IDS, but in this paper, survey is focused on IDS using Self Organizing Map. SOM is unsupervised, fast conversion and automatic clustering algorithm which is able to handle novelty detection. The main objective of the survey is to find and address the current challenges of SOM. Our survey shows that the existing IDS based on SOM have poor detection rate for U2R and R2L attacks. To improve it, proper normalization technique should be used. During the survey we also found that HSOM and GHSOM are advance model of SOM which have their own unique feature for better performance of IDS. GHSOM is efficient due to its low computation time. This survey is beneficial to design and develop efficient SOM based IDS having less computation time and better detection rate.
A review paper on Optimization of process parameter of EDM for air hardening ...IJERA Editor
EDM is now more economical non convectional machining process. It is used widely used on small scale as well major industries. EDM process is affect by so many process parameter which are electrical and non electrical. In this project work the rotating tool is used to improve the Metal removal rate (MRR) and to observe its effect on surface finish. I am using Taguchi’s method as a design of experiments and response surface methodology for analysis and optimization. The machining parameters selected as a variables are pulse off time, pulse on time, servo voltage. The output measurement include MRR and surface roughness.
X-ware: a proof of concept malware utilizing artificial intelligenceIJECEIAES
Recent years have witnessed a dramatic growth in utilizing computational intelligence techniques for various domains. Coherently, malicious actors are expected to utilize these techniques against current security solutions. Despite the importance of these new potential threats, there remains a paucity of evidence on leveraging these research literature techniques. This article investigates the possibility of combining artificial neural networks and swarm intelligence to generate a new type of malware. We successfully created a proof of concept malware named X-ware, which we tested against the Windows-based systems. Developing this proof of concept may allow us to identify this potential threat’s characteristics for developing mitigation methods in the future. Furthermore, a method for recording the virus’s behavior and propagation throughout a file system is presented. The proposed virus prototype acts as a swarm system with a neural network-integrated for operations. The virus’s behavioral data is recorded and shown under a complex network format to describe the behavior and communication of the swarm. This paper has demonstrated that malware strengthened with computational intelligence is a credible threat. We envisage that our study can be utilized to assist current and future security researchers to help in implementing more effective countermeasures.
Malware is pervasive in networks, and poses a critical threat to network security. However, we have very limited understanding of malware behavior in networks to date.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Malware is pervasive in networks, and poses a critical threat to network security. However, we have very limited understanding of malware behavior in networks to date. In this paper, we investigate how malware propagate in networks from a global perspective.
Optimised malware detection in digital forensicsIJNSA Journal
On the Internet, malware is one of the most serious threats to system security. Most complex issues and
problems on any systems are caused by malware and spam. Networks and systems can be accessed and
compromised by malware known as botnets, which compromise other systems through a coordinated
attack. Such malware uses anti-forensic techniques to avoid detection and investigation. To prevent systems
from the malicious activity of this malware, a new framework is required that aims to develop an optimised
technique for malware detection. Hence, this paper demonstrates new approaches to perform malware
analysis in forensic investigations and discusses how such a framework may be developed.
Similar to Secure and Reliable Data Transmission in Generalized E-Mail (20)
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
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.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
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.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
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Secure and Reliable Data Transmission in Generalized E-Mail
1. M.Vijayapriya et al. Int. Journal of Engineering Research and Applications www.ijera.com
ISSN : 2248-9622, Vol. 4, Issue 12( Part 6), December 2014, pp.192-196
www.ijera.com 192|P a g e
Secure and Reliable Data Transmission in Generalized E-Mail
1#
M.Vijayapriya,PG Scholar,2#
N.Anandh,Assistant Professor
3#
B.Gohila vani,PG Scholar,4#
A.Selvaraj,Assistant Professor
Department of CSE,Anna University
Muthayammal Engineering College,Namakkal-637 408
Abstract
Email is a basic service for computer users, while email malware poses critical security threats. The technique of
email-borne malware will be highly effective. Email malware focuses on modeling the propagation dynamics
which is a fundamental technique for developing countermeasures to reduce email malware’s spreading speed
and prevalence. Modern email malware exhibits two new features, reinjection and self-start. Reinjection is an
infected user sends out malware copies whenever this user visits the malicious hyperlinks or attachments. Self-
start refers to the behavior that malware starts to spread whenever compromised computers restart or certain
files are visited. For address this problem, to derive a novel difference equation based analytical model by
introducing a new concept of virtual dirty user. Propose a new analytical model to enhanced OLSR protocol
which is a trust based technique to secure the OLSR nodes against the attack. The proposed solution called
EOLSR is an enhancement of the basic OLSR routing protocol, which will be able to detect the presence of
malicious nodes in the network.
Keywords: Network security, email malware, propagation modeling
I. INTRODUCTION
Malware short for malicious software, is any
software used to disrupt computer operation, gather
sensitive information, or gain access to private
computer systems. It can appear in the form of
executable code, scripts, active content, and other
software. With the escalating growth of
communication and information systems, a new term
and acronym invaded the digital world called as
malware. It is a general term, which stands for
malicious software and has many shapes (codes,
scripts, active content and others). It has been
designed to achieve some targets such as, collecting
sensitive data, accessing private computer systems,
even sometimes harming the systems. The malware
can reach the systems in different ways and through
multiple media; the most common way is the
downloading process from the internet, once the
malware finds its way to the systems, based on the
functions of the malware the drama will begin.
II. RELATED WORK
In [1] C.C. Zou, D. Towsley, and W. Gong et al
presents for there an electronic mail worm imitation
replica that the books for the behaviors of
correspondence users, counting email examination
time and the likelihood of aperture and
communication superfluous. Our annotations of
news item lists recommend that an Internet send
arrangement follows a heavy-tailed allocation in
stipulations of swelling degrees, and facsimile it as
an influence law friendship. To modify the
topological collision, we evaluate message larva
broadcast on power law topology with maggot
dissemination on two other topologies: small planet
topology and accidental grid topology.
In [2] S. Wen, W. Zhou, Y. Wang, W. Zhou et al
presents A familiar examination for the preferable
positions o awkward worm dissemination is at the
greatly coupled nodes. To appraise the cause on
uncomfortable maggot broadcasting by quarantining
firm nodes, we recommend an illustration to
symbolize the scattering practice of topological
worms. Firstly, a communicable swelling can
proliferate worms, and a susceptible user can be
contaminated and turn into a novel communicable
bump.
In [3] Y. Wang, S. Wen, S. Cesare et al presents
Research on larva broadcast has been conducted for
more than a decade. However, customary models
misjudge the scale of the tainted net that leads to
proliferation errors because of partial and mistaken
psychotherapy of the circulation course of action
between each pair of nodes in the complex. For
focus on analyzing the shape of broadcast errors and
examined the collision of eliminating errors on the
proliferation practice on two unusual types of
worms. We encompass revealed by simulations that
errors augment as added dissemination cycles are
bent and quantified the errors under special
transmission scenarios
RESEARCH ARTICLE OPEN ACCESS
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In [4] S.M. Cheng, W.C. Ao, P.Y. Chen et al
presents A amalgam malware on elegant phones can
be propagated by both end-to-end messaging
military via delicate social transportation and short-
range wireless communiqué navy via spatial social
interactions. stimulated from epidemiology, propose
a novel differential equation-based model to analyze
the mixed behaviors of delocalized infection and
ripple based propagation for the hybrid malware in
generalized social networks consisting of personal
and spatial social relations.
In [5] R. Thommes and M. Coates et al presents the
fame of peer-to-peer (P2P) networks makes them an
gorgeous objective to the creators of viruses and
extra malevolent regulations. Freshly a amount of
viruses premeditated explicitly to widen via P2P
networks boast emerged. Toxic waste has also
turned into ever more widespread as patent holders
inject multiple decoy versions in order to hinder
entry allotment. In this manuscript gain deterministic
epidemiological models for the transmission of a
P2P germ during a P2P network and the spreading of
effluence.
III. P2P MODEL NETWORK
The recommend geometric models, which have
capture the truthful topological in sequence. The
sequential dynamics and the spatial dependence
dilemma in the propagation modeling. nevertheless,
all these model cannot present the reinfection and
self-start process of up to date email malware. Their
moving parts study the final stable state of epidemic
spread based on SIS models, whereas we study the
transient propagation dynamics of modern email
malware. Second, there are some works which
characterize the propagation dynamics of isomorphic
malware, such as P2P malware, mobile malware and
malware on online social networks. The differential
equations to present the propagation of P2P malware
through a P2P network. The models are proposed for
the mobile environment by presuming nodes meet
each other with a probability. These works assume
all individual devices are homogeneously mixed,
and thus, they are unlikely to work in the real mobile
environment. The models present the propagation of
online social malware by simulations. Since these
models are based on non reinfection, they cannot be
adopted to present the propagation of modern email
malware.
IV. EXISTING SYSTEM
These observations become the motivation of
work to develop a new analytical model that can
precisely present the propagation dynamics of the
modern email malware. The spreading procedure
can be characterized by a Susceptible-Infected-
Immunized (SII) process.
The major contributions of this paper are listed
below:
To introduce a new concept of virtual nodes to
address the underestimation in previous work, which
can represent the situation of a user sending out one
more round of malware copies each time this user
gets infected.Perform empirical and theoretical study
to investigate why and how the proposed SII model
is superior to existing models. Modern email
malware exhibits two new features, reinfection and
self-start. For address this problem, to derive a novel
difference equation based analytical model by
introducing a new concept of virtual infected user.
A new analytical model to capture the
interactions among the infected email users by a set
of difference equations, which is together describe
the overall propagation of the modern email
malware. The proposed a novel SII model for the
propagation of modern email malware.
This model is able to address two critical
processes unsolved in previous models: the
reinfection and the self-start. By introducing a
group of difference equations and virtual nodes, it
presented the repetitious spreading processes caused
by the reinfection and the self-start.
4.1 LIMITATIONS
It is malicious software
Does not achieve greater accuracy
Malware called topological scanning
malware that spread based on topology
information
V. PROPOSED SYSTEM
Analyzing the attack, propose a mechanism
called enhanced OLSR (EOLSR) protocol which is a
trust based technique to secure the OLSR nodes
against the attack. The proposed solution called
EOLSR is an enhancement of the basic OLSR
routing protocol, which will be able to detect the
presence of malicious nodes in the network. In
proposed system assumes that all the nodes are
authenticated and can participate in communication
i.e., all nodes are authorized nodes. In our protocol is
able to achieve routing security with increase in
packet delivery ratio and reduction in packet loss
rate.
The Optimized Link State Routing Protocol
(OLSR) is an IP routing protocol optimized for
mobile ad hoc networks, which can also be used on
other wireless ad hoc networks. OLSR is a proactive
link-state routing protocol, which uses hello and
Topology Control (TC) messages to discover and
then disseminate link state information throughout
the mobile ad hoc network.
Individual nodes use this topology information
to compute next hop destinations for all nodes in the
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network using shortest hop forwarding paths.Link-
state routing protocols such as Open Shortest Path
First (OSPF) and IS-IS select a designated router on
every link to perform flooding of topology
information. In wireless ad hoc networks, there is
different notion of a link, packets can and do go out
the same interface; hence, a different approach is
needed in order to optimize the flooding process.
Using Hello messages the OLSR protocol at each
node discovers 2-hop neighbor information and
performs a distributed election of a set of multipoint
relays (MPRs). Nodes select MPRs such that there
exist a path to each of its 2-hop neighbors via a node
selected as an MPR. These MPR nodes then source
and forward TC messages that contain the MPR
selectors.
This functioning of MPRs makes OLSR unique
from other link state routing protocols in a few
different ways: The forwarding path for TC
messages is not shared among all nodes but varies
depending on the source, only a subset of nodes
source link state information, not all links of a node
are advertised but only those that represent MPR
selections.Since link-state routing requires the
topology database to be synchronized across the
network, OSPF and IS-IS perform topology flooding
using a reliable algorithm. Such an algorithm is very
difficult to design for ad hoc wireless networks, so
OLSR doesn't bother with reliability; it simply
floods topology data often enough to make sure that
the database does not remain unsynchronized for
extended periods of time.
5.1 Network Formation
It consist of a set of nodes .Each and every
node should have some kinds of ID, which is like
N1, N2,…and Nn. Each node communicate with
another rnode.all the nodes are authenticated
5.2 Attacker Performance
Malware to disrupt computer operation, gather
sensitive information, or gain access to private
computer systems. For modern email malware, recall
that a compromised user may send out malware
email copies to neighbors every time the user visits
those malware hyperlinks or attachments.
SYSTEM ARCHITECTURE:
Fig 5:system architecture
5.3 Data Transfer Through the Virtual Node
Virtual node can represent the situation of a user
sending out one more round of malware copies each
time this user gets infected. In order to represent the
repetitious spreading process of the reinfection and
the self-start, introduce virtual nodes to present the
infection caused by infected users opening the
malware email copy.
5.4 Detection of Attackers
To analyze the vulnerabilities of a pro-active
routing protocol called optimized link state routing
(OLSR) against a specific type of denial-of-service
(DOS) attack called node isolation attack. Analyzing
the attack, propose a mechanism called enhanced
OLSR (EOLSR) protocol which is a trust based
technique to secure the OLSR nodes against the
attack. The technique is capable of finding whether a
Social
networks
Email
Malware
Reinfection Self-start
Malware behavior Malware starts to
spread malware copies
Disturb the
computer
operation
Email malware exhibits
two new features
Susceptible infected
immunized (SII) process
Capture the
Interactions among the
infected email users
Estimation accuracy
To introduce OLSR
protocol for secure the
node against the attack
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node is advertising correct topology information or
not by verifying its Hello packets, thus detecting
node isolation attacks.
PERFORMANCE EVALUATION
VI. CONCLUSION
Susceptible-Infected-Susceptible (SII) model for
the propagation of modern email malware and is
used to address two critical processes unsolved in
previous models: the reinfection and the self-start.
The experiments showed that the result of Optimal
Link State Routing Protocol (OLSR) model is close
to the simulations. Propose a new analytical model
to enhanced OLSR protocol which is a trust based
technique to secure the OLSR nodes against the
attack. The proposed solution called EOLSR is an
enhancement of the basic OLSR routing protocol,
which will be able to detect the presence of
malicious nodes in the network.
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