This document provides information about thesis topics related to traffic management and anomaly detection. It lists noteworthy ideas, uppermost topics, and the main structure of such a thesis. Noteworthy ideas include evaluating SVM kernels for detecting network anomalies and visualizing big data outliers through distributed aggregation. Suggested topics relate to visual analysis of collective anomalies, scheduling compressed sensing over wide spectrum bands, and causality countermeasures for anomaly detection in cyber-physical systems. The main structure outlined involves an abstract, introduction/literature review, problem statement, research methodologies, and conclusion.
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
Security issues and challenges in MANET,VANET and FANET: A SurveyDr.Irshad Ahmed Sumra
VANET and FANET are next generation network and due to safety applications more attractions for end users in these networks. In this slide, it will provide the survey on security issues and challenges in the field of MANET, VANET and FANET. The successful implementation of these networks in real environment, it is require the network will be secure and end user can take benefit from their life safety applications.
The system enables to instruct network devices on the actions to perform upon failure or degradations without querying a centralized controller. The system is suitable for use cases such as system margin reduction, white boxes, and OAM
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
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
Anomaly Detection using multidimensional reduction Principal Component AnalysisIOSR Journals
Anomaly detection has been an important research topic in data mining and machine learning. Many
real-world applications such as intrusion or credit card fraud detection require an effective and efficient
framework to identify deviated data instances. However, most anomaly detection methods are typically
implemented in batch mode, and thus cannot be easily extended to large-scale problems without sacrificing
computation and memory requirements. In this paper, we propose multidimensional reduction principal
component analysis (MdrPCA) algorithm to address this problem, and we aim at detecting the presence of
outliers from a large amount of data via an online updating technique. Unlike prior principal component
analysis (PCA)-based approaches, we do not store the entire data matrix or covariance matrix, and thus our
approach is especially of interest in online or large-scale problems. By using multidimensional reduction PCA
the target instance and extracting the principal direction of the data, the proposed MdrPCA allows us to
determine the anomaly of the target instance according to the variation of the resulting dominant eigenvector.
Since our MdrPCA need not perform eigen analysis explicitly, the proposed framework is favored for online
applications which have computation or memory limitations. Compared with the well-known power method for
PCA and other popular anomaly detection algorithms
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
Security issues and challenges in MANET,VANET and FANET: A SurveyDr.Irshad Ahmed Sumra
VANET and FANET are next generation network and due to safety applications more attractions for end users in these networks. In this slide, it will provide the survey on security issues and challenges in the field of MANET, VANET and FANET. The successful implementation of these networks in real environment, it is require the network will be secure and end user can take benefit from their life safety applications.
The system enables to instruct network devices on the actions to perform upon failure or degradations without querying a centralized controller. The system is suitable for use cases such as system margin reduction, white boxes, and OAM
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
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
Anomaly Detection using multidimensional reduction Principal Component AnalysisIOSR Journals
Anomaly detection has been an important research topic in data mining and machine learning. Many
real-world applications such as intrusion or credit card fraud detection require an effective and efficient
framework to identify deviated data instances. However, most anomaly detection methods are typically
implemented in batch mode, and thus cannot be easily extended to large-scale problems without sacrificing
computation and memory requirements. In this paper, we propose multidimensional reduction principal
component analysis (MdrPCA) algorithm to address this problem, and we aim at detecting the presence of
outliers from a large amount of data via an online updating technique. Unlike prior principal component
analysis (PCA)-based approaches, we do not store the entire data matrix or covariance matrix, and thus our
approach is especially of interest in online or large-scale problems. By using multidimensional reduction PCA
the target instance and extracting the principal direction of the data, the proposed MdrPCA allows us to
determine the anomaly of the target instance according to the variation of the resulting dominant eigenvector.
Since our MdrPCA need not perform eigen analysis explicitly, the proposed framework is favored for online
applications which have computation or memory limitations. Compared with the well-known power method for
PCA and other popular anomaly detection algorithms
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
SECURING BGP BY HANDLING DYNAMIC NETWORK BEHAVIOR AND UNBALANCED DATASETSIJCNCJournal
The Border Gateway Protocol (BGP) provides crucial routing information for the Internet infrastructure. A problem with abnormal routing behavior affects the stability and connectivity of the global Internet. The biggest hurdles in detecting BGP attacks are extremely unbalanced data set category distribution and the dynamic nature of the network. This unbalanced class distribution and dynamic nature of the network results in the classifier's inferior performance. In this paper we proposed an efficient approach to properly managing these problems, the proposed approach tackles the unbalanced classification of datasets by turning the problem of binary classification into a problem of multiclass classification. This is achieved by splitting the majority-class samples evenly into multiple segments using Affinity Propagation, where the number of segments is chosen so that the number of samples in any segment closely matches the minority-class samples. Such sections of the dataset together with the minor class are then viewed as different classes and used to train the Extreme Learning Machine (ELM). The RIPE and BCNET datasets are used to evaluate the performance of the proposed technique. When no feature selection is used, the proposed technique improves the F1 score by 1.9% compared to state-of-the-art techniques. With the Fischer feature selection algorithm, the proposed algorithm achieved the highest F1 score of 76.3%, which was a 1.7% improvement over the compared ones. Additionally, the MIQ feature selection technique improves the accuracy by 3.5%. For the BCNET dataset, the proposed technique improves the F1 score by 1.8% for the Fisher feature selection technique. The experimental findings support the substantial improvement in performance from previous approaches by the new technique.
Securing BGP by Handling Dynamic Network Behavior and Unbalanced DatasetsIJCNCJournal
The Border Gateway Protocol (BGP) provides crucial routing information for the Internet infrastructure. A problem with abnormal routing behavior affects the stability and connectivity of the global Internet. The biggest hurdles in detecting BGP attacks are extremely unbalanced data set category distribution and the dynamic nature of the network. This unbalanced class distribution and dynamic nature of the network results in the classifier's inferior performance. In this paper we proposed an efficient approach to properly managing these problems, the proposed approach tackles the unbalanced classification of datasets by turning the problem of binary classification into a problem of multiclass classification. This is achieved by splitting the majority-class samples evenly into multiple segments using Affinity Propagation, where the number of segments is chosen so that the number of samples in any segment closely matches the minority-class samples. Such sections of the dataset together with the minor class are then viewed as different classes and used to train the Extreme Learning Machine (ELM). The RIPE and BCNET datasets are used to evaluate the performance of the proposed technique. When no feature selection is used, the proposed technique improves the F1 score by 1.9% compared to state-of-the-art techniques. With the Fischer feature selection algorithm, the proposed algorithm achieved the highest F1 score of 76.3%, which was a 1.7% improvement over the compared ones. Additionally, the MIQ feature selection technique improves the accuracy by 3.5%. For the BCNET dataset, the proposed technique improves the F1 score by 1.8% for the Fisher feature selection technique. The experimental findings support the substantial improvement in performance from previous approaches by the new technique.
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
We all have good and bad thoughts from time to time and situation to situation. We are bombarded daily with spiraling thoughts(both negative and positive) creating all-consuming feel , making us difficult to manage with associated suffering. Good thoughts are like our Mob Signal (Positive thought) amidst noise(negative thought) in the atmosphere. Negative thoughts like noise outweigh positive thoughts. These thoughts often create unwanted confusion, trouble, stress and frustration in our mind as well as chaos in our physical world. Negative thoughts are also known as “distorted thinking”.
Instructions for Submissions thorugh G- Classroom.pptxJheel Barad
This presentation provides a briefing on how to upload submissions and documents in Google Classroom. It was prepared as part of an orientation for new Sainik School in-service teacher trainees. As a training officer, my goal is to ensure that you are comfortable and proficient with this essential tool for managing assignments and fostering student engagement.
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
The Art Pastor's Guide to Sabbath | Steve ThomasonSteve Thomason
What is the purpose of the Sabbath Law in the Torah. It is interesting to compare how the context of the law shifts from Exodus to Deuteronomy. Who gets to rest, and why?
Students, digital devices and success - Andreas Schleicher - 27 May 2024..pptxEduSkills OECD
Andreas Schleicher presents at the OECD webinar ‘Digital devices in schools: detrimental distraction or secret to success?’ on 27 May 2024. The presentation was based on findings from PISA 2022 results and the webinar helped launch the PISA in Focus ‘Managing screen time: How to protect and equip students against distraction’ https://www.oecd-ilibrary.org/education/managing-screen-time_7c225af4-en and the OECD Education Policy Perspective ‘Students, digital devices and success’ can be found here - https://oe.cd/il/5yV
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
2. networksimulationtools.com
PhD Guidance
MS Guidance
Assignment Help Homework Help
Network-Based on
Context intended
for Mobile Threat
Detection system
Evaluation of SVM
Kernels for
Detecting Network
Anomalies system
Visualizing Big Data
Outliers through
Distributed
Aggregation practice
Posteriori
Hyperspectral Anomaly
Detection for Unlabeled
Classification scheme
Online Estimation of
Steady-State Load
Models Considering
Data Anomalies scheme
Noteworthy Ideas in Traffic Management Thesis
Traffic Management – Anomaly Detection thesis noteworthy ideas are given by us for students,
3. networksimulationtools.com
CloudSim
Fogsim
PhD Guidance
MS Guidance
Assignment Help Homework Help
Visual Analysis of Collective
Anomalies Throughout in High-Order
Correlation Graph system
01
Scheduling of Collaborative
Sequential Compressed Sensing over
Wide Spectrum Band method
03
Causality Countermeasures
designed for Anomaly Detection into
Cyber-Physical Systems
05
Machine learning models on behalf
of wireless network monitoring and
analysis system
02
Cross layer-based on intrusion
detection used by network behavior
designed for IoT
04
Uppermost Topics in Traffic Management Thesis
We provide Traffic Management – Anomaly Detection thesis topics for research scholars as follows,
4. networksimulationtools.com
CloudSim
Fogsim
PhD Guidance
MS Guidance
Assignment Help Homework Help
Main Structure of Traffic Management Thesis
Following points are check over Traffic Management – Anomaly Detection thesis for academic students,
01
Abstract and Table of Contents
02
03
04
05
Introduction and Literature Review
Problem Statement / Formulation
Research Methodologies
Conclusion and Future Enhancements