3,987 research outputs found
Study and analysis of IP phones
No full textIP phones is widely used in corporate sector. So it is not always necessary that IP phones work effectively all the time. Various issues can hinder the proper working of the IP phones. The most severe issue that lies with the IP phones is that the Vlan is not created so there is a need to update the configuration. This can be done by checking the network configuration in settings of the IP phone. The other two defects that lies with the IP phone is the display and power on issue . As the name suggests display issue means that there is a vague hindered data displayed on the screen and the power on issue suggests that there is a power on issue. These issues can be solved if there is a proper knowledge of networking.The attached data is the flowchart how the issues regarding IP phones can be solved and as a case study 31 IP phones from a corporate organization is studied and analyzed
IMS: The New Generation of Internet-Protocol-Based Multimedia Services
No full textLegacy networks, both fixed and mobile, which were originally designed for voice communications, are progressively migrating to new infrastructures that promise to revolutionize the services offered. In this paper, we will cover this new generation of personal communication services, with an emphasis on the family of Internet protocol (IP)-based multimedia subsystem (IMS)-aided infrastructure that relies on the session initiation protocol (SIP). As a benefit, the end users will enjoy a new generation of personal communications services that are accessible anywhere and anytime. These services are timedia subsystem (IMS)-aided infrastructure that relies on the directly related to the end users rather than to their diverse devices. It is anticipated that the new deployments of next-of the IMS technology. generation networks (all-IP based) will accelerate the adoptio
Perceptions of intellectual property: a review
No full textIn “The right to good ideas: patents and the poor”, The Economist depicts two driving forces in the contemporary discourse on IP and globalization. The one is interested in advancing the knowledge economy, an approach based on the belief that knowledge is the driving factor behind economic growth. The other resides on a belief that IP is a major means to advance the process of globalization. While the former is strongly motivated by new economic growth theory, as for example advanced by Stanford professor Paul Romer, the latter is based on typical anti-globalization arguments, such as for example the position that the IP system helps multinational companies to build up monopolies to the detriment of the poor, drives small and medium-sized enterprises (SMEs) and local business in developing countries out of business and increases prices for consumer products, be they pharmaceuticals or software. The purpose of this review is to help understand the current discourse on intellectual property, to grasp underlying themes, assumptions and connotations associated with the term “IP”, so as to identify paths leading to a more comprehensive understanding of IP and the opportunities and pitfalls it may provide
Efficient Learning of Communication Profiles from IP Flow Records
No full textThe task of network traffic monitoring has evolved drastically with the ever-increasing amount of data flowing in large scale networks. The automated analysis of this tremendous source of information often comes with using simpler models on aggregated data (e.g. IP flow records) due to time and space constraints. A step towards utilizing IP flow records more effectively are stream learning techniques. We propose a method to collect a limited yet relevant amount of data in order to learn a class of complex models, finite state machines, in real-time. These machines are used as communication profiles to fingerprint, identify or classify hosts and services and offer high detection rates while requiring less training data and thus being faster to compute than simple models.Accepted author manuscriptCyber Securit
Study and analysis of IP phones
No full textIP phones is widely used in corporate sector. So it is not always necessary that IP phones work effectively all the time. Various issues can hinder the proper working of the IP phones. The most severe issue that lies with the IP phones is that the Vlan is not created so there is a need to update the configuration. This can be done by checking the network configuration in settings of the IP phone. The other two defects that lies with the IP phone is the display and power on issue . As the name suggests display issue means that there is a vague hindered data displayed on the screen and the power on issue suggests that there is a power on issue. These issues can be solved if there is a proper knowledge of networking.The attached data is the flowchart how the issues regarding IP phones can be solved and as a case study 31 IP phones from a corporate organization is studied and analyzed
Study and analysis of IP phones
No full textIP phones is widely used in corporate sector. So it is not always necessary that IP phones work effectively all the time. Various issues can hinder the proper working of the IP phones. The most severe issue that lies with the IP phones is that the Vlan is not created so there is a need to update the configuration. This can be done by checking the network configuration in settings of the IP phone. The other two defects that lies with the IP phone is the display and power on issue . As the name suggests display issue means that there is a vague hindered data displayed on the screen and the power on issue suggests that there is a power on issue. These issues can be solved if there is a proper knowledge of networking.The attached data is the flowchart how the issues regarding IP phones can be solved and as a case study 31 IP phones from a corporate organization is studied and analyzed
Delay-oriented active queue management in TCP/IP networks
No full textPhDInternet-based applications and services are pervading everyday life. Moreover, the growing
popularity of real-time, time-critical and mission-critical applications set new challenges to
the Internet community. The requirement for reducing response time, and therefore latency
control is increasingly emphasized.
This thesis seeks to reduce queueing delay through active queue management. While
mathematical studies and research simulations reveal that complex trade-off relationships
exist among performance indices such as throughput, packet loss ratio and delay, etc., this
thesis intends to find an improved active queue management algorithm which emphasizes
delay control without trading much on other performance indices such as throughput and
packet loss ratio.
The thesis observes that in TCP/IP network, packet loss ratio is a major reflection of
congestion severity or load. With a properly functioning active queue management algorithm,
traffic load will in general push the feedback system to an equilibrium point in terms of
packet loss ratio and throughput. On the other hand, queue length is a determinant factor on
system delay performance while has only a slight influence on the equilibrium. This
observation suggests the possibility of reducing delay while maintaining throughput and
packet loss ratio relatively unchanged.
The thesis also observes that queue length fluctuation is a reflection of both load changes and
natural fluctuation in arriving bit rate. Monitoring queue length fluctuation alone cannot
distinguish the difference and identify congestion status; and yet identifying this difference is
crucial in finding out situations where average queue size and hence queueing delay can be
properly controlled and reasonably reduced. However, many existing active queue
management algorithms only monitor queue length, and their control policies are solely
based on this measurement. In our studies, our novel finding is that the arriving bit rate
distribution of all sources contains information which can be a better indication of
congestion status and has a correlation with traffic burstiness. And this thesis develops a
simple and scalable way to measure its two most important characteristics, namely the mean
ii
and the variance of the arriving rate distribution. The measuring mechanism is based on a
Zombie List mechanism originally proposed and deployed in Stabilized RED to estimate the
number of flows and identify misbehaving flows. This thesis modifies the original zombie
list measuring mechanism, makes it capable of measuring additional variables. Based on
these additional measurements, this thesis proposes a novel modification to the RED
algorithm. It utilizes a robust adaptive mechanism to ensure that the system reaches proper
equilibrium operating points in terms of packet loss ratio and queueing delay under various
loads. Furthermore, it identifies different congestion status where traffic is less bursty and
adapts RED parameters in order to reduce average queue size and hence queueing delay
accordingly.
Using ns-2 simulation platform, this thesis runs simulations of a single bottleneck link
scenario which represents an important and popular application scenario such as home
access network or SoHo. Simulation results indicate that there are complex trade-off
relationships among throughput, packet loss ratio and delay; and in these relationships delay
can be substantially reduced whereas trade-offs on throughput and packet loss ratio are
negligible. Simulation results show that our proposed active queue management algorithm
can identify circumstances where traffic is less bursty and actively reduce queueing delay
with hardly noticeable sacrifice on throughput and packet loss ratio performances.
In conclusion, our novel approach enables the application of adaptive techniques to more
RED parameters including those affecting queue occupancy and hence queueing delay. The
new modification to RED algorithm is a scalable approach and does not introduce additional
protocol overhead. In general it brings the benefit of substantially reduced delay at the cost
of limited processing overhead and negligible degradation in throughput and packet loss
ratio. However, our new algorithm is only tested on responsive flows and a single bottleneck
scenario. Its effectiveness on a combination of responsive and non-responsive flows as well
as in more complicated network topology scenarios is left for future work
Scalable QoS-aware Mobility for Future Mobile Operators
No full textTelecom operators and Internet service providers
are heading for a new shift in communications
paradigms. The forthcoming convergence
of cellular and wireless data networks is often
manifested in an “all IP approach” in which all
communications are based on an end-to-end IP
protocol framework. The approach to network
design becomes user and service-centered, so
that continuous reachability of mobile users and
sustained communication capabilities are default
requirements for a prospective architecture. In
this article, we describe a network architecture
which is able to provide seamless communication
mobility, triggered either by the user or by the
network, across multiple technologies. The architecture
allows for media independent handovers
and supports optimized mobility and resource
management functions. The main focus of the
article is on major technical highlights of mobility
and quality-of-service (QoS) management subsystems
for converged networks.Publicad
Malicious IP Address Prediction
No full textabstract: IP blacklisting is a popular technique to bolster an enterprise's security, where access to and from designated IP addresses is explicitly restricted. The fundamental idea behind blacklists is to continually add IP addresses that reputable entities, such as security researchers, have labeled as malicious to the list. Currently IP blacklisting is a reactive method, where malicious IP addresses are identified after their engagement in malicious activities is detected (e.g. hosting malware samples or sending spam emails). This thesis project aims to address this issue, by laying the groundwork for a machine learning tool that proactively identifies malicious IP address. The ground truth data derives from VirusTotal, a company that synthesizes security knowledge from prominent sources, such as Symantec, Fortinet, and ESET. I passed 307,621 IP addresses found in posts on the D2web (deep and dark web) through VirusTotal. If at least one detected URL associates with the IP address and VirusTotal deems it positive, I accordingly label the IP address as positive (malicious), and negative (non-malicious) otherwise. To give some insight into the ground truth, 6,147 IP addresses were identified as positive from the original 307,621. Furthermore, in order to quantify the prediction capabilities of our models, I introduce a metric called lead time. Lead time represents the difference between the date an IP address was first seen on the D2web and its earliest date on VirusTotal. For example, if an IP address was mentioned on the D2web on 1/5/2017 and mentioned on VirusTotal on 1/25/2017, then its lead time is 20 days. After feature selection, where I handpicked features from the data mined from the D2web, I attempted various combinations of classifiers and feature sets in order to create the best model. The final machine learning models implement temporal cross validation - where I train a model on data from 1/1/2016 up until a testing month in 2017, and test on data from the testing month - with a Random Forest classifier. The following are results from a model that was tested on January 2017, which exhibits median performance among the final models. The true positive rate is 0.2558, the false positive rate is 0.3612, and the average lead time (for leading true positives) is 193 days, where the model picks up 33.33% of all leading true positives. Although the model finds a respectable number of true positives, it picks up too many false positives. Thus, my approach is ineffective at predicting malicious IP addresses in their current state, meaning additional efforts will be required to transform the current work into a viable too
The Usage of MPLS in Voice over IP Network
No full textAbstract: The article focused on the usage of Multiprotocol Label Switching (MPLS) over VOIP network. One of the features that MPLS has is Traffic Engineering (TE) which can help overcome potential pot holes in the network or to circumvent sub-optimal paths, especially in a network consisting of a diverse geographical terrain. The prevalence of MPLS IP VPN networks make them the de facto transport for inter-connecting IMS based VoIP devices. Inevitably, this creates the need for a fundamental set of guidelines, which can ensure that the quality of service for real time traffic is acceptable. To that end, a systematic approach was taken to implement traffic engineering LSPs which enabled the real time multimedia traffic to be delivered with highest priority and minimal loss and delay. This helped provide tangible network operations benefits such as, early detection of service disruption because of faults in the desired end to end label switched paths, reduction of the Mean Time to Resolve (MTTR) and lead to proposals for further improvements which could produce a more intelligent re-routing of the LSPs
Keywords: Multiprotocol Label Switching (MPLS), Traffic Engineering (TE), Voice over Internet Protocol (VoIP), Internet Protocol (IP), Label Switched Path (LSP).
Title: The Usage of MPLS in Voice over IP Network
Author: Kashif R. Khawaja, Hulaiyel M. Khaldi, Majed I. Shukri, Baraka H. Mutairi, Fahad Nasser Al-Khaldi
International Journal of Engineering Research and Reviews
ISSN 2348-697X (Online)
Vol. 10, Issue 3, July 2022 - September 2022
Page No: 6-10
Research Publish Journals
Website: www.researchpublish.com
Published Date: 12-August-2022
DOI: https://doi.org/10.5281/zenodo.6985144
Paper Download Link (Source)
https://www.researchpublish.com/papers/the-usage-of-mpls-in-voice-over-ip-networkInternational Journal of Engineering Research and Reviews, ISSN 2348-697X (Online), Research Publish Journals, Website: www.researchpublish.co
- …
