To get IEEE 2015-2017 Project for above title in .Net or Java
mail to finalyearprojects2all@gmail.com or contact +91 8870791415
IEEE 2015-2016 Project Videos: https://www.youtube.com/channel/UCyK6peTIU3wPIJxXD0MbNvA
Service usage classification with encrypted internet traffic in mobile messag...Finalyearprojects Toall
To get IEEE 2015-2017 Project for above title in .Net or Java
mail to finalyearprojects2all@gmail.com or contact +91 8870791415
IEEE 2015-2016 Project Videos: https://www.youtube.com/channel/UCyK6peTIU3wPIJxXD0MbNvA
Service usage classification with encryptedKamal Spring
The rapid adoption of mobile messaging Apps has enabled us to collect massive amount of encrypted Internet traffic of mobile messaging. The classification of this traffic into different types of in-App service usages can help for intelligent network management, such as managing network bandwidth budget and providing quality of services. Traditional approaches for classification of Internet traffic rely on packet inspection, such as parsing HTTP headers. However, messaging Apps are increasingly using secure protocols, such as HTTPS and SSL, to transmit data. This imposes significant challenges on the performances of service usage classification by packet inspection. To this end, in this paper, we investigate how to exploit encrypted Internet traffic for classifying in-App usages. Specifically, we develop a system, named CUMMA, for classifying service usages of mobile messaging Apps by jointly modeling user behavioral patterns, network traffic characteristics and temporal dependencies. Along this line, we first segment Internet traffic from traffic-flows into sessions with a number of dialogs in a hierarchical way. Also, we extract the discriminative features of traffic data from two perspectives: (i) packet length and (ii) time delay. Next, we learn a service usage predictor to classify these segmented dialogs into single-type usages or outliers.. Indeed, CUMMA enables mobile analysts to identify service usages and analyze end-user in-App behaviors even for encrypted Internet traffic. Finally, the extensive experiments on real-world messaging data demonstrate the effectiveness and efficiency of the proposed method for service usage classification.
A Multipath Connection Model for Traffic MatricesIJERA Editor
Peer-to-Peer (P2P) applications have witnessed an increasing popularity in recent years, which brings new challenges to network management and traffic engineering (TE). As basic input information, P2P traffic matrices are of significant importance for TE. Because of the excessively high cost of direct measurement. In this paper,A multipath connection model for traffic matrices in operational networks. Media files can share the peer to peer, the localization ratio of peer to peer traffic. This evaluates its performance using traffic traces collected from both the real peer to peer video-on-demand and file-sharing applications. The estimation of the general traffic matrices (TM) then used for sending the media file without traffic. Share the media file, source to destination traffic is not occur. So it give high performance and short time process.
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
A Mobile Messaging Apps: Service Usage Classification to Internet Traffic and...dbpublications
The rapid adoption of mobile
messaging Apps has enabled us to collect massive
amount of encrypted Internet traffic of mobile
messaging. The classification of this traffic into
different types of in-App service usages can help for
intelligent network management, such as managing
network bandwidth budget and providing quality of
services. Traditional approaches for classification of
Internet traffic rely on packet inspection, such as
parsing HTTP headers. However, messaging Apps are
increasingly using secure protocols, such as HTTPS
and SSL, to transmit data. This imposes significant
challenges on the performances of service usage
classification by packet inspection. To this end, in this
paper, we investigate how to exploit encrypted Internet
traffic for classifying in-App usages. Specifically, we
develop a system, named CUMMA, for classifying
service usages of mobile messaging Apps by jointly
modeling user behavioral patterns, network traffic
characteristics, and temporal dependencies. Along this
line, we first segment Internet traffic from trafficflows
into sessions with a number of dialogs in a
hierarchical way. Also, we extract the discriminative
features of traffic data from two perspectives: (i)
packet length and (ii) time delay. Next, we teach a
service usage predictor to classify these segmented
dialogs into single-type usages or outliers. In addition,
we design a clustering Hidden Markov Model (HMM)
based method to detect mixed dialogs from outliers
and decompose mixed dialogs into sub-dialogs of
single-type usage. Indeed, CUMMA enables mobile
analysts to identify service usages and analyze enduser
in-App behaviors even for encrypted Internet
traffic.
Machine Learning Powered - Network User Visibilitymadhucharis
Network User Visibility is a Critical for both Network Management and experience. This used Data Science approach and Machine Learnign algorithms to find the Underlying User or Usage Patterns at Scale.
Service usage classification with encrypted internet traffic in mobile messag...Finalyearprojects Toall
To get IEEE 2015-2017 Project for above title in .Net or Java
mail to finalyearprojects2all@gmail.com or contact +91 8870791415
IEEE 2015-2016 Project Videos: https://www.youtube.com/channel/UCyK6peTIU3wPIJxXD0MbNvA
Service usage classification with encryptedKamal Spring
The rapid adoption of mobile messaging Apps has enabled us to collect massive amount of encrypted Internet traffic of mobile messaging. The classification of this traffic into different types of in-App service usages can help for intelligent network management, such as managing network bandwidth budget and providing quality of services. Traditional approaches for classification of Internet traffic rely on packet inspection, such as parsing HTTP headers. However, messaging Apps are increasingly using secure protocols, such as HTTPS and SSL, to transmit data. This imposes significant challenges on the performances of service usage classification by packet inspection. To this end, in this paper, we investigate how to exploit encrypted Internet traffic for classifying in-App usages. Specifically, we develop a system, named CUMMA, for classifying service usages of mobile messaging Apps by jointly modeling user behavioral patterns, network traffic characteristics and temporal dependencies. Along this line, we first segment Internet traffic from traffic-flows into sessions with a number of dialogs in a hierarchical way. Also, we extract the discriminative features of traffic data from two perspectives: (i) packet length and (ii) time delay. Next, we learn a service usage predictor to classify these segmented dialogs into single-type usages or outliers.. Indeed, CUMMA enables mobile analysts to identify service usages and analyze end-user in-App behaviors even for encrypted Internet traffic. Finally, the extensive experiments on real-world messaging data demonstrate the effectiveness and efficiency of the proposed method for service usage classification.
A Multipath Connection Model for Traffic MatricesIJERA Editor
Peer-to-Peer (P2P) applications have witnessed an increasing popularity in recent years, which brings new challenges to network management and traffic engineering (TE). As basic input information, P2P traffic matrices are of significant importance for TE. Because of the excessively high cost of direct measurement. In this paper,A multipath connection model for traffic matrices in operational networks. Media files can share the peer to peer, the localization ratio of peer to peer traffic. This evaluates its performance using traffic traces collected from both the real peer to peer video-on-demand and file-sharing applications. The estimation of the general traffic matrices (TM) then used for sending the media file without traffic. Share the media file, source to destination traffic is not occur. So it give high performance and short time process.
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
A Mobile Messaging Apps: Service Usage Classification to Internet Traffic and...dbpublications
The rapid adoption of mobile
messaging Apps has enabled us to collect massive
amount of encrypted Internet traffic of mobile
messaging. The classification of this traffic into
different types of in-App service usages can help for
intelligent network management, such as managing
network bandwidth budget and providing quality of
services. Traditional approaches for classification of
Internet traffic rely on packet inspection, such as
parsing HTTP headers. However, messaging Apps are
increasingly using secure protocols, such as HTTPS
and SSL, to transmit data. This imposes significant
challenges on the performances of service usage
classification by packet inspection. To this end, in this
paper, we investigate how to exploit encrypted Internet
traffic for classifying in-App usages. Specifically, we
develop a system, named CUMMA, for classifying
service usages of mobile messaging Apps by jointly
modeling user behavioral patterns, network traffic
characteristics, and temporal dependencies. Along this
line, we first segment Internet traffic from trafficflows
into sessions with a number of dialogs in a
hierarchical way. Also, we extract the discriminative
features of traffic data from two perspectives: (i)
packet length and (ii) time delay. Next, we teach a
service usage predictor to classify these segmented
dialogs into single-type usages or outliers. In addition,
we design a clustering Hidden Markov Model (HMM)
based method to detect mixed dialogs from outliers
and decompose mixed dialogs into sub-dialogs of
single-type usage. Indeed, CUMMA enables mobile
analysts to identify service usages and analyze enduser
in-App behaviors even for encrypted Internet
traffic.
Machine Learning Powered - Network User Visibilitymadhucharis
Network User Visibility is a Critical for both Network Management and experience. This used Data Science approach and Machine Learnign algorithms to find the Underlying User or Usage Patterns at Scale.
Improving the search mechanism for unstructured peer to-peer networks using t...Aditya Kumar
In a traditional file search mechanism, such as flooding, a peer broadcasts a query to its neighbours through an unstructured Peer-to-Peer (P2P) network until the Time-To-Live (TTL) decreases to zero.
The proposed method called the Statistical Matrix Form (SMF), which improves the flooding mechanism by selecting neighbors according to their capabilities.
A COMPARATIVE STUDY OF PROCESS MEDIATOR COMPONENTS THAT SUPPORT BEHAVIORAL IN...ijwscjournal
Most businesses these days use the web services technology as a medium to allow interaction between a service provider and a service requestor. However, both the service provider and the requestor would be unable to achieve their business goals when there are miscommunications between their processes. This
research focuses on the process incompatibility between the web services and the way to automatically resolve them by using a process mediator. This paper presents an overview of the behavioral incompatibility between web services and the overview of process mediation in order to resolve the complications faced due to the incompatibility. Several state-of the-art approaches have been selected and analyzed to understand the existing process mediation components. This paper aims to provide a valuable gap analysis that identifies the important research areas in process mediation that have yet to be fully explored.
Hybrid distributed application in banking transaction using remote method inv...TELKOMNIKA JOURNAL
Today banks have many branches in big cities of the world. System usually used a central database in a particular city. Increased of database server performance due to number of users accessing this application should not degrade performance of application. To keep database server performance optimally, application must distributed to the network. In distributed applications it takes a remote method call, that is why we are going to used Remote Method Invocation to develop this system. Based on results of analysis conducted, author can draw following conclusion of the application, which is once the client get a reference from the remote object then method of remote object is called like calling method from local object and methods that we have defined and implemented on remote object can we call or use both on desktop and web applications so we do not need to work twice. This approach makes more effective and efficient in application development, allows for better optimization, eliminates the need for processing of type information at run time and makes a light weight communication protocol possible. We have built a hybrid application, which supports both compile time and run time generation of marshallers in desktop and web application.
Presentation for AFIN - 2012. EC Standardization mandate M/441,
Protocol Meter-Bus for measuring,
M2M API standards, EU-Russia Partnership for Modernization
About M2M standards and their possible extensions.
EC Standardization mandate M/441. Protocol Meter-Bus for measuring. On M2M API standards. EU-Russia Partnership for Modernization
BCFIC-2012
Thank You for referencing this work, if you find it useful!
Reference/Citation to a paper: Alexandre de Masi, Katarzyna Wac, MIQModel: Predictive Model for Mobile Internet, International Workshop on Traffic Monitoring and Analysis (TMA), PhD Poster Session, Brussels, Belgium, April 2016.
Talhunt is a leader in assisting and executing IEEE Engineering projects to Engineering students - run by young and dynamic IT entrepreneurs. Our primary motto is to help Engineering graduates in IT and Computer science department to implement their final year project with first-class technical and academic assistance.
Project assistance is provided by 15+ years experienced IT Professionals. Over 100+ IEEE 2015 and 200+ yester year IEEE project titles are available with us. Projects are based on Software Development Life-Cycle (SDLC) model.
Talhunt is a leader in assisting and executing IEEE Engineering projects to Engineering students - run by young and dynamic IT entrepreneurs. Our primary motto is to help Engineering graduates in IT and Computer science department to implement their final year project with first-class technical and academic assistance.
Project assistance is provided by 15+ years experienced IT Professionals. Over 100+ IEEE 2015 and 200+ yester year IEEE project titles are available with us. Projects are based on Software Development Life-Cycle (SDLC) model.
Statistical Dissemination Control in Large Machine-to-Machine Communication N...kitechsolutions
Ki-Tech Solutions IEEE PROJECTS DEVELOPMENTS WE OFFER IEEE PROJECTS MCA FINAL YEAR STUDENT PROJECTS, ENGINEERING PROJECTS AND TRAINING, PHP PROJECTS, JAVA AND J2EE PROJECTS, ASP.NET PROJECTS, NS2 PROJECTS, MATLAB PROJECTS AND IPT TRAINING IN RAJAPALAYAM, VIRUDHUNAGAR DISTRICTS, AND TAMILNADU. Mail to: kitechsolutions.in@gmail.com
Optimization and Evaluation of a Multimedia Streaming Service on Hybrid Telco...ijccsa
With recent developments in cloud computing, a paradigm shift from rather static deployment of resources to more dynamic, on-demand practices means more flexibility and better utilization of resources. This demands new ways to efficiently configure networks. In this paper, we will characterize a class of competitive cloud services that telecom operators could provide based on the characteristics of telecom infrastructure through an applicable streaming service architecture. Then, we will model this architecture as a cost-based mathematic model. This model provides a tool to evaluate and compare the cost of software services for different telecom network topologies and deployment strategies. Additionally, with each topology it acts as a means to characterize the deployment solution that yields the lowest resource usage over the entire network. These applications are illustrated through numerical analysis. Finally, a proof-of-concept prototype is deployed to shows dynamic properties of the service in the architecture and the model above
Learning-based Orchestrator for Intelligent Software-defined Networking Contr...ijseajournal
This paper presents an overview of our learning-based orchestrator for intelligent Open vSwitch that we
present this using Machine Learning in Software-Defined Networking technology. The first task consists of
extracting relevant information from the Data flow generated from a SDN and using them to learn, to
predict and to accurately identify the optimal destination OVS using Reinforcement Learning and QLearning Algorithm. The second task consists to select this using our hybrid orchestrator the optimal
Intelligent SDN controllers with Supervised Learning. Therefore, we propose as a solution using Intelligent
Software-Defined Networking controllers (SDN) frameworks, OpenFlow deployments and a new intelligent
hybrid Orchestration for multi SDN controllers. After that, we feeded these feature to a Convolutional
Neural Network model to separate the classes that we’re working on. The result was very promising the
model achieved an accuracy of 72.7% on a database of 16 classes. In any case, this paper sheds light to
researchers looking for the trade-offs between SDN performance and IA customization
LEARNING-BASED ORCHESTRATOR FOR INTELLIGENT SOFTWARE-DEFINED NETWORKING CONTR...ijseajournal
This paper presents an overview of our learning-based orchestrator for intelligent Open vSwitch that we present this using Machine Learning in Software-Defined Networking technology. The first task consists of extracting relevant information from the Data flow generated from a SDN and using them to learn, to predict and to accurately identify the optimal destination OVS using Reinforcement Learning and QLearning Algorithm. The second task consists to select this using our hybrid orchestrator the optimal
Intelligent SDN controllers with Supervised Learning. Therefore, we propose as a solution using Intelligent
Software-Defined Networking controllers (SDN) frameworks, OpenFlow deployments and a new intelligent
hybrid Orchestration for multi SDN controllers. After that, we feeded these feature to a Convolutional Neural Network model to separate the classes that we’re working on. The result was very promising the model achieved an accuracy of 72.7% on a database of 16 classes. In any case, this paper sheds light to
researchers looking for the trade-offs between SDN performance and IA customization.
Improving the search mechanism for unstructured peer to-peer networks using t...Aditya Kumar
In a traditional file search mechanism, such as flooding, a peer broadcasts a query to its neighbours through an unstructured Peer-to-Peer (P2P) network until the Time-To-Live (TTL) decreases to zero.
The proposed method called the Statistical Matrix Form (SMF), which improves the flooding mechanism by selecting neighbors according to their capabilities.
A COMPARATIVE STUDY OF PROCESS MEDIATOR COMPONENTS THAT SUPPORT BEHAVIORAL IN...ijwscjournal
Most businesses these days use the web services technology as a medium to allow interaction between a service provider and a service requestor. However, both the service provider and the requestor would be unable to achieve their business goals when there are miscommunications between their processes. This
research focuses on the process incompatibility between the web services and the way to automatically resolve them by using a process mediator. This paper presents an overview of the behavioral incompatibility between web services and the overview of process mediation in order to resolve the complications faced due to the incompatibility. Several state-of the-art approaches have been selected and analyzed to understand the existing process mediation components. This paper aims to provide a valuable gap analysis that identifies the important research areas in process mediation that have yet to be fully explored.
Hybrid distributed application in banking transaction using remote method inv...TELKOMNIKA JOURNAL
Today banks have many branches in big cities of the world. System usually used a central database in a particular city. Increased of database server performance due to number of users accessing this application should not degrade performance of application. To keep database server performance optimally, application must distributed to the network. In distributed applications it takes a remote method call, that is why we are going to used Remote Method Invocation to develop this system. Based on results of analysis conducted, author can draw following conclusion of the application, which is once the client get a reference from the remote object then method of remote object is called like calling method from local object and methods that we have defined and implemented on remote object can we call or use both on desktop and web applications so we do not need to work twice. This approach makes more effective and efficient in application development, allows for better optimization, eliminates the need for processing of type information at run time and makes a light weight communication protocol possible. We have built a hybrid application, which supports both compile time and run time generation of marshallers in desktop and web application.
Presentation for AFIN - 2012. EC Standardization mandate M/441,
Protocol Meter-Bus for measuring,
M2M API standards, EU-Russia Partnership for Modernization
About M2M standards and their possible extensions.
EC Standardization mandate M/441. Protocol Meter-Bus for measuring. On M2M API standards. EU-Russia Partnership for Modernization
BCFIC-2012
Thank You for referencing this work, if you find it useful!
Reference/Citation to a paper: Alexandre de Masi, Katarzyna Wac, MIQModel: Predictive Model for Mobile Internet, International Workshop on Traffic Monitoring and Analysis (TMA), PhD Poster Session, Brussels, Belgium, April 2016.
Talhunt is a leader in assisting and executing IEEE Engineering projects to Engineering students - run by young and dynamic IT entrepreneurs. Our primary motto is to help Engineering graduates in IT and Computer science department to implement their final year project with first-class technical and academic assistance.
Project assistance is provided by 15+ years experienced IT Professionals. Over 100+ IEEE 2015 and 200+ yester year IEEE project titles are available with us. Projects are based on Software Development Life-Cycle (SDLC) model.
Talhunt is a leader in assisting and executing IEEE Engineering projects to Engineering students - run by young and dynamic IT entrepreneurs. Our primary motto is to help Engineering graduates in IT and Computer science department to implement their final year project with first-class technical and academic assistance.
Project assistance is provided by 15+ years experienced IT Professionals. Over 100+ IEEE 2015 and 200+ yester year IEEE project titles are available with us. Projects are based on Software Development Life-Cycle (SDLC) model.
Statistical Dissemination Control in Large Machine-to-Machine Communication N...kitechsolutions
Ki-Tech Solutions IEEE PROJECTS DEVELOPMENTS WE OFFER IEEE PROJECTS MCA FINAL YEAR STUDENT PROJECTS, ENGINEERING PROJECTS AND TRAINING, PHP PROJECTS, JAVA AND J2EE PROJECTS, ASP.NET PROJECTS, NS2 PROJECTS, MATLAB PROJECTS AND IPT TRAINING IN RAJAPALAYAM, VIRUDHUNAGAR DISTRICTS, AND TAMILNADU. Mail to: kitechsolutions.in@gmail.com
Optimization and Evaluation of a Multimedia Streaming Service on Hybrid Telco...ijccsa
With recent developments in cloud computing, a paradigm shift from rather static deployment of resources to more dynamic, on-demand practices means more flexibility and better utilization of resources. This demands new ways to efficiently configure networks. In this paper, we will characterize a class of competitive cloud services that telecom operators could provide based on the characteristics of telecom infrastructure through an applicable streaming service architecture. Then, we will model this architecture as a cost-based mathematic model. This model provides a tool to evaluate and compare the cost of software services for different telecom network topologies and deployment strategies. Additionally, with each topology it acts as a means to characterize the deployment solution that yields the lowest resource usage over the entire network. These applications are illustrated through numerical analysis. Finally, a proof-of-concept prototype is deployed to shows dynamic properties of the service in the architecture and the model above
Learning-based Orchestrator for Intelligent Software-defined Networking Contr...ijseajournal
This paper presents an overview of our learning-based orchestrator for intelligent Open vSwitch that we
present this using Machine Learning in Software-Defined Networking technology. The first task consists of
extracting relevant information from the Data flow generated from a SDN and using them to learn, to
predict and to accurately identify the optimal destination OVS using Reinforcement Learning and QLearning Algorithm. The second task consists to select this using our hybrid orchestrator the optimal
Intelligent SDN controllers with Supervised Learning. Therefore, we propose as a solution using Intelligent
Software-Defined Networking controllers (SDN) frameworks, OpenFlow deployments and a new intelligent
hybrid Orchestration for multi SDN controllers. After that, we feeded these feature to a Convolutional
Neural Network model to separate the classes that we’re working on. The result was very promising the
model achieved an accuracy of 72.7% on a database of 16 classes. In any case, this paper sheds light to
researchers looking for the trade-offs between SDN performance and IA customization
LEARNING-BASED ORCHESTRATOR FOR INTELLIGENT SOFTWARE-DEFINED NETWORKING CONTR...ijseajournal
This paper presents an overview of our learning-based orchestrator for intelligent Open vSwitch that we present this using Machine Learning in Software-Defined Networking technology. The first task consists of extracting relevant information from the Data flow generated from a SDN and using them to learn, to predict and to accurately identify the optimal destination OVS using Reinforcement Learning and QLearning Algorithm. The second task consists to select this using our hybrid orchestrator the optimal
Intelligent SDN controllers with Supervised Learning. Therefore, we propose as a solution using Intelligent
Software-Defined Networking controllers (SDN) frameworks, OpenFlow deployments and a new intelligent
hybrid Orchestration for multi SDN controllers. After that, we feeded these feature to a Convolutional Neural Network model to separate the classes that we’re working on. The result was very promising the model achieved an accuracy of 72.7% on a database of 16 classes. In any case, this paper sheds light to
researchers looking for the trade-offs between SDN performance and IA customization.
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JAVA 2013 IEEE MOBILECOMPUTING PROJECT A scalable server architecture for mob...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
A scalable server architecture for mobile presence services in social network...IEEEFINALYEARPROJECTS
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.co¬m-Visit Our Website: www.finalyearprojects.org
DOTNET 2013 IEEE MOBILECOMPUTING PROJECT A scalable server architecture for m...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
3 S W 2009 I E E E Abstracts Java, N C C T Chennaincct
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A web service is defined as a software system designed to support interoperable machine-to-machine interaction over a network. Put in another way, Web services provide a framework for system integration, independent of programming language and operating system. Web services are widely deployed in current distributed systems and have become the technology of choice. The suitability of Web services for integrating heterogeneous systems is largely facilitated through its extensive use of the Extensible Markup Language (XML). Thus, the security of a Web services based system depends not only on the security of the services themselves, but also on the confidentiality and integrity of the XML based SOAP messages used for communication. Recently, Web services have generated great interests in both vendors and researchers. A web service, based on existing Internet protocols and open standards, and provides a flexible solution to the problem of application integration. This paper provides an overview of the web services, web service security and the various algorithms used for encryption of the SOAP messages.
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Similar to Stochastic load balancing for virtual resource management in datacenters (20)
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Video stream analysis in clouds an object detection and classification frame...Finalyearprojects Toall
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On the performance impact of data access middleware for no sql data storesFinalyearprojects Toall
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Identity based proxy-oriented data uploading and remote data integrity checki...Finalyearprojects Toall
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Stochastic load balancing for virtual resource management in datacenters
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Service Usage Classification with Encrypted Internet Traffic in Mobile Messaging Apps
Abstract
The rapid adoption of mobile messaging Apps has enabled us to collect massive amount
of encrypted Internet traffic of mobile messaging. The classification of this traffic into different
types of in-App service usages can help for intelligent network management, such as managing
network bandwidth budget and providing quality of services. Traditional approaches for
classification of Internet traffic rely on packet inspection, such as parsing HTTP headers.
However, messaging Apps are increasingly using secure protocols, such as HTTPS and SSL, to
transmit data. This imposes significant challenges on the performances of service usage
classification by packet inspection. To this end, in this paper, we investigate how to exploit
encrypted Internet traffic for classifying in-App usages. Specifically, we develop a system,
named CUMMA, for classifying service usages of mobile messaging Apps by jointly modeling
user behavioral patterns, network traffic characteristics and temporal dependencies. Along this
line, we first segment Internet traffic from traffic-flows into sessions with a number of dialogs in
a hierarchical way. Also, we extract the discriminative features of traffic data from two
perspectives: (i) packet length and (ii) time delay. Next, we learn a service usage predictor to
classify these segmented dialogs into single-type usages or outliers. In addition, we design a
clustering Hidden Markov Model (HMM) based method to detect mixed dialogs from outliers
and decompose mixed dialogs into sub-dialogs of single-type usage. Indeed, CUMMA enables
mobile analysts to identify service usages and analyze end-user in-App behaviors even for
encrypted Internet traffic. Finally, the extensive experiments on real-world messaging data
demonstrate the effectiveness and efficiency of the proposed method for service usage
classification.
System Specification
System Requirements:
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Hardware Requirements:
• System : Pentium IV 2.4 GHz.
• Hard Disk : 40 GB.
• Floppy Drive : 1.44 Mb.
• Monitor : 15 VGA Colour.
• Mouse : Logitech.
• Ram : 512 Mb.
Software Requirements:
• Operating system : - Windows 7. 32 bit
• Coding Language : C#.net 4.0
• Data Base : SQL Server 2008
