In the of a series of packets, and every e-mail get transfers as a series of packets. world of Networks, Everything on the Internet involves packets. Web page constitute
In the existing methodology, a monitoring system has been designed for tracing the packet transfer between the source and destination.
A strategy of pattern matching has been utilized to monitor the source and destination content for its originality based on the water marking security concepts.
In the proposed methodology, the monitoring system has been designed with leakage analyser for checking the intrusion or leakage of packets between the transfer of source to destination.
A security based packet tracing has been designed and the performance of the monitoring system has been visualized graphically.
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Network Traffic Anomaly Detection Through Bayes NetGyan Prakash
Traffic anomaly detection using high performance measurement systems offers the possibility of improving the speed of
detection and enabling detection of important, short lived anomalies. In this paper we investigate the problem of detecting anomalies
using traffic measurements with fine-grained time stamps. We develop a new detection algorithm (called KS3) that utilizes a Bayes
Net to efficiently consider multiple input signals and to explicitly define what is considered “anomalous”.
The input signals considered KS3 are traffic volumes and correlations between ingress egress packet and bit rates. These
complementary signals enable identification of expanded range of anomalies. Using a set of high precision traffic measurements
collected at our campus border router over a 10 month period and an annotated anomaly log supplied by our network operators, we
show that KS3 is highly accurate, identifying 86% of the anomalies listed in the log. Compared with well known time series-based
and wavelet-based detectors, this represents over a 20% improvement in accuracy. Investigation of events identified by KS3 that did
not appear in the operator log indicate many are, in fact, true positives. Deployment of Ks3 in an operational environment supports
this by showing zero false positives during initial tests.
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
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IEEE 2014 DOTNET DATA MINING PROJECTS A robust multiple watermarking techniqu...IEEEMEMTECHSTUDENTPROJECTS
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
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
Network Traffic Anomaly Detection Through Bayes NetGyan Prakash
Traffic anomaly detection using high performance measurement systems offers the possibility of improving the speed of
detection and enabling detection of important, short lived anomalies. In this paper we investigate the problem of detecting anomalies
using traffic measurements with fine-grained time stamps. We develop a new detection algorithm (called KS3) that utilizes a Bayes
Net to efficiently consider multiple input signals and to explicitly define what is considered “anomalous”.
The input signals considered KS3 are traffic volumes and correlations between ingress egress packet and bit rates. These
complementary signals enable identification of expanded range of anomalies. Using a set of high precision traffic measurements
collected at our campus border router over a 10 month period and an annotated anomaly log supplied by our network operators, we
show that KS3 is highly accurate, identifying 86% of the anomalies listed in the log. Compared with well known time series-based
and wavelet-based detectors, this represents over a 20% improvement in accuracy. Investigation of events identified by KS3 that did
not appear in the operator log indicate many are, in fact, true positives. Deployment of Ks3 in an operational environment supports
this by showing zero false positives during initial tests.
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
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
IEEE 2014 DOTNET DATA MINING PROJECTS A robust multiple watermarking techniqu...IEEEMEMTECHSTUDENTPROJECTS
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
Polymer - pleasant client-side programming with web componentspsstoev
Polymer is a new library for the web, built on top of Web Components. This new project from Google makes client-side programming with web components easy and pleasant. You can use these technologies to increase the expressiveness of HTML by creating new tags that can help you get straight to your task. Polymer also adds other instruments like two-way data-binding and a lot of shortcuts that make your code more declarative and easier to extend and maintain. Many people think that web components are the future of web programming, and Polymer allows you to harness that power right now. Already excited!?
Intelligent Traffic light detection for individuals with CVDSwaroop Aradhya M C
This is a technical seminar ppt on mobile standards based traffic light detection which can be used as an assistive device in vehicles for individuals with Color vision deficiency
Source : “Mobile Standards-Based Traffic Light Detection in Assistive Devices for Individuals with Color-Vision Deficiency” An IEEE Transaction on Intelligent Transport Systems 2014
JPJ1445 Traffic Pattern-Based Content Leakage Detection for Trusted Content D...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/
Soft Real-Time Guarantee for Control Applications Using Both Measurement and ...CSCJournals
In this paper, we present a probabilistic admission control algorithm over switched Ethernet to support soft real-time control applications with heterogeneous periodic flows. Our approach is purely end host based, and it enables real-time application-to-application QoS management over switched Ethernet without sophisticated packet scheduling or resource reservation mechanisms in Ethernet switches or middleware on end hosts. In designing the probabilistic admission control algorithm, we employ both measurement and analytical techniques. In particular, we provide a new and efficient method to identify and estimate the queueing delay probability inside Ethernet switches for heterogeneous periodic flows with variable message size and period. We implement the probabilistic admission control algorithm on the Windows operating system, and validated its efficacy through extensive experiments.
The main problem is to avoid the complexity of retrieving the video content without streaming problem in multi network clients. The proposed work is to improve Collaboration among streaming contents on server resources in order to improve the network performance. Implementing network collaboration on a content delivery scenario, with a strong reduction of data transferred via servers. Audio and video files are transmitted in blocks to clients through the peer using the Network Coding Equivalent Content Distribution scheme. The objective of the system is to tolerate out-of-order arrival of blocks in the stream and is resilient to transmission losses of an arbitrary number of intermediate blocks, without affecting the verifiability of remaining blocks in the stream. To formulate the joint rate control and packet scheduling problem as an integer program where the objective is to minimize a cost function of the expected video distortion. Suggestions of cost functions are proposed in order to provide service differentiation and address fairness among users.
QOS - LIQUIDSTREAM: SCALABLE MONITORING AND BANDWIDTH CONTROL IN PEER TO PEER...ijp2p
The vast majority of research in P2P live streaming systems focuses on system architectures that offer to
participating peers: high upload bandwidth utilization, low delays during the video stream diffusion,
robustness and stability under dynamic network conditions and peers behavior. On the other hand in order
to guarantee the complete and on time video distribution to every participating peer, the average upload
bandwidth of the participating peers should be always greater than the playback rate of the video stream.
Most of the approaches do not take into consideration this requirement. Thus, in this paper we propose a
very scalable monitoring mechanism of the total upload bandwidth of the participating peers, which is
dynamic, accurate and with low overhead. Moreover, by exploiting this monitoring mechanism we present
and evaluate an algorithm that allows the accurate and on time estimation of the minimal required
additional bandwidth that an external set of resources (e.g. auxiliary peers) have to contribute. In this way
we guarantee the uninterrupted the stream delivery and provide high Quality of Service (QoS) in live
streaming.
QOS - LIQUIDSTREAM: SCALABLE MONITORING AND BANDWIDTH CONTROL IN PEER TO PEER...ijp2p
The vast majority of research in P2P live streaming systems focuses on system architectures that offer to
participating peers: high upload bandwidth utilization, low delays during the video stream diffusion,
robustness and stability under dynamic network conditions and peers behavior. On the other hand in order
to guarantee the complete and on time video distribution to every participating peer, the average upload
bandwidth of the participating peers should be always greater than the playback rate of the video stream.
Most of the approaches do not take into consideration this requirement. Thus, in this paper we propose a
very scalable monitoring mechanism of the total upload bandwidth of the participating peers, which is
dynamic, accurate and with low overhead. Moreover, by exploiting this monitoring mechanism we present
and evaluate an algorithm that allows the accurate and on time estimation of the minimal required
additional bandwidth that an external set of resources (e.g. auxiliary peers) have to contribute. In this way
we guarantee the uninterrupted the stream delivery and provide high Quality of Service (QoS) in live
streaming.
Polymer - pleasant client-side programming with web componentspsstoev
Polymer is a new library for the web, built on top of Web Components. This new project from Google makes client-side programming with web components easy and pleasant. You can use these technologies to increase the expressiveness of HTML by creating new tags that can help you get straight to your task. Polymer also adds other instruments like two-way data-binding and a lot of shortcuts that make your code more declarative and easier to extend and maintain. Many people think that web components are the future of web programming, and Polymer allows you to harness that power right now. Already excited!?
Intelligent Traffic light detection for individuals with CVDSwaroop Aradhya M C
This is a technical seminar ppt on mobile standards based traffic light detection which can be used as an assistive device in vehicles for individuals with Color vision deficiency
Source : “Mobile Standards-Based Traffic Light Detection in Assistive Devices for Individuals with Color-Vision Deficiency” An IEEE Transaction on Intelligent Transport Systems 2014
JPJ1445 Traffic Pattern-Based Content Leakage Detection for Trusted Content D...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/
Soft Real-Time Guarantee for Control Applications Using Both Measurement and ...CSCJournals
In this paper, we present a probabilistic admission control algorithm over switched Ethernet to support soft real-time control applications with heterogeneous periodic flows. Our approach is purely end host based, and it enables real-time application-to-application QoS management over switched Ethernet without sophisticated packet scheduling or resource reservation mechanisms in Ethernet switches or middleware on end hosts. In designing the probabilistic admission control algorithm, we employ both measurement and analytical techniques. In particular, we provide a new and efficient method to identify and estimate the queueing delay probability inside Ethernet switches for heterogeneous periodic flows with variable message size and period. We implement the probabilistic admission control algorithm on the Windows operating system, and validated its efficacy through extensive experiments.
The main problem is to avoid the complexity of retrieving the video content without streaming problem in multi network clients. The proposed work is to improve Collaboration among streaming contents on server resources in order to improve the network performance. Implementing network collaboration on a content delivery scenario, with a strong reduction of data transferred via servers. Audio and video files are transmitted in blocks to clients through the peer using the Network Coding Equivalent Content Distribution scheme. The objective of the system is to tolerate out-of-order arrival of blocks in the stream and is resilient to transmission losses of an arbitrary number of intermediate blocks, without affecting the verifiability of remaining blocks in the stream. To formulate the joint rate control and packet scheduling problem as an integer program where the objective is to minimize a cost function of the expected video distortion. Suggestions of cost functions are proposed in order to provide service differentiation and address fairness among users.
QOS - LIQUIDSTREAM: SCALABLE MONITORING AND BANDWIDTH CONTROL IN PEER TO PEER...ijp2p
The vast majority of research in P2P live streaming systems focuses on system architectures that offer to
participating peers: high upload bandwidth utilization, low delays during the video stream diffusion,
robustness and stability under dynamic network conditions and peers behavior. On the other hand in order
to guarantee the complete and on time video distribution to every participating peer, the average upload
bandwidth of the participating peers should be always greater than the playback rate of the video stream.
Most of the approaches do not take into consideration this requirement. Thus, in this paper we propose a
very scalable monitoring mechanism of the total upload bandwidth of the participating peers, which is
dynamic, accurate and with low overhead. Moreover, by exploiting this monitoring mechanism we present
and evaluate an algorithm that allows the accurate and on time estimation of the minimal required
additional bandwidth that an external set of resources (e.g. auxiliary peers) have to contribute. In this way
we guarantee the uninterrupted the stream delivery and provide high Quality of Service (QoS) in live
streaming.
QOS - LIQUIDSTREAM: SCALABLE MONITORING AND BANDWIDTH CONTROL IN PEER TO PEER...ijp2p
The vast majority of research in P2P live streaming systems focuses on system architectures that offer to
participating peers: high upload bandwidth utilization, low delays during the video stream diffusion,
robustness and stability under dynamic network conditions and peers behavior. On the other hand in order
to guarantee the complete and on time video distribution to every participating peer, the average upload
bandwidth of the participating peers should be always greater than the playback rate of the video stream.
Most of the approaches do not take into consideration this requirement. Thus, in this paper we propose a
very scalable monitoring mechanism of the total upload bandwidth of the participating peers, which is
dynamic, accurate and with low overhead. Moreover, by exploiting this monitoring mechanism we present
and evaluate an algorithm that allows the accurate and on time estimation of the minimal required
additional bandwidth that an external set of resources (e.g. auxiliary peers) have to contribute. In this way
we guarantee the uninterrupted the stream delivery and provide high Quality of Service (QoS) in live
streaming.
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
JPN1402 A Study on False Channel Condition Reporting Attacks in Wireless Ne...chennaijp
Get the latest IEEE ns2 projects in JP INFOTECH; we are having following category wise projects like Industrial Informatics, Vehicular Technology, Networking, WSN and Manet.
For More Details:
http://jpinfotech.org/final-year-ieee-projects/2014-ieee-projects/ns2-projects/
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
Attribute-based encryption (ABE) is a public-key based one-to-many encryption that allows users to encrypt and decrypt data based on user attributes.
A promising application of ABE is flexible access control of encrypted data stored in the cloud, using access polices and ascribed attributes associated with private keys and ciphertexts.One of the main efficiency drawbacks of the existing ABE schemes is that decryption involves expensive pairing operations and the number of such operations grows with the complexity of the access policy. Recently, Green et al. proposed an ABE system with outsourced decryption that largely eliminates the decryption overhead for users.
In such a system, a user provides an untrusted server, say a cloud service provider, with a transformation key that allows the cloud to translate any ABE cipher text satisfied by that user’s attributes or access policy into a simple cipher text, and it only incurs a small computational overhead for the user to recover the plaintext from the transformed cipher text.
Security of an ABE system with outsourced decryption ensures that an adversary (including a malicious cloud) will not be able to learn anything about the encrypted message; however, it does not guarantee the correctness of the transformation done by the cloud.
In this paper, we consider a new requirement of ABE with outsourced decryption: verifiability. Informally, verifiability guarantees that a user can efficiently check if the transformation is done correctly.
We give the formal model of ABE with verifiable outsourced decryption and propose a concrete scheme. We prove that our new scheme is both secure and verifiable, without relying on random oracles.
Finally, we show an implementation of our scheme and result of performance measurements, which indicates a significant reduction on computing resources imposed on users.
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A Framework for Periodic Outlier Pattern Detection in Time-Series SequencesKaashivInfoTech Company
Periodic pattern detection in time-ordered sequences is an important data mining task, which discovers in the time series all patterns that exhibit temporal regularities. Periodic pattern mining has a large number of applications in real life;
it helps understanding the regular trend of the data along time, and enables the forecast and prediction of future events. An interesting related and vital problem that has not received enough attention is to discover outlier periodic patterns in a time series. Outlier patterns are defined as those which are different from the rest of the patterns; outliers are not noise.
While noise does not belong to the data and it
Is mostly eliminated by preprocessing, outliers are actual instances in the data but have exceptional characteristics compared with the majority of the other instances.
Outliers are unusual patterns that rarely occur, and, thus, have lesser support (frequency of appearance) in the data. Outlier patterns may hint toward discrepancy in the data such as fraudulent transactions, network intrusion, and change in customer behavior, recession in the economy, epidemic and disease
Biomarkers, severe weather conditions like tornados, etc. We argue that detecting the periodicity of outlier patterns might be more important in many sequences than the periodicity of regular, more frequent patterns. In this paper, we present a robust and time efficient suffix tree-based algorithm capable of detecting the periodicity of outlier patterns in a time series by giving more significance to less frequent yet periodic patterns.
Several experiments have been conducted using both real and synthetic data; all aspects of the proposed approach are compared with the existing algorithm Info Miner; the reported results demonstrate the effectiveness and applicability of the proposed approach.
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Magiclock: Scalable Detection of Potential Deadlocks in Large-Scale Multithre...KaashivInfoTech Company
We present Magiclock, a novel potential deadlock detection technique by analyzing execution traces (containing no deadlock occurrence) of large-scale multithreaded programs.
Magiclock iteratively eliminates removable lock dependencies before potential deadlock localization. It divides lock dependencies into thread specific partitions, consolidates equivalent lock dependencies, and searches over the set of lock dependency chains without the need to examine any duplicated permutations of the same lock dependency chains.
We validate Magiclock through a suite of real-world, large-scale multithreaded programs.
The experimental results show that Magiclock is significantly more scalable and efficient .
Than existing dynamic detectors in analyzing and detecting potential deadlocks in execution traces of large-scale multithreaded programs..
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http://inplanttraining-in-chennai.com/
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Cloud computing is becoming increasingly important for provision of services and storage of data in the Internet. However there are several significant challenges in securing cloud infrastructures from different types of attacks.
The focus of thisPaper is on the security services that a cloud provider can offer as part of its infrastructure to its customers (tenants) to counteract these attacks.
Our main contribution is a security architecture that provides a flexible security as a service model that a cloud provider can offer to its tenants and customers of its tenants.
Our security as a service model while offering a baseline security to the provider to protect its own cloud infrastructure also provides flexibility to tenants to have additional security functionalities that suit their security requirements.
The paper describes the design of the security architecture and discusses how different
types of attacks are counteracted by the proposed architecture.
We have implemented the security architecture and the paper discusses analysis and performance evaluation results.
Operational Data Fusion Framework for Building Frequent Land sat-Like ImageryKaashivInfoTech Company
An operational data fusion framework was built to generate dense time-series Landsat-like images by fusing MODIS data products and Landsat imagery.
The spatial and temporal adaptive reflectance fusion model (STARFM) was integrated in the framework. Compared with earlier implementations of the STARFM, several improvements have been incorporated in the operational data fusion framework.
These include viewing an- gular correction on the MODIS daily bidirectional reflectance, precise and automated coregistration on MODIS and Landsat paired images, and automatic selection of Landsat and MODIS paired dates. Three tests that use MODIS and Landsat data pairs from the same season of the same year, the same season of two different years, and different seasons from adjacent years were performed over a Landsat scene in northern India using the integrated STARFM operational framework.
The results show that the accuracy of the predicted results depends on the data consistency between the MODIS nadir bidirectional-reflectance- distribution-function-adjusted reflectance and Landsat surface reflectance on both the paired dates and the prediction dates.
When MODIS and Landsat reflectances were consistent, the max- imum difference of the predicted results for all Landsat spectral bands, except the blue band, was about 0.007 (or 5.1% relatively). However, differences were larger (0.026 in absolute and 13.8% in relative, except the blue band) when two data sources were inconsistent.
In an extreme case, the difference for blue-band reflectancewasaslargeas0.029(or39.1%relatively).Case studies focused on monitoring vegetation condition in central India and the Hindu Kush Himalayan region. In general, spatial and tem- poral landscape variation could be identified with a high level of detail from the fused data. Vegetation index trajectories derived from the fused products could be associated with specific land cover types that occur in the study regions.
The operational data fusion framework provides a feasible and cost-effective way to build dense time-series images at Landsat spatial resolution for cloudy regions.
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An understanding towards genetics and epigenetics is essential to cope up with the paradigm shift which is underway. Personalized medicine and gene therapy will confluence the days to come.
This review highlights traditional approaches as well as current advancements in the analysis of the gene expression data from cancer perspective.
Due to improvements in biometric instrumentation and automation, it has become easier to collect a lot of experimental data in molecular biology.
Analysis of such data is extremely important as it leads to knowledge discovery that can be validated by experiments. Previously, the diagnosis of complex genetic diseases has conventionally been done based on the non-molecular characteristics like kind of tumor tissue, pathological characteristics, and clinical phase.
The microarray data can be well accounted for high dimensional space and noise. Same were the reasons for ineffective and imprecise results. Several machine learning and data mining techniques are presently applied for identifying cancer using gene expression data.
While differences in efficiency do exist, none of the well-established approaches is uniformly superior to others. The quality of algorithm is important, but is not in itself a guarantee of the quality of a specific data analysis.
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CoDe Modeling of Graph Composition for Data Warehouse Report VisualizationKaashivInfoTech Company
The visualization of information contained in reports is an important aspect of human-computer interaction, for both the accuracy and the complexity of relationships between data must be preserved. A greater attention has been paid to individual report visualization through different types of standard graphs (Histograms, Pies, etc.). However, this kind of representation provides separate information items and gives no support to visualize their relationships which are extremely important for most decision processes. This paper presents a design methodology exploiting the visual language CoDe [1] based on a logic paradigm. CoDe allows to organize the visualization through the CoDe model which graphically represents relationships between information items and can be considered a conceptual map of the view. The proposed design methodology is composed of four phases: the CoDe Modelingand OLAP Operation pattern definition phases define the CoDe model and underlying metadata information, the OLAP Operation phase physically extracts data from a data warehouse and the Report Visualization phase generates the final visualization. Moreover,a case study on real data is provided.
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Traditional malware detection and analysis approaches have been focusing on code-centric aspects of malicious programs, such as detection of the injection of malicious code or matching malicious code sequences. However, modern malware has been employing advanced strategies, such as reusing legitimate code or obfuscating malware code to circumvent the detection. As a new perspective to complement code-centric approaches, we propose a data-centric OS kernel malware characterization architecture that detects and characterizes malware attacks based on the properties of data objects manipulated during the attacks. This framework consists of two system components with novel features: First, a runtime kernel object mapping system which has an un-tampered view of kernel data objects resistant to manipulation by malware. This view is effective at detecting a class of malware that hides dynamic data objects. Second, this framework consists of a new kernel malware detection approach that generates malware signatures based on the data access patterns specific to malware attacks. This approach has an extended coverage that detects not only the malware with the signatures, but also the malware variants that share the attack patterns by modeling the low level data access behaviors as signatures. Our experiments against a variety of real-world kernel root kits demonstrate the effectiveness of data-centric malware signatures.
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Contactless technologies such as RFID, NFC, and sensor networks are vulnerable to mafia and distance frauds. These frauds aim at successfully passing an authentication protocol by cheating on the actual distance between the prover and the verifier. Distance-bounding protocols have been designed to cope these security issues, but none of them properly resists to these two frauds without requiring additional memory and computation. The situation is even worse considering that just a few distance-bounding protocols are able to deal with the inherent background noise on the communication channels. This article introduces a noise-resilient distance-bounding protocol that resists to both mafia and distance frauds. The security of the protocol is analyzed against known attacks and illustrated by experimental results. The results demonstrate the significant advantage of the introduced lightweight design over the previous proposals.
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An Interoperable System for Automated Diagnosis of Cardiac Abnormalities from...KaashivInfoTech Company
Most web applications have critical bugs (faults) affecting their security, which makes them vulnerable to attacks by hackers and organized crime. To prevent these security problems from occurring it is of utmost importance to understand the typical software faults. This paper contributes to this body of knowledge by presenting a field study on two of the most widely spread and critical web application vulnerabilities: SQL Injection and XSS. It analyzes the source code of security patches of widely used web applications written in weak and strong typed languages. Results show that only a small subset of software fault types, affecting a restricted collection of statements, is related to security. To understand how these vulnerabilities are really exploited by hackers, this paper also presents an analysis of the source code of the scripts used to attack them. The outcomes of this study can be used to train software developers and code inspectors in the detection of such faults and are also the foundation for the research of realistic vulnerability and attack injectors that can be used to assess security mechanisms, such as intrusion detection systems, vulnerability scanners, and static code analyzers.
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http://kernelmind.com/
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http://inplanttrainingchennai.com/
An Interoperable System for Automated Diagnosis of Cardiac Abnormalities from...KaashivInfoTech Company
Most web applications have critical bugs (faults) affecting their security, which makes them vulnerable to attacks by hackers and organized crime. To prevent these security problems from occurring it is of utmost importance to understand the typical software faults. This paper contributes to this body of knowledge by presenting a field study on two of the most widely spread and critical web application vulnerabilities: SQL Injection and XSS. It analyzes the source code of security patches of widely used web applications written in weak and strong typed languages. Results show that only a small subset of software fault types, affecting a restricted collection of statements, is related to security. To understand how these vulnerabilities are really exploited by hackers, this paper also presents an analysis of the source code of the scripts used to attack them. The outcomes of this study can be used to train software developers and code inspectors in the detection of such faults and are also the foundation for the research of realistic vulnerability and attack injectors that can be used to assess security mechanisms, such as intrusion detection systems, vulnerability scanners, and static code analyzers.
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http://inplanttrainingchennai.com/
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http://internshipinchennai.in/
http://inplant-training.org/
http://kernelmind.com/
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http://inplanttrainingchennai.com/
Localization of License Plate Number Using Dynamic Image Processing Techniq...KaashivInfoTech Company
In this research, the design of a new genetic algorithm (GA) is introduced to detect the locations of license plate (LP) symbols. An adaptive threshold method is applied to overcome the dynamic changes of illumination conditions when
Converting the image into binary. Connected component analysis technique (CCAT) is used to detect candidate objects inside the unknown image. A scale-invariant geometric relationship matrix is introduced to model the layout of symbols in any LP that simplifies system adaptability when applied in different
Countries. Moreover, two new crossover operators, based on sorting, are introduced, which greatly improve the convergence speed of the system. Most of the CCAT problems, such as touching or broken bodies, are minimized by modifying the GA to perform partial match until reaching an acceptable fitness
Value. The system is implemented using MATLAB and various image samples are experimented with to verify the distinction of the proposed system. Encouraging results with 98.4% overall accuracy are reported for two different datasets having variability in orientation, scaling, plate location, illumination, and complex
Background. Examples of distorted plate images are successfully detected due to the independency on the shape, color, or location of the plate.
Index Terms-Genetic algorithms (GAs), image processing, image representations, license plate detection, machine vision, road vehicle identification, sorting crossover.
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Base Paper Abstract:
Most web applications have critical bugs (faults) affecting their security, which makes them vulnerable to attacks by hackers and organized crime. To prevent these security problems from occurring it is of utmost importance to understand the typical software faults. This paper contributes to this body of knowledge by presenting a field study on two of the most widely spread and critical web application vulnerabilities: SQL Injection and XSS. It analyzes the source code of security patches of widely used web applications written in weak and strong typed languages. Results show that only a small subset of software fault types, affecting a restricted collection of statements, is related to security. To understand how these vulnerabilities are really exploited by hackers, this paper also presents an analysis of the source code of the scripts used to attack them. The outcomes of this study can be used to train software developers and code inspectors in the detection of such faults and are also the foundation for the research of realistic
vulnerability and attack injectors that can be used to assess security mechanisms, such as intrusion detection systems, vulnerability scanners, and static code analyzers.
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EMAP Expedite Message Authentication Protocol for Vehicular Ad Hoc NetworksKaashivInfoTech Company
Vehicular ad hoc networks (VANETs) adopt the Public Key Infrastructure (PKI) and Certificate Revocation Lists (CRLs) for their security. In any PKI system, the authentication of a received message is performed by checking if the certificate of the sender is included in the current CRL, and verifying the authenticity of the certificate and signature of the sender. In this paper, we propose an Expedite Message Authentication Protocol (EMAP) for VANETs, which replaces the time-consuming CRL checking process by an efficient revocation checking process. The revocation check process in EMAP uses a keyed Hash Message Authentication Code ðHMACÞ, where the key used in calculating theHMAC is shared only between nonrevoked On-Board Units (OBUs). In addition, EMAP uses a novel probabilistic key distribution, which enables nonrevoked OBUs to securely share and update a secret key. EMAP can significantly decrease the message loss ratio due to the message verification delay compared with the conventional authentication methods employing CRL. By conducting security analysis and performance evaluation, EMAP is demonstrated to be secure and efficient.
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A New Algorithm for Inferring User Search Goals with Feedback SessionsKaashivInfoTech Company
• Information Surfing is one of the vital phenomenon in today’s world. Users prefer to surf internet by their queries to clarify their known uncertain information.
• Search engines does not often bring the user required information and does not fulfill the request completely. Hence it is necessary to infer and mine user specific interest about a topic.
• Providing results just based on user’s previous search history does not yield fruitful results since the self feedback and repeatable feedback were not included in the existing system.
• Hence our proposed approach considers vigorous user feedback to provide accurate search specific results and to increase the performance of the This feedback is captured for all relevant URL that matches the search query using Classified Average Precision algorithm to yield accurate web search results.
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Traffic Pattern-Based Content Leakage Detection for Trusted Content Delivery Networks
1. PACKET TRANSFER OVER NETWORK TRAFFIC
DETECTION MONITORING OF SECURE
Based on IEEE Transaction Paper,
Traffic Pattern-Based Content Leakage Detection for Trusted Content
2. Abstract
In the world of Networks, Everything on the Internet
involves packets. Web page constitute of a series of packets, and
every e-mail get transfers as a series of packets.
In the existing methodology, a monitoring system has been
designed for tracing the packet transfer between the source and
destination.
A strategy of pattern matching has been utilized to monitor the
source and destination content for its originality based on the
water marking security concepts.
In the proposed methodology, the monitoring system has been
designed with leakage analyser for checking the intrusion or
leakage of packets between the transfer of source to destination.
A security based packet tracing has been designed and the
performance of the monitoring system has been visualized
graphically.
3. Existing System
The conventional systems maintain a high detection
accuracy while coping with some of the traffic variation in
the network (e.g., network delay and packet loss),
however, their detection performance substantially
degrades owing to the significant variation of video
lengths.
In this paper, we focus on overcoming this issue by
proposing a novel content-leakage detection scheme that
is robust to the variation of the video length.
By comparing videos of different lengths, we determine a
relation between the length of videos to be compared and
the similarity between the compared videos.
Therefore, we enhance the detection performance of the
proposed scheme even in an environment subjected to
variation in length of video.
4. Proposed System
Sender in an application, used to send the content with
watermarking information.
To enhance the process ,we are using monitoring system
to detect the content leakage and intrusion .
Monitoring system analyze the originality of the content
and it is time consuming while transferring packets.
These contents along with watermarked source send to
the receiver through monitored system only.
5. System Requirements
Software Requirements
Platform : DOTNET (VS2010) , ASP.NET
Dot net framework 4.0
Database : SQL Server 2008 R2
Hardware Requirements
Processor : Core 2 duo
Speed : 2.2GHZ
RAM : 2GB
Hard Disk : 160GB