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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International Journal of Electrical and communication engineering (IJECE)MiajackB
International Journal of Electrical and communication engineering (IJECE) is an open access peer-reviewed journal that publishes quality articles contributing new results in all areas of Applied Control Systems, Electrical Engineering and Electronics Engineering. The Journal of Electrical and communication engineering (IJECE) is an abstracted and indexed international journal of high quality devoted to the publication of original research papers from Control Systems, Electrical Engineering, Power Systems, Automation, Electronics Engineering, Networks and Communication Systems and their broad range of applications.
LEVELLING OF RESOURCES_ Dr TALAAT REFAAT_Dr MOHAMED ISMAILDr Talaat Refaat
This paper titled: LEVELING OF RESOURCES was introduced through an International Symposium titled: Project Planning & Implementation in Developing Countries at Cairo Feb. 20-23, 1984.
The Symposium was organised by International Project Management Association and Egyptian Society of Engineering.
The resource scheduling Algorithms are designed to provide effective work schedules and efficient use of resources. These are closely related, since poor schedule will lead to poorly used resources and increased costs.
Using flexibility in the timing of non-critical activities, the resources can be leveled without affecting the overall project time. The degree of flexibility is indicated by the amount of total float linked to the non-critical activities.
International Journal an Fuzzy Systems (IJFS) is a forum for presenting new advances and research results in the fields of Fuzzy Logic Systems. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences.All submissions must describe original research, not published or currently under review for another conference or journal.
International Journal of Electrical and communication engineering (IJECE)MiajackB
International Journal of Electrical and communication engineering (IJECE) is an open access peer-reviewed journal that publishes quality articles contributing new results in all areas of Applied Control Systems, Electrical Engineering and Electronics Engineering. The Journal of Electrical and communication engineering (IJECE) is an abstracted and indexed international journal of high quality devoted to the publication of original research papers from Control Systems, Electrical Engineering, Power Systems, Automation, Electronics Engineering, Networks and Communication Systems and their broad range of applications.
LEVELLING OF RESOURCES_ Dr TALAAT REFAAT_Dr MOHAMED ISMAILDr Talaat Refaat
This paper titled: LEVELING OF RESOURCES was introduced through an International Symposium titled: Project Planning & Implementation in Developing Countries at Cairo Feb. 20-23, 1984.
The Symposium was organised by International Project Management Association and Egyptian Society of Engineering.
The resource scheduling Algorithms are designed to provide effective work schedules and efficient use of resources. These are closely related, since poor schedule will lead to poorly used resources and increased costs.
Using flexibility in the timing of non-critical activities, the resources can be leveled without affecting the overall project time. The degree of flexibility is indicated by the amount of total float linked to the non-critical activities.
International Journal an Fuzzy Systems (IJFS) is a forum for presenting new advances and research results in the fields of Fuzzy Logic Systems. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences.All submissions must describe original research, not published or currently under review for another conference or journal.
International Journal an Fuzzy Systems (IJFS) is a forum for presenting new advances and research results in the fields of Fuzzy Logic Systems. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences.All submissions must describe original research, not published or currently under review for another conference or journal.
Machine Learning in Pathology Diagnostics with Simagis Livekhvatkov
Simagis Live Digital Pathology platform employs latest generation of visual recognition technology with Deep Learning bring game changing application to pathology cancer diagnostics
International Journal an Fuzzy Systems (IJFS) aciijournal
International Journal an Fuzzy Systems (IJFS) is a forum for presenting new advances and research results in the fields of Fuzzy Logic Systems. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences.All submissions must describe original research, not published or currently under review for another conference or journal.
International Journal an Fuzzy Systems (IJFS) is a forum for presenting new advances and research results in the fields of Fuzzy Logic Systems. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences.All submissions must describe original research, not published or currently under review for another conference or journal.
This presentation educates you about AI - Components and Acquisition of Expert Systems and those are Knowledge Base, Knowledge Base and User Interface, AI - Expert Systems Limitation.
For more topics stay tuned with Learnbay.
Fault tolerant parallel ff ts using error correction codes and parseval checksLogicMindtech Nologies
VLSI Projects for M. Tech, VLSI Projects in Vijayanagar, VLSI Projects in Bangalore, M. Tech Projects in Vijayanagar, M. Tech Projects in Bangalore, VLSI IEEE projects in Bangalore, IEEE 2015 VLSI Projects, FPGA and Xilinx Projects, FPGA and Xilinx Projects in Bangalore, FPGA and Xilinx Projects in Vijayangar
Call For Papers - International Journal of Control Theory and Computer Model...ijctcm
The International Journal of Control Theory and Computer Modelling (IJCTCM) is a Quarterly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Control Theory and Computer Modelling. The journal focuses on all technical and practical aspects of Control Theory and Computer Modelling. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced control engineering and modeling concepts and establishing new collaborations in these areas.
Authors are solicited to contribute to this journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in Control Theory and Computer Modelling.
4. components architecture of expert systemsmonircse2
AI - An expert system is a computer program that uses artificial intelligence (AI) technologies to simulate the judgment and behavior of a human or an organization that has expert knowledge and experience in a particular field.
International Journal an Fuzzy Systems (IJFS) is a forum for presenting new advances and research results in the fields of Fuzzy Logic Systems. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences.All submissions must describe original research, not published or currently under review for another conference or journal.
Concept of Expert Systems .
Appearing of Expert System.
Areas of Success and Failure.
Examples.
Advantages and disadvantages.
What have been planned for it in the future
An Open And Reconfigurable Wireless Sensor Network For Pervasive Health Monit...Andreas Triantafyllidis
Presentation from 2nd International Conference on Pervasive Computing Technologies for Healthcare 2008 Tampere, Finland. Parts of this work have been published in Methods of Information in Medicine Journal 2008;47(3):229-34 available at: http://www.ncbi.nlm.nih.gov/pubmed/18473089
Objectives: Sensor networks constitute the backbone for the construction of personalized monitoring systems. Up to now, several sensor networks have been proposed for diverse pervasive healthcare applications, which are however characterized by a significant lack of open architectures, resulting in closed, non-interoperable, and difficult to extend solutions. In this context, we propose an open and reconfigurable Wireless Sensor Network (WSN) for pervasive health monitoring, with particular emphasis in its easy extension with additional sensors and functionality by incorporating embedded intelligence mechanisms.
Methods: We consider a generic WSN architecture comprised of diverse sensor nodes (with communication and processing capabilities) and a Mobile Base Unit (MBU) operating as the gateway between the sensors and the medical personnel, formulating this way a Body Area Network (BAN). The primary focus of this work is on the intra-BAN data communication issues, adopting SensorML as the data representation mean, including the encoding of the monitoring patterns and the functionality of the sensor network.
Results: In our prototype implementation two sensor nodes are emulated; one for heart rate monitoring and the other for blood glucose observations, while the MBU corresponds to a Personal Digital Assistant (PDA) device. Java 2 Micro Edition (J2ME) is used to implement both the sensor nodes and the MBU components. Intra-BAN wireless communication relies on the Bluetooth protocol. Via an adaptive user interface in the MBU, Health Professionals may specify the monitoring parameters of the WSN and define the monitoring patterns of interest in terms of rules.
Conclusions: This work constitutes an essential step towards the construction of open, extensible, interoperable and intelligent WSNs for pervasive health monitoring.
International Journal an Fuzzy Systems (IJFS) is a forum for presenting new advances and research results in the fields of Fuzzy Logic Systems. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences.All submissions must describe original research, not published or currently under review for another conference or journal.
Machine Learning in Pathology Diagnostics with Simagis Livekhvatkov
Simagis Live Digital Pathology platform employs latest generation of visual recognition technology with Deep Learning bring game changing application to pathology cancer diagnostics
International Journal an Fuzzy Systems (IJFS) aciijournal
International Journal an Fuzzy Systems (IJFS) is a forum for presenting new advances and research results in the fields of Fuzzy Logic Systems. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences.All submissions must describe original research, not published or currently under review for another conference or journal.
International Journal an Fuzzy Systems (IJFS) is a forum for presenting new advances and research results in the fields of Fuzzy Logic Systems. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences.All submissions must describe original research, not published or currently under review for another conference or journal.
This presentation educates you about AI - Components and Acquisition of Expert Systems and those are Knowledge Base, Knowledge Base and User Interface, AI - Expert Systems Limitation.
For more topics stay tuned with Learnbay.
Fault tolerant parallel ff ts using error correction codes and parseval checksLogicMindtech Nologies
VLSI Projects for M. Tech, VLSI Projects in Vijayanagar, VLSI Projects in Bangalore, M. Tech Projects in Vijayanagar, M. Tech Projects in Bangalore, VLSI IEEE projects in Bangalore, IEEE 2015 VLSI Projects, FPGA and Xilinx Projects, FPGA and Xilinx Projects in Bangalore, FPGA and Xilinx Projects in Vijayangar
Call For Papers - International Journal of Control Theory and Computer Model...ijctcm
The International Journal of Control Theory and Computer Modelling (IJCTCM) is a Quarterly open access peer-reviewed journal that publishes articles which contribute new results in all areas of Control Theory and Computer Modelling. The journal focuses on all technical and practical aspects of Control Theory and Computer Modelling. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced control engineering and modeling concepts and establishing new collaborations in these areas.
Authors are solicited to contribute to this journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in Control Theory and Computer Modelling.
4. components architecture of expert systemsmonircse2
AI - An expert system is a computer program that uses artificial intelligence (AI) technologies to simulate the judgment and behavior of a human or an organization that has expert knowledge and experience in a particular field.
International Journal an Fuzzy Systems (IJFS) is a forum for presenting new advances and research results in the fields of Fuzzy Logic Systems. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences.All submissions must describe original research, not published or currently under review for another conference or journal.
Concept of Expert Systems .
Appearing of Expert System.
Areas of Success and Failure.
Examples.
Advantages and disadvantages.
What have been planned for it in the future
An Open And Reconfigurable Wireless Sensor Network For Pervasive Health Monit...Andreas Triantafyllidis
Presentation from 2nd International Conference on Pervasive Computing Technologies for Healthcare 2008 Tampere, Finland. Parts of this work have been published in Methods of Information in Medicine Journal 2008;47(3):229-34 available at: http://www.ncbi.nlm.nih.gov/pubmed/18473089
Objectives: Sensor networks constitute the backbone for the construction of personalized monitoring systems. Up to now, several sensor networks have been proposed for diverse pervasive healthcare applications, which are however characterized by a significant lack of open architectures, resulting in closed, non-interoperable, and difficult to extend solutions. In this context, we propose an open and reconfigurable Wireless Sensor Network (WSN) for pervasive health monitoring, with particular emphasis in its easy extension with additional sensors and functionality by incorporating embedded intelligence mechanisms.
Methods: We consider a generic WSN architecture comprised of diverse sensor nodes (with communication and processing capabilities) and a Mobile Base Unit (MBU) operating as the gateway between the sensors and the medical personnel, formulating this way a Body Area Network (BAN). The primary focus of this work is on the intra-BAN data communication issues, adopting SensorML as the data representation mean, including the encoding of the monitoring patterns and the functionality of the sensor network.
Results: In our prototype implementation two sensor nodes are emulated; one for heart rate monitoring and the other for blood glucose observations, while the MBU corresponds to a Personal Digital Assistant (PDA) device. Java 2 Micro Edition (J2ME) is used to implement both the sensor nodes and the MBU components. Intra-BAN wireless communication relies on the Bluetooth protocol. Via an adaptive user interface in the MBU, Health Professionals may specify the monitoring parameters of the WSN and define the monitoring patterns of interest in terms of rules.
Conclusions: This work constitutes an essential step towards the construction of open, extensible, interoperable and intelligent WSNs for pervasive health monitoring.
Forecasting number of vulnerabilities using long short-term neural memory net...IJECEIAES
Cyber-attacks are launched through the exploitation of some existing vulnerabilities in the software, hardware, system and/or network. Machine learning algorithms can be used to forecast the number of post release vulnerabilities. Traditional neural networks work like a black box approach; hence it is unclear how reasoning is used in utilizing past data points in inferring the subsequent data points. However, the long short-term memory network (LSTM), a variant of the recurrent neural network, is able to address this limitation by introducing a lot of loops in its network to retain and utilize past data points for future calculations. Moving on from the previous finding, we further enhance the results to predict the number of vulnerabilities by developing a time series-based sequential model using a long short-term memory neural network. Specifically, this study developed a supervised machine learning based on the non-linear sequential time series forecasting model with a long short-term memory neural network to predict the number of vulnerabilities for three vendors having the highest number of vulnerabilities published in the national vulnerability database (NVD), namely microsoft, IBM and oracle. Our proposed model outperforms the existing models with a prediction result root mean squared error (RMSE) of as low as 0.072.
Driving Deep Semantics in Middleware and Networks: What, why and how?Amit Sheth
Amit Sheth, "Driving Deep Semantics in Middleware and Networks: What, why and how?," Keynote talk at Semantic Sensor Networks Workshop at the 5th International Semantic Web Conference (ISWC-2006), November 6, 2006, Athens, Georgia, USA.
Physical layer security and energy efficiency over different error correcting...IJECEIAES
Despite the rapid growth in the market demanding for wireless sensor networks (WSNs), they are far from being secured or efficient. WSNs are vulnerable to malicious attacks and utilize too much power. At the same time, there is a significant increment of the security threats due to the growth of the several applications that employ wireless sensor networks. Therefore, introducing physical layer security is considered to be a promising solution to mitigate the threats. This paper evaluates popular coding techniques like Reed solomon (RS) techniques and scrambled error correcting codes specifically in terms of security gap. The difference between the signal to nose ratio (SNR) of the eavesdropper and the legitimate receiver nodes is defined as the security gap. We investigate the security gap, energy efficiency, and bit error rate between RS and scrambled t-error correcting codes for wireless sensor networks. Lastly, energy efficiency in RS and Bose-Chaudhuri-Hocquenghem (BCH) is also studied. The results of the simulation emphasize that RS technique achieves similar security gap as scrambled error correcting codes. However, the analysis concludes that the computational complexities of the 푅푆 is less compared to the scrambled error correcting codes. We also found that BCH code is more energy-efficient than RS.
HYBRID APPROACH TO DESIGN OF STORAGE ATTACHED NETWORK SIMULATION SYSTEMSIAEME Publication
Simulators of real-world IT systems are gaining popularity today. However, as it
often happens in the early stages of technological readiness, the same term can be
understood as different things - from visualisation systems to multi-level multi-agent
models. The critical feature of the simulation technology is the degree of trust, or
proximity of resemblance of their behaviour to the objects of simulation from the real
world. The article presents for the first time an overview of a hybrid approach to
modelling Storage attached networks (SAN), in which the parameters of an
approximate simulator are dynamically adjusted using machine learning methods, i.e.
reinforcement learning. Particular attention is paid to the analysis of the strengths
and weaknesses of the existing approaches of simulation and comparison the hybrid
approach presented in the article
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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An Artificial Neural Network Based Anomaly Detection for Computer Networks Co...Nathanael Asaam
An Artificial Neural Network Based Anomaly Detection for Computer Networks Connected to the Internet and Web and Mobile Applications that are Accessed through the Computer Network
Wireshark analysis Protocol analysis involves the identifica.pdfadvancesystem
Wireshark analysis Protocol analysis involves the identification of basic knowledge objects within a
protocol. Protocol analysts know how to employ esoteric hardware and software tools to examine
traffic in motion across a network. Furthermore, they know how to decode and understand the
implications of what they see in that data stream, where network pathologies, outside or inside
attacks, poorly designed applications, and strange network layouts, among many other causes,
can make life interesting. Protocol definition can be expanded, abused or violated. For this report,
choose an interesting protocol behaviour relevant to CPS security, such as an unusual flag
combination, a protocol abuse or violation, a recognisable behavioural pattern (e.g. a connectivity
problem), an attack, a virus, etc., for analysis. A comprehensive list of capture files that can be
opened in Wireshark is available, for example, at http://www.netresec.com/?page=PcapFiles. Use
one of these captures (from, e.g., the section on Industrial Control Systems) to support your
analysis. Alternatively, generate and capture network traffic with one of the aforementioned
behaviours. Using the capture file and Wireshark to support your analysis, write on the topic
chosen with at least 2 academic references or books. The document you upload on Canvas
should contain some extracts of the file you have used for your analysis. All references should be
in conformity with the Harvard referencing style..
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IEEE 2014 DOTNET PARALLEL DISTRIBUTED PROJECTS A system-for-denial-of-service...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
The article outlines extensions to the model and algorithm of spyware detection
procedures which, in particular, presents a potential threat to medical information
systems. The approaches and solutions in this paper allow to programmatically
implement binary file segmentation using discrete wavelet transform (WT). Unlike the
existing approaches, the model and algorithm proposed in the article took into
account local extrema of the wavelet coefficients (WC). The described solutions allow
for analysis of potentially dangerous and spyware files the number of bytes, as well as
the entropy for individual segments of files that are transmitted for analysis
An Energy Efficient Data Secrecy Scheme For Wireless Body Sensor NetworksCSEIJJournal
Data secrecy is one of the key concerns for wireless body sensor networks (WBSNs). Usually, a data
secrecy scheme should accomplish two tasks: key establishment and encryption. WBSNs generally face
more serious limitations than general wireless networks in terms of energy supply. To address this, in this
paper, we propose an energy efficient data secrecy scheme for WBSNs. On one hand, the proposed key
establishment protocol integrates node IDs, seed value and nonce seamlessly for security, then
establishes a session key between two nodes based on one-way hash algorithm SHA-1. On the other hand,
a low-complexity threshold selective encryption technology is proposed. Also, we design a security
selection patter exchange method with low-complexity for the threshold selection encryption. Then, we
evaluate the energy consumption of the proposed scheme. Our scheme shows the great advantage over
the other existing schemes in terms of low energy consumption.
PXpathV: Preventing XPath Injection Vulnerabilities in Web Applicationsijwscjournal
Generally, most Web applications use relational databases to store and retrieve information. But, the growing acceptance of XML technologies for documents it is logical that security should be integrated with XML solutions. In a web application, an improper user inputs is a main cause for a wide variety of attacks. XML Path or XPath language is used for querying information from the nodes of an XML document. XPath Injection is an attack technique, much like SQL injection, exists when a malicious user can insert arbitrary XPath code into form fields and URL query parameters in order to inject this code directly into the XPath query evaluation engine. Through the crafted input a malicious user would bypass authentication or to
access restricted data from the XML data source.Hence, we proposed an approach to detect XPath injection attack in XML databases at runtime. Our approach intercept XPath expression and parse the XQuery expression to find the inputs to be placed in the expression. The identified inputs are used to design an XML file and it would be validated through a schema.
PXpathV: Preventing XPath Injection Vulnerabilities in Web Applicationsijwscjournal
Generally, most Web applications use relational databases to store and retrieve information. But, the growing acceptance of XML technologies for documents it is logical that security should be integrated with XML solutions. In a web application, an improper user inputs is a main cause for a wide variety of attacks. XML Path or XPath language is used for querying information from the nodes of an XML document. XPath
Injection is an attack technique, much like SQL injection, exists when a malicious user can insert arbitrary XPath code into form fields and URL query parameters in order to inject this code directly into the XPath query evaluation engine. Through the crafted input a malicious user would bypass authentication or to
access restricted data from the XML data source.Hence, we proposed an approach to detect XPath injection attack in XML databases at runtime. Our approach intercept XPath expression and parse the XQuery expression to find the inputs to be placed in the expression. The identified inputs are used to design
an XML file and it would be validated through a schema.
Health Care Monitoring for the CVD Detection using Soft Computing Techniquesijfcstjournal
Now-a-days, many diseases are reducing the life time of the human. One of the major diseases is cardiovascular disease (CVD). It has become very common perhaps because of increasingly busy lifestyles.The rapid development of mobile communication technologies offers innumerable opportunities for the development of software and hardware applications for remote monitoring of cardiac disease. Compressed ECG is used for fast and efficient. Before performing the diagnosis, the compressed ECG must be decompressed for conventional ECG diagnosis algorithm. This decompression introduces unnecessary delay. In this paper, we introduce advanced data mining technique to detect cardiac abnormalities from the
compressed ECG using real time classification of CVD.When the patient affect cardiac disease, at the time hospital server can automatically inform to patient via email/SMS based on the real time CVD classification. Our proposed system initially uses the data mining technique, such as Genetic algorithm for attribute selection and Expectation Maximization based clustering. In this technique are used to identify the
disease from compressed ECG with the help of telecardiology diagnosis system
Similar to An Interoperable System for Automated Diagnosis of Cardiac Abnormalities from Electrocardiogram Data (20)
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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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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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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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...KaashivInfoTech Company
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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An Interoperable System for Automated Diagnosis of Cardiac Abnormalities from Electrocardiogram Data
1. IEEE JOURNAL OF BIOM EDICAL AND HEALTH INFO RMATICS, VOL.9,
MAY 2014
An Interoperable System for Automated Diagnosis of Cardiac
Abnormalities from Electrocardiogram Data”.
2. 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
3. Existing System
A schema of Ontology is generated on the basis of
cardiac diagnosis report prediction with the start, peak
and End points of the ECG curve measured with the x
and axis positions.
A XML schema is a description of a type of XML
document, typically expressed in terms of constraints
on the structure and content of documents of that
type, above and beyond the basic syntactical
constraints imposed by XML itself.
A xml schema is designed from the generated
ontological schema records for easier mapping for the
input digital electrocardiographic data.
4. Proposed System
The manipulation of diagnosis report with the ECG curve
acquires many variations in heartbeat such as irregular,
slow, fast and normal.
An ontological schema is designed to identify the cardiac
predictions of curves and xml schema is exploited in an
approach to map the ontological schema information with
the inputted image.
Existing system attains the problem of inappropriate
diagnosis as the inputted ECG image sample acquires noisy
information that leads to false prediction of syndromes.
The proposed system overcomes the problem of false
prediction of syndrome by validating the input image using
histogram techniques that validates the pixel for further
processing.
5. System Requirements
Hardware Requirements:
Platform : DOTNET (VS2010) ,C# .NET
Dot net framework 4.0
Database : SQL Server 2008 R2
Software Requirements:
Processor : Core 2 duo
Speed : 2.2GHZ
RAM : 2GB
Hard Disk : 160GB