This document summarizes a research paper on privacy-preserving data aggregation without a secure channel. It discusses two models for aggregating private data from multiple participants: one with an external aggregator and one where participants calculate the aggregation jointly. The paper proposes protocols for the aggregator or participants to calculate the sum and product of the private data in a way that preserves the privacy of each participant's data, without requiring secure pairwise channels between participants. The protocols are based on the computational hardness of solving certain cryptographic problems like the discrete logarithm problem.
Dft based individual extraction of steganographic compression of imageseSAT Journals
Abstract A Novel scheme of Separable Extraction of concealed data and compressed image is proposed adopting a transform based compression over the encrypted data. Reversible data hiding is branched under Steganography. In this reversible data hiding the art of concealing a secret data over the cover image is practiced. More than that, the main ingredients that play the key role are encryption key and the data hiding key, the compression is performed in between the two processes i.e., encryption and data hiding, to create a spare space to accommodate the secret data. The main aim of this proposed scheme is to limit the distortion and to enhance a wide space for concealing of the secret data i.e., to increase the embedding rate. The compression here classified into lossy and lossless. Lossy compression best suits for image and audio (telephone conversation, etc.) whereas lossless compression needed in the text and videos. Hence to perform the lossless compression over a stegomized image and improve its secrecy, DFT is performed after Encryption. Keywords: DFT, Data Embedding, RDH, Separable RDH, Compression
Dft based individual extraction of steganographic compression of imageseSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
STUDY OF DISTANCE MEASUREMENT TECHNIQUES IN CONTEXT TO PREDICTION MODEL OF WE...ijscai
Internet is the boon in modern era as every organization uses it for dissemination of information and ecommerce
related applications. Sometimes people of organization feel delay while accessing internet in
spite of proper bandwidth. Prediction model of web caching and prefetching is an ideal solution of this
delay problem. Prediction model analysing history of internet user from server raw log files and determine
future sequence of web objects and placed all web objects to nearer to the user so access latency could be
reduced to some extent and problem of delay is to be solved. To determine sequence of future web objects,
it is necessary to determine proximity of one web object with other by identifying proper distance metric
technique related to web caching and prefetching. This paper studies different distance metric techniques
and concludes that bio informatics based distance metric techniques are ideal in context to Web Caching
and Web Prefetching
An Improved Differential Evolution Algorithm for Data Stream ClusteringIJECEIAES
A Few algorithms were actualized by the analysts for performing clustering of data streams. Most of these algorithms require that the number of clusters (K) has to be fixed by the customer based on input data and it can be kept settled all through the clustering process. Stream clustering has faced few difficulties in picking up K. In this paper, we propose an efficient approach for data stream clustering by embracing an Improved Differential Evolution (IDE) algorithm. The IDE algorithm is one of the quick, powerful and productive global optimization approach for programmed clustering. In our proposed approach, we additionally apply an entropy based method for distinguishing the concept drift in the data stream and in this way updating the clustering procedure online. We demonstrated that our proposed method is contrasted with Genetic Algorithm and identified as proficient optimization algorithm. The performance of our proposed technique is assessed and cr eates the accuracy of 92.29%, the precision is 86.96%, recall is 90.30% and F-measure estimate is 88.60%.
Dft based individual extraction of steganographic compression of imageseSAT Journals
Abstract A Novel scheme of Separable Extraction of concealed data and compressed image is proposed adopting a transform based compression over the encrypted data. Reversible data hiding is branched under Steganography. In this reversible data hiding the art of concealing a secret data over the cover image is practiced. More than that, the main ingredients that play the key role are encryption key and the data hiding key, the compression is performed in between the two processes i.e., encryption and data hiding, to create a spare space to accommodate the secret data. The main aim of this proposed scheme is to limit the distortion and to enhance a wide space for concealing of the secret data i.e., to increase the embedding rate. The compression here classified into lossy and lossless. Lossy compression best suits for image and audio (telephone conversation, etc.) whereas lossless compression needed in the text and videos. Hence to perform the lossless compression over a stegomized image and improve its secrecy, DFT is performed after Encryption. Keywords: DFT, Data Embedding, RDH, Separable RDH, Compression
Dft based individual extraction of steganographic compression of imageseSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
STUDY OF DISTANCE MEASUREMENT TECHNIQUES IN CONTEXT TO PREDICTION MODEL OF WE...ijscai
Internet is the boon in modern era as every organization uses it for dissemination of information and ecommerce
related applications. Sometimes people of organization feel delay while accessing internet in
spite of proper bandwidth. Prediction model of web caching and prefetching is an ideal solution of this
delay problem. Prediction model analysing history of internet user from server raw log files and determine
future sequence of web objects and placed all web objects to nearer to the user so access latency could be
reduced to some extent and problem of delay is to be solved. To determine sequence of future web objects,
it is necessary to determine proximity of one web object with other by identifying proper distance metric
technique related to web caching and prefetching. This paper studies different distance metric techniques
and concludes that bio informatics based distance metric techniques are ideal in context to Web Caching
and Web Prefetching
An Improved Differential Evolution Algorithm for Data Stream ClusteringIJECEIAES
A Few algorithms were actualized by the analysts for performing clustering of data streams. Most of these algorithms require that the number of clusters (K) has to be fixed by the customer based on input data and it can be kept settled all through the clustering process. Stream clustering has faced few difficulties in picking up K. In this paper, we propose an efficient approach for data stream clustering by embracing an Improved Differential Evolution (IDE) algorithm. The IDE algorithm is one of the quick, powerful and productive global optimization approach for programmed clustering. In our proposed approach, we additionally apply an entropy based method for distinguishing the concept drift in the data stream and in this way updating the clustering procedure online. We demonstrated that our proposed method is contrasted with Genetic Algorithm and identified as proficient optimization algorithm. The performance of our proposed technique is assessed and cr eates the accuracy of 92.29%, the precision is 86.96%, recall is 90.30% and F-measure estimate is 88.60%.
Latest IEEE Projects on All Domains in Computer/ Electronics Engineering
____________________________________________
We develop projects for final year students in computer engineering. These are some topics which are feasible to implement.
For more topics please visit: www.ns2academy.in
Or call us on 9970186685/ 020 24394323
Or mail us: info@ns2academy.in
A Reliable Routing Technique for Wireless Sensor NetworksEditor IJCATR
Wireless Sensor Network (WSN) consists of very large number of sensor nodes which are deployed close to the area which
is to be monitored so as to sense various environmental conditions. WSN is a data-driven network which produces large amount of data
and also sensor nodes are energy-limited devices and their energy consumption is mainly associated with data routing. Therefore it is
necessary to perform redundant data aggregation so as to save energy. In this work data aggregation is achieved with the help of two key
approaches namely Clustering approach and In-network data aggregation. These two approaches help to save energy and thereby
increasing the lifetime of the network. The proposed work has some key features like reliable cluster formation, high data aggregation
rate, priority of packets, minimized overhead, multiple routes, reduced energy consumption which enhance the network lifetime. The
performance evaluation of the proposed approach is carried out using Network Simulator- version 2
The cloud user can remotely access software, services, application whenever they require over the
internet. The user can put their data remotely to the cloud storage. So, It is necessary that the cloud must have to
ensure data integrity and privacy of data of user.
The security is the major issue about cloud computing. The user may feel insecure for storing the data in
cloud storage. To overcome this issue, here we are giving public auditing mechanism for cloud storage. For this,
we studied Oruta system that providing public auditing mechanism. Revocation is all about the problems with
security occur in system. And we are revoked these many problems from the system. We are also revoking
existing members and adding new members in a group. In this way, we overcome the problem of static group. In
this system, TPA is Third Party Auditor which maintains all the log credentials of user and it verifies the proof of
data integrity and identity privacy of user. So, TPA plays a very important role in our system. Here we defining
statement of our model as,“Privacy Preserving using PAM in Cloud Computing ”.
.Keywords: Cloud Service Provider, Provable Data Possesion, Third Part Auditor, Public Auditing, Identity
Privacy, Shared Data, Cloud Computing.
Incentive Compatible Privacy Preserving Data Analysisrupasri mupparthi
Now a days, data management applications have evolved from pure storage and retrieval of information to finding interesting patterns and associations from large amounts of data. With the advancement of Internet and networking technologies, more and more computing applications, including data mining programs, are required to be conducted among multiple data sources that scattered around different spots, and to jointly conduct the computation to reach a common result. However, due to legal constraints and competition edges, privacy issues arise in the area of distributed data mining, thus leading to the interests from research community of both data mining.
In this project each party participates in a protocol to learn the output of some function f over the joint inputs of the parties. We mainly focus on the DNCC model instead of considering a probabilistic extension. Deterministic Non Cooperative Computation needs to be extended to include the possibility of collusion.
Intrusion detection in heterogeneous network by multipath routing based toler...eSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Intrusion detection in heterogeneous network by multipath routing based toler...eSAT Journals
Abstract The key theory of our redundancy management is to achieve the tradeoff between energy consumption vs. the gain in timeliness, security, and reliability to increase the system useful lifetime. A Innovative probability model to analyze the best redundancy level in terms of source redundancy, path redundancy and as well as the best intrusion detection settings in terms of the number of voters and the intrusion invocation break under which the lifetime of a HWSN [Heterogeneous Wireless Sensor Network] is maximized. In redundancy management “badmouthing” is the major problem in managing the redundancy. This badmouthing is malicious node which will never drop the packet even after knowing that the packet has been sent already. In this paper we propose a new scheme to overcome the problem of badmouthing by weighted based voting, this protocol will weight (Success Rate) all the nodes in the network to find the non-malicious node in the network which having more packet drop. In “weighted voting” main function is to find trust/reputation of neighbor nodes, as well as to tackle the “what paths to use” problem in multipath routing decision making for intrusion tolerance in WSNs. Keywords: Bad mouthing, Wireless Sensor Network, Weighted Based Voting, HWSN.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
This is the presentation of my training program for junior managers. The program is based on a model that encompasses diversified areas of a supervisor or junior manager - from setting goals to their execution and to the development of their people.
Identifying the Performance Efficiency Of Attribute Based Encryption With Sec...IJSRD
Attribute-based encryption (ABE) can be used for the encryption of data with attributes and logs. Instead of encrypting each part of a log with the keys of all recipients, it is possible to encrypt the log only with attributes which match recipient’s attributes. This primitive can also be used for broadcast encryption in order to decrease the number of keys used. Here the access control will be given with the keys and the attributes. The outsourcing computation cost will be comparatively less when compared to the existing system. The data will be shared between the two users if and only if the key matches. In addition, for the first time, we propose an outsourced ABE construction which provides check ability of the outsourced computation results in an efficient way. The performance analysis has been proven this method to be more secured.
SECURE TRANSMISSION OF DATA IN SMART GRID WITH THE AID OF ELLIPTIC CURVE CRYP...IAEME Publication
A smart grid represents a straightforward improvement of a power grid, which effectively hands over electricity from suppliers to clients. It generally uses a two-way digital communication with an eye on managing the devices at client households. They are also competent to conserve energy, scale down overhead costs and to enhance consistency and lucidity. It is home to smart meters, which pave the way for communication with the main central system. As against home energy monitors, smart meters are capable of collecting data for distant reporting. The distribution or receipt of the data is very safely carried out to safeguard the confidentiality of the client power utilization and also to ensure continuous power distribution. Therefore, the cryptography technique is effectively used for increasing the safety and for furnishing the consistent power supply for the uninterrupted power distribution.
A COMPARISON BETWEEN PARALLEL AND SEGMENTATION METHODS USED FOR IMAGE ENCRYPT...ijcsit
Preserving confidentiality, integrity and authenticity of images is becoming very important. There are so many different encryption techniques to protect images from unauthorized access. Matrix multiplication
can be successfully used to encrypt-decrypt digital images. In this paper we made a comparison study between two image encryption techniques based on matrix multiplication namely, segmentation and parallel methods.
https://utilitasmathematica.com/index.php/Index
Our journal has academic and professional communities fosters collaboration and knowledge sharing. When all voices are heard and respected, it strengthens the collective capabilities of the statistical community.
Pseudo-Random Bit Generator Using Chaotic Seed for Cryptographic Algorithm in...IJECEIAES
Cryptographic algorithms have played an important role in information security for protecting privacy. The literature provides evidence that many types of chaotic cryptosystems have been proposed. These chaotic systems encode information to obviate its orbital instability and ergodicity. In this work, a pseudo-random cryptographic generator algorithm with a symmetric key, based on chaotic functions, is proposed. Moreover, the algorithm exploits dynamic simplicity and synchronization to generate encryption sub-keys using unpredictable seeds, extracted from a chaotic zone, in order to increase their level of randomness. Also, it is applied to a simulated electrical energy consumption signal and implemented on a prototype, using low hardware resources, to measure physical variables; hence, the unpredictability degree was statistically analyzed using the resulting cryptogram. It is shown that the pseudo-random sequences produced by the cryptographic key generator have acceptable properties with respect to randomness, which are validated in this paper using National Institute of Standards and Technology (NIST) statistical tests. To complement the evaluation of the encrypted data, the Lena image is coded and its metrics are compared with those reported in the literature, yielding some useful results.
Latest IEEE Projects on All Domains in Computer/ Electronics Engineering
____________________________________________
We develop projects for final year students in computer engineering. These are some topics which are feasible to implement.
For more topics please visit: www.ns2academy.in
Or call us on 9970186685/ 020 24394323
Or mail us: info@ns2academy.in
A Reliable Routing Technique for Wireless Sensor NetworksEditor IJCATR
Wireless Sensor Network (WSN) consists of very large number of sensor nodes which are deployed close to the area which
is to be monitored so as to sense various environmental conditions. WSN is a data-driven network which produces large amount of data
and also sensor nodes are energy-limited devices and their energy consumption is mainly associated with data routing. Therefore it is
necessary to perform redundant data aggregation so as to save energy. In this work data aggregation is achieved with the help of two key
approaches namely Clustering approach and In-network data aggregation. These two approaches help to save energy and thereby
increasing the lifetime of the network. The proposed work has some key features like reliable cluster formation, high data aggregation
rate, priority of packets, minimized overhead, multiple routes, reduced energy consumption which enhance the network lifetime. The
performance evaluation of the proposed approach is carried out using Network Simulator- version 2
The cloud user can remotely access software, services, application whenever they require over the
internet. The user can put their data remotely to the cloud storage. So, It is necessary that the cloud must have to
ensure data integrity and privacy of data of user.
The security is the major issue about cloud computing. The user may feel insecure for storing the data in
cloud storage. To overcome this issue, here we are giving public auditing mechanism for cloud storage. For this,
we studied Oruta system that providing public auditing mechanism. Revocation is all about the problems with
security occur in system. And we are revoked these many problems from the system. We are also revoking
existing members and adding new members in a group. In this way, we overcome the problem of static group. In
this system, TPA is Third Party Auditor which maintains all the log credentials of user and it verifies the proof of
data integrity and identity privacy of user. So, TPA plays a very important role in our system. Here we defining
statement of our model as,“Privacy Preserving using PAM in Cloud Computing ”.
.Keywords: Cloud Service Provider, Provable Data Possesion, Third Part Auditor, Public Auditing, Identity
Privacy, Shared Data, Cloud Computing.
Incentive Compatible Privacy Preserving Data Analysisrupasri mupparthi
Now a days, data management applications have evolved from pure storage and retrieval of information to finding interesting patterns and associations from large amounts of data. With the advancement of Internet and networking technologies, more and more computing applications, including data mining programs, are required to be conducted among multiple data sources that scattered around different spots, and to jointly conduct the computation to reach a common result. However, due to legal constraints and competition edges, privacy issues arise in the area of distributed data mining, thus leading to the interests from research community of both data mining.
In this project each party participates in a protocol to learn the output of some function f over the joint inputs of the parties. We mainly focus on the DNCC model instead of considering a probabilistic extension. Deterministic Non Cooperative Computation needs to be extended to include the possibility of collusion.
Intrusion detection in heterogeneous network by multipath routing based toler...eSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Intrusion detection in heterogeneous network by multipath routing based toler...eSAT Journals
Abstract The key theory of our redundancy management is to achieve the tradeoff between energy consumption vs. the gain in timeliness, security, and reliability to increase the system useful lifetime. A Innovative probability model to analyze the best redundancy level in terms of source redundancy, path redundancy and as well as the best intrusion detection settings in terms of the number of voters and the intrusion invocation break under which the lifetime of a HWSN [Heterogeneous Wireless Sensor Network] is maximized. In redundancy management “badmouthing” is the major problem in managing the redundancy. This badmouthing is malicious node which will never drop the packet even after knowing that the packet has been sent already. In this paper we propose a new scheme to overcome the problem of badmouthing by weighted based voting, this protocol will weight (Success Rate) all the nodes in the network to find the non-malicious node in the network which having more packet drop. In “weighted voting” main function is to find trust/reputation of neighbor nodes, as well as to tackle the “what paths to use” problem in multipath routing decision making for intrusion tolerance in WSNs. Keywords: Bad mouthing, Wireless Sensor Network, Weighted Based Voting, HWSN.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
This is the presentation of my training program for junior managers. The program is based on a model that encompasses diversified areas of a supervisor or junior manager - from setting goals to their execution and to the development of their people.
Identifying the Performance Efficiency Of Attribute Based Encryption With Sec...IJSRD
Attribute-based encryption (ABE) can be used for the encryption of data with attributes and logs. Instead of encrypting each part of a log with the keys of all recipients, it is possible to encrypt the log only with attributes which match recipient’s attributes. This primitive can also be used for broadcast encryption in order to decrease the number of keys used. Here the access control will be given with the keys and the attributes. The outsourcing computation cost will be comparatively less when compared to the existing system. The data will be shared between the two users if and only if the key matches. In addition, for the first time, we propose an outsourced ABE construction which provides check ability of the outsourced computation results in an efficient way. The performance analysis has been proven this method to be more secured.
SECURE TRANSMISSION OF DATA IN SMART GRID WITH THE AID OF ELLIPTIC CURVE CRYP...IAEME Publication
A smart grid represents a straightforward improvement of a power grid, which effectively hands over electricity from suppliers to clients. It generally uses a two-way digital communication with an eye on managing the devices at client households. They are also competent to conserve energy, scale down overhead costs and to enhance consistency and lucidity. It is home to smart meters, which pave the way for communication with the main central system. As against home energy monitors, smart meters are capable of collecting data for distant reporting. The distribution or receipt of the data is very safely carried out to safeguard the confidentiality of the client power utilization and also to ensure continuous power distribution. Therefore, the cryptography technique is effectively used for increasing the safety and for furnishing the consistent power supply for the uninterrupted power distribution.
A COMPARISON BETWEEN PARALLEL AND SEGMENTATION METHODS USED FOR IMAGE ENCRYPT...ijcsit
Preserving confidentiality, integrity and authenticity of images is becoming very important. There are so many different encryption techniques to protect images from unauthorized access. Matrix multiplication
can be successfully used to encrypt-decrypt digital images. In this paper we made a comparison study between two image encryption techniques based on matrix multiplication namely, segmentation and parallel methods.
https://utilitasmathematica.com/index.php/Index
Our journal has academic and professional communities fosters collaboration and knowledge sharing. When all voices are heard and respected, it strengthens the collective capabilities of the statistical community.
Pseudo-Random Bit Generator Using Chaotic Seed for Cryptographic Algorithm in...IJECEIAES
Cryptographic algorithms have played an important role in information security for protecting privacy. The literature provides evidence that many types of chaotic cryptosystems have been proposed. These chaotic systems encode information to obviate its orbital instability and ergodicity. In this work, a pseudo-random cryptographic generator algorithm with a symmetric key, based on chaotic functions, is proposed. Moreover, the algorithm exploits dynamic simplicity and synchronization to generate encryption sub-keys using unpredictable seeds, extracted from a chaotic zone, in order to increase their level of randomness. Also, it is applied to a simulated electrical energy consumption signal and implemented on a prototype, using low hardware resources, to measure physical variables; hence, the unpredictability degree was statistically analyzed using the resulting cryptogram. It is shown that the pseudo-random sequences produced by the cryptographic key generator have acceptable properties with respect to randomness, which are validated in this paper using National Institute of Standards and Technology (NIST) statistical tests. To complement the evaluation of the encrypted data, the Lena image is coded and its metrics are compared with those reported in the literature, yielding some useful results.
PUBLIC INTEGRIYT AUDITING FOR SHARED DYNAMIC DATA STORAGE UNDER ONTIME GENERA...paperpublications3
Abstract: Nowadays verifying the result of the remote computation plays a crucial role in addressing in issue of trust. The outsourced data collection comes for multiple data sources to diagnose the originator of errors by allotting each data sources a unique secrete key which requires the inner product conformation to be performed under any two parties different keys. The proposed methods outperform AISM technique to minimize the running time. The multi-key setting is given different secrete keys, multiple data sources can be upload their data streams along with their respective verifiable homomorphic tag. The AISM consist of three novel join techniques depending on the ADS availability: (i) Authenticated Indexed Sort Merge Join (AISM), which utilizes a single ADS on the join attribute, (ii) Authenticated Index Merge Join (AIM) that requires an ADS (on the join attribute) for both relations, and (iii) Authenticated Sort Merge Join (ASM), which does not rely on any ADS. The client should allow choosing any portion in the data streams for queries. The communication between the client and server is independent of input size. The inner product evaluation can be performed by any two sources and the result can be verified by using the particular tag.
Keywords: Computation of outsourcing, Data Stream, Multiple Key, Homomorphic encryption.
Title: PUBLIC INTEGRIYT AUDITING FOR SHARED DYNAMIC DATA STORAGE UNDER ONTIME GENERATED MULTIPLE KEYS
Author: C. NISHA MALAR, M. S. BONSHIA BINU
ISSN 2350-1049
International Journal of Recent Research in Interdisciplinary Sciences (IJRRIS)
Paper Publications
Nexgen Technology Address:
Nexgen Technology
No :66,4th cross,Venkata nagar,
Near SBI ATM,
Puducherry.
Email Id: praveen@nexgenproject.com.
www.nexgenproject.com
Mobile: 9751442511,9791938249
Telephone: 0413-2211159.
NEXGEN TECHNOLOGY as an efficient Software Training Center located at Pondicherry with IT Training on IEEE Projects in Android,IEEE IT B.Tech Student Projects, Android Projects Training with Placements Pondicherry, IEEE projects in pondicherry, final IEEE Projects in Pondicherry , MCA, BTech, BCA Projects in Pondicherry, Bulk IEEE PROJECTS IN Pondicherry.So far we have reached almost all engineering colleges located in Pondicherry and around 90km
COLLUSION-TOLERABLE PRIVACY-PRESERVING SUM AND PRODUCT CALCULATION WITHOUT SE...Nexgen Technology
Nexgen Technology Address:
Nexgen Technology
No :66,4th cross,Venkata nagar,
Near SBI ATM,
Puducherry.
Email Id: praveen@nexgenproject.com.
www.nexgenproject.com
Mobile: 9751442511,9791938249
Telephone: 0413-2211159.
NEXGEN TECHNOLOGY as an efficient Software Training Center located at Pondicherry with IT Training on IEEE Projects in Android,IEEE IT B.Tech Student Projects, Android Projects Training with Placements Pondicherry, IEEE projects in pondicherry, final IEEE Projects in Pondicherry , MCA, BTech, BCA Projects in Pondicherry, Bulk IEEE PROJECTS IN Pondicherry.So far we have reached almost all engineering colleges located in Pondicherry and around 90km
COLLUSION-TOLERABLE PRIVACY-PRESERVING SUM AND PRODUCT CALCULATION WITHOUT SE...nexgentechnology
Nexgen Technology Address:
Nexgen Technology
No :66,4th cross,Venkata nagar,
Near SBI ATM,
Puducherry.
Email Id: praveen@nexgenproject.com.
www.nexgenproject.com
Mobile: 9751442511,9791938249
Telephone: 0413-2211159.
NEXGEN TECHNOLOGY as an efficient Software Training Center located at Pondicherry with IT Training on IEEE Projects in Android,IEEE IT B.Tech Student Projects, Android Projects Training with Placements Pondicherry, IEEE projects in pondicherry, final IEEE Projects in Pondicherry , MCA, BTech, BCA Projects in Pondicherry, Bulk IEEE PROJECTS IN Pondicherry.So far we have reached almost all engineering colleges located in Pondicherry and around 90km
IRJET-Structure less Efficient Data Aggregation and Data Integrity in Sensor ...IRJET Journal
Kavita Sunchu, Dhainje Prakash " Structure less Efficient Data Aggregation and Data Integrity in Sensor Network ", International Research Journal of Engineering and Technology (IRJET), Volume2,issue-01 April 2015.e-ISSN:2395-0056, p-ISSN:2395-0072. www.irjet.net .published by Fast Track Publications
Abstract
Recently, several data aggregation schemes based on privacy homomorphism encryption have been proposed and investigated on wireless sensor networks. These data aggregation techniques provide higher security compared with traditional aggregation since cluster heads (aggregator) can directly aggregate the cipher texts without decryption; consequently, transmission overhead. Data aggregation protocol can reduce the communication cost, so the life time of sensor network is extended. The structure based has the overhead in dynamic scenarios for any event based application. The goal of our work is to design techniques and protocol that is structure free and ensure data integrity and aggregation with low transmission overhead and transmission cost. Experiment results demonstrate that the transmission overhead is still reduced even if on sensing data. Further, the design has been generalized and adopted in wireless sensor networks.
Online stream mining approach for clustering network trafficeSAT Journals
Abstract A large number of research have been proposed on intrusion detection system, which leads to the implementation of agent based intelligent IDS (IIDS), Non – intelligent IDS (NIDS), signature based IDS etc. While building such IDS models, learning algorithms from flow of network traffic plays crucial role in accuracy of IDS systems. The proposed work focuses on implementing the novel method to cluster network traffic which eliminates the limitations in existing online clustering algorithms and prove the robustness and accuracy over large stream of network traffic arriving at extremely high rate. We compare the existing algorithm with novel methods to analyse the accuracy and complexity. Keywords— NIDS, Data Stream Mining, Online Clustering, RAH algorithm, Online Efficient Incremental Clustering algorithm
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
DIVISION AND REPLICATION OF DATA IN GRID FOR OPTIMAL PERFORMANCE AND SECURITYijgca
Using Grid Storage, users can remotely store their data and enjoy the on-demand high quality applications and services from a shared networks of configurable computing resources, without the burden of local data storage and maintenance. In this project based on the dynamic secrets proposed design an encryption scheme for SG wireless communication, named as dynamic secret-based encryption (DSE). Dynamic encryption key (DEK) is updated by XOR the previous DEK with current DS. In this project based on the dynamic secrets proposed design an encryption scheme for SG wireless communication, named as dynamic secret-based encryption (DSE). The basic idea of dynamic secrets is to generate a series of secrets from unavoidable transmission errors and other random factors in wireless communications In DSE, the previous packets are coded as binary values 0 and 1 according to whether they are retransmitted due to channel error. This 0/1 sequence is called as retransmission sequence (RS) which is applied to generate dynamic secret (DS). Dynamic encryption key (DEK) is updated by XOR the previous DEK with current DS.
DIVISION AND REPLICATION OF DATA IN GRID FOR OPTIMAL PERFORMANCE AND SECURITYijgca
Using Grid Storage, users can remotely store their data and enjoy the on-demand high quality applications and services from a shared networks of configurable computing resources, without the burden of local data storage and maintenance. In this project based on the dynamic secrets proposed design an encryption scheme for SG wireless communication, named as dynamic secret-based encryption (DSE). Dynamic encryption key (DEK) is updated by XOR the previous DEK with current DS. In this project based on the dynamic secrets proposed design an encryption scheme for SG wireless communication, named as dynamic secret-based encryption (DSE). The basic idea of dynamic secrets is to generate a series of secrets from unavoidable transmission errors and other random factors in wireless communications In DSE, the previous packets are coded as binary values 0 and 1 according to whether they are retransmitted due to channel error. This 0/1 sequence is called as retransmission sequence (RS) which is applied to generate dynamic secret (DS). Dynamic encryption key (DEK) is updated by XOR the previous DEK with current DS.
DIVISION AND REPLICATION OF DATA IN GRID FOR OPTIMAL PERFORMANCE AND SECURITYijgca
Using Grid Storage, users can remotely store their data and enjoy the on-demand high quality applications and services from a shared networks of configurable computing resources, without the burden of local data storage and maintenance. In this project based on the dynamic secrets proposed design an encryption scheme for SG wireless communication, named as dynamic secret-based encryption (DSE). Dynamic encryption key (DEK) is updated by XOR the previous DEK with current DS. In this project based on the dynamic secrets proposed design an encryption scheme for SG wireless communication, named as dynamic secret-based encryption (DSE). The basic idea of dynamic secrets is to generate a series of secrets from unavoidable transmission errors and other random factors in wireless communications In DSE, the previous packets are coded as binary values 0 and 1 according to whether they are retransmitted due to channel error. This 0/1 sequence is called as retransmission sequence (RS) which is applied to generate dynamic secret (DS). Dynamic encryption key (DEK) is updated by XOR the previous DEK with current DS
Similar to A Survey on Privacy-Preserving Data Aggregation Without Secure Channel (20)
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
Water scarcity is the lack of fresh water resources to meet the standard water demand. There are two type of water scarcity. One is physical. The other is economic water scarcity.
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
Explore the innovative world of trenchless pipe repair with our comprehensive guide, "The Benefits and Techniques of Trenchless Pipe Repair." This document delves into the modern methods of repairing underground pipes without the need for extensive excavation, highlighting the numerous advantages and the latest techniques used in the industry.
Learn about the cost savings, reduced environmental impact, and minimal disruption associated with trenchless technology. Discover detailed explanations of popular techniques such as pipe bursting, cured-in-place pipe (CIPP) lining, and directional drilling. Understand how these methods can be applied to various types of infrastructure, from residential plumbing to large-scale municipal systems.
Ideal for homeowners, contractors, engineers, and anyone interested in modern plumbing solutions, this guide provides valuable insights into why trenchless pipe repair is becoming the preferred choice for pipe rehabilitation. Stay informed about the latest advancements and best practices in the field.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.