This document summarizes a proposed cloud security and data integrity framework that provides client accountability. The framework aims to address issues like lack of user control over cloud data, need for data transparency and tracking, and ensuring data integrity. It proposes using JAR (Java Archive) files for data sharing due to benefits like portability. The framework incorporates client-side verification using MD5 hashing, digital signature-based authentication of JAR files, and use of HMAC to ensure data integrity. It also uses password-based encryption of log files to keep them tamper-proof. The framework is intended to provide both accountability and security for data sharing in cloud environments.
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.
Enhanced security framework to ensure data security in cloud using security b...eSAT Journals
Abstract Data security and Access control is a challenging research work in Cloud Computing. Cloud service users upload there private and confidential data over the cloud. As the data is transferred among the server and client, the data is to be protected from unauthorized entries into the server, by authenticating the user’s and provide high secure priority to the data. So the Experts always recommend using different passwords for different logins. Any normal person cannot possibly follow that advice and memorize all their usernames and passwords. That is where password managers come in. The purpose of this paper is to secure data from unauthorized person using Security blanket 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.
Enhanced security framework to ensure data security in cloud using security b...eSAT Journals
Abstract Data security and Access control is a challenging research work in Cloud Computing. Cloud service users upload there private and confidential data over the cloud. As the data is transferred among the server and client, the data is to be protected from unauthorized entries into the server, by authenticating the user’s and provide high secure priority to the data. So the Experts always recommend using different passwords for different logins. Any normal person cannot possibly follow that advice and memorize all their usernames and passwords. That is where password managers come in. The purpose of this paper is to secure data from unauthorized person using Security blanket algorithm.
Instant Messenger (IM) becomes one of the most popular applications in mobile technology and
communication. A lot of users around the world installed it for daily activities. Current IM found security
lacks both in authentication and encryption matters. Various IM growing today still not apply an efficient
method in authentication and encryption process, conventional security methods and client-server
architecture system have to risk too many users for attacking server such as compromising, cracking
password or PINs by Unauthorized people. Common IM services lack native encryption to protect
information being transmitted over the public network and still used high computation in the mobile
environment, this problem needs efficient security methods. Then, in public IM also found various
messages with fake users, it occurs because public IM carry out the separate system in authentication and
encryption process, strong authentication need to solve this issue in messenger environment. The
tremendous growth of mobile IM user needs efficient and secure communication way. This paper proposes
a new efficient method for securing message both in encryption and authentication within the end-to-end
model. In this research, security method proposes new algorithms based on Elliptic Curve (EC) works in
Peer to Peer (P2P) architecture than a conventional client-server model. The result shows this method
produces efficient time in authentication and encryption process while applying in a mobile environment.
Besides, it is compatible with the mobile phone which has a limitation of computation capabilities and
resources.
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
Key frame extraction is an essential technique in the computer vision field. The extracted key frames should brief the salient events with an excellent feasibility, great efficiency, and with a high-level of robustness. Thus, it is not an easy problem to solve because it is attributed to many visual features.
This paper intends to solve this problem by investigating the relationship between these features detection and the accuracy of key frames extraction techniques using TRIZ. An improved algorithm for key frame extraction was then proposed based on an accumulative optical flow with a self-adaptive threshold (AOF_ST) as recommended in TRIZ inventive principles. Several video shots including original and forgery videos with complex conditions are used to verify the experimental results. The comparison of our results with the-state-of-the-art algorithms results showed that the proposed extraction algorithm can accurately brief the videos and generated a meaningful compact count number of key frames. On top of that, our proposed algorithm achieves 124.4 and 31.4 for best and worst case in KTH dataset extracted key frames in terms of compression rate, while the-state-of-the-art algorithms achieved 8.90 in the best case.
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.
Addressing Security Issues and Challenges in Mobile Cloud ComputingEditor IJCATR
The emergence of cloud computing has brought tremendous impact on software organizations and software architecture design. With the development of cloud computing and mobile internet, mobile cloud computing is becoming a new mode of application. With the widespread development of mobile applications and advances in mobile cloud computing, some other forms of requirements and security issues have been emerged. Mobile cloud computing provides resources residing over cloud and services provided for mobile devices. These resources and services from cloud are available for mobile user over their mobile devices. It also provides benefits for developing specialized mobile applications for them. However, increased security and privacy risks exists due to data outsourcing and synchronization over the Internet. This research paper provides the review on mobile cloud computing, its security issues, challenges and suggests some solutions.
DESIGN AND IMPLEMENTATION OF THE ADVANCED CLOUD PRIVACY THREAT MODELING IJNSA Journal
Privacy-preservation for sensitive data has become a challenging issue in cloud computing. Threat
modeling as a part of requirements engineering in secure software development provides a structured
approach for identifying attacks and proposing countermeasures against the exploitation of vulnerabilities
in a system. This paper describes an extension of Cloud Privacy Threat Modeling (CPTM) methodology for
privacy threat modeling in relation to processing sensitive data in cloud computing environments. It
describes the modeling methodology that involved applying Method Engineering to specify characteristics
of a cloud privacy threat modeling methodology, different steps in the proposed methodology and
corresponding products. In addition, a case study has been implemented as a proof of concept to
demonstrate the usability of the proposed methodology. We believe that the extended methodology
facilitates the application of a privacy-preserving cloud software development approach from requirements
engineering to design.
Security Aspects of the Information Centric Networks ModelCSCJournals
With development of internet and the enormous growth of contents over networks, that motivated the researchers to proposed new paradigm model called Information Centric Networks ICN , the most features of ICN model is based on the content itself, instead, of the server located the contents over internet. This new model has a lot of challenges such as, mobility of contents, naming, replications, cashing, communications, and the security issue to secure the contents, customer, and providers. In this paper we will focus on ICN Model and propose solutions of security to protect the network elements, since the security is based on the packet itself rather than the host-centric.
Trust Assessment Policy Manager in Cloud Computing – Cloud Service Provider’s...idescitation
Cloud computing is a model for enabling convenient, on-demand network access
to a shared pool of configurable computing resources. Reliability in compute cloud is an
important aspect in Quality of Service which needs to be addressed in order to foster the
adoption of compute cloud. In today’s integrated environment the distributed systems is
employed to carry out computational intensive task at a faster rate without much
investment. The Cloud is a multitenant architecture which allows faster computation with
high scalability at a lower cost thereby the users can share the same physical infrastructure.
Individual customers deploy their applications in such environment will occupy the virtual
partitions on the platform. This paper describes a straightforward procedure to analyze the
reliability of the application from the view point of the resource provider. A trust
component is implemented to provide preventive control and to mitigate the occurrence of
any non-permissible action by using the detective mechanism. Such mechanisms are used to
identify the privacy risk and it further prevents from utilization. Hence, in this paper trust
assessment is performed before the user is allowed to share the multitenant infrastructure.
The cloud can provide scalable and reliable service for the legitimate users. The proposed
work is tested using tools Aneka and Globus Toolkit.
Various OSI Layer Attacks and Countermeasure to Enhance the Performance of WS...IDES Editor
Wireless sensor networks are networks having non
wired infrastructure and dynamic topology. In OSI model each
layer is prone to various attacks, which halts the performance
of a network .In this paper several attacks on four layers of
OSI model are discussed and security mechanism is described
to prevent attack in network layer i.e wormhole attack. In
Wormhole attack two or more malicious nodes makes a covert
channel which attracts the traffic towards itself by depicting a
low latency link and then start dropping and replaying packets
in the multi-path route. This paper proposes promiscuous mode
method to detect and isolate the malicious node during
wormhole attack by using Ad-hoc on demand distance vector
routing protocol (AODV) with omnidirectional antenna. The
methodology implemented notifies that the nodes which are
not participating in multi-path routing generates an alarm
message during delay and then detects and isolate the
malicious node from network. We also notice that not only
the same kind of attacks but also the same kind of
countermeasures can appear in multiple layer. For example,
misbehavior detection techniques can be applied to almost all
the layers we discussed.
Study of Structural Behaviour of Gravity Dam with Various Features of Gallery...IDES Editor
The size and shape of opening in dam causes the
stress concentration, it also causes the stress variation in the
rest of the dam cross section. The gravity method of the analysis
does not consider the size of opening and the elastic property
of dam material. Thus the objective of study is comprises of
the Finite Element Method which considers the size of
opening, elastic property of material, and stress distribution
because of geometric discontinuity in cross section of dam.
Stress concentration inside the dam increases with the opening
in dam which results in the failure of dam. Hence it is
necessary to analyses large opening inside the dam. By making
the percentage area of opening constant and varying size and
shape of opening the analysis is carried out. For this purpose
a section of Koyna Dam is considered. Dam is defined as a
plane strain element in FEM, based on geometry and loading
condition. Thus this available information specified our path
of approach to carry out 2D plane strain analysis. The results
obtained are then compared mutually to get most efficient
way of providing large opening in the gravity dam.
Selfish Node Isolation & Incentivation using Progressive ThresholdsIDES Editor
The problems associated with selfish nodes in
MANET are addressed by a collaborative watchdog approach
which reduces the detection time for selfish nodes thereby
improves the performance and accuracy of watchdogs[1]. In
the related works they make use of credit based systems, reputation
based mechanisms, pathrater and watchdog mechanism
to detect such selfish nodes. In this paper we follow an approach
of collaborative watchdog which reduces the detection
time for selfish nodes and also involves the removal of such
selfish nodes based on some progressively assessed thresholds.
The threshold gives the nodes a chance to stop misbehaving
before it is permanently deleted from the network.
The node passes through several isolation processes before it
is permanently removed. Another version of AODV protocol
is used here which allows the simulation of selfish nodes in
NS2 by adding or modifying log files in the protocol.
Instant Messenger (IM) becomes one of the most popular applications in mobile technology and
communication. A lot of users around the world installed it for daily activities. Current IM found security
lacks both in authentication and encryption matters. Various IM growing today still not apply an efficient
method in authentication and encryption process, conventional security methods and client-server
architecture system have to risk too many users for attacking server such as compromising, cracking
password or PINs by Unauthorized people. Common IM services lack native encryption to protect
information being transmitted over the public network and still used high computation in the mobile
environment, this problem needs efficient security methods. Then, in public IM also found various
messages with fake users, it occurs because public IM carry out the separate system in authentication and
encryption process, strong authentication need to solve this issue in messenger environment. The
tremendous growth of mobile IM user needs efficient and secure communication way. This paper proposes
a new efficient method for securing message both in encryption and authentication within the end-to-end
model. In this research, security method proposes new algorithms based on Elliptic Curve (EC) works in
Peer to Peer (P2P) architecture than a conventional client-server model. The result shows this method
produces efficient time in authentication and encryption process while applying in a mobile environment.
Besides, it is compatible with the mobile phone which has a limitation of computation capabilities and
resources.
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
Key frame extraction is an essential technique in the computer vision field. The extracted key frames should brief the salient events with an excellent feasibility, great efficiency, and with a high-level of robustness. Thus, it is not an easy problem to solve because it is attributed to many visual features.
This paper intends to solve this problem by investigating the relationship between these features detection and the accuracy of key frames extraction techniques using TRIZ. An improved algorithm for key frame extraction was then proposed based on an accumulative optical flow with a self-adaptive threshold (AOF_ST) as recommended in TRIZ inventive principles. Several video shots including original and forgery videos with complex conditions are used to verify the experimental results. The comparison of our results with the-state-of-the-art algorithms results showed that the proposed extraction algorithm can accurately brief the videos and generated a meaningful compact count number of key frames. On top of that, our proposed algorithm achieves 124.4 and 31.4 for best and worst case in KTH dataset extracted key frames in terms of compression rate, while the-state-of-the-art algorithms achieved 8.90 in the best case.
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.
Addressing Security Issues and Challenges in Mobile Cloud ComputingEditor IJCATR
The emergence of cloud computing has brought tremendous impact on software organizations and software architecture design. With the development of cloud computing and mobile internet, mobile cloud computing is becoming a new mode of application. With the widespread development of mobile applications and advances in mobile cloud computing, some other forms of requirements and security issues have been emerged. Mobile cloud computing provides resources residing over cloud and services provided for mobile devices. These resources and services from cloud are available for mobile user over their mobile devices. It also provides benefits for developing specialized mobile applications for them. However, increased security and privacy risks exists due to data outsourcing and synchronization over the Internet. This research paper provides the review on mobile cloud computing, its security issues, challenges and suggests some solutions.
DESIGN AND IMPLEMENTATION OF THE ADVANCED CLOUD PRIVACY THREAT MODELING IJNSA Journal
Privacy-preservation for sensitive data has become a challenging issue in cloud computing. Threat
modeling as a part of requirements engineering in secure software development provides a structured
approach for identifying attacks and proposing countermeasures against the exploitation of vulnerabilities
in a system. This paper describes an extension of Cloud Privacy Threat Modeling (CPTM) methodology for
privacy threat modeling in relation to processing sensitive data in cloud computing environments. It
describes the modeling methodology that involved applying Method Engineering to specify characteristics
of a cloud privacy threat modeling methodology, different steps in the proposed methodology and
corresponding products. In addition, a case study has been implemented as a proof of concept to
demonstrate the usability of the proposed methodology. We believe that the extended methodology
facilitates the application of a privacy-preserving cloud software development approach from requirements
engineering to design.
Security Aspects of the Information Centric Networks ModelCSCJournals
With development of internet and the enormous growth of contents over networks, that motivated the researchers to proposed new paradigm model called Information Centric Networks ICN , the most features of ICN model is based on the content itself, instead, of the server located the contents over internet. This new model has a lot of challenges such as, mobility of contents, naming, replications, cashing, communications, and the security issue to secure the contents, customer, and providers. In this paper we will focus on ICN Model and propose solutions of security to protect the network elements, since the security is based on the packet itself rather than the host-centric.
Trust Assessment Policy Manager in Cloud Computing – Cloud Service Provider’s...idescitation
Cloud computing is a model for enabling convenient, on-demand network access
to a shared pool of configurable computing resources. Reliability in compute cloud is an
important aspect in Quality of Service which needs to be addressed in order to foster the
adoption of compute cloud. In today’s integrated environment the distributed systems is
employed to carry out computational intensive task at a faster rate without much
investment. The Cloud is a multitenant architecture which allows faster computation with
high scalability at a lower cost thereby the users can share the same physical infrastructure.
Individual customers deploy their applications in such environment will occupy the virtual
partitions on the platform. This paper describes a straightforward procedure to analyze the
reliability of the application from the view point of the resource provider. A trust
component is implemented to provide preventive control and to mitigate the occurrence of
any non-permissible action by using the detective mechanism. Such mechanisms are used to
identify the privacy risk and it further prevents from utilization. Hence, in this paper trust
assessment is performed before the user is allowed to share the multitenant infrastructure.
The cloud can provide scalable and reliable service for the legitimate users. The proposed
work is tested using tools Aneka and Globus Toolkit.
Various OSI Layer Attacks and Countermeasure to Enhance the Performance of WS...IDES Editor
Wireless sensor networks are networks having non
wired infrastructure and dynamic topology. In OSI model each
layer is prone to various attacks, which halts the performance
of a network .In this paper several attacks on four layers of
OSI model are discussed and security mechanism is described
to prevent attack in network layer i.e wormhole attack. In
Wormhole attack two or more malicious nodes makes a covert
channel which attracts the traffic towards itself by depicting a
low latency link and then start dropping and replaying packets
in the multi-path route. This paper proposes promiscuous mode
method to detect and isolate the malicious node during
wormhole attack by using Ad-hoc on demand distance vector
routing protocol (AODV) with omnidirectional antenna. The
methodology implemented notifies that the nodes which are
not participating in multi-path routing generates an alarm
message during delay and then detects and isolate the
malicious node from network. We also notice that not only
the same kind of attacks but also the same kind of
countermeasures can appear in multiple layer. For example,
misbehavior detection techniques can be applied to almost all
the layers we discussed.
Study of Structural Behaviour of Gravity Dam with Various Features of Gallery...IDES Editor
The size and shape of opening in dam causes the
stress concentration, it also causes the stress variation in the
rest of the dam cross section. The gravity method of the analysis
does not consider the size of opening and the elastic property
of dam material. Thus the objective of study is comprises of
the Finite Element Method which considers the size of
opening, elastic property of material, and stress distribution
because of geometric discontinuity in cross section of dam.
Stress concentration inside the dam increases with the opening
in dam which results in the failure of dam. Hence it is
necessary to analyses large opening inside the dam. By making
the percentage area of opening constant and varying size and
shape of opening the analysis is carried out. For this purpose
a section of Koyna Dam is considered. Dam is defined as a
plane strain element in FEM, based on geometry and loading
condition. Thus this available information specified our path
of approach to carry out 2D plane strain analysis. The results
obtained are then compared mutually to get most efficient
way of providing large opening in the gravity dam.
Selfish Node Isolation & Incentivation using Progressive ThresholdsIDES Editor
The problems associated with selfish nodes in
MANET are addressed by a collaborative watchdog approach
which reduces the detection time for selfish nodes thereby
improves the performance and accuracy of watchdogs[1]. In
the related works they make use of credit based systems, reputation
based mechanisms, pathrater and watchdog mechanism
to detect such selfish nodes. In this paper we follow an approach
of collaborative watchdog which reduces the detection
time for selfish nodes and also involves the removal of such
selfish nodes based on some progressively assessed thresholds.
The threshold gives the nodes a chance to stop misbehaving
before it is permanently deleted from the network.
The node passes through several isolation processes before it
is permanently removed. Another version of AODV protocol
is used here which allows the simulation of selfish nodes in
NS2 by adding or modifying log files in the protocol.
Secure Multi-Party Negotiation: An Analysis for Electronic Payments in Mobile...IDES Editor
This paper is an attempt to base on auctions which
presents a frame work for the secure multi-party decision
protocols. In addition to the implementations which are very
light weighted, the main focus is on synchronizing security
features for avoiding agreements manipulations and reducing
the user traffic. Through this paper one can understand that
this different auction protocols on top of the frame work can
be collaborated using mobile devices. This paper present the
negotiation between auctioneer and the proffered and this
negotiation shows that multiparty security is far better than
the existing system.
Assessing Uncertainty of Pushover Analysis to Geometric ModelingIDES Editor
Pushover Analysis a popular tool for seismic
performance evaluation of existing and new structures and is
nonlinear Static procedure where in monotonically increasing
loads are applied to the structure till the structure is unable
to resist the further load .During the analysis, whatever the
strength of concrete and steel is adopted for analysis of
structure may not be the same when real structure is
constructed and the pushover analysis results are very sensitive
to material model adopted, geometric model adopted, location
of plastic hinges and in general to procedure followed by the
analyzer. In this paper attempt has been made to assess
uncertainty in pushover analysis results by considering user
defined hinges and frame modeled as bare frame and frame
with slab modeled as rigid diaphragm and results compared
with experimental observations. Uncertain parameters
considered includes the strength of concrete, strength of steel
and cover to the reinforcement which are randomly generated
and incorporated into the analysis. The results are then
compared with experimental observations.
Design and Performance Analysis of Genetic based PID-PSS with SVC in a Multi-...IDES Editor
Damping of power system oscillations with the help
of proposed optimal Proportional Integral Derivative Power
System Stabilizer (PID-PSS) and Static Var Compensator
(SVC)-based controllers are thoroughly investigated in this
paper. This study presents robust tuning of PID-PSS and
SVC-based controllers using Genetic Algorithms (GA) in
multi machine power systems by considering detailed model
of the generators (model 1.1). The effectiveness of FACTSbased
controllers in general and SVC-based controller in
particular depends upon their proper location. Modal
controllability and observability are used to locate SVC–based
controller. The performance of the proposed controllers is
compared with conventional lead-lag power system stabilizer
(CPSS) and demonstrated on 10 machines, 39 bus New England
test system. Simulation studies show that the proposed genetic
based PID-PSS with SVC based controller provides better
performance.
Line Losses in the 14-Bus Power System Network using UPFCIDES Editor
Controlling power flow in modern power systems
can be made more flexible by the use of recent developments
in power electronic and computing control technology. The
Unified Power Flow Controller (UPFC) is a Flexible AC
transmission system (FACTS) device that can control all the
three system variables namely line reactance, magnitude and
phase angle difference of voltage across the line. The UPFC
provides a promising means to control power flow in modern
power systems. Essentially the performance depends on proper
control setting achievable through a power flow analysis
program. This paper presents a reliable method to meet the
requirements by developing a Newton-Raphson based load
flow calculation through which control settings of UPFC can
be determined for the pre-specified power flow between the
lines. The proposed method keeps Newton-Raphson Load Flow
(NRLF) algorithm intact and needs (little modification in the
Jacobian matrix). A MATLAB program has been developed to
calculate the control settings of UPFC and the power flow
between the lines after the load flow is converged. Case studies
have been performed on IEEE 5-bus system and 14-bus system
to show that the proposed method is effective. These studies
indicate that the method maintains the basic NRLF properties
such as fast computational speed, high degree of accuracy and
good convergence rate.
Optimal Placement of DG for Loss Reduction and Voltage Sag Mitigation in Radi...IDES Editor
This paper presents the need to operate the power
system economically and with optimum levels of voltages has
further led to an increase in interest in Distributed
Generation. In order to reduce the power losses and to improve
the voltage in the distribution system, distributed generators
(DGs) are connected to load bus. To reduce the total power
losses in the system, the most important process is to identify
the proper location for fixing and sizing of DGs. It presents a
new methodology using a new population based meta heuristic
approach namely Artificial Bee Colony algorithm(ABC) for
the placement of Distributed Generators(DG) in the radial
distribution systems to reduce the real power losses and to
improve the voltage profile, voltage sag mitigation. The power
loss reduction is important factor for utility companies because
it is directly proportional to the company benefits in a
competitive electricity market, while reaching the better power
quality standards is too important as it has vital effect on
customer orientation. In this paper an ABC algorithm is
developed to gain these goals all together. In order to evaluate
sag mitigation capability of the proposed algorithm, voltage
in voltage sensitive buses is investigated. An existing 20KV
network has been chosen as test network and results are
compared with the proposed method in the radial distribution
system.
Artificial Intelligence Technique based Reactive Power Planning Incorporating...IDES Editor
Reactive Power Planning is a major concern in the
operation and control of power systems This paper compares
the effectiveness of Evolutionary Programming (EP) and
New Improved Differential Evolution (NIMDE) to solve
Reactive Power Planning (RPP) problem incorporating
FACTS Controllers like Static VAR Compensator (SVC),
Thyristor Controlled Series Capacitor (TCSC) and Unified
power flow controller (UPFC) considering voltage stability.
With help of Fast Voltage Stability Index (FVSI), the critical
lines and buses are identified to install the FACTS controllers.
The optimal settings of the control variables of the generator
voltages,transformer tap settings and allocation and parameter
settings of the SVC,TCSC,UPFC are considered for reactive
power planning. The test and Validation of the proposed
algorithm are conducted on IEEE 30–bus system and 72-bus
Indian system.Simulation results shows that the UPFC gives
better results than SVC and TCSC and the FACTS controllers
reduce the system losses.
Power System State Estimation - A ReviewIDES Editor
The aim of this article is to provide a comprehensive
survey on power system state estimation techniques. The
algorithms used for finding the system states under both static
and dynamic state estimations are discussed in brief. The
authors are opinion that the scope of pursuing research in the
area of state estimation with PMU and SCADA measurements
is the state of the art and timely.
Responsive Parameter based an AntiWorm Approach to Prevent Wormhole Attack in...IDES Editor
The recent advancements in the wireless technology
and their wide-spread deployment have made remarkable
enhancements in efficiency in the corporate and industrial
and Military sectors The increasing popularity and usage of
wireless technology is creating a need for more secure wireless
Ad hoc networks. This paper aims researched and developed
a new protocol that prevents wormhole attacks on a ad hoc
network. A few existing protocols detect wormhole attacks but
they require highly specialized equipment not found on most
wireless devices. This paper aims to develop a defense against
wormhole attacks as an Anti-worm protocol which is based on
responsive parameters, that does not require as a significant
amount of specialized equipment, trick clock synchronization,
no GPS dependencies.
Data Partitioning Technique In Cloud: A Survey On Limitation And BenefitsIJERA Editor
In recent years,increment in the growth and popularity of cloud services has lead the enterprises to an increase in the capability to handle, store and retrieve critical data. This technology access a shared group of configurable computing resources, which are- servers,storage and applications. Cloud computing is a succeeding generation architecture of IT enterprise, which convert the application software and databaseto large data hubs.Data security and storage of data is an essential functionality of cloud services.It allows data storage in the cloud server efficiently without any worry. Cloud services includes request service, wide web access, measured services, just single click away ,easy usage, just pay for the services you use and location independent.All these features poses many security challenges.The data partitioning techniques are used in literature, for privacy conserving and security of data, using third party auditor (TPA). Objective of the current workis to review all available partitioning technique in literature and analyze them. Through this work authors will compare and identify the limitations and benefits of the available and widely used partitioning techniques.
Cloud Computing is the most emerging trend in Information Technology now days. It is attracting the organizations due to its advantages of scalability, throughput, easy and cheap access and on demand up and down grading of SaaS, PaaS and IaaS. Besides all the salient features of cloud environment, there are the big challenges of privacy and security. In this paper, a review of different security issues like trust, confidentiality, authenticity, encryption, key management and resource sharing are presented along with the efforts made on how to overcome these issues.
APPLYING GEO-ENCRYPTION AND ATTRIBUTE BASED ENCRYPTION TO IMPLEMENT SECURE AC...IJCNCJournal
Cloud computing is utility-based computing provides many benefits to its clients but security is one aspect which is delaying its adoptions. Security challenges include data security, network security and infrastructure security. Data security can be achieved using Cryptography. If we include location information in the encryption and decryption process then we can bind access to data with the location so that data can be accessed only from the specified locations. In this paper, we propose a method based on the symmetric cryptography, location-based cryptography and ciphertext policy – Attribute-based encryption (CP-ABE) to implements secure access control to the outsourced data. The Symmetric key is used to encrypt that data whereas CP-ABE is used to encrypt the secret key and the location lock value before uploading on the server. User will download encrypted data and the symmetric secret key XORed with the Location Lock value, using his attributes based secret key he can obtain first XORed value of Symmetric secret key and location lock value. Using anti-spoof GPS Location lock value can be obtained which can be used to retrieve the symmetric secret key. We have adopted Massage Authentication Code (MAC) to ensure Integrity and Availability of the data. This protocol can be used in the Bank, government organization, military services or any other industry those are having their offices/work location at a fixed place, so data access can be bounded to that location.
DATA STORAGE SECURITY CHALLENGES IN CLOUD COMPUTINGijsptm
In the digital world using technology and new technologies require safe and reliable environment, and it also requires consideration to all the challenges that technology faces with them and address these challenges. Cloud computing is also one of the new technologies in the IT world in this rule there is no exception. According to studies one of the major challenges of this technology is the security and safety required for providing services and build trust in consumers to transfer their data into the cloud. In this paper we attempt to review and highlight security challenges, particularly the security of data storage in a cloud environment. Also, provides some offers to enhance the security of data storage in the cloud
computing systems that by using these opinions can be overcome somewhat on the problems.
Secure Data Sharing In an Untrusted CloudIJERA Editor
Cloud computing is a huge area which basically provides many services on the basis of pay as you go. One of the fundamental services provided by cloud is data storage. Cloud provides cost efficiency and an efficient solution for sharing resource among cloud users. A secure and efficient data sharing scheme for groups in cloud is not an easy task. On one hand customers are not ready to share their identity but on other hand want to enjoy the cost efficiency provided by the cloud. It needs to provide identity privacy, multiple owner and dynamic data sharing without getting effected by the number of cloud users revoked. In this paper, any member of a group can completely enjoy the data storing and sharing services by the cloud. A secure data sharing scheme for dynamic cloud users is proposed in this paper. For which it uses group signature and dynamic broadcast encryption techniques such that any user in a group can share the information in a secured manner. Additionally the permission option is proposed for the security reasons. This means the file access permissions are generated by the admin and given to the user using Role Based Access Control (RBA) algorithm. The file access permissions are read, write and delete. In this, owner can provide files with options and accepts the users using that option. The revocation of cloud user is a function generated by the Admin for security purpose. The encryption computational cost and storage overhead is not dependent on the number of users revoked. We analyze the security by proofs and produce the cloud efficiency report using cloudsim.
A SECURITY FRAMEWORK IN CLOUD COMPUTING INFRASTRUCTUREIJNSA Journal
In a typical cloud computing diverse facilitating components like hardware, software, firmware,
networking, and services integrate to offer different computational facilities, while Internet or a private
network (or VPN) provides the required backbone to deliver the services. The security risks to the cloud
system delimit the benefits of cloud computing like “on-demand, customized resource availability and
performance management”. It is understood that current IT and enterprise security solutions are not
adequate to address the cloud security issues. This paper explores the challenges and issues of security
concerns of cloud computing through different standard and novel solutions. We propose analysis and
architecture for incorporating different security schemes, techniques and protocols for cloud computing,
particularly in Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS) systems. The proposed
architecture is generic in nature, not dependent on the type of cloud deployment, application agnostic and
is not coupled with the underlying backbone. This would facilitate to manage the cloud system more
effectively and provide the administrator to include the specific solution to counter the threat. We have also
shown using experimental data how a cloud service provider can estimate the charging based on the
security service it provides and security-related cost-benefit analysis can be estimated.
A SECURITY FRAMEWORK IN CLOUD COMPUTING INFRASTRUCTUREIJNSA Journal
In a typical cloud computing diverse facilitating components like hardware, software, firmware, networking, and services integrate to offer different computational facilities, while Internet or a private network (or VPN) provides the required backbone to deliver the services. The security risks to the cloud system delimit the benefits of cloud computing like “on-demand, customized resource availability and performance management”. It is understood that current IT and enterprise security solutions are not adequate to address the cloud security issues. This paper explores the challenges and issues of security concerns of cloud computing through different standard and novel solutions. We propose analysis and architecture for incorporating different security schemes, techniques and protocols for cloud computing, particularly in Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS) systems. The proposed architecture is generic in nature, not dependent on the type of cloud deployment, application agnostic and is not coupled with the underlying backbone. This would facilitate to manage the cloud system more effectively and provide the administrator to include the specific solution to counter the threat. We have also shown using experimental data how a cloud service provider can estimate the charging based on the security service it provides and security-related cost-benefit analysis can be estimated.
CLOUD BASED ACCESS CONTROL MODEL FOR SELECTIVE ENCRYPTION OF DOCUMENTS WITH T...IJNSA Journal
Cloud computing refers to a type of networked computing whereby an application can be run on connected
servers instead of local servers. Cloud can be used to store data, share resources and also to provide
services. Technically, there is very little difference between public and private cloud architecture. However,
the security and privacy of the data is a very big issue when sensitive data is being entrusted to third party
cloud service providers. Thus encryption with a fine grained access control is inevitable to enforce security
in clouds. Several techniques implementing attribute based encryption for fine grained access control have
been proposed. Under such approaches, the key management overhead is a little bit high in terms of
computational complexity. Also, secret sharing mechanisms have added complexity. Moreover, they lack
mechanisms to handle existence of traitors. Our proposed approach addresses these requirements and
reduces the overhead of the key management as well as secret sharing by using efficient algorithms and
protocols. Also, a traitor tracing technique is introduced into the cloud computing two layer encryption
environment.
Effective & Flexible Cryptography Based Scheme for Ensuring User`s Data Secur...ijsrd.com
Cloud computing has been envisioned as the next-generation architecture of IT enterprise. In contrast to traditional solutions, where the IT services are under proper physical, logical and personnel controls, cloud computing moves the application software and databases to the large data centers, where the management of the data and services may not be fully trustworthy. This unique attribute, however, poses many new security challenges which have not been well understood. In this article, we focus on cloud data storage security, which has always been an important aspect of quality of service. To ensure the correctness of users' data in the cloud, we propose an effective and flexible cryptography based scheme. Extensive security and performance analysis shows that the proposed scheme is highly efficient and resilient against malicious data modification attack.
Cloud Computing Using Encryption and Intrusion Detectionijsrd.com
Cloud computing provides many benefits to the users such as accessibility and availability. As the data is available over the cloud, it can be accessed by different users. There may be sensitive data of organization. This is the one issue to provide access to authenticated users only. But the data can be accessed by the owner of the cloud. So to avoid getting data being accessed by the cloud owner, we will use the intrusion detection system to provide security to the data. The other issue is to save the data backup in other cloud in encrypted form so that load balancing can be done. This will help the user with data availability in case of failure of one cloud.
Survey on securing outsourced storages in cloudeSAT Journals
Abstract Cloud computing is one of the buzzwords of technological developments in the IT industry and service sectors. Widening the social capabilities of servicing for a user on the internet while narrowing the insufficiency to store information and provide facilities locally, computing interests are shifting towards cloud services. Cloud services although contributes to major advantages for servicing also incurs notification to major security issues. The issues and the approaches that can be taken to minimise or even eliminate their effects are discussed in this paper to progress toward more secure storage services on the cloud. Keywords: Cloud computing, Cloud Security, Outsourced Storages, Storage as a Service
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
A Secure Multi-Owner Data Sharing Scheme for Dynamic Group in Public Cloud. IJCERT JOURNAL
In cloud computing outsourcing group resource among cloud users is a major challenge, so cloud computing provides a low-cost and well-organized solution. Due to frequent change of membership, sharing data in a multi-owner manner to an untrusted cloud is still its challenging issue. In this paper we proposed a secure multi-owner data sharing scheme for dynamic group in public cloud. By providing AES encryption with convergent key while uploading the data, any cloud user can securely share data with others. Meanwhile, the storage overhead and encryption computation cost of the scheme are independent with the number of revoked users. In addition, I analyze the security of this scheme with rigorous proofs. One-Time Password is one of the easiest and most popular forms of authentication that can be used for securing access to accounts. One-Time Passwords are often referred to as secure and stronger forms of authentication in multi-owner manner. Extensive security and performance analysis shows that our proposed scheme is highly efficient and satisfies the security requirements for public cloud based secure group sharing.
A survey on cloud security issues and techniquesijcsa
Today, cloud computing is an emerging way of computing in computer science. Cloud computing is a set of
resources and services that are offered by the network or internet. Cloud computing extends various
computing techniques like grid computing, distributed computing. Today cloud computing is used in both
industrial field and academic field. Cloud facilitates its users by providing virtual resources via internet. As
the field of cloud computing is spreading the new techniques are developing. This increase in cloud
computing environment also increases security challenges for cloud developers. Users of cloud save their
data in the cloud hence the lack of security in cloud can lose the user’s trust.
In this paper we will discuss some of the cloud security issues in various aspects like multi-tenancy,
elasticity, availability etc. the paper also discuss existing security techniques and approaches for a secure
cloud. This paper will enable researchers and professionals to know about different security threats and
models and tools proposed.
Data Stream Controller for Enterprise Cloud ApplicationIJSRD
Cloud computing is an emerging computing paradigm where computing resources are provided as services over Internet while residing in a large data center. Even though it enables us to dynamically provide servers with the ability to address a wide range of needs, this paradigm brings forth many new challenges for the data security and access control as users outsource their sensitive data to clouds, which are beyond the same trusted domain as data owners. The occupier need not be concerned with how the Paas system achieves expansion under high load.MAC systems differ as security policy is defined for the entire system, typically by administrators. Information flow control (IFC) is a MAC approach, developed originally from military information management methodologies. IFC can be used to enforce more general policies, using appropriate labeling and checking schemes. The labels can be used to manage both confidentiality and integrity concerns, tracking “secrecy†and “quality†of data, respectively. Decentralized Information Flow Control (DIFC) is an approach to security that allows application writers to control how data flow between the pieces of application and the outside world. As applied to privacy DIFC allows un trusted software to compute with private data while trusted security code controls the release of that data. As applied to integrity DIFC allows trusted code to protect un trusted software from unexpected inputs.
Improve HLA based Encryption Process using fixed Size Aggregate Key generationEditor IJMTER
Cloud computing is an innovative idea for IT industries which provides several services to
users. In cloud computing secure authentication and data integrity of data is a major challenge, due to
internal and external threats. For improvement in data security over cloud, various techniques are
used.MAC based authentication is one of them, which suffers from undesirable systematic demerits
which have bounded usage and not secure verification, which may pose additional online load to users,
in a public auditing setting. Reliable and secure auditing are also challenging in cloud. In Cloud auditing
existing audit systems are based on aggregate key HLA algorithm. This algorithm is based on variable
sizes, different aggregate key generation, which encounters with security issues at decryption level.
Current Scheme generates a high length of key decryption that encounters with problem of space
complexity. To overcome these issues, We can improve HLA algorithm by improve aggregate key
generation, based on fixed key size. This algorithm generates constant aggregate key which will
overcomes problem of sharing of keys, security issues and space complexity.
Similar to Cloud Security and Data Integrity with Client Accountability Framework (20)
Genetic Algorithm based Layered Detection and Defense of HTTP BotnetIDES Editor
A System state in HTTP botnet uses HTTP protocol
for the creation of chain of Botnets thereby compromising
other systems. By using HTTP protocol and port number 80,
attacks can not only be hidden but also pass through the
firewall without being detected. The DPR based detection
leads to better analysis of botnet attacks [3]. However, it
provides only probabilistic detection of the attacker and also
time consuming and error prone. This paper proposes a Genetic
algorithm based layered approach for detecting as well as
preventing botnet attacks. The paper reviews p2p firewall
implementation which forms the basis of filtering.
Performance evaluation is done based on precision, F-value
and probability. Layered approach reduces the computation
and overall time requirement [7]. Genetic algorithm promises
a low false positive rate.
Enhancing Data Storage Security in Cloud Computing Through SteganographyIDES Editor
in cloud computing data storage is a significant issue
because the entire data reside over a set of interconnected
resource pools that enables the data to be accessed through
virtual machines. It moves the application software’s and
databases to the large data centers where the management of
data is actually done. As the resource pools are situated over
various corners of the world, the management of data and
services may not be fully trustworthy. So, there are various
issues that need to be addressed with respect to the
management of data, service of data, privacy of data, security
of data etc. But the privacy and security of data is highly
challenging. To ensure privacy and security of data-at-rest in
cloud computing, we have proposed an effective and a novel
approach to ensure data security in cloud computing by means
of hiding data within images following is the concept of
steganography. The main objective of this paper is to prevent
data access from cloud data storage centers by unauthorized
users. This scheme perfectly stores data at cloud data storage
centers and retrieves data from it when it is needed.
The main tasks of a Wireless Sensor Network
(WSN) are data collection from its nodes and communication
of this data to the base station (BS). The protocols used for
communication among the WSN nodes and between the WSN
and the BS, must consider the resource constraints of nodes,
battery energy, computational capabilities and memory. The
WSN applications involve unattended operation of the network
over an extended period of time. In order to extend the lifetime
of a WSN, efficient routing protocols need to be adopted. The
proposed low power routing protocol based on tree-based
network structure reliably forwards the measured data towards
the BS using TDMA. An energy consumption analysis of the
WSN making use of this protocol is also carried out. It is
found that the network is energy efficient with an average
duty cycle of 0:7% for the WSN nodes. The OmNET++
simulation platform along with MiXiM framework is made
use of.
Permutation of Pixels within the Shares of Visual Cryptography using KBRP for...IDES Editor
The security of authentication of internet based
co-banking services should not be susceptible to high risks.
The passwords are highly vulnerable to virus attacks due to
the lack of high end embedding of security methods. In order
for the passwords to be more secure, people are generally
compelled to select jumbled up character based passwords
which are not only less memorable but are also equally prone
to insecurity. Multiple use of distributed shares has been
studied to solve the problem of authentication by algorithms
based on thresholding of pixels in image processing and visual
cryptography concepts where the subset of shares is considered
for the recovery of the original image for authentication using
correlation function[1][2].The main disadvantage in the above
study is the plain storage of shares and also one of the shares
is being supplied to the customer, which will lead to the
possibility of misuse by a third party. This paper proposes a
technique for scrambling of pixels by key based random
permutation (KBRP) within the shares before the
authentication has been attempted. Total number of shares to
be created is dependent on the multiplicity of ownership of
the account. By this method the problem of uncertainty among
the customers with regard to security, storage, retrieval of
holding of half of the shares is minimized.
This paper presents a trifocal Rotman Lens Design
approach. The effects of focal ratio and element spacing on
the performance of Rotman Lens are described. A three beam
prototype feeding 4 element antenna array working in L-band
has been simulated using RLD v1.7 software. Simulated
results show that the simulated lens has a return loss of –
12.4dB at 1.8GHz. Beam to array port phase error variation
with change in the focal ratio and element spacing has also
been investigated.
Band Clustering for the Lossless Compression of AVIRIS Hyperspectral ImagesIDES Editor
Hyperspectral images can be efficiently compressed
through a linear predictive model, as for example the one
used in the SLSQ algorithm. In this paper we exploit this
predictive model on the AVIRIS images by individuating,
through an off-line approach, a common subset of bands, which
are not spectrally related with any other bands. These bands
are not useful as prediction reference for the SLSQ 3-D
predictive model and we need to encode them via other
prediction strategies which consider only spatial correlation.
We have obtained this subset by clustering the AVIRIS bands
via the clustering by compression approach. The main result
of this paper is the list of the bands, not related with the
others, for AVIRIS images. The clustering trees obtained for
AVIRIS and the relationship among bands they depict is also
an interesting starting point for future research.
Microelectronic Circuit Analogous to Hydrogen Bonding Network in Active Site ...IDES Editor
A microelectronic circuit of block-elements
functionally analogous to two hydrogen bonding networks is
investigated. The hydrogen bonding networks are extracted
from â-lactamase protein and are formed in its active site.
Each hydrogen bond of the network is described in equivalent
electrical circuit by three or four-terminal block-element.
Each block-element is coded in Matlab. Static and dynamic
analyses are performed. The resultant microelectronic circuit
analogous to the hydrogen bonding network operates as
current mirror, sine pulse source, triangular pulse source as
well as signal modulator.
Texture Unit based Monocular Real-world Scene Classification using SOM and KN...IDES Editor
In this paper a method is proposed to discriminate
real world scenes in to natural and manmade scenes of similar
depth. Global-roughness of a scene image varies as a function
of image-depth. Increase in image depth leads to increase in
roughness in manmade scenes; on the contrary natural scenes
exhibit smooth behavior at higher image depth. This particular
arrangement of pixels in scene structure can be well explained
by local texture information in a pixel and its neighborhood.
Our proposed method analyses local texture information of a
scene image using texture unit matrix. For final classification
we have used both supervised and unsupervised learning using
K-Nearest Neighbor classifier (KNN) and Self Organizing
Map (SOM) respectively. This technique is useful for online
classification due to very less computational complexity.
Mental Stress Evaluation using an Adaptive ModelIDES Editor
Chronic stress can have serious physiological and
psychological impact on an individual’s health. Wearable
sensor systems can enable physicians to monitor physiological
variables and observe the impact of stress over long periods of
time. To correlate an individual’s physiological measures with
their perception of psychological stress, it is essential that
the stress monitoring system accounts for individual
differences in self-reporting. Self-reporting of stress is highly
subjective as it is dependent on an individual’s perception of
stress and thus prone to errors. In addition, subjects can tailor
their answers to present their behavior more favorably. In
this paper we present an adaptive model which allows recorded
stress scores and physiological variables to be tuned to remove
biases in self-reported scores. The model takes an individual’s
physiological and psychological responses into account and
adapts to the user’s variations. Using our adaptive model,
physiological data is mapped efficiently to perceived stress
levels with 90% accuracy.
Genetic Algorithm based Mosaic Image Steganography for Enhanced SecurityIDES Editor
The concept of mosaic steganography was proposed
by Lai and Tsai [4] for information hiding and retrieval using
techniques such as histogram value, greedy search algorithm,
and random permutation techniques. In the present paper, a
novel method is attempted in mosaic image steganography
using techniques such as Genetic algorithm, Key based
random permutation .The creation of a predefined database
of target images has been avoided. Instead, the randomly
selected image is used as the target image reduces the enforced
memory load results reduction in the space complexity .GA is
used to generate a mapping sequence for tile image hiding.
This has resulted in better clarity in the retrieved secret image
as well as reduction in computational complexity. The quality
of original cover image remains preserved in spite of the
embedded data image, thereby better security and robustness
is assured. The mosaic image is yielded by dividing the secret
image into fragments and embed these tile fragments into
the target image based on the mapping sequence by GA and
permuted the sequence again by KBRP with a key .The recovery
of the secret image is by using the same key and the mapping
sequence. This is found to be a lossless data hiding method.
3-D FFT Moving Object Signatures for Velocity FilteringIDES Editor
In this paper a bank of velocity filters is devised to
be used for isolating a moving object with specific velocity
(amplitude and direction) in a sequence of frames. The
approach used is a 3-D FFT based experimental procedure
without applying any theoretical concept from velocity filters.
Accordingly, each velocity filter is built using the spectral
signature of an object moving with specific velocity.
Experimentation reveals the capabilities of the constructed
filter bank to separate moving objects as far as the amplitude
as well as the direction of the velocity are concerned.
Accordingly, weak objects can be detected when moving with
different velocity close to strong vehicles. Accelerating objects
can be detected only on the part of their trajectory they have
the specific velocity. Problems which arise due to the
discontinuities at the edges of the frame sequences are
discussed.
Optimized Neural Network for Classification of Multispectral ImagesIDES Editor
The proposed work involves the multiobjective PSO
based optimization of artificial neural network structure for
the classification of multispectral satellite images. The neural
network is used to classify each image pixel in various land
cove types like vegetations, waterways, man-made structures
and road network. It is per pixel supervised classification using
spectral bands (original feature space). Use of neural network
for classification requires selection of most discriminative
spectral bands and determination of optimal number of nodes
in hidden layer. We propose new methodology based on
multiobjective particle swarm optimization (MOPSO) to
determine discriminative spectral bands and the number of
hidden layer node simultaneously. The result obtained using
such optimized neural network is compared with that of
traditional classifiers like MLC and Euclidean classifier. The
performance of all classifiers is evaluated quantitatively using
Xie-Beni and â indexes. The result shows the superiority of
the proposed method.
High Density Salt and Pepper Impulse Noise RemovalIDES Editor
In this paper, solution for very high density salt and
pepper impulse noise is proposed. An algorithm is designed
by considering the different parameters that influence the
effect of noise reduction. The proposed algorithm contains
two phases: Phase 1 detects the noisy pixels and Phase 2
replaces identified noisy pixels by non-noisy estimated values.
Restored Mean Absolute Error (RMAE) is used to measure
and compare the performance of the proposed algorithm. The
algorithm is compared with several non-linear algorithms
reported in the literature. Experimental results show that the
proposed algorithm produces better results compared to the
existing algorithms.
Blind Source Separation of Super and Sub-Gaussian Signals with ABC AlgorithmIDES Editor
Recently, several techniques have been presented
for blind source separation using linear or non-linear mixture
models. The problem is to recover the original source signals
without knowing apriori information about the mixture model.
Accordingly, several statistic and information theory-based
objective functions are used in literature to estimate the
original signals without providing mixture model. Here,
swarm intelligence played a major role to estimate the
separating matrix. In our work, we have considered the recent
optimization algorithm, called Artificial Bee Colony (ABC)
algorithm which is used to generate the separating matrix in
an optimal way. Here, Employee and onlooker bee and scout
bee phases are used to generate the optimal separating matrix
with lesser iterations. Here, new solutions are generated
according to the three major considerations such as, 1) all
elements of the separating matrix should be changed according
to best solution, 2) individual element of the separating matrix
should be changed to converge to the best optimal solution, 3)
Random solution should be added. These three considerations
are implemented in ABC algorithm to improve the
performance in Blind Source Separation (BSS). The
experimentation has been carried out using the speech signals
and the super and sub-Gaussian signal to validate the
performance. The proposed technique was compared with
Genetic algorithm in signal separation. From the result, it
was observed that ABC technique has outperformed existing
GA technique by achieving better fitness values and lesser
Euclidean distance.
Efficient Architecture for Variable Block Size Motion Estimation in H.264/AVCIDES Editor
This paper proposes an efficient VLSI architecture
for the implementation of variable block size motion
estimation (VBSME). To improve the performance video
compression the Variable Block Size Motion Estimation
(VBSME) is the critical path. Variable Block Size Motion
Estimation feature has been introduced in to the H.264/AVC.
This feature induces significant complexities into the design
of the H.264/AVC video codec. This paper we compare the
existing architectures for VBSME. An efficient architecture
to improve the performance of Spiral Search for Variable Size
Motion Estimation in H.264/AVC is proposed. Among various
architectures available for VBSME spiral search provides
hardware friendly data flow with efficient utilization of
resources. The proposed implementation is verified using the
MATLAB on foreman, coastguard and train sequences. The
proposed Adaptive thresholding technique reduces the average
number of computations significantly with negligible effect
on the video quality. The results are verified using hardware
implementation on Xilinx Virtex 4 it was able to achieve real
time video coding of 60 fps at 95.56 MHz CLK frequency.
Comparative Study of Morphological, Correlation, Hybrid and DCSFPSS based Mor...IDES Editor
This paper proposes comparative study of two basic
approaches such as Morphological Approach (MA) and
Correlation Approach (CA) and three modified algorithms
over the basic approaches for detection of micronatured defects
occurring in plain weave fabrics. A Hybrid of CA followed by
MA was developed and has shown to overcome the drawbacks
of the basic methods. As automation of MA using DC
Suppressed Fourier Power Spectrum Sum (DCSFPSS),
DCSFPSSMA could not yield improvement in Overall
Detection Accuracy (ODA) for micronatured defects,
automation of modified Hybrid Approach (HA) was proposed
leading to the development of Tribrid Approach (TA). Modified
Hybrid approach involves cascade operation of CA and MA
both automated using DCSFPSS. Texture periodicity of defect
free fabric was obtained using DCSFPSS which was extended
for the design and extraction of defect independent template
for CA and for the design of the size of structuring element
for morphological filtering process. Overall Detection
Accuracy was used by adopting simple binary based defect
search algorithm as the last step in the experimentation to
detect the defects. Overall Detection Accuracy was found to be
~100%/97.41%/ 98.7 % for 247 samples of warp break defect/
double pick/ normal samples and 96.1% /99% for 205 thick
place defect samples/normal samples belonging to two
different plain grey fabric classes. Robustness of the
performance of TA scheme was tested by comparing TA with
two traditional algorithms viz., CA and MA and our previously
proposed hybrid algorithm and DCSFPSSMA. This TA
algorithm outperformed when compared to CA-only, MA-only,
HA and DCSFPSSMA by yielding an overall ODA of more
than 98% for the defect and defect free samples of different
fabric classes. Secondly, the recognition of defect area less
than 1 mm2 which has not been reported in the literature yet,
was possible using this algorithm. We propose to use this
method as a means to grade the grey fabric similar to the
standard fabric grading system.
Estimation of IRI from PCI in Construction Work ZonesIDES Editor
Roughness is good evaluator of performance of road.
This paper presents a case study of IRI (International
Roughness Index) estimation at NH 67 during four laning of
Trichy - Tanjavur section. An attempt has been made to
evaluate the IRI of construction work zones using Levenberg-
Marquardt back-propagation training algorithm. A MATLAB
based model is developed, and the data from the case study are
used to train and test the developed model to predict IRI. The
models’ performances are evaluated through Correlation
coefficient (R2) and Mean Square Error (MSE).
Behavioural Investigation on the use of Nanosilica as An Additive in ConcreteIDES Editor
Influence of Nano science in the Civil Engineering
industry outbreaks significant solutions for numerous
unidentified blending of materials evolve from a Nano product,
which can create gigantic changes in the world of Concrete
both technically and economically. The Significance of
Nanosilica as an additive in my experimental research
congeals the behaviour of Concrete considerably. Essential
manipulations are carried out here by using a distinctive
methodology and by conducting various tests to innovate a
better performance concrete thereby found the enhancement
of its property. Nano silica as an additive in added mainly to
fill up the deviation arises with the addition of flyash, which
consequently deviates the strength after its initial setting
period. “Ref. [3]” This presence of Nanosilica constructs the
silica (S) in the sand, which ultimately reacts with calcium
hydrate (CH) in the cement at Nano scale to form C-S-H
bond as its improve the strengthening factor of concrete, which
are in turn helpful in the achieving high compressive strength
even in early days. Here the addition of Nanosilica are done
partially with an previously fly ash replaced concrete in a
gradual basis, as the comparative results of a Fly ash concrete
and Fly ash with Nanosilica added concrete are tested
experimentally. The flexural behaviour of the Nano concrete
found to be imperative part as analyzed from the Beam Column
joint test setup. It has been clearly concluded in the results
identified along with the ductility behaviour and the Load vs.
Deflection analysis done for the specimen casted. The standard
types of toughness test are carried out, which generated data
under specific loading conditions with respect to their
component design approaches. Also an overview on the
experimental tests conducted in relation with the strength
and durability of concrete were presented under the influence
of Nanosilica in concrete.
Opportunities and Challenges of Software CustomizationIDES Editor
Customization is a megatrend in today’s economy
and enables customers to buy products that meet their needs.
However, customization offers many more advantages. Thus,
a wide range of studies has attempted to analyze
customization. Unfortunately, these studies are either limited
to physical products or a particular effect of customization.
Moreover, there is no comparison of physical products and
software. We close this gap by merging the results of existing
studies. This comprehensive overview on the advantages of
software customization in the Business to Consumer (B2C)
area helps to explain the megatrend. Additionally, we highlight
challenges that should be addressed by future research. Our
results show that software customization is beneficial for
customers and companies in numerous ways. Due to its
characteristics, the immaterial product software is highly
suitable for customization. However, our analysis highlights
the great need for future research to facilitate software
customization.
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
The Roman Empire A Historical Colossus.pdfkaushalkr1407
The Roman Empire, a vast and enduring power, stands as one of history's most remarkable civilizations, leaving an indelible imprint on the world. It emerged from the Roman Republic, transitioning into an imperial powerhouse under the leadership of Augustus Caesar in 27 BCE. This transformation marked the beginning of an era defined by unprecedented territorial expansion, architectural marvels, and profound cultural influence.
The empire's roots lie in the city of Rome, founded, according to legend, by Romulus in 753 BCE. Over centuries, Rome evolved from a small settlement to a formidable republic, characterized by a complex political system with elected officials and checks on power. However, internal strife, class conflicts, and military ambitions paved the way for the end of the Republic. Julius Caesar’s dictatorship and subsequent assassination in 44 BCE created a power vacuum, leading to a civil war. Octavian, later Augustus, emerged victorious, heralding the Roman Empire’s birth.
Under Augustus, the empire experienced the Pax Romana, a 200-year period of relative peace and stability. Augustus reformed the military, established efficient administrative systems, and initiated grand construction projects. The empire's borders expanded, encompassing territories from Britain to Egypt and from Spain to the Euphrates. Roman legions, renowned for their discipline and engineering prowess, secured and maintained these vast territories, building roads, fortifications, and cities that facilitated control and integration.
The Roman Empire’s society was hierarchical, with a rigid class system. At the top were the patricians, wealthy elites who held significant political power. Below them were the plebeians, free citizens with limited political influence, and the vast numbers of slaves who formed the backbone of the economy. The family unit was central, governed by the paterfamilias, the male head who held absolute authority.
Culturally, the Romans were eclectic, absorbing and adapting elements from the civilizations they encountered, particularly the Greeks. Roman art, literature, and philosophy reflected this synthesis, creating a rich cultural tapestry. Latin, the Roman language, became the lingua franca of the Western world, influencing numerous modern languages.
Roman architecture and engineering achievements were monumental. They perfected the arch, vault, and dome, constructing enduring structures like the Colosseum, Pantheon, and aqueducts. These engineering marvels not only showcased Roman ingenuity but also served practical purposes, from public entertainment to water supply.
Ethnobotany and Ethnopharmacology:
Ethnobotany in herbal drug evaluation,
Impact of Ethnobotany in traditional medicine,
New development in herbals,
Bio-prospecting tools for drug discovery,
Role of Ethnopharmacology in drug evaluation,
Reverse Pharmacology.
How to Split Bills in the Odoo 17 POS ModuleCeline George
Bills have a main role in point of sale procedure. It will help to track sales, handling payments and giving receipts to customers. Bill splitting also has an important role in POS. For example, If some friends come together for dinner and if they want to divide the bill then it is possible by POS bill splitting. This slide will show how to split bills in odoo 17 POS.
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
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Students, digital devices and success - Andreas Schleicher - 27 May 2024..pptxEduSkills OECD
Andreas Schleicher presents at the OECD webinar ‘Digital devices in schools: detrimental distraction or secret to success?’ on 27 May 2024. The presentation was based on findings from PISA 2022 results and the webinar helped launch the PISA in Focus ‘Managing screen time: How to protect and equip students against distraction’ https://www.oecd-ilibrary.org/education/managing-screen-time_7c225af4-en and the OECD Education Policy Perspective ‘Students, digital devices and success’ can be found here - https://oe.cd/il/5yV