Defending against collaborative attacks by malicious nodes in mane ts a cooperative bait detection approach
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NS2 Projects for M. Tech, NS2 Projects in Vijayanagar, NS2 Projects in Bangalore, M. Tech Projects in Vijayanagar, M. Tech Projects in Bangalore, NS2 IEEE projects in Bangalore, IEEE 2015 NS2 Projects, WSN and MANET Projects, WSN and MANET Projects in Bangalore, WSN and MANET Projects in Vijayangar
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TRUST MODEL WITH DEFENSE SCHEME IN MANETS
The reliability of delivering packets through multi-hop intermediate nodes is a significant issue in the mobile ad hoc networks (MANETs). The distributed mobile nodes establish connections to form the MANET, which may include selfish and misbehaving nodes. Recommendation based trust management has been proposed in the literature as a mechanism to filter out the misbehaving nodes while searching for a packet delivery route. However, building a trust model that relies on the recommendations from other nodes in the network is vulnerable to the possible dishonest behaviour, such as bad-mouthing, ballot-stuffing, and collusion, of the recommending nodes. This paper investigates the problems of attacks posed by misbehaving nodes while propagating recommendations in the existing trust models. We propose a recommendation-based trust model with a defence scheme that utilises clustering technique to dynamically filter attacks related to dishonest recommendations within certain time based on number of interactions, compatibility of information and node closeness. The model is empirically tested in several mobile and disconnected topologies in which nodes experience changes in their neighbourhoods and consequently face frequent route changes. The empirical analysis demonstrates robustness and accuracy of the trust model in a dynamic MANET environment
a probabilistic misbehavior detection scheme toward efficient trust establish...
LOGIC SYSTEMS
1st Floor, Reddy Comlex, Opp. SPencers, Near Satyam Theatre, Ameerpet, Hyderabad
9533694296,9703109334
logicsystemsprojects@gmail.com
www.logicsystems.org.in
A Study on -Risk Aware Mitigation for MANET Routing Attacks
https://irjet.net/archives/V4/i11/IRJET-V4I11309.pdf
Defending against collaborative attacks by
HEAD OFFICE (CHENNAI):
JP INFOTECH,
Old No. 31, New No: 86, 1st Floor, 1st Avenue,
Ashok Nagar (Ashok Pillar),
Chennai – 83.
Landmark: Next to Kotak Mahendra Bank / Bharath Scans
MOBILE: (0)9952649690
LANDLINE: (044) 43012642
E-MAIL: jpinfotechprojects@gmail.com
PUDUCHERRY / PONDICHERRY OFFICE:
JP INFOTECH,
#45, Kamaraj Salai, Thattanchavady,
Pondy-Tindivanam High Road,
Puducherry/Pondicherry – 605009.
Landmark: Opp. To Thattanchavady Industrial Estate and Next to VVP Nagar Arch.
MOBILE: (0)9952649690 / (0) 8608600246
LANDLINE: (0413)4300535
E-MAIL: jpinfotechprojects@gmail.com
A COMBINATION OF TEMPORAL SEQUENCE LEARNING AND DATA DESCRIPTION FOR ANOMALYB...
Through continuous observation and modelling of normal behavior in networks, Anomaly-based Network Intrusion Detection System (A-NIDS) offers a way to find possible threats via deviation from the normal model. The analysis of network traffic based on time series model has the advantage of exploiting the relationship between packages within network traffic and observing trends of behaviors over a period of time. It will generate new sequences with good features that support anomaly detection in network traffic and provide the ability to detect new attacks. Besides, an anomaly detection technique, which focuses on the normal data and aims to build a description of it, will be an effective technique for anomaly detection in imbalanced data. In this paper, we propose a combination model of Long Short Term Memory (LSTM) architecture for processing time series and a data description Support Vector Data Description (SVDD) for anomaly detection in A-NIDS to obtain the advantages of them. This model helps parameters in LSTM and SVDD are jointly trained with joint optimization method. Our experimental results with KDD99 dataset show that the proposed combined model obtains high performance in intrusion detection, especially DoS and Probe attacks with 98.0% and 99.8%, respectively.
TRUST ORIENTED SECURITY FRAMEWORK FOR AD HOC NETWORK
An ad hoc network is a group of wireless mobile hosts that are connected momentarily through
wireless connections in the dearth of any centralized control or some supporting services. The
mobile ad hoc network is at risk by its environment because of the vulnerabilities at channel and
node level. The conventional security mechanisms deals with only protecting resources from unauthorized access, but are not capable to safeguard the network from who offer resources. Adding trust to the on hand security infrastructures would improvise the security of these environments. A trust oriented security framework for adhoc network using ontological engineering approach is proposed by modeling ad hoc network, the OLSR (Optimized Link State Routing) protocol and trust model as OWL (Ontology Web language) ontologies, which are integrated using Jena. In this model, a trustor can calculate its trust about trustee and use the calculated trust values to make decisions depending on the context of the application or interaction about granting or rejecting it. A number of experiments with a potential implementation of suggested framework are performed to validate the characteristics of a trust oriented model suggested by the literature by this framework
Recommended
TRUST MODEL WITH DEFENSE SCHEME IN MANETS
The reliability of delivering packets through multi-hop intermediate nodes is a significant issue in the mobile ad hoc networks (MANETs). The distributed mobile nodes establish connections to form the MANET, which may include selfish and misbehaving nodes. Recommendation based trust management has been proposed in the literature as a mechanism to filter out the misbehaving nodes while searching for a packet delivery route. However, building a trust model that relies on the recommendations from other nodes in the network is vulnerable to the possible dishonest behaviour, such as bad-mouthing, ballot-stuffing, and collusion, of the recommending nodes. This paper investigates the problems of attacks posed by misbehaving nodes while propagating recommendations in the existing trust models. We propose a recommendation-based trust model with a defence scheme that utilises clustering technique to dynamically filter attacks related to dishonest recommendations within certain time based on number of interactions, compatibility of information and node closeness. The model is empirically tested in several mobile and disconnected topologies in which nodes experience changes in their neighbourhoods and consequently face frequent route changes. The empirical analysis demonstrates robustness and accuracy of the trust model in a dynamic MANET environment
a probabilistic misbehavior detection scheme toward efficient trust establish...
LOGIC SYSTEMS
1st Floor, Reddy Comlex, Opp. SPencers, Near Satyam Theatre, Ameerpet, Hyderabad
9533694296,9703109334
logicsystemsprojects@gmail.com
www.logicsystems.org.in
A Study on -Risk Aware Mitigation for MANET Routing Attacks
https://irjet.net/archives/V4/i11/IRJET-V4I11309.pdf
Defending against collaborative attacks by
HEAD OFFICE (CHENNAI):
JP INFOTECH,
Old No. 31, New No: 86, 1st Floor, 1st Avenue,
Ashok Nagar (Ashok Pillar),
Chennai – 83.
Landmark: Next to Kotak Mahendra Bank / Bharath Scans
MOBILE: (0)9952649690
LANDLINE: (044) 43012642
E-MAIL: jpinfotechprojects@gmail.com
PUDUCHERRY / PONDICHERRY OFFICE:
JP INFOTECH,
#45, Kamaraj Salai, Thattanchavady,
Pondy-Tindivanam High Road,
Puducherry/Pondicherry – 605009.
Landmark: Opp. To Thattanchavady Industrial Estate and Next to VVP Nagar Arch.
MOBILE: (0)9952649690 / (0) 8608600246
LANDLINE: (0413)4300535
E-MAIL: jpinfotechprojects@gmail.com
A COMBINATION OF TEMPORAL SEQUENCE LEARNING AND DATA DESCRIPTION FOR ANOMALYB...
Through continuous observation and modelling of normal behavior in networks, Anomaly-based Network Intrusion Detection System (A-NIDS) offers a way to find possible threats via deviation from the normal model. The analysis of network traffic based on time series model has the advantage of exploiting the relationship between packages within network traffic and observing trends of behaviors over a period of time. It will generate new sequences with good features that support anomaly detection in network traffic and provide the ability to detect new attacks. Besides, an anomaly detection technique, which focuses on the normal data and aims to build a description of it, will be an effective technique for anomaly detection in imbalanced data. In this paper, we propose a combination model of Long Short Term Memory (LSTM) architecture for processing time series and a data description Support Vector Data Description (SVDD) for anomaly detection in A-NIDS to obtain the advantages of them. This model helps parameters in LSTM and SVDD are jointly trained with joint optimization method. Our experimental results with KDD99 dataset show that the proposed combined model obtains high performance in intrusion detection, especially DoS and Probe attacks with 98.0% and 99.8%, respectively.
TRUST ORIENTED SECURITY FRAMEWORK FOR AD HOC NETWORK
An ad hoc network is a group of wireless mobile hosts that are connected momentarily through
wireless connections in the dearth of any centralized control or some supporting services. The
mobile ad hoc network is at risk by its environment because of the vulnerabilities at channel and
node level. The conventional security mechanisms deals with only protecting resources from unauthorized access, but are not capable to safeguard the network from who offer resources. Adding trust to the on hand security infrastructures would improvise the security of these environments. A trust oriented security framework for adhoc network using ontological engineering approach is proposed by modeling ad hoc network, the OLSR (Optimized Link State Routing) protocol and trust model as OWL (Ontology Web language) ontologies, which are integrated using Jena. In this model, a trustor can calculate its trust about trustee and use the calculated trust values to make decisions depending on the context of the application or interaction about granting or rejecting it. A number of experiments with a potential implementation of suggested framework are performed to validate the characteristics of a trust oriented model suggested by the literature by this framework
Improving Network Security in MANETS using IEEACK
Mobile ad hoc networks (MANETs) have attracted much attention due to their mobility and ease of deployment. However, the wireless and dynamic natures render them more vulnerable to various types of security attacks than the wired networks. The major challenge is to guarantee secure network services. We have identified the inadequate nature of EAACK in scenarios of link breakage, source maliciousness and partial packet dropping and hence we propose an improved algorithm called improved EAACK to tackle the security issues. High mobility of MANET nodes contributes to frequent link breakages in the network, which leads to path failures and route discovery processes. Route discovery is initialized through a broadcast mechanism usually. But, the overheads created through this cannot be neglected. The simulation results show that IEEACK scheme can prevent attacks from malicious nodes and improve the security performance of the whole network, especially in terms of the packet delivery ratio, the average end-to-end delay, the routing packet overhead and detection ratio of malicious nodes.
Privacy Preserving and Detection Techniques for Malicious Packet Dropping in ...
https://irjet.net/archives/V4/i6/IRJET-V4I6740.pdf
An Efficient Mechanism of Handling MANET Routing Attacks using Risk Aware Mit...
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
Techniques of lattice based
Creation of smart spaces and scaling of devices to achieve miniaturization in pervasive computing environments has put forth a question on the degree of security of such devices. Security being a unique challenge in such environments, solution demands scalability, access control, heterogeneity, trust. Most of the existing cryptographic solutions widely in use rely on the hardness of factorization and number theory
problems. With the increase in cryptanalytic attacks these schemes will soon become insecure. We need an alternate security mechanism which is as hard as the existing number theoretic approaches. In this work, we discuss the aspects of Lattice based cryptography as a new dimension of providing security whose strength lies in the hardness of lattice problems. We discuss about a cryptosystem whose security relies on high lattice dimension.
Development of a secure routing protocol using game theory model in mobile ad...
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NS2 Projects for M. Tech, NS2 Projects in Vijayanagar, NS2 Projects in Bangalore, M. Tech Projects in Vijayanagar, M. Tech Projects in Bangalore, NS2 IEEE projects in Bangalore, IEEE 2015 NS2 Projects, WSN and MANET Projects, WSN and MANET Projects in Bangalore, WSN and MANET Projects in VijayangarModelling of A Trust and Reputation Model in Wireless Networks
Security is the major challenge for Wireless Sensor Networks (WSNs). The sensor nodes are deployed in non controlled environment, facing the danger of information leakage, adversary attacks and other threats. Trust and Reputation models are solutions for this problem and to identify malicious, selfish and compromised nodes. This paper aims to evaluate varying collusion effect with respect to static (SW), dynamic (DW), static with collusion (SWC), dynamic with collusion (DWC) and oscillating wireless sensor networks to derive the joint resultant of Eigen Trust Model. An attempt has been made for the same by comparing aforementioned networks that are purely dedicated to protect the WSNs from adversary attacks and maintain the security issues. The comparison has been made with respect to accuracy and path length and founded that, collusion for wireless sensor networks seems intractable with the static and dynamic WSNs when varied with specified number of fraudulent nodes in the scenario. Additionally, it consumes more energy and resources in oscillating and collusive environments.
Secure and Trustable Routing in WSN for End to End Communication
In WSNs, end-to-end data communication security is required to combine data from source to destination. Combined data are transmitted in a path exist of connected links. All previous end to end routing protocols propose solutions in which each n every link uses a pair wise shared key to protect data. In this paper, we propose a novel design of secure end to end data communication. We give a newly published group key pre distribution scheme in this design, such that there is a unique group key, called path key, to protect data transmitted in the whole routing path. Specifically, instead of using several pair wise shared keys to repeatedly perform encryption and decryption over every link, our proposed scheme uses a unique source to destination path key to protect data transmitted over the path. Our proposed protocol can authenticate sensors to establish the path and to establish the path key. The main advantage using our protocol is to reduce the time needed to process data by middle sensors. Moreover, our proposed authentication scheme has complexity O(n), where n is the number of sensors in a communication path, which is several from all authentication schemes till now, which are one-to-one authentications with complexity O(n2). The security of the protocol is computationally secure. Active Trust can importantly improve the data route success probability and ability opposite black hole attacks and can optimize network lifetime.
Novel framework using dynamic passphrase towards secure and energy-efficient ...
At Mobile Adhoc Network (MANET) has been long-researched topic in adhoc network owing to the associated advantages in its cost-effective application as well as consistent loophopes owing to its inherent charecteristics. This manuscript draws a relationship between the energy factor and security factor which has not been emphasized in any existing studies much. Review of existing security approaches shows that they are highly attack specific, uses complex encryption, and overlooks the involvement of energy factor in it. Therefore, the proposed system introduces a novel mechanism where security tokens and passphrases are utilized in order to offer better security. The proposed system also introduces the usage of an agent node which communications with mobile nodes using group-based communication system thereby ensuring reduced computational effort of mobile nodes towards establishing secured communication. The outcome shows proposed system offers better outcome in contrast to existing system.
An efficient distributed trust model for wireless sensor networks
NS2 Projects for M. Tech, NS2 Projects in Vijayanagar, NS2 Projects in Bangalore, M. Tech Projects in Vijayanagar, M. Tech Projects in Bangalore, NS2 IEEE projects in Bangalore, IEEE 2015 NS2 Projects, WSN and MANET Projects, WSN and MANET Projects in Bangalore, WSN and MANET Projects in Vijayangar
Intrusion detection with Parameterized Methods for Wireless Sensor Networks
Current network intrusion detection systems lack adaptability to the frequently changing network environments. Furthermore, intrusion detection in the new distributed architectures is now a major requirement. In this paper, we propose two Adaboost based intrusion detection algorithms. In the first algorithm, a traditional online Adaboost process is used where decision stumps are used as weak classifiers. In the second algorithm, an improved online Adaboost process is proposed, and online Gaussian mixture models (GMMs) are used as weak classifiers. We further propose a distributed intrusion detection framework, in which a local parameterized detection model is constructed in each node using the online Adaboost algorithm. A global detection model is constructed in each node by combining the local parametric models using a small number of samples in the node. This combination is achieved using an algorithm based on particle swarm optimization (PSO) and support vector machines. The global model in each node is used to detect intrusions. Experimental results show that the improved online Adaboost process with GMMs obtains a higher detection rate and a lower false alarm rate than the traditional online Adaboost process that uses decision stumps. Both the algorithms outperform existing intrusion detection algorithms. It is also shown that our PSO, and SVM-based algorithm effectively combines the local detection models into the global model in each node; the global model in a node can handle the intrusion types that are found in other nodes, without sharing the samples of these intrusion types.
54
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
DATA AGGREGATION AND PRIVACY FOR POLICE PATROLS
With a widespread growth in the potential applications of Wireless Sensor Networks, the need for reliable
security mechanisms for them has increased manifold. This paper proposes a scheme, Privacy for Police
Patrols (PPP), to provide secure data aggregation that relies on multilevel routing. Privacy factors have
been identified and implemented. Aggregates are prepared and the summary of information is gathered
and stored in a repository. The above defined approaches are integrated in police patrol applications and
preliminary results are obtained.
Data Science for social welfare-measurement and efficiency
Presentation done by Ajay Ohri at the Partners day of the Shared Value Initiative India
Enhanced antsec framework with cluster based cooperative caching in mobile ad...
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NS2 Projects for M. Tech, NS2 Projects in Vijayanagar, NS2 Projects in Bangalore, M. Tech Projects in Vijayanagar, M. Tech Projects in Bangalore, NS2 IEEE projects in Bangalore, IEEE 2015 NS2 Projects, WSN and MANET Projects, WSN and MANET Projects in Bangalore, WSN and MANET Projects in VijayangarHigh throughput reliable multicast in multi-hop wireless mesh networks
NS2 Projects for M. Tech, NS2 Projects in Vijayanagar, NS2 Projects in Bangalore, M. Tech Projects in Vijayanagar, M. Tech Projects in Bangalore, NS2 IEEE projects in Bangalore, IEEE 2015 NS2 Projects, WSN and MANET Projects, WSN and MANET Projects in Bangalore, WSN and MANET Projects in Vijayangar
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Improving Network Security in MANETS using IEEACK
Mobile ad hoc networks (MANETs) have attracted much attention due to their mobility and ease of deployment. However, the wireless and dynamic natures render them more vulnerable to various types of security attacks than the wired networks. The major challenge is to guarantee secure network services. We have identified the inadequate nature of EAACK in scenarios of link breakage, source maliciousness and partial packet dropping and hence we propose an improved algorithm called improved EAACK to tackle the security issues. High mobility of MANET nodes contributes to frequent link breakages in the network, which leads to path failures and route discovery processes. Route discovery is initialized through a broadcast mechanism usually. But, the overheads created through this cannot be neglected. The simulation results show that IEEACK scheme can prevent attacks from malicious nodes and improve the security performance of the whole network, especially in terms of the packet delivery ratio, the average end-to-end delay, the routing packet overhead and detection ratio of malicious nodes.
Privacy Preserving and Detection Techniques for Malicious Packet Dropping in ...
https://irjet.net/archives/V4/i6/IRJET-V4I6740.pdf
An Efficient Mechanism of Handling MANET Routing Attacks using Risk Aware Mit...
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
Techniques of lattice based
Creation of smart spaces and scaling of devices to achieve miniaturization in pervasive computing environments has put forth a question on the degree of security of such devices. Security being a unique challenge in such environments, solution demands scalability, access control, heterogeneity, trust. Most of the existing cryptographic solutions widely in use rely on the hardness of factorization and number theory
problems. With the increase in cryptanalytic attacks these schemes will soon become insecure. We need an alternate security mechanism which is as hard as the existing number theoretic approaches. In this work, we discuss the aspects of Lattice based cryptography as a new dimension of providing security whose strength lies in the hardness of lattice problems. We discuss about a cryptosystem whose security relies on high lattice dimension.
Development of a secure routing protocol using game theory model in mobile ad...
Development of a secure routing protocol using game theory model in mobile ad...LogicMindtech Nologies
NS2 Projects for M. Tech, NS2 Projects in Vijayanagar, NS2 Projects in Bangalore, M. Tech Projects in Vijayanagar, M. Tech Projects in Bangalore, NS2 IEEE projects in Bangalore, IEEE 2015 NS2 Projects, WSN and MANET Projects, WSN and MANET Projects in Bangalore, WSN and MANET Projects in VijayangarModelling of A Trust and Reputation Model in Wireless Networks
Security is the major challenge for Wireless Sensor Networks (WSNs). The sensor nodes are deployed in non controlled environment, facing the danger of information leakage, adversary attacks and other threats. Trust and Reputation models are solutions for this problem and to identify malicious, selfish and compromised nodes. This paper aims to evaluate varying collusion effect with respect to static (SW), dynamic (DW), static with collusion (SWC), dynamic with collusion (DWC) and oscillating wireless sensor networks to derive the joint resultant of Eigen Trust Model. An attempt has been made for the same by comparing aforementioned networks that are purely dedicated to protect the WSNs from adversary attacks and maintain the security issues. The comparison has been made with respect to accuracy and path length and founded that, collusion for wireless sensor networks seems intractable with the static and dynamic WSNs when varied with specified number of fraudulent nodes in the scenario. Additionally, it consumes more energy and resources in oscillating and collusive environments.
Secure and Trustable Routing in WSN for End to End Communication
In WSNs, end-to-end data communication security is required to combine data from source to destination. Combined data are transmitted in a path exist of connected links. All previous end to end routing protocols propose solutions in which each n every link uses a pair wise shared key to protect data. In this paper, we propose a novel design of secure end to end data communication. We give a newly published group key pre distribution scheme in this design, such that there is a unique group key, called path key, to protect data transmitted in the whole routing path. Specifically, instead of using several pair wise shared keys to repeatedly perform encryption and decryption over every link, our proposed scheme uses a unique source to destination path key to protect data transmitted over the path. Our proposed protocol can authenticate sensors to establish the path and to establish the path key. The main advantage using our protocol is to reduce the time needed to process data by middle sensors. Moreover, our proposed authentication scheme has complexity O(n), where n is the number of sensors in a communication path, which is several from all authentication schemes till now, which are one-to-one authentications with complexity O(n2). The security of the protocol is computationally secure. Active Trust can importantly improve the data route success probability and ability opposite black hole attacks and can optimize network lifetime.
Novel framework using dynamic passphrase towards secure and energy-efficient ...
At Mobile Adhoc Network (MANET) has been long-researched topic in adhoc network owing to the associated advantages in its cost-effective application as well as consistent loophopes owing to its inherent charecteristics. This manuscript draws a relationship between the energy factor and security factor which has not been emphasized in any existing studies much. Review of existing security approaches shows that they are highly attack specific, uses complex encryption, and overlooks the involvement of energy factor in it. Therefore, the proposed system introduces a novel mechanism where security tokens and passphrases are utilized in order to offer better security. The proposed system also introduces the usage of an agent node which communications with mobile nodes using group-based communication system thereby ensuring reduced computational effort of mobile nodes towards establishing secured communication. The outcome shows proposed system offers better outcome in contrast to existing system.
An efficient distributed trust model for wireless sensor networks
NS2 Projects for M. Tech, NS2 Projects in Vijayanagar, NS2 Projects in Bangalore, M. Tech Projects in Vijayanagar, M. Tech Projects in Bangalore, NS2 IEEE projects in Bangalore, IEEE 2015 NS2 Projects, WSN and MANET Projects, WSN and MANET Projects in Bangalore, WSN and MANET Projects in Vijayangar
Intrusion detection with Parameterized Methods for Wireless Sensor Networks
Current network intrusion detection systems lack adaptability to the frequently changing network environments. Furthermore, intrusion detection in the new distributed architectures is now a major requirement. In this paper, we propose two Adaboost based intrusion detection algorithms. In the first algorithm, a traditional online Adaboost process is used where decision stumps are used as weak classifiers. In the second algorithm, an improved online Adaboost process is proposed, and online Gaussian mixture models (GMMs) are used as weak classifiers. We further propose a distributed intrusion detection framework, in which a local parameterized detection model is constructed in each node using the online Adaboost algorithm. A global detection model is constructed in each node by combining the local parametric models using a small number of samples in the node. This combination is achieved using an algorithm based on particle swarm optimization (PSO) and support vector machines. The global model in each node is used to detect intrusions. Experimental results show that the improved online Adaboost process with GMMs obtains a higher detection rate and a lower false alarm rate than the traditional online Adaboost process that uses decision stumps. Both the algorithms outperform existing intrusion detection algorithms. It is also shown that our PSO, and SVM-based algorithm effectively combines the local detection models into the global model in each node; the global model in a node can handle the intrusion types that are found in other nodes, without sharing the samples of these intrusion types.
54
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
DATA AGGREGATION AND PRIVACY FOR POLICE PATROLS
With a widespread growth in the potential applications of Wireless Sensor Networks, the need for reliable
security mechanisms for them has increased manifold. This paper proposes a scheme, Privacy for Police
Patrols (PPP), to provide secure data aggregation that relies on multilevel routing. Privacy factors have
been identified and implemented. Aggregates are prepared and the summary of information is gathered
and stored in a repository. The above defined approaches are integrated in police patrol applications and
preliminary results are obtained.
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Similar to Defending against collaborative attacks by malicious nodes in mane ts a cooperative bait detection approach
A Novel Approach To Detect Trustworthy Nodes Using Audit Based Scheme For WSN
ABSTRACT: In multi-hop ad hoc networks there exists a problem of identifying and isolating misbehaving nodes which refuses to forward packets. Audit-based Misbehavior Detection (AMD) is a comprehensive system that effectively and efficiently isolates both continuous and selective packet droppers. The AMD system integrates reputation management, trustworthy route discovery, and identification of misbehaving nodes based on behavioral audits. Compared to previous methods, AMD evaluates node behavior on a per-packet basis, without employing energy-expensive overhearing techniques or intensive acknowledgment schemes. Moreover, AMD can detect selective dropping attacks even if end-to-end traffic is encrypted and can be applied to multichannel networks or networks consisting of nodes with directional antennas. This work implements the AMD approach by considering the rushing attack. The analysis of the results confirms that AMD based method with rushing attack performs better as compared to the non rushing attack.
Defending against collaborative attacks by
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SECURE ROUTING PROTOCOL TO MITIGATE ATTACKS BY USING BLOCKCHAIN TECHNOLOGY IN...
MANET is a collection of mobile nodes that communicate through wireless networks as they move from one
point to another. MANET is an infrastructure-less network with a changeable topology; as a result, it is
very susceptible to attacks. MANET attack prevention represents a serious difficulty. Malicious network
nodes are the source of network-based attacks. In a MANET, attacks can take various forms, and each one
alters the network's operation in its unique way. In general, attacks can be separated into two categories:
those that target the data traffic on a network and those that target the control traffic. This article explains
the many sorts of assaults, their impact on MANET, and the MANET-based defence measures that are
currently in place. The suggested SRA that employs blockchain technology (SRABC) protects MANET from
attacks and authenticates nodes. The secure routing algorithm (SRA) proposed by blockchain technology
safeguards control and data flow against threats. This is achieved by generating a Hash Function for every
transaction. We will begin by discussing the security of the MANET. This article's second section explores
the role of blockchain in MANET security. In the third section, the SRA is described in connection with
blockchain. In the fourth phase, PDR and Throughput are utilised to conduct an SRA review using
Blockchain employing PDR and Throughput. The results suggest that the proposed technique enhances
MANET security while concurrently decreasing delay. The performance of the proposed technique is
analysed and compared to the routing protocols Q-AODV and DSR.
Secure Routing Protocol to Mitigate Attacks by using Blockchain Technology in...
MANET is a collection of mobile nodes that communicate through wireless networks as they move from one point to another. MANET is an infrastructure-less network with a changeable topology; as a result, it is very susceptible to attacks. MANET attack prevention represents a serious difficulty. Malicious network nodes are the source of network-based attacks. In a MANET, attacks can take various forms, and each one alters the network's operation in its unique way. In general, attacks can be separated into two categories: those that target the data traffic on a network and those that target the control traffic. This article explains the many sorts of assaults, their impact on MANET, and the MANET-based defence measures that are currently in place. The suggested SRA that employs blockchain technology (SRABC) protects MANET from attacks and authenticates nodes. The secure routing algorithm (SRA) proposed by blockchain technology safeguards control and data flow against threats. This is achieved by generating a Hash Function for every transaction. We will begin by discussing the security of the MANET. This article's second section explores the role of blockchain in MANET security. In the third section, the SRA is described in connection with blockchain. In the fourth phase, PDR and Throughput are utilised to conduct an SRA review using Blockchain employing PDR and Throughput. The results suggest that the proposed technique enhances MANET security while concurrently decreasing delay. The performance of the proposed technique is analysed and compared to the routing protocols Q-AODV and DSR.
JPN1422 Defending Against Collaborative Attacks by Malicious Nodes in MANETs...
Get the latest IEEE ns2 projects in JP INFOTECH; we are having following category wise projects like Industrial Informatics, Vehicular Technology, Networking, WSN and Manet.
For More Details:
http://jpinfotech.org/final-year-ieee-projects/2014-ieee-projects/ns2-projects/
BYZANTINE BEHAVIOUR (B2) – MITIGATING MIDWAY MULTICAST MISBEHAVIOUR (M4) IN A...
Ad-hoc networks are an emerging area of mobile computing and an efficient paradigm for multicast communication. The security challenges faced by the network due to their inherent unique characteristics are exacerbated in case of multicast communication. Group communication in ad hoc network is susceptible to a host of outsider and insider attacks. The security solutions proposed for the outsider attack cannot be directly applied to the insider attack due to their disparate behavior. The compromise and subversion of the authenticated, trusted and participating node in the network leads to Byzantine attack or behavior. Attacks where adversaries have full control of a number of authenticated devices and behave arbitrarily to disrupt the multicast routing are referred to as Byzantine attacks. Online auction network inherently embracing multicast technology has been taken as the case study. The implications of the Byzantine attack in the online auction Network have been studied. Besides the existing network performance parameters like delay, jitter, throughput, Packet Delivery Ratio (PDR) another parameter
by name Immediate Neighbor Aware Vouch Count ( INAVC) is included to proactively select a fault free multicast route. This proactive parameter is dynamic and reflects the true multicast architecture in adhoc network thereby enabling to instantly prune the Byzantine adversary. Providing robust and resilient defense solutions to subvert this attack in auction Network becomes the focus of this paper.
Defending against collaborative attacks by malicious nodes in manets a cooper...
Defending against collaborative attacks by malicious nodes in manets a cooperative bait detection approach || 2015-2016 IEEE NS2 Projects Training
Contact: IIS TECHNOLOGIES
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mail:info@iistechnologies.in
Detection of suspected nodes in MANET
Mobile ad hoc network (MANETs) is an emerging
area with practical applications. One such field concerns
mobile ad hoc networks (MANETs) in which mobile nodes
organize themselves in a network without the help of any
predefined infrastructure. Securing MANETs is an important
part of deploying and utilizing them, since them are often
used in critical applications where data and communications
integrity in important. Existing solutions for wireless
networks can be used to obtain a certain level of such security.
Nevertheless, these solutions may not always be sufficient, as
ad-hoc networks have their own vulnerabilities that cannot
be addressed by these solutions. To obtain an acceptable level
of security in such a context, traditional security solutions
should be coupled with an intrusion detection mechanism.
We propose using a quantitative method to detect intrusion in
MANETS with mobile nodes. Our method is a behavioral
anomaly based system, which makes it dynamic, scalable,
configurable and robust. Finally, we verify our method by
running ns2 simulations with mobile nodes using Ad-hoc ondemand
Distance Vector (AODV) routing. It is observed that
the malicious node detection rate is very good, and the false
positive detection rate is low
Consensus Routing And Environmental Discrete Trust Based Secure AODV in MANETs
The Mobile Adhoc Network (MANET) is a wireless network model for infrastructure-less communication, and it provides numerous applications in different areas. The MANET is vulnerable to a Black-hole attack, and it affects routing functionality by dropping all the incoming packets purposefully. The Black-hole attackers pretend that it always has the best path to the destination node to mislead the source nodes. Trust is the critical factor for detecting and isolating the Black-hole attackers from the network. However, the harsh channel conditions make it difficult to differentiate the Black-hole routing activities and accurate trust measurement. Hence, incorporating the consensus-based trust evidence collection from the neighbouring nodes improves the accuracy of trust. For improving the accuracy of trust, this work suggests Consensus Routing and Environmental DIscrete Trust (CREDIT) Based Secure AODV. The CREDIT incorporates Discrete and Consensus trust information. The Discrete parameters represent the specific characteristics of the Black-hole attacks, such as routing behaviour, hop count deviation, and sequence number deviation. The direct trust accurately differentiates the Black-hole attackers using Discrete parameters, only when the nodes perform sufficient communication between the nodes. To solve such issues, the CREDIT includes the Consensus-based trust information. However, secure routing against the Black-hole attack is challenging due to incomplete preferences. The in-degree centrality and Importance degree measurement on the collected consensus-based trust from decisionmakers solve the incomplete preference issue as well as improves the accuracy of trust. The performance of the proposed scheme is evaluated using Network Simulator-2 (NS2). From the simulation results, it is proved that the detection accuracy and throughput of the proposed CREDIT are substantially high and the proposed CREDIT scheme outperforms the existing work.
A New Approach for Improving Performance of Intrusion Detection System over M...
http://www.iosrjournals.org/iosr-jce/pages/v11i2.html
Trust Metric-Based Anomaly Detection Via Deep Deterministic Policy Gradient R...
Addressing real-time network security issues is paramount due to the rapidly expanding IoT jargon. The erratic rise in usage of inadequately secured IoT- based sensory devices like wearables of mobile users, autonomous vehicles, smartphones and appliances by a larger user community is fuelling the need for a trustable, super-performant security framework. An efficient anomaly detection system would aim to address the anomaly detection problem by devising a competent attack detection model. This paper delves into the Deep Deterministic Policy Gradient (DDPG) approach, a promising Reinforcement Learning platform to combat noisy sensor samples which are instigated by alarming network attacks. The authors propose an enhanced DDPG approach based on trust metrics and belief networks, referred to as Deep Deterministic Policy Gradient Belief Network (DDPG-BN). This deep-learning-based approach is projected as an algorithm to provide “Deep-Defense” to the plethora of network attacks. Confidence interval is chosen as the trust metric to decide on the termination of sensor sample collection. Once an enlisted attack is detected, the collection of samples from the particular sensor will automatically cease. The evaluations and results of the experiments highlight a better detection accuracy of 98.37% compared to its counterpart conventional DDPG implementation of 97.46%. The paper also covers the work based on a contemporary Deep Reinforcement Learning (DRL) algorithm, the Actor Critic (AC). The proposed deep learning binary classification model is validated using the NSL-KDD dataset and the performance is compared to a few deep learning implementations as well.
Trust Metric-Based Anomaly Detection via Deep Deterministic Policy Gradient R...
Addressing real-time network security issues is paramount due to the rapidly expanding IoT jargon. The erratic rise in usage of inadequately secured IoT- based sensory devices like wearables of mobile users, autonomous vehicles, smartphones and appliances by a larger user community is fuelling the need for a trustable, super-performant security framework. An efficient anomaly detection system would aim to address the anomaly detection problem by devising a competent attack detection model. This paper delves into the Deep Deterministic Policy Gradient (DDPG) approach, a promising Reinforcement Learning platform to combat noisy sensor samples which are instigated by alarming network attacks. The authors propose an enhanced DDPG approach based on trust metrics and belief networks, referred to as Deep Deterministic Policy Gradient Belief Network (DDPG-BN). This deep-learning-based approach is projected as an algorithm to provide “Deep-Defense” to the plethora of network attacks. Confidence interval is chosen as the trust metric to decide on the termination of sensor sample collection. Once an enlisted attack is detected, the collection of samples from the particular sensor will automatically cease. The evaluations and results of the experiments highlight a better detection accuracy of 98.37% compared to its counterpart conventional DDPG implementation of 97.46%. The paper also covers the work based on a contemporary Deep Reinforcement Learning (DRL) algorithm, the Actor Critic (AC). The proposed deep learning binary classification model is validated using the NSL-KDD dataset and the performance is compared to a few deep learning implementations as well.
Proposed Agent Based Black hole Node Detection Algorithm for Ad-Hoc Wireless...
A Mobile ad-hoc network (MANET) is a latest and eme
rging Research topic among researchers. The
reason behind the popularity of MANET is flexibilit
y and independence of network infrastructure. MANET
has some unique characteristic like dynamic network
topology, limited power and limited bandwidth for
communication. MANET has more challenge compare to
any other conventional network. However the
dynamical network topology of MANETs, infrastructur
e-less property and lack of certificate authority m
ake
the security problems of MANETs need to pay more at
tention. This paper represents review of layer wise
security attacks. It also discussed the issues and
challenges of mobile ad hoc network. On the importa
nce of
security issues, this paper proposed intrusion dete
ction framework for detecting network layer threats
such
as black hole attack.
A Novel Classification via Clustering Method for Anomaly Based Network Intrus...
Intrusion detection in the internet is an active
area of research. Intruders can be classified into two
types, namely; external intruders who are unauthorized
users of the computers they attack, and internal
intruders, who have permission to access the system but
with some restrictions. The aim of this paper is to present
a methodology to recognize attacks during the normal
activities in a system. A novel classification via sequential
information bottleneck (sIB) clustering algorithm has
been proposed to build an efficient anomaly based
network intrusion detection model. We have compared
our proposed method with other clustering algorithms
like X-Means, Farthest First, Filtered clusters, DBSCAN,
K-Means, and EM (Expectation-Maximization)
clustering in order to find the suitability of our proposed
algorithm. A subset of KDDCup 1999 intrusion detection
benchmark dataset has been used for the experiment.
Results show that the proposed method is efficient in
terms of detection accuracy, low false positive rate in
comparison to the other existing methods.
Intelligent black hole detection in mobile AdHoc networks
Security is a critical and challenging issue in MANET due to its open-nature characteristics such as: mobility, wireless communications, self-organizing and dynamic topology. MANETs are commonly the target of black hole attacks. These are launched by malicious nodes that join the network to sabotage and drain it of its resources. Black hole nodes intercept exchanged data packets and simply drop them. The black hole node uses vulnerabilities in the routing protocol of MANETS to declare itself as the closest relay node to any destination. This work proposed two detection protocols based on the collected dataset, namely: the BDD-AODV and Hybrid protocols. Both protocols were built on top of the original AODV. The BDD-AODV protocol depends on the features collected for the prevention and detection of black hole attack techniques. On the other hand, the Hybrid protocol is a combination of both the MI-AODV and the proposed BDD-AODV protocols. Extensive simulation experiments were conducted to evaluate the performance of the proposed algorithms. Simulation results show that the proposed protocols improved the detection and prevention of black hole nodes, and hence, the network achieved a higher packet delivery ratio, lower dropped packets ratio, and lower overhead. However, this improvement led to a slight increase in the end-to-end delay.
DDOS ATTACKS DETECTION USING DYNAMIC ENTROPY INSOFTWARE-DEFINED NETWORK PRACT...
Software-Defined Network (SDN) is an innovative network architecture with the goal of providing the
flexibility and simplicity in network operation and management through a centralized controller. These
features help SDN to easily adapt to the expansion of network requirements, but it is also a weakness when
it comes to security. With centralized architecture, SDN is vulnerable to cyber-attacks, especially
Distributed Denial of Service (DDoS) attack. DDoS is a popular attack type which consumes all network
resources and causes congestion in the entire network. In this research, we will introduce a DDoS
detection model based on the statistical method with a dynamic threshold value that changes over time.
Along with the simulation result, we build a practical SDN model to apply our method, the results show
that our method can detect DDoS attacks rapidly with high accuracy.
DDoS Attacks Detection using Dynamic Entropy in Software-Defined Network Prac...
Software-Defined Network (SDN) is an innovative network architecture with the goal of providing the flexibility and simplicity in network operation and management through a centralized controller. These features help SDN to easily adapt tothe expansion of networkrequirements, but it is also a weakness when it comes to security. With centralized architecture, SDN is vulnerable to cyber-attacks, especially Distributed Denial of Service (DDoS) attack. DDoS is a popular attack type which consumes all network resources and causes congestion in the entire network. In this research, we will introduce a DDoS detection model based on the statistical method with a dynamic threshold value that changes over time. Along with the simulation result, we build a practical SDN model to apply our method, the results show that our method can detectD DoS attacks rapidly with high accuracy.
Similar to Defending against collaborative attacks by malicious nodes in mane ts a cooperative bait detection approach (20)
A Novel Approach To Detect Trustworthy Nodes Using Audit Based Scheme For WSN
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SECURE ROUTING PROTOCOL TO MITIGATE ATTACKS BY USING BLOCKCHAIN TECHNOLOGY IN...
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Gen AI Study Jams _ For the GDSC Leads in India.pdf
一比一原版(UofT毕业证)多伦多大学毕业证成绩单如何办理
UofT毕业证原版定制【微信：176555708】【多伦多大学毕业证成绩单-学位证】【微信：176555708】（留信学历认证永久存档查询）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
◆◆◆◆◆ — — — — — — — — 【留学教育】留学归国服务中心 — — — — — -◆◆◆◆◆
【主营项目】
一.毕业证【微信：176555708】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【微信：176555708】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分→ 【关于价格问题（保证一手价格）
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
选择实体注册公司办理，更放心，更安全！我们的承诺：可来公司面谈，可签订合同，会陪同客户一起到教育部认证窗口递交认证材料，客户在教育部官方认证查询网站查询到认证通过结果后付款，不成功不收费！
学历顾问：微信：176555708
一比一原版(SFU毕业证)西蒙菲莎大学毕业证成绩单如何办理
SFU毕业证原版定制【微信：176555708】【西蒙菲莎大学毕业证成绩单-学位证】【微信：176555708】（留信学历认证永久存档查询）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
◆◆◆◆◆ — — — — — — — — 【留学教育】留学归国服务中心 — — — — — -◆◆◆◆◆
【主营项目】
一.毕业证【微信：176555708】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【微信：176555708】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分→ 【关于价格问题（保证一手价格）
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
选择实体注册公司办理，更放心，更安全！我们的承诺：可来公司面谈，可签订合同，会陪同客户一起到教育部认证窗口递交认证材料，客户在教育部官方认证查询网站查询到认证通过结果后付款，不成功不收费！
学历顾问：微信：176555708
Final project report on grocery store management system..pdf
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.
DfMAy 2024 - key insights and contributions
We have compiled the most important slides from each speaker's presentation. This year’s compilation, available for free, captures the key insights and contributions shared during the DfMAy 2024 conference.
Water Industry Process Automation and Control Monthly - May 2024.pdf
Water Industry Process Automation and Control Monthly - May 2024.pdfWater Industry Process Automation & Control
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
Standard Reomte Control Interface - Neometrix
About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
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Immunizing Image Classifiers Against Localized Adversary Attacks
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.
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Defending against collaborative attacks by malicious nodes in mane ts a cooperative bait detection approach
- 1. Logic Mind Technologies Vijayangar (Near Maruthi Medicals), Bangalore-40 Ph: 8123668124 // 8123668066 Defending Against Collaborative Attacks by Malicious Nodes in MANETs: A Cooperative Bait Detection Approach Abstract In mobile ad hoc networks (MANETs), a primary requirement for the establishment of communication among nodes is that nodes should cooperate with each other. In the presence of malevolent nodes, this requirement may lead to serious security concerns; for instance, such nodes may disrupt the routing process. In this context, preventing or detecting malicious nodes launching grayhole or collaborative blackhole attacks is a challenge. This paper attempts to resolve this issue by designing a dynamic source routing (DSR)-based routing mechanism, which is referred to as the cooperative bait detection scheme (CBDS), that integrates the advantages of both proactive and reactive defense architectures. Our CBDS method implements a reverse tracing technique to help in achieving the stated goal. Simulation results are provided, showing that in the presence of malicious-node attacks, the CBDS outperforms the DSR, 2ACK, and best- effort fault-tolerant routing (BFTR) protocols (chosen as benchmarks) in terms of packet delivery ratio and routing overhead (chosen as performance metrics).
- 2. SYSTEM SPECIFICATION Software Specification Operating system : Linux (Ubuntu) Software : Network Simulator 2.35 Programming languages : Tool Command Language, AWK, C++ Hardware Specification Main processor : Dual Core Hard disk capacity : 80GB Cache memory : 2 GB PROJECT FLOW: First Review: Literature Survey Paper Explanation Design of Project Project Enhancement explanation Second Review: Implementing 40% of Base Paper Third Review Implementing Remaining 60% of Base Paper with Future Enhancement (Modification) For More Details please contact Logic Mind Technologies Vijayangar (NearMaruthi Medicals), Bangalore-40 Ph: 8123668124 // 8123668066 Mail: logicmindtech@gmail.com