This document proposes a solution to detect and remove black hole attacks in mobile ad-hoc networks. It begins by describing the black hole attack problem, where a malicious node pretends to have routes to destinations and absorbs network traffic. It then presents a detection technique that involves: (1) making the requesting node wait for multiple route replies instead of immediately sending data, (2) storing the replies in tables to compare sequence numbers and times, and (3) repeating the route discovery with a different destination to obtain multiple reply tables to identify inconsistencies that reveal black hole nodes. This proposed solution aims to identify black holes and find safe routes that avoid them.
1) The document discusses secure communication techniques for MIMO wireless networks using codebook-based transmission beamforming with limited feedback. It aims to avoid attackers from stealing confidential data.
2) A codebook known to the transmitter and receiver is used, where the receiver feeds back an index value. The secrecy outage probability is analyzed to determine if data is stolen. Bounds are provided on this probability.
3) Under different channel state information assumptions at the transmitter, the effect on secrecy from codebook beamforming is studied. The secret diversity multiplexing tradeoff is derived to characterize secrecy performance at high signal-to-noise ratios.
This document summarizes a research paper that proposes a method for identifying reliable nodes in an ad hoc wireless network to form stable routing paths. The method evaluates nodes based on their transmission range, signal strength, packet forwarding capacity, and position. Nodes meeting certain thresholds for these metrics are identified as reliable and added to a neighbor routing table. Simulation results showed this selective approach to identifying reliable nodes performed better than the traditional AODV routing protocol at maintaining stable routes in the face of node mobility.
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
Secure multipath routing scheme using keyijfcstjournal
Multipath routing in WSN has been a long wish in security scenario where nodes on next-hop may be
targeted to compromise. Many proposals of Multipath routing has been proposed in ADHOC Networks but
under constrained from keying environment most seems ignorant. In WSN where crucial data is reported by
nodes in deployment area to their securely located Sink, route security has to be guaranteed. Under
dynamic load and selective attacks, availability of multiple secure paths is a boon and increases the
attacker efforts by many folds. We propose to build a subset of neighbors as our front towards destination
node. We also identified forwarders for query by base station. The front is optimally calculated to maintain
the security credential and avail multiple paths. According to our knowledge ours is a novel secure
multipath routing protocol for WSN. We established effectiveness of our proposal with mathematical
analysis.
Cluster Head and RREQ based Detection and Prevention of Gray hole and Denial ...IJSRD
Wireless sensor network is a type of network which have no communications pattern for communication between nodes, any node can easily join the network and leave the network so attacks are more probable. Gray hole is one of such attacks and it is tough to detect since malicious node switches behavior between normal node and malicious node. For detection and prevention of gray hole attacks our proposed technique is based on Cluster head and RREQ based approach in WSN. In our proposed technique we select a node which has the highest energy as a cluster head and remaining node are marked as work as cluster member. For each node we decide a threshold for sending RREQ if any node generate RREQ more than threshold then we check its RREP threshold value if it’s less than one than cluster head will conclude this node as a malicious node and broadcast its node id so that all other nodes also mark it as malicious node and drop the request arrive from this malicious node and for gray hole detection.
1) AO2P is an ad hoc on-demand position-based private routing protocol that aims to preserve communication anonymity. It only exposes the position of the destination for route discovery.
2) AO2P uses a receiver contention scheme to determine the next hop with limited position information. Receivers are prioritized based on their proximity to the destination.
3) Once a route is established, pseudo identifiers are used rather than real node IDs to maintain privacy. The position and a secure hash function are used to generate pseudo IDs.
EAASR: Enhanced AASR Protocol to Reduce Traffic and Eliminate the Malicious N...paperpublications3
1) The document proposes an enhanced authenticated anonymous secure routing (EAASR) protocol for mobile ad hoc networks to improve security, reduce delay, and eliminate malicious nodes. EAASR uses dummy nodes, group elliptical signature, and onion routing techniques to provide anonymity and prevent traffic analysis attacks.
2) Simulation results show that EAASR achieves lower packet loss and end-to-end delay than existing protocols like AASR, ANODR, and AODV. EAASR misleads attackers by using dummy nodes for neighborhood communication while the actual communication path between source and destination remains anonymous and reliable.
3) Future work will focus on improving security by only using validated secure paths and avoiding unwanted
AGPM: An Authenticated Secure Group Communication Protocol for MANETsIDES Editor
This document summarizes the AGPM protocol for secure group communication in mobile ad hoc networks (MANETs). It authenticates mobile nodes using transitive signature schemes during routing. It establishes a collaborative group key using a tree-based approach and performs rekeying at time intervals instead of on every join/leave. Performance is evaluated against other protocols based on metrics like throughput, rekeying time, delay and overhead. Simulation results show AGPM has advantages over other protocols.
1) The document discusses secure communication techniques for MIMO wireless networks using codebook-based transmission beamforming with limited feedback. It aims to avoid attackers from stealing confidential data.
2) A codebook known to the transmitter and receiver is used, where the receiver feeds back an index value. The secrecy outage probability is analyzed to determine if data is stolen. Bounds are provided on this probability.
3) Under different channel state information assumptions at the transmitter, the effect on secrecy from codebook beamforming is studied. The secret diversity multiplexing tradeoff is derived to characterize secrecy performance at high signal-to-noise ratios.
This document summarizes a research paper that proposes a method for identifying reliable nodes in an ad hoc wireless network to form stable routing paths. The method evaluates nodes based on their transmission range, signal strength, packet forwarding capacity, and position. Nodes meeting certain thresholds for these metrics are identified as reliable and added to a neighbor routing table. Simulation results showed this selective approach to identifying reliable nodes performed better than the traditional AODV routing protocol at maintaining stable routes in the face of node mobility.
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
Secure multipath routing scheme using keyijfcstjournal
Multipath routing in WSN has been a long wish in security scenario where nodes on next-hop may be
targeted to compromise. Many proposals of Multipath routing has been proposed in ADHOC Networks but
under constrained from keying environment most seems ignorant. In WSN where crucial data is reported by
nodes in deployment area to their securely located Sink, route security has to be guaranteed. Under
dynamic load and selective attacks, availability of multiple secure paths is a boon and increases the
attacker efforts by many folds. We propose to build a subset of neighbors as our front towards destination
node. We also identified forwarders for query by base station. The front is optimally calculated to maintain
the security credential and avail multiple paths. According to our knowledge ours is a novel secure
multipath routing protocol for WSN. We established effectiveness of our proposal with mathematical
analysis.
Cluster Head and RREQ based Detection and Prevention of Gray hole and Denial ...IJSRD
Wireless sensor network is a type of network which have no communications pattern for communication between nodes, any node can easily join the network and leave the network so attacks are more probable. Gray hole is one of such attacks and it is tough to detect since malicious node switches behavior between normal node and malicious node. For detection and prevention of gray hole attacks our proposed technique is based on Cluster head and RREQ based approach in WSN. In our proposed technique we select a node which has the highest energy as a cluster head and remaining node are marked as work as cluster member. For each node we decide a threshold for sending RREQ if any node generate RREQ more than threshold then we check its RREP threshold value if it’s less than one than cluster head will conclude this node as a malicious node and broadcast its node id so that all other nodes also mark it as malicious node and drop the request arrive from this malicious node and for gray hole detection.
1) AO2P is an ad hoc on-demand position-based private routing protocol that aims to preserve communication anonymity. It only exposes the position of the destination for route discovery.
2) AO2P uses a receiver contention scheme to determine the next hop with limited position information. Receivers are prioritized based on their proximity to the destination.
3) Once a route is established, pseudo identifiers are used rather than real node IDs to maintain privacy. The position and a secure hash function are used to generate pseudo IDs.
EAASR: Enhanced AASR Protocol to Reduce Traffic and Eliminate the Malicious N...paperpublications3
1) The document proposes an enhanced authenticated anonymous secure routing (EAASR) protocol for mobile ad hoc networks to improve security, reduce delay, and eliminate malicious nodes. EAASR uses dummy nodes, group elliptical signature, and onion routing techniques to provide anonymity and prevent traffic analysis attacks.
2) Simulation results show that EAASR achieves lower packet loss and end-to-end delay than existing protocols like AASR, ANODR, and AODV. EAASR misleads attackers by using dummy nodes for neighborhood communication while the actual communication path between source and destination remains anonymous and reliable.
3) Future work will focus on improving security by only using validated secure paths and avoiding unwanted
AGPM: An Authenticated Secure Group Communication Protocol for MANETsIDES Editor
This document summarizes the AGPM protocol for secure group communication in mobile ad hoc networks (MANETs). It authenticates mobile nodes using transitive signature schemes during routing. It establishes a collaborative group key using a tree-based approach and performs rekeying at time intervals instead of on every join/leave. Performance is evaluated against other protocols based on metrics like throughput, rekeying time, delay and overhead. Simulation results show AGPM has advantages over other protocols.
Tree Based Collaboration For Target TrackingChuka Okoye
This document proposes a Dynamic Convoy Tree-Based Collaboration (DCTC) framework to detect and track mobile targets in sensor networks. DCTC uses a dynamic convoy tree structure that includes sensor nodes surrounding the target. As the target moves, the tree is reconfigured by adding or removing nodes to maintain coverage while minimizing energy consumption. The document formalizes reconfiguring the convoy tree as an optimization problem and proposes several practical solutions, including tree expansion/pruning schemes and tree reconfiguration schemes. Extensive experiments evaluate and compare the proposed solutions to an optimal solution.
A Cluster based Technique for Securing Routing Protocol AODV against Black-ho...ijdpsjournal
The document proposes a cluster-based technique to detect and prevent black hole attacks in mobile ad hoc networks (MANETs). [1] It divides nodes into clusters with a cluster head. When a route request is broadcast, intermediate nodes check with the cluster head if the previous node is trusted before forwarding. This helps identify compromised nodes acting as black holes. The technique modifies the AODV routing protocol to incorporate cluster-based intrusion detection using threshold cryptography and proactive secret sharing to securely distribute keys.
This document summarizes a research paper that simulates the Ad Hoc On-Demand Distance Vector (AODV) routing protocol under black hole attacks in mobile ad hoc networks (MANETs). The paper analyzes how black hole attacks affect key AODV routing metrics like packet delivery ratio and end-to-end delay. Through simulations with varying numbers of nodes, the paper finds that black hole attacks significantly reduce packet delivery ratios by diverting traffic to malicious nodes. The simulations provide insight into how AODV performance degrades under such attacks.
International Journal for Research in Applied Science & Engineeringpriyanka singh
This document describes a method for embedding a secret watermark image into a QR code image using discrete wavelet transform. The watermark embedding process involves:
1) Performing a two-level discrete wavelet transform on the QR code image to create sub-bands
2) Converting the watermark image (e.g. a logo) to a binary sequence and generating a pseudo-random sequence with a secret key
3) Embedding the watermark bits into one of the high frequency sub-bands by modifying pixel values
4) Performing inverse discrete wavelet transform to get the watermarked QR code image
The watermark can then be extracted without the original QR code by estimating the original pixel values and
International Journal of Engineering Research and DevelopmentIJERD Editor
This document describes the simulation and performance evaluation of a wireless ad hoc network using the NS2 simulator. The network uses the AODV routing protocol. 15 nodes were simulated over a 1000m x 800m area for 1000 seconds, with 6 concurrent UDP connections. Packet delivery ratio, throughput, and packet drop ratio were evaluated based on the trace file data. The simulation found a packet delivery ratio of 0.71 and throughput of around 534.19 kbps for the AODV protocol in the simulated network.
On Multihop Distances in Wireless Sensor Networks with Random Node Locationsambitlick
The document analyzes the distribution of maximum multihop distances in wireless sensor networks with random node locations. It proposes a greedy method to maximize the multihop distance in 2D networks by restricting propagation direction outward from the source in each hop and searching for the furthest neighbor. This differs from prior work modeling 1D networks that used a Gaussian distribution, which is shown to not accurately model 2D distances. The paper transforms the Gamma distribution to effectively approximate maximum distances in 2D and provides a more consistent representation of the multihop distance distribution compared to the Gaussian model. It derives the expected value and standard deviation of distances using the Gamma approximation and compares to simulation results.
It's my ppt of disseration defense at 2012_06_04. Please give me some feedback so I can improve my ppt skills. Feel free to discuss any problem with me. Thank you!
A Novel Approach for Detection of Routes with Misbehaving Nodes in MANETsIDES Editor
Network nodes in MANET’s are free to move randomly.
Therefore, the network topology may change rapidly.
Routing protocol for MANET’s are used for delivery of data
packets from source to the desired destination, Routing protocols
are also designed based on the assumption that all the
participating nodes are fully cooperative. However, due to the
scarcely available battery based energy, node behaviours may
exist. One such routing misbehaviours is that some nodes may
be selfish by participating in route discovery and maintenance
process, but refuse to forward the packet in order to save its
energy. To solve this problem we propose a reputation based
scheme where the watch dog uses a passive overhearing of
nodes and assign a value to it as an appreciation or add nuggets
to them. In this proposal, nodes with highest value are
highly recommended for data forwarding and allow nodes to
avoid the use of misbehaving nodes in future route selection.
AdHoc On Demand Distance vector routing protocol may be
used to get the recommendation details of the node intended
to forward the packet from the neighbouring nodes. This paper
proposes a novel method to mitigate the route with misbehaving
nodes and also suggests a way to find if any intruder is
present in the cluster of participating nodes using security
aware AODV protocol.
CLUSTER BASED FIDELITY TO SECURE DSDV PROTOCOL AGAINST BLACK HOLE ATTACKSpijans
In this paper, we introduce and discuss an approach that will be used to secure the DSDV routing protocol in an ad-hoc network. Due to mobility and absence of infrastructure, nodes are more vulnerable to several malicious attacks. The secure routing is essential to transmit packets from source to the destination. Our approach consists to model and manage fidelity concept in an ad-hoc clustering architecture. Clustering makes it possible to group the mobile nodes and to send data simultaneously to the each group. Our security model thus aims to integrate mechanisms against black hole attacks, forcing cooperation between nodes and detecting failing behaviors. The nodes present in the clusters will work more efficiently and the message passing within the nodes will also get more authenticated from the cluster heads. The simulation of our proposed algorithm is carried out using NS2 network simulator by evaluating some network performances such as average delay, throughput of communication and packets loss.
Gaussian processes for regression (GPR) is proposed as a novel detector for multiuser detection in DS-CDMA systems. GPR provides an analytical nonlinear multiuser detection solution where the parameters describing the nonlinearities can be computed optimally using maximum likelihood, without needing cross-validation. GPR has fast and accurate learning properties. It can be interpreted as a regularized linear minimum mean squared error detector, where the regularization parameter is optimally set during training. Experimental results show GPR outperforms linear and nonlinear state-of-the-art solutions for multiuser detection in DS-CDMA systems.
This presentations explains the foundations of Stream Processing and shows how elegant Stream Processing Architectures can be built by using in synergy DDS and CEP.
This document discusses the performance analysis and minimization of black hole attacks in mobile ad hoc networks (MANETs). It begins with an introduction to MANETs and discusses how they are vulnerable to black hole attacks. The document then describes the AODV routing protocol and how black hole attacks exploit vulnerabilities in the route discovery process. Existing detection and prevention techniques are outlined. The document proposes modifying the AODV protocol to implement an intrusion detection system (IDSAODV) that can detect and discard fraudulent route replies from black hole nodes, improving packet delivery. Simulation scenarios of varying node counts with and without black holes are used to analyze black hole behavior and evaluate the effectiveness of the IDSAODV approach.
This document discusses network coding-based opportunistic routing for wireless networks. It addresses how the correlation between wireless links impacts performance and proposes using coded feedback messages. Specifically:
1) Network coding enables opportunistic routing in wireless networks by eliminating coordination requirements between nodes. However, link correlation is not typically considered.
2) Link correlation, whether positive, negative, or independent, significantly impacts the number of transmissions needed for nodes to receive independent packets.
3) The paper proposes integrating coded feedback messages with data packets. This allows nodes to determine how many packets to transmit without knowing exact link conditions, improving distributed operation.
The document discusses network intrusion detection and anomaly detection from a research perspective. It describes using network processors to develop a device that can perform high-speed packet capturing, timestamping, and processing. The device is used to build a traffic measurements system that can analyze traffic at wire speed and online to accurately characterize network traffic.
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
AUTOCONFIGURATION ALGORITHM FOR A MULTIPLE INTERFACES ADHOC NETWORK RUNNING...IJCNC
Network configuration is the assignment of network parameters necessary for a device to integrate the
network, examples being: an IP address, netmask, the IP address of the gateway, etc ... In the case of
Mobile Ad hoc NETworks (MANETs), the connectivity of nodes is highly dynamic and a central
administration or configuration by the user is very difficult. This paper presents an autoconfiguration
solution for ad hoc networks running the widely implemented version of OLSR routing protocol, the 2003
RFC 3626 [1]. This solution is based on an efficient Duplicate Address Detection (DAD) algorithm,
which takes advantage of the genuine optimization of the OLSR routing protocol. The proposed
autoconfiguration algorithm is proved to operate correctly in a multiple interfaces OLSR network.
Full Communication in a Wireless Sensor Network by Merging Blocks of a Key Pr...cscpconf
Wireless Sensor Networks (WSN) are constraint by the limited resources available to its
constituting sensors. Thus the use of public-key cryptographyduring message exchange gets
forbidden. One has to invoke symmetric key techniques. This leads to key distribution in the
sensors which in itself is a major challenge. Again due to resource constraints, Key
Predistrubution (KPD) methods are preferred to other distribution techniques. It requires
predistribution of keys in nodes prior to deployment and establishing immediately once
deployed. However there are certain weaknesses in various existing KPD schemes. For
instance, often it is not guaranteed that any given pair of nodes communicate directly. This
leads one to revert to multi-hop communication involving intermediate sensor nodes resulting
in increased cost of communication. In this work a key predistribution technique using ReedSolomon
codes is considered which is faced with the above weakness. The authors suggests a
novel technique of merging certain number of sensors into blocks ensuring that the blocks
have full connectivity amongst themselves. Here the blocks are chosen in such a way that it
ensures no intra-node communication. Further this approach improves both time and space
complexity of the system
A Novel Method for Preventing Selective Jamming Attacks in Wireless NetworksIJMER
The document proposes three novel methods to prevent selective jamming attacks in wireless networks:
1. Strong Hiding Commitment Scheme (SHCS) which uses asymmetric cryptography to commit a sender to a value while keeping it hidden.
2. Cryptographic Puzzle Hiding Scheme which generates puzzles that force attackers to spend time solving before obtaining secret keys.
3. Hiding based on All-Or-Nothing Transformation which partitions messages into blocks that are meaningless individually, preventing selective jamming until all blocks are received.
This document discusses data security and authentication using steganography and the STS protocol. It proposes a new approach that uses steganography to hide encrypted messages within images by generating a stego-key through the STS key exchange protocol. The STS protocol provides authentication by requiring signatures, while steganography further protects the data by concealing the encrypted messages within cover files like images. The document analyzes how combining steganography with cryptography and key exchange protocols like STS can enhance data security.
This document discusses usability engineering and its activities. It defines usability engineering as a user-centered process that ensures systems are effective, efficient, and safe. The key activities discussed are:
1) Domain analysis to understand users and tasks
2) Expert evaluation where usability experts evaluate designs against guidelines
3) Formative usability evaluation where representative users perform tasks while being observed to identify usability problems
This document proposes a novel technique to detect multiple faults in an automobile engine using sound signals collected from a single microphone sensor. It describes experiments conducted using a Maruti Alto 800cc 4-cylinder engine. Three types of faults are considered: 1) knocking fault, 2) insufficient lubricant fault, and 3) excessive lubricant fault. Sound features are extracted from the engine and analyzed using artificial neural networks to classify the engine condition as normal or faulty. The technique aims to provide simple fault detection using a single sensor compared to existing methods that use separate sensors for each fault.
This document discusses improved K-means clustering techniques. It begins with an introduction to data mining and clustering. K-means clustering groups data objects into k clusters by minimizing distances between objects and cluster centers. However, K-means has limitations such as dependency on initialization. The document proposes a new clustering algorithm that uses an iterative relocation technique and distance determination approach to improve upon K-means clustering. It compares the computational complexity of K-means and K-medoids clustering algorithms.
Tree Based Collaboration For Target TrackingChuka Okoye
This document proposes a Dynamic Convoy Tree-Based Collaboration (DCTC) framework to detect and track mobile targets in sensor networks. DCTC uses a dynamic convoy tree structure that includes sensor nodes surrounding the target. As the target moves, the tree is reconfigured by adding or removing nodes to maintain coverage while minimizing energy consumption. The document formalizes reconfiguring the convoy tree as an optimization problem and proposes several practical solutions, including tree expansion/pruning schemes and tree reconfiguration schemes. Extensive experiments evaluate and compare the proposed solutions to an optimal solution.
A Cluster based Technique for Securing Routing Protocol AODV against Black-ho...ijdpsjournal
The document proposes a cluster-based technique to detect and prevent black hole attacks in mobile ad hoc networks (MANETs). [1] It divides nodes into clusters with a cluster head. When a route request is broadcast, intermediate nodes check with the cluster head if the previous node is trusted before forwarding. This helps identify compromised nodes acting as black holes. The technique modifies the AODV routing protocol to incorporate cluster-based intrusion detection using threshold cryptography and proactive secret sharing to securely distribute keys.
This document summarizes a research paper that simulates the Ad Hoc On-Demand Distance Vector (AODV) routing protocol under black hole attacks in mobile ad hoc networks (MANETs). The paper analyzes how black hole attacks affect key AODV routing metrics like packet delivery ratio and end-to-end delay. Through simulations with varying numbers of nodes, the paper finds that black hole attacks significantly reduce packet delivery ratios by diverting traffic to malicious nodes. The simulations provide insight into how AODV performance degrades under such attacks.
International Journal for Research in Applied Science & Engineeringpriyanka singh
This document describes a method for embedding a secret watermark image into a QR code image using discrete wavelet transform. The watermark embedding process involves:
1) Performing a two-level discrete wavelet transform on the QR code image to create sub-bands
2) Converting the watermark image (e.g. a logo) to a binary sequence and generating a pseudo-random sequence with a secret key
3) Embedding the watermark bits into one of the high frequency sub-bands by modifying pixel values
4) Performing inverse discrete wavelet transform to get the watermarked QR code image
The watermark can then be extracted without the original QR code by estimating the original pixel values and
International Journal of Engineering Research and DevelopmentIJERD Editor
This document describes the simulation and performance evaluation of a wireless ad hoc network using the NS2 simulator. The network uses the AODV routing protocol. 15 nodes were simulated over a 1000m x 800m area for 1000 seconds, with 6 concurrent UDP connections. Packet delivery ratio, throughput, and packet drop ratio were evaluated based on the trace file data. The simulation found a packet delivery ratio of 0.71 and throughput of around 534.19 kbps for the AODV protocol in the simulated network.
On Multihop Distances in Wireless Sensor Networks with Random Node Locationsambitlick
The document analyzes the distribution of maximum multihop distances in wireless sensor networks with random node locations. It proposes a greedy method to maximize the multihop distance in 2D networks by restricting propagation direction outward from the source in each hop and searching for the furthest neighbor. This differs from prior work modeling 1D networks that used a Gaussian distribution, which is shown to not accurately model 2D distances. The paper transforms the Gamma distribution to effectively approximate maximum distances in 2D and provides a more consistent representation of the multihop distance distribution compared to the Gaussian model. It derives the expected value and standard deviation of distances using the Gamma approximation and compares to simulation results.
It's my ppt of disseration defense at 2012_06_04. Please give me some feedback so I can improve my ppt skills. Feel free to discuss any problem with me. Thank you!
A Novel Approach for Detection of Routes with Misbehaving Nodes in MANETsIDES Editor
Network nodes in MANET’s are free to move randomly.
Therefore, the network topology may change rapidly.
Routing protocol for MANET’s are used for delivery of data
packets from source to the desired destination, Routing protocols
are also designed based on the assumption that all the
participating nodes are fully cooperative. However, due to the
scarcely available battery based energy, node behaviours may
exist. One such routing misbehaviours is that some nodes may
be selfish by participating in route discovery and maintenance
process, but refuse to forward the packet in order to save its
energy. To solve this problem we propose a reputation based
scheme where the watch dog uses a passive overhearing of
nodes and assign a value to it as an appreciation or add nuggets
to them. In this proposal, nodes with highest value are
highly recommended for data forwarding and allow nodes to
avoid the use of misbehaving nodes in future route selection.
AdHoc On Demand Distance vector routing protocol may be
used to get the recommendation details of the node intended
to forward the packet from the neighbouring nodes. This paper
proposes a novel method to mitigate the route with misbehaving
nodes and also suggests a way to find if any intruder is
present in the cluster of participating nodes using security
aware AODV protocol.
CLUSTER BASED FIDELITY TO SECURE DSDV PROTOCOL AGAINST BLACK HOLE ATTACKSpijans
In this paper, we introduce and discuss an approach that will be used to secure the DSDV routing protocol in an ad-hoc network. Due to mobility and absence of infrastructure, nodes are more vulnerable to several malicious attacks. The secure routing is essential to transmit packets from source to the destination. Our approach consists to model and manage fidelity concept in an ad-hoc clustering architecture. Clustering makes it possible to group the mobile nodes and to send data simultaneously to the each group. Our security model thus aims to integrate mechanisms against black hole attacks, forcing cooperation between nodes and detecting failing behaviors. The nodes present in the clusters will work more efficiently and the message passing within the nodes will also get more authenticated from the cluster heads. The simulation of our proposed algorithm is carried out using NS2 network simulator by evaluating some network performances such as average delay, throughput of communication and packets loss.
Gaussian processes for regression (GPR) is proposed as a novel detector for multiuser detection in DS-CDMA systems. GPR provides an analytical nonlinear multiuser detection solution where the parameters describing the nonlinearities can be computed optimally using maximum likelihood, without needing cross-validation. GPR has fast and accurate learning properties. It can be interpreted as a regularized linear minimum mean squared error detector, where the regularization parameter is optimally set during training. Experimental results show GPR outperforms linear and nonlinear state-of-the-art solutions for multiuser detection in DS-CDMA systems.
This presentations explains the foundations of Stream Processing and shows how elegant Stream Processing Architectures can be built by using in synergy DDS and CEP.
This document discusses the performance analysis and minimization of black hole attacks in mobile ad hoc networks (MANETs). It begins with an introduction to MANETs and discusses how they are vulnerable to black hole attacks. The document then describes the AODV routing protocol and how black hole attacks exploit vulnerabilities in the route discovery process. Existing detection and prevention techniques are outlined. The document proposes modifying the AODV protocol to implement an intrusion detection system (IDSAODV) that can detect and discard fraudulent route replies from black hole nodes, improving packet delivery. Simulation scenarios of varying node counts with and without black holes are used to analyze black hole behavior and evaluate the effectiveness of the IDSAODV approach.
This document discusses network coding-based opportunistic routing for wireless networks. It addresses how the correlation between wireless links impacts performance and proposes using coded feedback messages. Specifically:
1) Network coding enables opportunistic routing in wireless networks by eliminating coordination requirements between nodes. However, link correlation is not typically considered.
2) Link correlation, whether positive, negative, or independent, significantly impacts the number of transmissions needed for nodes to receive independent packets.
3) The paper proposes integrating coded feedback messages with data packets. This allows nodes to determine how many packets to transmit without knowing exact link conditions, improving distributed operation.
The document discusses network intrusion detection and anomaly detection from a research perspective. It describes using network processors to develop a device that can perform high-speed packet capturing, timestamping, and processing. The device is used to build a traffic measurements system that can analyze traffic at wire speed and online to accurately characterize network traffic.
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
AUTOCONFIGURATION ALGORITHM FOR A MULTIPLE INTERFACES ADHOC NETWORK RUNNING...IJCNC
Network configuration is the assignment of network parameters necessary for a device to integrate the
network, examples being: an IP address, netmask, the IP address of the gateway, etc ... In the case of
Mobile Ad hoc NETworks (MANETs), the connectivity of nodes is highly dynamic and a central
administration or configuration by the user is very difficult. This paper presents an autoconfiguration
solution for ad hoc networks running the widely implemented version of OLSR routing protocol, the 2003
RFC 3626 [1]. This solution is based on an efficient Duplicate Address Detection (DAD) algorithm,
which takes advantage of the genuine optimization of the OLSR routing protocol. The proposed
autoconfiguration algorithm is proved to operate correctly in a multiple interfaces OLSR network.
Full Communication in a Wireless Sensor Network by Merging Blocks of a Key Pr...cscpconf
Wireless Sensor Networks (WSN) are constraint by the limited resources available to its
constituting sensors. Thus the use of public-key cryptographyduring message exchange gets
forbidden. One has to invoke symmetric key techniques. This leads to key distribution in the
sensors which in itself is a major challenge. Again due to resource constraints, Key
Predistrubution (KPD) methods are preferred to other distribution techniques. It requires
predistribution of keys in nodes prior to deployment and establishing immediately once
deployed. However there are certain weaknesses in various existing KPD schemes. For
instance, often it is not guaranteed that any given pair of nodes communicate directly. This
leads one to revert to multi-hop communication involving intermediate sensor nodes resulting
in increased cost of communication. In this work a key predistribution technique using ReedSolomon
codes is considered which is faced with the above weakness. The authors suggests a
novel technique of merging certain number of sensors into blocks ensuring that the blocks
have full connectivity amongst themselves. Here the blocks are chosen in such a way that it
ensures no intra-node communication. Further this approach improves both time and space
complexity of the system
A Novel Method for Preventing Selective Jamming Attacks in Wireless NetworksIJMER
The document proposes three novel methods to prevent selective jamming attacks in wireless networks:
1. Strong Hiding Commitment Scheme (SHCS) which uses asymmetric cryptography to commit a sender to a value while keeping it hidden.
2. Cryptographic Puzzle Hiding Scheme which generates puzzles that force attackers to spend time solving before obtaining secret keys.
3. Hiding based on All-Or-Nothing Transformation which partitions messages into blocks that are meaningless individually, preventing selective jamming until all blocks are received.
This document discusses data security and authentication using steganography and the STS protocol. It proposes a new approach that uses steganography to hide encrypted messages within images by generating a stego-key through the STS key exchange protocol. The STS protocol provides authentication by requiring signatures, while steganography further protects the data by concealing the encrypted messages within cover files like images. The document analyzes how combining steganography with cryptography and key exchange protocols like STS can enhance data security.
This document discusses usability engineering and its activities. It defines usability engineering as a user-centered process that ensures systems are effective, efficient, and safe. The key activities discussed are:
1) Domain analysis to understand users and tasks
2) Expert evaluation where usability experts evaluate designs against guidelines
3) Formative usability evaluation where representative users perform tasks while being observed to identify usability problems
This document proposes a novel technique to detect multiple faults in an automobile engine using sound signals collected from a single microphone sensor. It describes experiments conducted using a Maruti Alto 800cc 4-cylinder engine. Three types of faults are considered: 1) knocking fault, 2) insufficient lubricant fault, and 3) excessive lubricant fault. Sound features are extracted from the engine and analyzed using artificial neural networks to classify the engine condition as normal or faulty. The technique aims to provide simple fault detection using a single sensor compared to existing methods that use separate sensors for each fault.
This document discusses improved K-means clustering techniques. It begins with an introduction to data mining and clustering. K-means clustering groups data objects into k clusters by minimizing distances between objects and cluster centers. However, K-means has limitations such as dependency on initialization. The document proposes a new clustering algorithm that uses an iterative relocation technique and distance determination approach to improve upon K-means clustering. It compares the computational complexity of K-means and K-medoids clustering algorithms.
This document summarizes a research paper that proposes a Cooperative Multi-Hop Clustering Protocol to reduce the energy consumption of mobile devices using WLAN. The protocol uses Bluetooth to form clusters with one cluster head and multiple regular nodes. The cluster head remains connected to the WLAN to allow regular nodes to access the WLAN through Bluetooth at a lower power. The protocol selects cluster heads based on factors like energy, number of neighbors, and distance to the access point. It dynamically reforms clusters based on node energy usage and bandwidth needs. Simulation results show the approach effectively reduces WLAN power consumption for networks of over 200 nodes.
This document provides an overview of grid computing. It discusses that grid computing enables sharing, selection, and aggregation of distributed resources like supercomputers, storage, and data sources. Grid computing allows for these resources to be used as a unified virtual machine. The document then discusses the services offered by grids including computational, data, application, information, and knowledge services. It also discusses the types of grids like computational grids, data grids, and scavenging grids. Finally, it discusses some of the key advantages of grid computing like making better use of available hardware and idle computing resources.
This document proposes a solution called CloudVision to help cloud providers troubleshoot problems reported by users. CloudVision would automatically track configuration changes to virtual machine instances and store this information in a database. When users report problems, CloudVision analyzes the configuration history to identify potential causes. It then takes predefined actions to check and solve problems by interacting with the configuration of VM instances. The goal is to help providers address user problems more quickly through automated problem reasoning and interactive troubleshooting based on visibility into VM configuration events and lifecycles.
1) The document discusses a cooperative black hole attack in mobile ad-hoc networks where multiple malicious nodes work together.
2) In a cooperative black hole attack, malicious nodes falsely claim to have valid routes to the destination when sending route reply messages in response to route requests, with the intent of intercepting packets.
3) The authors propose a new methodology to identify multiple black hole nodes cooperating and prevent the attack by modifying the AODV routing protocol and using additional routing tables.
Black Hole Attack Prevention Using Random Dispersive Routing for Mobile Adhoc...pijans
Mobile Adhoc Networks is a wireless network and it has become an important technology in current years
in which security has become an important problem. Black hole Attack is one of the promising and severe
security attacks in mobile ad hoc networks which block the communication of secret data during packet
delivery. Black hole attack directly attacks the node’s data traffic on the path and with intent drops, alters
or delays the data traffic passing through that node. In other type of black hole attack which misleadingly
replies for the route request which comes from the node which initiates the route discovery process that it
has as much as necessary routes to the destination even it does not have path to the destination. This paper
deals with prevention of black hole attacks using Shamir’s secret sharing and Random Multipath Routing
Algorithm
IJCER (www.ijceronline.com) International Journal of computational Engineeri...ijceronline
This document summarizes a research paper on black hole attacks and countermeasures in the AODV routing protocol for mobile ad hoc networks (MANETs). It describes how a black hole attack works by having a malicious node send fake route replies to drop packets. It then discusses cooperative black hole attacks and several existing solutions that use watchdog mechanisms, reputation systems, intrusion detection, and opinion-based approaches to detect and isolate malicious nodes.
This document discusses the black hole attack on the AODV routing protocol in mobile ad hoc networks (MANETs). It begins with an introduction to MANETs and discusses how AODV works and the types of control packets it uses. It then explains how the black hole attack exploits AODV by having a malicious node send fake route reply messages, allowing it to drop packets. Several techniques for detecting and mitigating black hole attacks on AODV are discussed. The document reviews related work on defending against such attacks using approaches like security-aware ad hoc routing protocols.
The document summarizes research on black hole and grey hole attacks in wireless mesh networks. It provides background on these attacks and how they work. The key points are:
1. Black hole attacks involve a malicious node accepting all packets by sending fake route replies, appearing to have the shortest path, then dropping all packets. Grey hole attacks involve selectively dropping packets.
2. The document reviews previous research on detecting and preventing these attacks. It then discusses using the OPNET simulator to analyze delay in networks under black hole and grey hole attacks.
3. Simulation results show increased network delay when nodes launch black hole and grey hole attacks compared to no attacks. Applying the OLSR routing protocol with a secure path scheme
Performance Analysis of Malicious Node in the Different Routing Algorithms in...ijsrd.com
This document analyzes the performance of malicious nodes in different routing algorithms in mobile ad hoc networks (MANETs). It simulates the "black hole" attack in the AODV and DSR routing protocols using the NS2 simulator. The results show that DSR experiences around 45-55% data loss with black hole attacks, while AODV sees 35-40% data loss. Therefore, AODV shows better performance than DSR in the presence of malicious nodes like black holes, with only minimal additional delay and overhead.
Risk Mitigation of Black Hole Attack for Aodv Routing ProtocolIOSR Journals
1) The document discusses the black hole attack on the AODV routing protocol in mobile ad hoc networks (MANETs). In a black hole attack, a malicious node sends fake route reply packets to a route request without actually having a valid route to the destination, with the aim of intercepting packets.
2) Several techniques have been proposed to detect and mitigate black hole attacks on AODV, including using route confirmation packets, statistical anomaly detection of destination sequence numbers, and modifying AODV to include next hop addresses in route replies. However, each approach has certain drawbacks or limitations.
3) More research is still needed to develop reliable and efficient security mechanisms for AODV that can detect black hole
Mobile Ad Hoc Network (MANET) is one kind of new wireless network
structures which is also known as infrastructure less network. Unlike devices in traditional
wireless LAN solution, all nodes are movable and the topology of the network is changing
dynamically in an Ad Hoc Network, which brings great challenges to the security of Mobile
Ad Hoc Networks. MANET is particularly vulnerable to various types of security attacks
due to its fundamental characteristics e.g. the lack of centralized monitoring, dynamic
network topology, open medium, autonomous terminal and management. As a result,
attackers can take advantage of flaws in routing protocols to carry out various attacks. The
black hole attack is one of such security issue in MANET. It could disturb the routing
protocol and bring about huge damage to the network’s topology. In this attack, a malicious
node gives false information of having shortest route to the destination node so as to get all
data packets and drops it. In this paper, we propose an algorithm which mitigates the
impact of black hole attack in AODV routing.
An Ad hoc network in a wireless system consist of an autonomous system, without centralization which results forming of mobile nodes. In MANET, each node works in a dual form that consists of a router as well as hosts. These nodes configure dynamically and communicate using hop to hop. Due to its simplicity it is used in mobile conferencing, military communication. In MANET nodes can join and leave the network so MANET becomes vulnerable. Certain factors like dynamic network configures, distribution cooperation, open medium terrorized in routing which give rise to security issues. Once such protocol AODV has been a victim of security. In existing, MANET faces a severe problem known as the Black Hole problem. This Black hole problem is mostly found in reactive routing protocol called AODV.The black hole conducts its malicious node during route discovery process. Black hole node is a severe threat in AODV protocol that easily employed and becomes vulnerable in MANET. In this paper various techniques are discussed to overcome the Black hole attack.
Impact of black hole attack on aodv routing protocolZac Darcy
A
m
obile
a
d
-
hoc
n
etwork (MANET)
is a
collection
of wireless mobile nodes
that dynamically self
-
organize
to form an
arbitrary and temporary network.
The mobile nodes can communicate wit
h each other
without
any fixed infrastructure.
MANET
can be set
up quickly to facilitate communication in a hostile environment
such as battlefield or emergency situation.
The various severe security threats are
increasing
on the
MANET
. One of these secur
ity threats is black hole attack which drops all received data packets intended
for forwarding. In this paper, we are simulating and analyzing the impact of black hole attack on Ad Hoc
On
-
Demand Distance Vector (AODV) protocol. Th
e simulation is carried on
NS
-
2 and t
he simulation
results are analyzed
on
various network performance
metric
s such as packet delivery ratio, normalized
routing overhead
and
average end
-
to
-
end delay
Impact of Black Hole Attack on AODV Routing ProtocolZac Darcy
A mobile ad-hoc network (MANET) is a collection of wireless mobile nodes that dynamically self-organize
to form an arbitrary and temporary network. The mobile nodes can communicate with each other without
any fixed infrastructure. MANET can be set up quickly to facilitate communication in a hostile environment
such as battlefield or emergency situation. The various severe security threats are increasing on the
MANET. One of these security threats is black hole attack which drops all received data packets intended
for forwarding. In this paper, we are simulating and analyzing the impact of black hole attack on Ad Hoc
On-Demand Distance Vector (AODV) protocol. The simulation is carried on NS-2 and the simulation
results are analyzed on various network performance metrics such as packet delivery ratio, normalized
routing overhead and average end-to-end delay.
Impact of Black Hole Attack on AODV Routing ProtocolZac Darcy
This document analyzes the impact of black hole attacks on the Ad Hoc On-Demand Distance Vector (AODV) routing protocol in mobile ad hoc networks. Through simulations in NS-2, it evaluates various performance metrics like packet delivery ratio, end-to-end delay, and routing overhead under different network conditions. The results show that the black hole attack significantly reduces packet delivery and increases delay and overhead compared to normal AODV operation. The attack has a more severe impact as the number of malicious nodes, network transactions, or node mobility increases.
PACKET DROP ATTACK DETECTION TECHNIQUES IN WIRELESS AD HOC NETWORKS: A REVIEWIJNSA Journal
Wireless ad hoc networks have gained lots of attention due to their ease and low cost of deployment. This has made ad hoc networks of great importance in numerous military and civilian applications. But, the lack of centralized management of these networks makes them vulnerable to a number of security attacks. One of the attacks is packet drop attack, where a compromised node drops packets maliciously. Several techniques have been proposed to detect the packet drop attack in wireless ad hoc networks. Therefore, in this paper we review some of the packet drop attack detection techniques and comparatively analyze them basing on; their ability to detect the attack under different attack strategies (partial and or cooperate attacks), environments and the computational and communication overheads caused in the process of detection.
Providing The Security Against The DDOS Attack In Mobile Ad Hoc NetworksIOSR Journals
This document discusses providing security against distributed denial of service (DDOS) attacks in mobile ad hoc networks. It begins by introducing mobile ad hoc networks and some of their security vulnerabilities. It then discusses different types of attacks against MANETs, including black hole attacks, wormhole attacks, denial of service attacks, and distributed denial of service attacks. It proposes using an intrusion detection system to detect attacks and block attacking nodes. Simulation results are discussed to analyze the effectiveness of detection and mitigation techniques against DDOS attacks in terms of network performance metrics. The conclusion is that implementing queue management algorithms in network routers can help protect users during DDOS attacks by guaranteeing a certain level of bandwidth.
1) The document discusses providing security against distributed denial of service (DDOS) attacks in mobile ad hoc networks. It focuses on intrusion detection systems and detecting black hole and wormhole attacks.
2) Black hole attacks involve malicious nodes pretending to have valid routes to destinations in order to intercept packets. Wormhole attacks involve tunneling packets between two points in the network to attract traffic.
3) The document proposes using intrusion detection systems that use both signature-based and anomaly-based detection to identify these types of attacks without prior knowledge of signatures. It aims to provide a solution for detecting and mitigating DDOS attacks in ad hoc networks.
This document evaluates the performance of the AODV and DSR routing protocols under black hole attacks in a mobile ad hoc network (MANET). It conducts simulations using the network simulator NS-2 to compare the protocols' throughput, packet delivery ratio, and end-to-end delay both with and without black hole attacks from malicious nodes. The results show that under black hole attacks, the throughput and packet delivery ratio of both protocols decreases as the number of malicious nodes increases. However, AODV is shown to be more resistant to the effects of black hole attacks compared to DSR, experiencing smaller decreases in performance under black hole attacks.
PACKET DROP ATTACK DETECTION TECHNIQUES IN WIRELESS AD HOC NETWORKS: A REVIEWIJNSA Journal
Wireless ad hoc networks have gained lots of attention due to their ease and low cost of deployment. This
has made ad hoc networks of great importance in numerous military and civilian applications. But, the lack
of centralized management of these networks makes them vulnerable to a number of security attacks. One
of the attacks is packet drop attack, where a compromised node drops packets maliciously. Several
techniques have been proposed to detect the packet drop attack in wireless ad hoc networks. Therefore, in
this paper we review some of the packet drop attack detection techniques and comparatively analyze them
basing on; their ability to detect the attack under different attack strategies (partial and or cooperate
attacks), environments and the computational and communication overheads caused in the process of
detection.
Review on Detection & Prevention Methods for Black Hole Attack on AODV based ...IJERD Editor
Dynamic nature of Mobile Ad-hoc networks (MANET) challenges the quality of service (QoS)
because route failure probability is increased in MANET due to the mobility of nodes. Lack of fixed
infrastructure, wireless shared medium and dynamic topology makes MANET prone to different types of
attacks. Ad-hoc On-Demand Distance Vector (AODV) routing protocol in MANETs which is vulnerable to a
variety of security threats in ad-hoc networks. Black hole attack is an attack that drop considerable number of
packet by performing packet forwarding misbehaviour and violate the security to cause Denial-of-Service
(DoS) in Mobile Ad-hoc networks (MANET). In this paper we investigate different mechanism to detect and
prevent black hole attack in AODV protocol. We also discuss about advantages and disadvantages of the
methods.
A black-hole attack in the Mobile Ad-hoc NETwork (MANET) is an attack occurs due to malicious nodes,
which attracts the data packets by falsely advertising a fresh route to the destination. In this paper, we
present a clustering approach in Ad-hoc On-demand Distance Vector (AODV) routing protocol for the
detection and prevention of black-hole attack in MANETs. In this approach every member of the cluster will
ping once to the cluster head, to detect the peculiar difference between the number of data packets received
and forwarded by the node. If anomalousness is perceived, all the nodes will obscure the malicious nodes
from the network.
A survey on mitigation methods to black hole attack on aodv routing protocolAlexander Decker
This document summarizes research on mitigation methods for black hole attacks on the AODV routing protocol in mobile ad hoc networks. It first provides background on AODV and describes how black hole attacks work by having malicious nodes advertise fake routes. It then surveys two existing mitigation methods: 1) a method that verifies the next hop in route replies is trustworthy, but has limitations against cooperative black hole attacks, and 2) a neighborhood-based detection scheme that recovers reliable routes but could be evaded if attackers selectively forge replies and cannot detect cooperative attacks. The document aims to investigate vulnerabilities in AODV against black hole attacks.
The document analyzes microstrip transmission lines using a quasi-static approach. It presents numerically efficient and accurate formulas to analyze microstrip line structures. The analysis derives formulas for characteristic impedance of microstrip lines based on variables like the normalized strip width, effective permittivity, height of the substrate, and thickness of the microstrip line. It also defines the structure of a microstrip line and formulates the quasi-static analysis by introducing the concept of an effective relative dielectric constant to account for the microstrip being surrounded by different dielectrics like air and the substrate material.
This document summarizes conventional and soft computing techniques for color image segmentation. It begins with an introduction to image segmentation and discusses how color images contain more information than grayscale images. The document then provides an overview of conventional segmentation algorithms, categorizing them as edge-based, region-based, or clustering-based methods. It also introduces soft computing techniques like fuzzy logic, neural networks, and genetic algorithms as promising approaches for color image segmentation, noting that these methods are complementary rather than competitive.
This document summarizes a research paper that proposes a technique for classifying brain CT scan images using principal component analysis (PCA), wavelet transform, and K-nearest neighbors (K-NN) classification. The methodology involves extracting features from CT scan images using PCA and wavelet transform, then training a K-NN classifier on the extracted features to classify images as normal or abnormal. PCA achieved 100% accuracy on brain CT scans, while wavelet transform achieved 100% accuracy on Brodatz texture images. The technique provides an automated way to analyze CT scans and could help radiologists in diagnosis.
This document presents a new algorithm for automatically detecting driver drowsiness based on electroencephalography (EEG) using Mahalanobis distance. EEG signals are measured by placing electrodes on the driver's head. Two main approaches for detecting drowsiness are analyzing physical changes like head position and measuring physiological changes like brain activity. This algorithm focuses on the second approach using EEG signals, which can accurately track alertness levels second-to-second. It first establishes a model of alert brain activity using multivariate normal distribution of EEG theta and alpha rhythms. Mahalanobis distance is then used to detect drowsiness by measuring deviation from the alert model.
1) The document discusses image segmentation in satellite images using optimal texture measures. It evaluates four texture measures from the gray-level co-occurrence matrix (GLCM) with six different window sizes.
2) Principal Component Analysis (PCA) is applied to reduce the texture measures to a manageable size while retaining discrimination information.
3) The methodology consists of selecting an optimal window size and optimal texture measure. A 7x7 window size provided superior performance for classification. PCA is used to analyze correlations between texture measures and window sizes.
This document discusses using a relevance vector machine (RVM) for classifying remotely sensed images. It proposes a methodology that involves extracting features from remote sensing images using wavelet transforms, then classifying the features using an RVM. The RVM classification results in fewer "relevance vectors" than other methods, allowing for faster classification, which is important for applications requiring low complexity or real-time classification. The document provides background on RVMs and describes the key steps of the proposed classification methodology.
This document discusses the development of an embedded web server using an ARM processor to monitor and control systems remotely. It provides background on the growing use of embedded web servers and Internet of Things applications. The paper then describes implementing TCP/IP networking on an ARM processor to enable Ethernet connectivity and allow the device to function as a web server. This allows various devices to connect and be controlled over the Internet through a standardized web interface using only a browser. The embedded web server provides a uniform interface for accessing traditional devices remotely. The rest of the paper details the hardware, web server implementation, and software concepts to realize this embedded web server functionality.
1) The document discusses security threats related to data mining tools used in programs like the Terrorism Information Awareness (TIA) program. It outlines threats such as predicting classified information, detecting hidden information, and mining open source data to predict events.
2) The document proposes some methods to improve security, such as restricting access, using data mining for crime detection/prevention, and employing multilevel security models.
3) The authors acknowledge they are in the early stages of research on using technology-based analysis tools rather than statistical approaches for identifying potential terrorists in large pools of data. They outline future work such as person identification without relying only on statistical comparisons.
This document summarizes a research paper that proposes a secure routing protocol called CA-AOMDV for mobile ad hoc networks (MANETs). CA-AOMDV extends the AOMDV routing protocol to be aware of channel conditions and selects multiple disjoint paths based on predicted link lifetimes. It uses the Secure Hash Algorithm 1 (SHA-1) to guarantee integrity in the network. The paper reviews AOMDV and introduces how CA-AOMDV incorporates channel properties into route discovery and maintenance to choose more reliable paths based on predicted link lifetimes calculated from node speeds and a channel model.
This document provides a comparative analysis of various cloud service providers. It begins with an introduction to cloud computing and techniques for optimal service selection. Then it presents a table comparing prominent cloud service providers like Amazon AWS, Google App Engine, Windows Azure, Force.com, Rackspace and GoGrid. The table compares their cloud tools, platforms supported, programming languages, premium support pricing policies and data backup strategies to help users understand and reasonably choose a suitable provider. The aim is to focus on decision making for optimal service selection through this brief comparative analysis.
This document summarizes research on improving search engine efficiency by maximizing the retrieval of information related to person names and aliases. It discusses how search engines work, including web crawling to index pages and information retrieval techniques to match queries. The authors propose using anchor text mining to create a graph of co-occurrence relationships between names and aliases in order to automatically discover association orders between them. This would allow search engines to better tag aliases according to their order of association, improving recall and mean reciprocal rank when searching for information on person names.
This document summarizes a research paper on modeling DC-DC converters with high frequencies using state space analysis. The paper presents an approach to modeling that avoids assuming constant current ripples, allowing for a better representation at high frequencies. State space averaging is commonly used to model PWM DC-DC converters but has limitations. The presented approach generalizes state space averaging to account for harmonics' effects, transforming time-varying models into time-invariant linear models. Equations for the state space model of a buck converter are provided both when operating and when turned off, and the average state model is derived. The goal is to improve performance for load and input variations through implicit feedforward compensation.
1) The document discusses channel estimation techniques for 4G wireless networks using OFDM modulation.
2) Channel estimation is important for coherent detection and diversity techniques in wireless systems, which have time-varying channels. Accurate channel estimation allows techniques like maximal ratio combining.
3) OFDM divides the channel into multiple sub-carriers to combat multipath fading and make channel equalization easier compared to single carrier systems. Channel estimation is needed to characterize the time-varying frequency response of the wireless channel.
This document proposes an adaptive mobility-aware medium access control (MAC) protocol called MMAC-SW for wireless sensor networks. MMAC-SW uses a hybrid TDMA/CSMA approach and incorporates sleep-wake cycling to improve energy efficiency. It dynamically adjusts the frame length based on a mobility prediction model to adapt to changing network conditions. Simulation results show that MMAC-SW outperforms the baseline MMAC protocol in terms of energy consumption, packet delivery ratio, and average packet delay.
This document discusses an efficient deconvolution algorithm using dual-tree complex wavelet transform. It begins with an introduction to deconvolution and its challenges. Specifically, it notes that deconvolution is an ill-posed inverse problem and traditional methods can amplify noise. The document then reviews previous work on Fourier-domain and wavelet-based deconvolution techniques. It proposes a new two-step algorithm using a Wiener filter for global blur compensation followed by local denoising with dual-tree complex wavelet transform. This approach aims to convert the deconvolution problem into an easier non-white noise removal problem while exploiting properties of the dual-tree complex wavelet like shift-invariance and directionality to remove noise without assumptions on the
This document discusses network traffic monitoring using the Winpcap packet capturing tool. It begins with an introduction to enterprise network monitoring and requirements. It then provides an overview of Winpcap, including its architecture and how it works. Key aspects covered include the packet capture driver, Packet.dll, and WinPcap.dll libraries. The document also discusses related tools like Jpcap for Java packet capturing. It concludes with an overview of a sample network traffic monitoring application that implements packet capturing using Winpcap.
This document discusses two designs of microstrip patch antennas. Design 1 is a rectangular microstrip patch antenna that achieves a 13.1% bandwidth. Design 2 is a gap-coupled reduced size rectangular microstrip patch antenna that achieves an enhanced 20.5% bandwidth through the use of parasitic patches placed along the edges of the fed rectangular patch. Simulation results show that Design 2 provides both an improvement in bandwidth and directivity over Design 1.
This document summarizes a research paper on handwritten script recognition using soft computing techniques. The paper aims to recognize Hindi, English, and Urdu scripts using a combined approach of discrete cosine transform (DCT) and discrete wavelet transform (DWT) for feature extraction, and a neural network classifier. A database containing 961 handwritten samples across the three scripts was created, with 320 samples per script varying in font size. The system achieved a recognition accuracy of 82.70% on the test dataset containing 480 samples. The paper provides background on challenges in multi-script recognition and discusses preprocessing, segmentation, feature extraction and representation steps prior to classification.
This document summarizes frequent itemset mining algorithms. It introduces data mining and the Apriori algorithm. Apriori generates candidate itemsets and prunes those that are not frequent by scanning the database multiple times. The document proposes two new algorithms to improve efficiency: Impression reduces scans by pruning candidates using an impression table, while Transaction Database Spin reduces the database size between iterations by removing transactions not containing large itemsets. Both aim to reduce database access compared to Apriori.
This document describes the design of a high-speed Gray to binary code converter using a novel two transistor XOR gate. It introduces a low power and area efficient Gray to binary converter implemented using a two transistor XOR gate designed with two PMOS transistors. The converter and XOR gate are designed and simulated using Mentor Graphics tools. Simulation results show the converter has very low power dissipation and area requirements compared to other code converter designs.
The Department of Veteran Affairs (VA) invited Taylor Paschal, Knowledge & Information Management Consultant at Enterprise Knowledge, to speak at a Knowledge Management Lunch and Learn hosted on June 12, 2024. All Office of Administration staff were invited to attend and received professional development credit for participating in the voluntary event.
The objectives of the Lunch and Learn presentation were to:
- Review what KM ‘is’ and ‘isn’t’
- Understand the value of KM and the benefits of engaging
- Define and reflect on your “what’s in it for me?”
- Share actionable ways you can participate in Knowledge - - Capture & Transfer
"Frontline Battles with DDoS: Best practices and Lessons Learned", Igor IvaniukFwdays
At this talk we will discuss DDoS protection tools and best practices, discuss network architectures and what AWS has to offer. Also, we will look into one of the largest DDoS attacks on Ukrainian infrastructure that happened in February 2022. We'll see, what techniques helped to keep the web resources available for Ukrainians and how AWS improved DDoS protection for all customers based on Ukraine experience
Session 1 - Intro to Robotic Process Automation.pdfUiPathCommunity
👉 Check out our full 'Africa Series - Automation Student Developers (EN)' page to register for the full program:
https://bit.ly/Automation_Student_Kickstart
In this session, we shall introduce you to the world of automation, the UiPath Platform, and guide you on how to install and setup UiPath Studio on your Windows PC.
📕 Detailed agenda:
What is RPA? Benefits of RPA?
RPA Applications
The UiPath End-to-End Automation Platform
UiPath Studio CE Installation and Setup
💻 Extra training through UiPath Academy:
Introduction to Automation
UiPath Business Automation Platform
Explore automation development with UiPath Studio
👉 Register here for our upcoming Session 2 on June 20: Introduction to UiPath Studio Fundamentals: https://community.uipath.com/events/details/uipath-lagos-presents-session-2-introduction-to-uipath-studio-fundamentals/
Northern Engraving | Nameplate Manufacturing Process - 2024Northern Engraving
Manufacturing custom quality metal nameplates and badges involves several standard operations. Processes include sheet prep, lithography, screening, coating, punch press and inspection. All decoration is completed in the flat sheet with adhesive and tooling operations following. The possibilities for creating unique durable nameplates are endless. How will you create your brand identity? We can help!
inQuba Webinar Mastering Customer Journey Management with Dr Graham HillLizaNolte
HERE IS YOUR WEBINAR CONTENT! 'Mastering Customer Journey Management with Dr. Graham Hill'. We hope you find the webinar recording both insightful and enjoyable.
In this webinar, we explored essential aspects of Customer Journey Management and personalization. Here’s a summary of the key insights and topics discussed:
Key Takeaways:
Understanding the Customer Journey: Dr. Hill emphasized the importance of mapping and understanding the complete customer journey to identify touchpoints and opportunities for improvement.
Personalization Strategies: We discussed how to leverage data and insights to create personalized experiences that resonate with customers.
Technology Integration: Insights were shared on how inQuba’s advanced technology can streamline customer interactions and drive operational efficiency.
Lee Barnes - Path to Becoming an Effective Test Automation Engineer.pdfleebarnesutopia
So… you want to become a Test Automation Engineer (or hire and develop one)? While there’s quite a bit of information available about important technical and tool skills to master, there’s not enough discussion around the path to becoming an effective Test Automation Engineer that knows how to add VALUE. In my experience this had led to a proliferation of engineers who are proficient with tools and building frameworks but have skill and knowledge gaps, especially in software testing, that reduce the value they deliver with test automation.
In this talk, Lee will share his lessons learned from over 30 years of working with, and mentoring, hundreds of Test Automation Engineers. Whether you’re looking to get started in test automation or just want to improve your trade, this talk will give you a solid foundation and roadmap for ensuring your test automation efforts continuously add value. This talk is equally valuable for both aspiring Test Automation Engineers and those managing them! All attendees will take away a set of key foundational knowledge and a high-level learning path for leveling up test automation skills and ensuring they add value to their organizations.
The Microsoft 365 Migration Tutorial For Beginner.pptxoperationspcvita
This presentation will help you understand the power of Microsoft 365. However, we have mentioned every productivity app included in Office 365. Additionally, we have suggested the migration situation related to Office 365 and how we can help you.
You can also read: https://www.systoolsgroup.com/updates/office-365-tenant-to-tenant-migration-step-by-step-complete-guide/
AppSec PNW: Android and iOS Application Security with MobSFAjin Abraham
Mobile Security Framework - MobSF is a free and open source automated mobile application security testing environment designed to help security engineers, researchers, developers, and penetration testers to identify security vulnerabilities, malicious behaviours and privacy concerns in mobile applications using static and dynamic analysis. It supports all the popular mobile application binaries and source code formats built for Android and iOS devices. In addition to automated security assessment, it also offers an interactive testing environment to build and execute scenario based test/fuzz cases against the application.
This talk covers:
Using MobSF for static analysis of mobile applications.
Interactive dynamic security assessment of Android and iOS applications.
Solving Mobile app CTF challenges.
Reverse engineering and runtime analysis of Mobile malware.
How to shift left and integrate MobSF/mobsfscan SAST and DAST in your build pipeline.
ScyllaDB is making a major architecture shift. We’re moving from vNode replication to tablets – fragments of tables that are distributed independently, enabling dynamic data distribution and extreme elasticity. In this keynote, ScyllaDB co-founder and CTO Avi Kivity explains the reason for this shift, provides a look at the implementation and roadmap, and shares how this shift benefits ScyllaDB users.
Essentials of Automations: Exploring Attributes & Automation ParametersSafe Software
Building automations in FME Flow can save time, money, and help businesses scale by eliminating data silos and providing data to stakeholders in real-time. One essential component to orchestrating complex automations is the use of attributes & automation parameters (both formerly known as “keys”). In fact, it’s unlikely you’ll ever build an Automation without using these components, but what exactly are they?
Attributes & automation parameters enable the automation author to pass data values from one automation component to the next. During this webinar, our FME Flow Specialists will cover leveraging the three types of these output attributes & parameters in FME Flow: Event, Custom, and Automation. As a bonus, they’ll also be making use of the Split-Merge Block functionality.
You’ll leave this webinar with a better understanding of how to maximize the potential of automations by making use of attributes & automation parameters, with the ultimate goal of setting your enterprise integration workflows up on autopilot.
"Scaling RAG Applications to serve millions of users", Kevin GoedeckeFwdays
How we managed to grow and scale a RAG application from zero to thousands of users in 7 months. Lessons from technical challenges around managing high load for LLMs, RAGs and Vector databases.
"NATO Hackathon Winner: AI-Powered Drug Search", Taras KlobaFwdays
This is a session that details how PostgreSQL's features and Azure AI Services can be effectively used to significantly enhance the search functionality in any application.
In this session, we'll share insights on how we used PostgreSQL to facilitate precise searches across multiple fields in our mobile application. The techniques include using LIKE and ILIKE operators and integrating a trigram-based search to handle potential misspellings, thereby increasing the search accuracy.
We'll also discuss how the azure_ai extension on PostgreSQL databases in Azure and Azure AI Services were utilized to create vectors from user input, a feature beneficial when users wish to find specific items based on text prompts. While our application's case study involves a drug search, the techniques and principles shared in this session can be adapted to improve search functionality in a wide range of applications. Join us to learn how PostgreSQL and Azure AI can be harnessed to enhance your application's search capability.
Conversational agents, or chatbots, are increasingly used to access all sorts of services using natural language. While open-domain chatbots - like ChatGPT - can converse on any topic, task-oriented chatbots - the focus of this paper - are designed for specific tasks, like booking a flight, obtaining customer support, or setting an appointment. Like any other software, task-oriented chatbots need to be properly tested, usually by defining and executing test scenarios (i.e., sequences of user-chatbot interactions). However, there is currently a lack of methods to quantify the completeness and strength of such test scenarios, which can lead to low-quality tests, and hence to buggy chatbots.
To fill this gap, we propose adapting mutation testing (MuT) for task-oriented chatbots. To this end, we introduce a set of mutation operators that emulate faults in chatbot designs, an architecture that enables MuT on chatbots built using heterogeneous technologies, and a practical realisation as an Eclipse plugin. Moreover, we evaluate the applicability, effectiveness and efficiency of our approach on open-source chatbots, with promising results.
AI in the Workplace Reskilling, Upskilling, and Future Work.pptxSunil Jagani
Discover how AI is transforming the workplace and learn strategies for reskilling and upskilling employees to stay ahead. This comprehensive guide covers the impact of AI on jobs, essential skills for the future, and successful case studies from industry leaders. Embrace AI-driven changes, foster continuous learning, and build a future-ready workforce.
Read More - https://bit.ly/3VKly70