This document summarizes research on the performance impact of black hole attacks on mobile ad hoc networks (MANETs) using different routing protocols. The researchers conducted simulations using OPNET to evaluate the effects of black hole attacks on network throughput, delay, and load under three routing protocols: AODV, OLSR, and DSR. With AODV, the presence of black hole attackers significantly reduced throughput and increased delay by discarding packets. OLSR was not significantly affected by attackers. With DSR, throughput increased over time with attackers due to increasing discarded packets. The research analyzed how black hole attacks degrade MANET performance depending on the routing protocol used.
S IMULATION B ASED S TUDY OF C OOPERATIVE B LACK H OLE A TTACK R ESOLU...pijans
An Ad hoc Network is a pool of wireless mobile node
s energetically forming a network without the use o
f
any pre-accessible network infrastructure or centra
lized administrator. These nodes communicate with
each other by hop-to-hop communication. This dynami
c topology of mobile ad-hoc networks (MANETs)
allows nodes to get attached and leave the network
at any second of time. Thus MANET can be used in a
variety of fields. Current MANETs are designed prim
ary for military utility. This generic characterist
ic of
MANET has rendered its vulnerability to security at
tacks. Due to which unprotected attacks of the
malicious nodes can occur at any time. This paper f
ocuses on one such attack known as “Black hole
attack” and the routing protocol being used here is
AODV
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.
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.
Mobile Ad-hoc Network is group of wireless mobile device with restricted broadcast range and no use of base Infrastructure. The secure routing model helps for reduced honest elicitation and free riding problem. The term honest elicitation means it forward high recommendation for malicious node in order to avoid itself. It means the high recommendation for colludingmalicious node. When operating in hostile or suspicious setting, MANETs require privacy and ,communication security in routing protocol. In this paper we present the type of attacks and operation on network layer with routing protocol technique i.e. based on an on-demand locationbased anonymous MANET routing protocol called SMRT (secure MANET routing technique ,with trust model) that achieves security and privacy against insider and outsider adversaries.
Mobile ad hoc network (MANET) is an autonomous system of mobile nodes. Each node operates not only as an end system, but also as a router to forward packets. The nodes are free to move about and organize themselves into a network. These cause extra challenges on security. In this paper, evaluation of prominent on-demand routing protocol i.e. AODV,MAODV,RAODV has been done by varying the network size. An effort has been carried out to do the performance evaluation of these protocols using random way point model. The simulator used is NS 2.34. The performance of either protocol has been studied by using a self created network scenario with respect to pause time.
A new ids scheme against blackhole attack to enhance security in wireless net...eSAT Journals
Abstract The aim of this paper is to protect the wireless network against the blackhole attack. Blackhole attack, as the name suggest, drops all the packets forwarded to it. In this paper, we have proposed an intrusion detection system (IDS) scheme to detect the malicious node (blackhole node) and to nullify its effect in the network. The proposed IDS scheme in the presence of blackhole attack gives approximately similar result as that of in the absence of attack. The network comprises for the three modules (i) Default AODV, (ii) AODV in the presence of blackhole attack and (iii) IDS scheme in the presence of attack by considering some parameters such as end to end delay, throughput, packet delivery ratio, normalized routing load etc. The proposed algorithm has been simulated on Network Simulator version-2 (NS-2). Key Words: AODV, Blackhole attack, DSN, IDS scheme, routing misbehavior, security
S IMULATION B ASED S TUDY OF C OOPERATIVE B LACK H OLE A TTACK R ESOLU...pijans
An Ad hoc Network is a pool of wireless mobile node
s energetically forming a network without the use o
f
any pre-accessible network infrastructure or centra
lized administrator. These nodes communicate with
each other by hop-to-hop communication. This dynami
c topology of mobile ad-hoc networks (MANETs)
allows nodes to get attached and leave the network
at any second of time. Thus MANET can be used in a
variety of fields. Current MANETs are designed prim
ary for military utility. This generic characterist
ic of
MANET has rendered its vulnerability to security at
tacks. Due to which unprotected attacks of the
malicious nodes can occur at any time. This paper f
ocuses on one such attack known as “Black hole
attack” and the routing protocol being used here is
AODV
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.
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.
Mobile Ad-hoc Network is group of wireless mobile device with restricted broadcast range and no use of base Infrastructure. The secure routing model helps for reduced honest elicitation and free riding problem. The term honest elicitation means it forward high recommendation for malicious node in order to avoid itself. It means the high recommendation for colludingmalicious node. When operating in hostile or suspicious setting, MANETs require privacy and ,communication security in routing protocol. In this paper we present the type of attacks and operation on network layer with routing protocol technique i.e. based on an on-demand locationbased anonymous MANET routing protocol called SMRT (secure MANET routing technique ,with trust model) that achieves security and privacy against insider and outsider adversaries.
Mobile ad hoc network (MANET) is an autonomous system of mobile nodes. Each node operates not only as an end system, but also as a router to forward packets. The nodes are free to move about and organize themselves into a network. These cause extra challenges on security. In this paper, evaluation of prominent on-demand routing protocol i.e. AODV,MAODV,RAODV has been done by varying the network size. An effort has been carried out to do the performance evaluation of these protocols using random way point model. The simulator used is NS 2.34. The performance of either protocol has been studied by using a self created network scenario with respect to pause time.
A new ids scheme against blackhole attack to enhance security in wireless net...eSAT Journals
Abstract The aim of this paper is to protect the wireless network against the blackhole attack. Blackhole attack, as the name suggest, drops all the packets forwarded to it. In this paper, we have proposed an intrusion detection system (IDS) scheme to detect the malicious node (blackhole node) and to nullify its effect in the network. The proposed IDS scheme in the presence of blackhole attack gives approximately similar result as that of in the absence of attack. The network comprises for the three modules (i) Default AODV, (ii) AODV in the presence of blackhole attack and (iii) IDS scheme in the presence of attack by considering some parameters such as end to end delay, throughput, packet delivery ratio, normalized routing load etc. The proposed algorithm has been simulated on Network Simulator version-2 (NS-2). Key Words: AODV, Blackhole attack, DSN, IDS scheme, routing misbehavior, security
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
TRIDNT: THE TRUST-BASED ROUTING PROTOCOL WITH CONTROLLED DEGREE OF NODE SELFI...IJNSA Journal
In Mobile ad-hoc network, nodes must cooperate to achieve the routing purposes. Node misbehaviour due to selfish or malicious intention could significantly degrade the performance of MANET because most existing routing protocols in MANET are aiming at finding most efficiency path. In this paper, we propose a Two node-disjoint Routes protocol for Isolating Dropper Node in MANET (TRIDNT) to deal with misbehaviour in MANET. TRIDNT allows some degree of selfishness to give an incentive to the selfish nodes to declare itself to its neighbours, which reduce the misbehaving nodes searching time. In TRIDNT two node-disjoint routes between the source and destination are selected based on their trust values. We use both DLL-ACK and end-to-end TCP-ACK to monitor the behaviour of routing path nodes: if a malicious behaviour is detected then the path searching tool starts to identify the malicious nodes and isolate them. Finally by using a mathematical analysis we find that our proposed protocol reduces the searching time of malicious nodes comparing to the route expected life time, and avoids the isolated misbehaving node from sharing in all future routes, which improve the overall network throughput.
Analysis of Blackhole Attack in AODV and DSR IJECEIAES
Mobile Ad-Hoc Networks (MANETs) are supreme ruler and demoralization wireless scheme. MANETs are infrastructure less i.e. their structure is not fixed, and the nodes be able to move about and can leave the network whenever they want. The nodes are to perform as more over router and host. In MANETs, the node can be in contact with every node as their configuration is not fixed and the nodes starts transmitting the packets to each other for the establishment of the connection. To hitch the link, the nodes make use of some routing protocols like Ad-Hoc On Demand Distance Vector (AODV), Dynamic Source Routing (DSR), and DestinationSequenced Distance Vector (DSDV). Security in MANET is the key matter meant for the fundamental utility of network. There are many attacks caused in MANET. Blackhole attack is one that occurs in MANET. A Black hole attack is an attack where the node, which is malicious advertise itself as having the optimal route to the destination and drops all the packets instead of forwarding further t o the destination. Here, we have shown the blackhole attack in AODV and DSR. Through simulation we evaluate the performance of the two above protocols under blackhole attack.
Target Detection System (TDS) for Enhancing Security in Ad hoc Networkijdpsjournal
The idea of an ad hoc network is a new pattern that allows mobile hosts (nodes) to converse without relying
on a predefined communications to keep the network connected. Most nodes are implicit to be mobile and
communication is implicit to be wireless. Ad-hoc networks are collaborative in the sense that each node is
assumed to relay packets for other nodes that will in return relay their packets. Thus all nodes in an ad-hoc
network form part of the network’s routing infrastructure. The mobility of nodes in an ad-hoc network
denotes that both the public and the topology of the network are extremely active. It is very difficult to
design a once-for-all target detection system. Instead, an incremental enrichment strategy may be more
feasible. A safe and sound protocol should at least include mechanisms against known assault types. In
addition, it should provide a system to easily add new security features in the future. Due to the
significance of MANET routing protocols, we focus on the recognition of attacks targeted at MANET
routing protocols.
Intrusion detection techniques for cooperation of node in MANET have been chosen as the security
parameter. This includes Watchdog and Path rater approach. It also nearby Reputation Based Schemes in
which Reputation concerning every node is measured and will be move to every node in network.
Reputation is defined as Someone’s donation to network operation. CONFIDANT [23], CORE [25],
OCEAN [24] schemes are analyzed and will be here also compared based on various parameters.
A Multiparametric Reliable AODV Protocol using Alternate Routing in MANET’s u...Editor IJCATR
In this paper, we design and formulate a trust-based routing protocol for secure transactions, such as military and disaster
relief operations, banking in mobile ad hoc networks (MANETs). The proposed approach is showing the idea of a trust model in the
network layer of MANET.AODV is ad hoc on demand distance vector, this protocol starts the route specially when some node claims
to send data. In AODV whenever a link breaks an error message is sent indicating the link and packet sending is dropped. In our
proposed scheme a packet is sent through alternative path. In this approach a trust node is made with neighbors. Simulation results
shows that proposed scheme has less packet loss and packet ratio delivered is more.
Optimised Proactive Link State Routing For DOS Attack PreventionEditor IJCATR
A Mobile Ad hoc Network is a collection of independent mobile nodes that can communicate to each other via radio waves. The mobile nodes that are in radio range of each other can directly communicate, whereas others need the aid of intermediate nodes to route their packets. Each node has a wireless interface to communicate with each other. These networks are fully distributed, and can work at any place without the help of any fixed infrastructure as access points or base stations. Routing protocols are divided into two broad classes – Reactive and Proactive. In Reactive or on demand routing protocols the routes are created only when they are needed. The application of this protocol can be seen in the Dynamic Source Routing Protocol (DSR) and the Ad-hoc On-demand Distance Vector Routing Protocol (AODV). Wherein Proactive or Table-driven routing protocols the nodes keep updating their routing tables by periodical messages. OPSR proposes a proactive mechanism in source routing.
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
Review on Grey- Hole Attack Detection and PreventionIJARIIT
These Grey Hole attacks poses a serious security threat to the routing services by attacking the reactive routing protocols resulting in drastic drop of data packets. AODV (Ad hoc on demand Distance Vector) routing being one of the many protocols often becomes an easy victim to such attacks. The survey also gives up-to-date information of all the works that have been done in this area. Besides the security issues they also described the layered architecture of MANET, their applications and a brief summary of the proposed works that have been done in this area to secure the network from Grey Hole attacks
PERUSAL OF INTRUSION DETECTION AND PREVENTION SYSTEM ON A MANET WITH BLACK HO...ijsptm
MANET is a self configuring network of nodes which is a wireless . The nodes in this network move
randomly .Mobility of nodes is more. The nodes are dynamic and infrastructure less ,self maintainable. In
MANET there are many types of security attacks like Blackhole, greyhole attack, wormhole, jellyfish etc.
When the MANET is under blackhole attack there is a loss of energy which is high at the node resulting in
loss of battery backup and also excess of bandwidth may be consumed by the attacker. The attacker is an
insider. Among various mobility models to generate mobility patterns the Random waypoint mobility
model is used .To solve these issues an IDPS framework for MANET using image processing techniques
under blackhole attack is proposed to detect the blackhole attack RREP by providing security services like
authentication and confidentiality.
Performance Analysis of Routing Protocols (ADSDV, OLSR and TORA) in Wireless ...ijsrd.com
In routing process a node i.e. source transmit the data packets to another node i.e. destination. Routing in wireless networks have great challenges due to mobility, limited transmission range, There are several familiar routing protocols like DSDV, AODV, DSR, etc. which have been proposed for providing communication among all the nodes in the network. This paper presents a performance comparison of proactive and reactive protocols ADSDV, OLSR and TORA based on metrics such as throughput, packet delivery ratio and average end-to-end delay by using the NS-2 simulator.
Modified AODV Algorithm using Data Mining Process: Classification and Clusteringidescitation
Security of Wireless Ad hoc network has a primary
concern to provide protected communication between mobile
nodes. When we routing some packet it can use both malicious
node or authenticate node for forwarding and receiving data.
Malicious node can attack like black hole, misuse of data or
hacked information. Our aim is to discuss the feasibility of
monitoring the node of different networks, to analyze it for
providing better security in AODV routing protocol. We
implement data mining techniques for search large amount
of data according characteristic rules and patterns to detect
malicious node. We have used growing neural gas (GNS)
clustering algorithm to make clusters and analysis data. Using
soft computing technique we find patterns, analysis node and
take decision based on decision tree.
Performance Analysis of Malicious Node in the Different Routing Algorithms in...ijsrd.com
An ad hoc network is a collection of mobile nodes that dynamically form a provisional network. It operates without the use of existing infrastructure. Two on- demand routing protocols used in Ad-Hoc networks is AODV (Ad-Hoc On demand Distance Vector) protocol and DSR (Dynamic Source Routing) protocol. The security of the AODV protocol is compromised by a particular of attack called “Black Hole†attack. In this attack, a malicious node advertises itself as having the shortest path with highest sequence number to the node whose packets it wants to intercept. To reduce the probability, it is proposed to wait and check the replies from all the neighboring nodes to find a safe route. AODV protocol provides better performance than the DSR in the presence of Black holes with minimal additional delay and Overhead. Computer simulation using NS2 simulator on Linux operating system shows the behavior of malicious node. In this paper, we simulate and analyzed which routing method is best or suitable in different malicious behaviors
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
TRIDNT: THE TRUST-BASED ROUTING PROTOCOL WITH CONTROLLED DEGREE OF NODE SELFI...IJNSA Journal
In Mobile ad-hoc network, nodes must cooperate to achieve the routing purposes. Node misbehaviour due to selfish or malicious intention could significantly degrade the performance of MANET because most existing routing protocols in MANET are aiming at finding most efficiency path. In this paper, we propose a Two node-disjoint Routes protocol for Isolating Dropper Node in MANET (TRIDNT) to deal with misbehaviour in MANET. TRIDNT allows some degree of selfishness to give an incentive to the selfish nodes to declare itself to its neighbours, which reduce the misbehaving nodes searching time. In TRIDNT two node-disjoint routes between the source and destination are selected based on their trust values. We use both DLL-ACK and end-to-end TCP-ACK to monitor the behaviour of routing path nodes: if a malicious behaviour is detected then the path searching tool starts to identify the malicious nodes and isolate them. Finally by using a mathematical analysis we find that our proposed protocol reduces the searching time of malicious nodes comparing to the route expected life time, and avoids the isolated misbehaving node from sharing in all future routes, which improve the overall network throughput.
Analysis of Blackhole Attack in AODV and DSR IJECEIAES
Mobile Ad-Hoc Networks (MANETs) are supreme ruler and demoralization wireless scheme. MANETs are infrastructure less i.e. their structure is not fixed, and the nodes be able to move about and can leave the network whenever they want. The nodes are to perform as more over router and host. In MANETs, the node can be in contact with every node as their configuration is not fixed and the nodes starts transmitting the packets to each other for the establishment of the connection. To hitch the link, the nodes make use of some routing protocols like Ad-Hoc On Demand Distance Vector (AODV), Dynamic Source Routing (DSR), and DestinationSequenced Distance Vector (DSDV). Security in MANET is the key matter meant for the fundamental utility of network. There are many attacks caused in MANET. Blackhole attack is one that occurs in MANET. A Black hole attack is an attack where the node, which is malicious advertise itself as having the optimal route to the destination and drops all the packets instead of forwarding further t o the destination. Here, we have shown the blackhole attack in AODV and DSR. Through simulation we evaluate the performance of the two above protocols under blackhole attack.
Target Detection System (TDS) for Enhancing Security in Ad hoc Networkijdpsjournal
The idea of an ad hoc network is a new pattern that allows mobile hosts (nodes) to converse without relying
on a predefined communications to keep the network connected. Most nodes are implicit to be mobile and
communication is implicit to be wireless. Ad-hoc networks are collaborative in the sense that each node is
assumed to relay packets for other nodes that will in return relay their packets. Thus all nodes in an ad-hoc
network form part of the network’s routing infrastructure. The mobility of nodes in an ad-hoc network
denotes that both the public and the topology of the network are extremely active. It is very difficult to
design a once-for-all target detection system. Instead, an incremental enrichment strategy may be more
feasible. A safe and sound protocol should at least include mechanisms against known assault types. In
addition, it should provide a system to easily add new security features in the future. Due to the
significance of MANET routing protocols, we focus on the recognition of attacks targeted at MANET
routing protocols.
Intrusion detection techniques for cooperation of node in MANET have been chosen as the security
parameter. This includes Watchdog and Path rater approach. It also nearby Reputation Based Schemes in
which Reputation concerning every node is measured and will be move to every node in network.
Reputation is defined as Someone’s donation to network operation. CONFIDANT [23], CORE [25],
OCEAN [24] schemes are analyzed and will be here also compared based on various parameters.
A Multiparametric Reliable AODV Protocol using Alternate Routing in MANET’s u...Editor IJCATR
In this paper, we design and formulate a trust-based routing protocol for secure transactions, such as military and disaster
relief operations, banking in mobile ad hoc networks (MANETs). The proposed approach is showing the idea of a trust model in the
network layer of MANET.AODV is ad hoc on demand distance vector, this protocol starts the route specially when some node claims
to send data. In AODV whenever a link breaks an error message is sent indicating the link and packet sending is dropped. In our
proposed scheme a packet is sent through alternative path. In this approach a trust node is made with neighbors. Simulation results
shows that proposed scheme has less packet loss and packet ratio delivered is more.
Optimised Proactive Link State Routing For DOS Attack PreventionEditor IJCATR
A Mobile Ad hoc Network is a collection of independent mobile nodes that can communicate to each other via radio waves. The mobile nodes that are in radio range of each other can directly communicate, whereas others need the aid of intermediate nodes to route their packets. Each node has a wireless interface to communicate with each other. These networks are fully distributed, and can work at any place without the help of any fixed infrastructure as access points or base stations. Routing protocols are divided into two broad classes – Reactive and Proactive. In Reactive or on demand routing protocols the routes are created only when they are needed. The application of this protocol can be seen in the Dynamic Source Routing Protocol (DSR) and the Ad-hoc On-demand Distance Vector Routing Protocol (AODV). Wherein Proactive or Table-driven routing protocols the nodes keep updating their routing tables by periodical messages. OPSR proposes a proactive mechanism in source routing.
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
Review on Grey- Hole Attack Detection and PreventionIJARIIT
These Grey Hole attacks poses a serious security threat to the routing services by attacking the reactive routing protocols resulting in drastic drop of data packets. AODV (Ad hoc on demand Distance Vector) routing being one of the many protocols often becomes an easy victim to such attacks. The survey also gives up-to-date information of all the works that have been done in this area. Besides the security issues they also described the layered architecture of MANET, their applications and a brief summary of the proposed works that have been done in this area to secure the network from Grey Hole attacks
PERUSAL OF INTRUSION DETECTION AND PREVENTION SYSTEM ON A MANET WITH BLACK HO...ijsptm
MANET is a self configuring network of nodes which is a wireless . The nodes in this network move
randomly .Mobility of nodes is more. The nodes are dynamic and infrastructure less ,self maintainable. In
MANET there are many types of security attacks like Blackhole, greyhole attack, wormhole, jellyfish etc.
When the MANET is under blackhole attack there is a loss of energy which is high at the node resulting in
loss of battery backup and also excess of bandwidth may be consumed by the attacker. The attacker is an
insider. Among various mobility models to generate mobility patterns the Random waypoint mobility
model is used .To solve these issues an IDPS framework for MANET using image processing techniques
under blackhole attack is proposed to detect the blackhole attack RREP by providing security services like
authentication and confidentiality.
Performance Analysis of Routing Protocols (ADSDV, OLSR and TORA) in Wireless ...ijsrd.com
In routing process a node i.e. source transmit the data packets to another node i.e. destination. Routing in wireless networks have great challenges due to mobility, limited transmission range, There are several familiar routing protocols like DSDV, AODV, DSR, etc. which have been proposed for providing communication among all the nodes in the network. This paper presents a performance comparison of proactive and reactive protocols ADSDV, OLSR and TORA based on metrics such as throughput, packet delivery ratio and average end-to-end delay by using the NS-2 simulator.
Modified AODV Algorithm using Data Mining Process: Classification and Clusteringidescitation
Security of Wireless Ad hoc network has a primary
concern to provide protected communication between mobile
nodes. When we routing some packet it can use both malicious
node or authenticate node for forwarding and receiving data.
Malicious node can attack like black hole, misuse of data or
hacked information. Our aim is to discuss the feasibility of
monitoring the node of different networks, to analyze it for
providing better security in AODV routing protocol. We
implement data mining techniques for search large amount
of data according characteristic rules and patterns to detect
malicious node. We have used growing neural gas (GNS)
clustering algorithm to make clusters and analysis data. Using
soft computing technique we find patterns, analysis node and
take decision based on decision tree.
Performance Analysis of Malicious Node in the Different Routing Algorithms in...ijsrd.com
An ad hoc network is a collection of mobile nodes that dynamically form a provisional network. It operates without the use of existing infrastructure. Two on- demand routing protocols used in Ad-Hoc networks is AODV (Ad-Hoc On demand Distance Vector) protocol and DSR (Dynamic Source Routing) protocol. The security of the AODV protocol is compromised by a particular of attack called “Black Hole†attack. In this attack, a malicious node advertises itself as having the shortest path with highest sequence number to the node whose packets it wants to intercept. To reduce the probability, it is proposed to wait and check the replies from all the neighboring nodes to find a safe route. AODV protocol provides better performance than the DSR in the presence of Black holes with minimal additional delay and Overhead. Computer simulation using NS2 simulator on Linux operating system shows the behavior of malicious node. In this paper, we simulate and analyzed which routing method is best or suitable in different malicious behaviors
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
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
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
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
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
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
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
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
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
International Journal of Engineering Research and Applications (IJERA) is a team of researchers not publication services or private publications running the journals for monetary benefits, we are association of scientists and academia who focus only on supporting authors who want to publish their work. The articles published in our journal can be accessed online, all the articles will be archived for real time access.
Our journal system primarily aims to bring out the research talent and the works done by sciaentists, academia, engineers, practitioners, scholars, post graduate students of engineering and science. This journal aims to cover the scientific research in a broader sense and not publishing a niche area of research facilitating researchers from various verticals to publish their papers. It is also aimed to provide a platform for the researchers to publish in a shorter of time, enabling them to continue further All articles published are freely available to scientific researchers in the Government agencies,educators and the general public. We are taking serious efforts to promote our journal across the globe in various ways, we are sure that our journal will act as a scientific platform for all researchers to publish their works online.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
A SYMMETRIC TOKEN ROUTING FOR SECURED COMMUNICATION OF MANET cscpconf
The communication should be much secured in Mobile Adhoc Networks in the
protective environment such as Military atmosphere and in a disaster relief. Due to the attackers,
Mobile Adhoc Networks resulting in denial of Service attacks modify packets, Error packets,
Missing Packets, Theft of Nodes, etc. To overcome this problem, We propose a new Symmetric
Token Routing Protocol (STRP) for mobile ad hoc networks provides much security against
MANET. The proposed protocol distributed a secured shared symmetric token for each node to
provide security against hackers and attackers. Simulation results shows the better delivery against
the existing protocol in MANET.
Generating images from a text description is as challenging as it is interesting. The Adversarial network
performs in a competitive fashion where the networks are the rivalry of each other. With the introduction of
Generative Adversarial Network, lots of development is happening in the field of Computer Vision. With
generative adversarial networks as the baseline model, studied Stack GAN consisting of two-stage GANS
step-by-step in this paper that could be easily understood. This paper presents visual comparative study of
other models attempting to generate image conditioned on the text description. One sentence can be related
to many images. And to achieve this multi-modal characteristic, conditioning augmentation is also
performed. The performance of Stack-GAN is better in generating images from captions due to its unique
architecture. As it consists of two GANS instead of one, it first draws a rough sketch and then corrects the
defects yielding a high-resolution image.
Performance measurement of MANET routing protocols under Blackhole security a...iosrjce
IOSR Journal of Computer Engineering (IOSR-JCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of computer engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in computer technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
Survey of wormhole attack in wireless sensor networksCSITiaesprime
From the last decade, a wireless sensor network (WSN) has a very important role over the networks. The primary features of WSN include satellite communication, broadcast channel, hostile environment, medical system and data gathering. There are a lot of attacks available in WSN. In wormhole attack scenario is brutal from other attacks, which is smoothly resolved in networks but tough to observe. This survey paper is an experiment to observing threats and also focuses on some different method to identify the wormhole attacks.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
PERFORMANCE ANALYSIS OF ROUTING PROTOCOLS IN MANET UNDER MALICIOUS ATTACKSIJNSA Journal
MANETs routing protocols are vulnerable to various types of security attacks such as selfish nodes, grey-hole and black-hole attacks. These routing protocols are unprotected and subsequently result in various kinds of malicious mobile nodes being injected into the networks. In this paper, three types of attacks such as selfish, grey-hole and black-hole attacks have been applied to two important MANET routing protocols; Ad-hoc On demand Distance Vector (OADV) and Dynamic Source Routing (DSR) in order to analyse and compare the impact of these attacks on the network performance based on throughput, average delay, packet loss and consumption of energy.
PERFORMANCE ANALYSIS OF ROUTING ROTOCOLS IN MANET UNDER MALICIOUS ATTACKSIJNSA Journal
MANETs routing protocols are vulnerable to various
hole and black-hole attacks. These routing protocols are unprotected and subsequently result in various
kinds of malicious mobile nodes being injected into the networks. In this paper, three types of a
as selfish, grey-hole and black-hole attacks have been applied to two important MANET routing protocols;
Ad-hoc On demand Distance Vector (OADV) and Dynamic Source Routing (DSR) in order to analyse and
compare the impact of these attacks on the
packet loss and consumption of energy.
A NOVEL INTRUSION DETECTION SYSTEM FOR DETECTING BLACK-HOLE NODES IN MANETSFransiskeran
Mobile ad-hoc networks (MANETs) are autonomous,infrastructure less, self-organized networks. In
MANETs, nodes are not stationary and thus move arbitrarily, resulting in rapid and unpredictable
topology changes in the network. Due to the limited transmission range of the nodes in the MANETs, these
nodes are not capable of directly communicating with each other. Hence, routing paths in MANETs
potentially contain multiple hops, and every node in it has the responsibility to act as a router.So, the
presence of any intermediate node in the route, which is either highly congested or behaving as a malicious
node, is likely to drop the packets. In computer networking, this type of attack is known as a packet drop
attack or black hole attack which is a type of denial-of-service attack in which a router that is supposed to
relay packets instead discards them. The proposed algorithm will detect black hole nodes in the network by
implementing changes into the existing AODV routing algorithm. The implementation of the algorithm was
being achieved using theNS-2 simulator.
One of the most popular areas of research is wireless communication. Mobile Ad Hoc network (MANET) is a network with wireless mobile nodes, infrastructure less and self organizing. With its wireless and distributed nature it is exposed to several security threats. One of the threats in MANET is the wormhole attack. In this attack a pair of attacker forms a virtual link thereby recording and replaying the wireless transmission. This paper presents types of wormhole attack and also includes different technique for detecting wormhole attack in MANET..
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
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.
Performance investigation of re shuffling packet attack on transport layer pr...eSAT Journals
Abstract Over the past decade, the wireless world has experienced significant developments. The emergence and proliferation of radio frequency networking products, wireless devices like handheld, wearable and portable computers, Personal Digital Assistants (PDA)s, cellular phone have given rise to a kind of wireless revolution. A mobile ad hoc network is much more assailable to attacks than a wired network due to its limited physical security, high mobility and lack of centralized administration. In this paper, we present and analyze the effects of re-shuffling attack on TCP based mobile ad-hoc networks named as Packet Re-Shuffling. In the packet reshuffling attack the malicious node will reorder the packets in its FIFO buffer before forwarding them towards their destination. Due to the out of order delivery the retransmission time out of the packet is triggered and the source TCP and UDP has to retransmit the packet. In this way it also stops the TCP to perform the congestion avoidance technique. A malicious node will always participate in route setup operations. For example, if source routing is employed, malicious nodes always relay Route Request packets in order to have as many routes as possible flowing through themselves; if distance vector routing is employed, malicious nodes will also obey all control-plane protocol specifications. However, once a route is established, attacking nodes will thwart the end-to-end throughput of the flow via above mentioned attacks. The effect of the proposed attack is analyzed with the simulation results generated using the trial version of the simulator known as Exata Cyber 2.0. The simulation results are given in terms of metrics such as data flow throughput, Packet Retransmission, average end-to-end delay and packet delivery ratio. In this paper, we are giving The study on UDP and TCP. Keywords: MANETs; Multimedia Streaming; Routing protocols; QoS; Topology; Node Mobility; Network Scalability;
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf
He3413241328
1. Tarandeep Kaur, Amarvir Singh / International Journal of Engineering Research and
Applications (IJERA) ISSN: 2248-9622 www.ijera.com
Vol. 3, Issue 4, Jul-Aug 2013, pp.1324-1328
1324 | P a g e
Performance Evaluation of MANET with Black Hole Attack
Using Routing Protocols
Tarandeep Kaur1
, Amarvir Singh2
1, 2
Punjabi university, DEPT. of Computer science, Patiala, India
ABSTRACT
Mobile Ad hoc networks (MANET) are
collection of wireless nodes that communicate with
each other with the help of wireless links. MANET
is vulnerable to different attacks due to its feature
open medium, dynamic topology, no central
authority and no clear defense mechanism. One of
the attacks is black hole attack in which a
malicious node intercepts the packets being
transmitted to another node in the network. As
the data packets do not reach the destination,
Data loss occurs which affects the performance of
network badly. Our aim of the paper is to analyze
the impact of the Black hole attack on MANET
performance and how it affects the various
performance metrics of the network by comparing
the network performance with and without black
hole nodes.
Keywords- Black hole attack, Manet, Routing
protocols.
I. INTRODUCTION
MANET is considered a collection of
wireless mobile nodes that communicate with each
other without the use of a network infrastructure or
central base station. Mobile nodes dynamically create
routes among themselves to form own wireless
network on the fly and organize themselves into a
network. In such a network, each mobile node
operates not only as a host but also as a router,
forwarding packets for other mobile nodes in the
network that may not be within direct wireless
transmission range of each other. These
infrastructure-less mobile nodes in ad hoc networks
dynamically create routes among themselves to form
own wireless network on the fly. Different
applications of MANET are sensor networks, vehicle
to vehicle communication, military battlefields and
emergency services. These wireless links makes the
MANETs more susceptible to attacks, which make it
easier for the attacker to go inside the network and
get access to the ongoing communication. Black hole
attack is one kind of attack that a MANET suffers
from. In black hole attack, a malicious node uses its
routing protocol in order to advertise itself for having
the shortest path to the destination node or to the
packet it wants to intercept.
This paper is divided into seven sections.
Section 2 describes the black hole attack occurring in
the network and the security issues related to the
Attack. Section 3 consists of types of routing
protocols that are used to find the secure path
between the source and the destination node. Section
4 is of the previous work done on black hole attack.
Section 5 consists of simulation methodology for
analyzing the network with black hole attack and
without black hole attack. Section 6 gives simulation
results of our proposed model. Finally, the paper is
concluded in section 7.
1.1 BLACK HOLE ATTACK
Black hole attack is an attack in which
malicious node uses its routing protocol to advertise
itself for having the shortest path with minimum hops
to the destination node whose data packet it wants to
take away. In this way attacker node is always
available to the nodes whose packets it wants to
retain.
Fig. 1.1
In figure 1.1 Node A want to send data
packets to node D and initiate the route discovery
mechanism by sending a Route request message to all
the nodes in the network. Node C is a malicious node
it presents itself for having a shortest route to the
destination node as soon as it receives route request
(RREQ) message. It will then respond to node A
before any other node responds. In this way node A
will think that this is the only shortest route and thus
will complete its route discovery mechanism. Node A
will ignore all other replies and will start sending data
packets to node C. In this way all the data packet will
be intercepted by node C.
Due to these attacks, transmission of the
data between the source and destination has become
insecure. These attacker nodes exploit the network by
becoming the part of the network. One of the reasons
that make the network more susceptible to these
attacks is its wireless links due to which attacker
2. Tarandeep Kaur, Amarvir Singh / International Journal of Engineering Research and
Applications (IJERA) ISSN: 2248-9622 www.ijera.com
Vol. 3, Issue 4, Jul-Aug 2013, pp.1324-1328
1325 | P a g e
nodes go inside the network and starts intercepting
the packets being transmitted which leads to data
loss.
1.2 ROUTING PROTOCOLS
The primary goal of routing protocols is to
securely deliver the data packets by finding a shortest
path between source and destination with minimum
hops. A MANET protocol work for small sized
network to large sized network. Routing protocols
can be divided into proactive, reactive and hybrid
protocols, depending on the routing topology.
Proactive protocols are typically table driven.
Examples of this type include Optimized link state
routing (OLSR), Destination Sequence Distance
Vector (DSDV) protocols. Reactive or source-
initiated on demand protocols, do not periodically
update the routing information. It is propagated to the
nodes only when necessary. Example of this type
includes Dynamic Source Routing (DSR) and Ad
Hoc On-Demand Distance Vector (AODV). Hybrid
protocols make use of both reactive and proactive
approaches. Example of this type includes Zone
Routing Protocol (ZRP).
II. RELATED WORK
Mohammad Al-Shurman [2] has proposed solution
in which host node sends a packet that includes the
packet id and sequence number to destination node
through three different paths. When any intermediate
node or malicious node has a route to the destination
node will reply to that packet. Once the source node
collects all the reply from the intermediate nodes,
source node will check for the secure route to the
destination.
Sanjay Ramaswamy [6] proposed a solution for
multiple black hole nodes in a network. He modified
AODV routing protocol by introducing new concept
of data routing information table and cross checking.
In DRI table, every intermediate node maintains a
DRI table which will record information about the
node traversed before and node traversed after the
intermediate node. Once the data is transmitted cross
checking is done to check the data loss occurred
during the transmission.
Hesiri Weerasinghe [4] studied the problem of
cooperative black hole attack in MANET. He has
compared the performance of the network in terms of
throughput, end to end delay, packet loss and packet
overhead by varying the number of black hole nodes,
number of mobile nodes, mobility speed and the size
of terrain area. Simulation results show greater
reduction in terms of throughput and packet loss.
K. Lakshmi [7] proposed an algorithm named
Prior_ReceiveReply with six steps. In first step
current time is retrieved and that current time is
added to the waiting time that is set for the source
node to receive route request from the intermediate
nodes. Second step is of storing the RREQ
destination sequence number (DSN) and node ID into
a table called RR table (Route Reply). Next third step
is of identifying and removing the malicious node.
The first entry in the RR table with the greatest DSN
is of malicious node. If the difference between the
DSN of source node and the first entry in RR table is
much greater than remove that first entry from the
RR table. In this way a malicious node is identified
and removed. In next step, second entry with higher
DSN in the RR table is selected. In the last step, with
that entry the default process is continued.
Dinesh [5] analyzed the behavior of malicious node
in different routing protocols in MANET. He
proposed a solution for finding a safe route by
waiting and checking the replies received from the
intermediate nodes. He observed the network under
varying network mobility with maximum speed of
10m/s. He concluded that AODV routing protocol
results in a better performance with black hole nodes
than DSR in terms of throughput.
III. SIMULATION METHODOLOGY
OPNET modeler 14.5 is used to develop the
simulation and analysis for this paper. Six different
scenarios have been created in which 60 mobile
nodes have been kept in a campus network. Out of
those 60 mobile nodes, 15 nodes are made black hole
nodes or malicious nodes by changing some of their
parameters. All these nodes are configured mobile by
using profile configuration. Two different
applications file transfer protocol (FTP) for heavy
load and hypertext transfer protocol (HTTP) for
heavy browsing are being used to analyze the
performance. Simulation focuses on performance of
network with and without black hole attack by
changing the routing protocols. Three different
routing protocols have been employed on these six
scenarios. These routing protocols are Ad hoc on
demand routing protocol (AODV), Optimized link
state routing protocol (OLSR) and Dynamic source
routing protocol (DSR). Network throughput, delay,
and load are taken into account to perform simulation
using routing protocols.
3. Tarandeep Kaur, Amarvir Singh / International Journal of Engineering Research and
Applications (IJERA) ISSN: 2248-9622 www.ijera.com
Vol. 3, Issue 4, Jul-Aug 2013, pp.1324-1328
1326 | P a g e
Fig 2. Network model
We use the following metrics to evaluate the
protocols.
LOAD (BITS/SEC): Load represents the total load
(in bits/sec) submitted to wireless LAN layers by all
higher layers in all WLAN nodes of the network
THROUGHPUT: Throughput represents the total
number of bits (in bits/sec) forwarded from wireless
LAN layers to higher layers in all WLAN nodes of
the network.
DELAY (SEC): Delay represents the end to end
delay of all the packets received by the wireless LAN
MACs of all WLAN nodes in the network and
forwarded to the higher layer. This delay includes
medium access delay at the source MAC, reception
of all the fragments individually, and transfers of the
frames via AP, if access point functionality is
enabled.
3.1 SIMULATION RESULTS
Simulation is done for 600 seconds for each
scenario and overlaid statistics of these performance
metrics for each protocol have been obtained.
Table 1. Simulation Parameters
Initial topology Empty scenario
Size 10*10 km
Model family MANET
Network scale campus
Data rate 11 mbps
Speed 5m/s
Technology WLAN (AD HOC)
Nodes 60
Attacker nodes 15
Mobility model Random waypoint
Routing protocols AODV,OLSR, DSR
Operational mode 802.11b
Packet inter-arrival
time
Constant(0.03)
Packet size Uniform(140,160)
Trajectory Vector
Simulation time 600 seconds
The following graph depicts the nature of
each routing protocol by taking into account the
performance metrics with and without the attacker
node.
Fig.3 AODV without attacker nodes
Fig.4 AODV with attacker nodes
4. Tarandeep Kaur, Amarvir Singh / International Journal of Engineering Research and
Applications (IJERA) ISSN: 2248-9622 www.ijera.com
Vol. 3, Issue 4, Jul-Aug 2013, pp.1324-1328
1327 | P a g e
Fig.3 and fig. 4 shows the impact of black
hole attack on the network performance under AODV
routing protocol. In fig.3, the throughput is high
without attacker nodes than in fig.4 with attacker
nodes. This is because of few packets are being
forwarded and loss of data occurs. Because of the
packets being discarded by the attacker nodes, shows
an impact on throughput. When we compare the
throughput of both the scenarios, we find a greater
difference in throughput of both scenarios. All this
leads to lesser load on the network with attack. Load
which is 500,000 bits/sec without attack just remains
300,000 bits/sec with attack. This is because without
the presence of the attacker nodes, the network load
is high due to the proper routing of the packets to
their destinations, but with attacker nodes discarding
of the packets leads to the reduction in the network
load.
Fig.5 OLSR without attacker node
Fig.6 OLSR with attacker nodes
Fig.5 and fig.6 shows the impact of black
hole attack on the network performance under OLSR
routing protocol. As we compared the performance of
the network with and without attacker nodes under
OLSR routing protocol, the difference in the
throughput is negligible. Same is in the case of
network load; change in the network load with and
without attacker nodes is negligible.
Fig.7 DSR without attacker node
Fig. 8 DSR with attacker node
Fig.7 and fig.8 shows the impact of black hole
attack on the network performance under DSR
routing protocol. In Fig.7 green line depicts
throughput without attacker nodes which first
increases with a peak then remain constant for the
rest of the time whereas in fig.8 throughput with
attacker nodes keeps on increasing for the whole
time. Red line depicts load on the network which
slightly increases with the presence of attacker nodes.
IV. CONCLUSIONS
In this paper we analyze the impact of black
hole attack on network performance in terms of
throughput, delay and load under AODV, OLSR,
DSR routing protocols. Simulation results show that
when there are attacker nodes in the network it
5. Tarandeep Kaur, Amarvir Singh / International Journal of Engineering Research and
Applications (IJERA) ISSN: 2248-9622 www.ijera.com
Vol. 3, Issue 4, Jul-Aug 2013, pp.1324-1328
1328 | P a g e
decreases the overall performance of the network by
intercepting the packets being routed from the source
node to the destination node. The impact of attacker
nodes on the network highly disrupts the performance
which leads a greater data loss.
REFERENCES
Thesis:
[1] Irshad Ullah and Shoaib Ur Rehman,
“Analysis of Black Hole Attack on Mobile
Ad hoc Networks Using Different MANET
Routing Protocols” June 2010
Journal Papers:
[2] Mohammad Al-Shurman and Seong Moo
Yoo, “Black Hole Attack in Mobile Ad Hoc
Networks,” 42nd
Annual South East Regional
Conference
[3] Hongmei Deng, Wei Li, and Dharma P.
Agrawal, “Routing Security in Wireless Ad
Hoc Network,” IEEE Communications
Magzine, vol. 40, no. 10, October 2002.
[4] Hesiri Weerasinghe and Huirong Fu,
Member of IEEE, Preventing Cooperative
Black Hole Attacks in Mobile Adhoc
Network Simulation implementation and
Evaluation ,IJSEA,Vol2,No.3,July 2008.
[5] Dinesh Mishra, Yogendra Kumar Jain,
Sudhir Agrawal, “Behavior Analysis of
Malicious Node in the Different Routing
Algorithms in Mobile Ad Hoc Network
(MANET)” International Conference on
Advances in Computing, Control, and
Telecommunication Technologies, 2009.
[6] Sanjay Ramaswamy, Huirong Fu, Manohar
Sreekantaradhya, John Dixon, and Kendall
Nygard, “Prevention of Cooperative Black
Hole Attack in Wireless Ad Hoc Networks”
International Conference on Wireless
Networks, Las Vegas, Nevada, USA.
[7] K. Lakshmi, S.Manju Priya2
A.Jeevarathinam3 K.Rama4, K. Thilagam5
“Modified AODV Protocol against Black
hole Attacks in MANET” International
Journal of Engineering and Technology
Vol.2 (6), 2010.