Detection and Countermeasure of Packet Misrouting in Wireless Adhoc Networks

2019 ◽  
Vol 17 (9) ◽  
pp. 696-700
Author(s):  
D. Muruganandam ◽  
J. Martin Leo Manickam
Keyword(s):  
Network Performance ◽  
Malicious Node ◽  
Mobile Nodes ◽  
Malicious Nodes ◽  
Intermediate Node ◽  
Normal Node ◽  
Wireless Adhoc Networks ◽  
Set Up ◽  
Network Interfaces ◽  
Open Nature

A MANET is an infrastructure-less type network, which consists of number of mobile nodes connected through wireless network interfaces. The Communication among nodes is made successfully when the nodes dynamically set up route among one another. The open nature and infrastructureless type of such networks causes the attacker's interest to penetrate through the network and decrease the network performance. Thus Security becomes a major concern for protected communication between mobile nodes. Packet misrouting stops the packet from reaching the destination by a malicious intermediate node. But the malicious node makes the intuition to its neighbors that it has done the genuine packet forwarding action. Moreover the malicious node makes the neighbours to suspect the normal node as malicious one. The proposed work ensures the detection of malicious nodes and avoids suspecting the trustworthy.

scholarly journals Utilization of Energy Consumption Metric to Detect Black Hole Attacker in DSR Routing Protocol

2019 ◽  
Vol 8 (3) ◽  
pp. 6116-6120
Keyword(s):  
Network Performance ◽  
Dynamic Network ◽  
Reduction Ratio ◽  
Energy Reduction ◽  
Delivery Ratio ◽  
Malicious Node ◽  
Malicious Nodes ◽  
Mobile Adhoc Network ◽  
Normal Node ◽  
Dynamic Source

A Mobile Adhoc Network (MANET) is a self-organized system comprised of multiple mobile wireless nodes. They do not require the existing network infrastructure. Autonomous telescopes can change freely and inadvertently in a network that can establish a dynamic network temporarily, and these networks can often change their appearance. Due to the openness in network topology and the absence of centralized administration in management, MANET is vulnerable to attacks from malicious nodes. Therefore, security is a major issue in MANET, which drastically reduces network performance. Several trust parameters such as packet delivery ratio, packet dropping ratio, etc are used for detecting the malicious node attack in MANET. Among these, this paper uses the energy as the trust parameter for detecting the malicious node. The energy reduction ratio differs from the normal node and attacker node in MANET. Hence, the main aim of this paper is to find the Normal Energy Reduction Ratio (NERR) and Attacker Energy Reduction Ratio (AERR). These two values are used for differentiating the normal node and attacker node in MANET. For routing, this paper uses the Dynamic Source Routing (DSR) Protocol.

scholarly journals Smart detection and prevention procedure for DoS attack in MANET

2021 ◽  
pp. 1-5
Author(s):  
A. S. M. Muntaheen ◽  
Milton Chandro Bhowmick ◽  
Md. Raqibul Hasan Rumman ◽  
Nayeem Al-Tamzid Bhuiyan ◽  
Md. Taslim Mahmud Bhuyain ◽  
...  
Keyword(s):  
Ad Hoc Network ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Malicious Node ◽  
Specific Time ◽  
Mobile Nodes ◽  
Dos Attack ◽  
Malicious Nodes ◽  
Mobile Ad Hoc ◽  
Hoc Networks

A self-organized wireless communication short-lived network containing collection of mobile nodes is mobile ad hoc network (MANET). The mobile nodes communicate with each other by wireless radio links without the use of any pre-established fixed communication network infrastructure or centralized administration, such as base stations or access points, and with no human intervention. In addition, this network has potential applications in conference, disaster relief, and battlefield scenario, and have received important attention in current years. There is some security concern that increases fear of attacks on the mobile ad-hoc network. The mobility of the NODE in a MANET poses many security problems and vulnerable to different types of security attacks than conventional wired and wireless networks. The causes of these issues are due to their open medium, dynamic network topology, absence of central administration, distributed cooperation, constrained capability, and lack of clear line of defense. Without proper security, mobile hosts are easily captured, compromised, and attacked by malicious nodes. Malicious nodes behavior may deliberately disrupt the network so that the whole network will be suffering from packet losses. One of the major concerns in mobile ad-hoc networks is a traffic DoS attack in which the traffic is choked by the malicious node which denied network services for the user. Mobile ad-hoc networks must have a safe path for transmission and correspondence which is a serious testing and indispensable issue. So as to provide secure communication and transmission, the scientist worked explicitly on the security issues in versatile impromptu organizations and many secure directing conventions and security measures within the networks were proposed. The goal of the work is to study DoS attacks and how it can be detected in the network. Existing methodologies for finding a malicious node that causes traffic jamming is based on node’s retains value. The proposed approach finds a malicious node using reliability value determined by the broadcast reliability packet (RL Packet). In this approach at the initial level, every node has zero reliability value, specific time slice, and transmission starts with a packet termed as reliability packet, node who responded properly in specific time, increases its reliability value and those nodes who do not respond in a specific time decreases their reliability value and if it goes to less than zero then announced that it’s a malicious node. Reliability approach makes service availability and retransmission time.

scholarly journals Analysis of Performance Parameters of AODV in Presence of Malicious Nodes in MANET by Varying Nodes Density

2019 ◽  
Vol 8 (9) ◽  
pp. 1380-1382
Keyword(s):  
Ad Hoc Network ◽  
Network Performance ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Performance Metrics ◽  
Mobile Network ◽  
Malicious Node ◽  
Malicious Nodes ◽  
Network Nodes ◽  
Analysis Of Performance

Nodes are important aspect of Mobile network. Mobile ad-hoc network means any network that is made at the time of need. Ad-hoc network has its own place in networking. Mobility in network makes it more demandable. Nodes are the device that takes part in network or makes network. Nodes behavior describes network configuration. Genuine node insures you proper working of network with best results as throughput or packet ratio. Presence of malicious nodes differs in comparison to genuine node. Malicious node degrades output of network. Performance metrics noted degradation in their quality when malicious node encounters in network. Malicious nodes in different sets of node density affect the network in different way

Path Reconstruction and Effective Routing with Advanced Congestion Diversity in Wireless Adhoc Networks

2018 ◽  
Vol 6 (9) ◽  
pp. 125
Author(s):  
O. Srinivasa Rao ◽  
K. Madhuri
Keyword(s):  
Packet Loss ◽  
Network Performance ◽  
Ad Hoc ◽  
Detection Accuracy ◽  
Malicious Nodes ◽  
Packet Losses ◽  
Packet Dropping ◽  
Insider Attack ◽  
Wireless Adhoc Networks ◽  
Block Based

Link error and malicious packet dropping are two sources for packet losses in multi-hop wireless ad hoc network. In this paper, while observing a sequence of packet losses in the network, we are interested in determining whether the losses are caused by link errors only, or by the combined effect of link errors and malicious drop. We are especially interested in the insider-attack case, whereby malicious nodes that are part of the route exploit their knowledge of the communication context to selectively drop a small amount of packets critical to the network performance. Because the packet dropping rate in this case is comparable to the channel error rate, conventional algorithms that are based on detecting the packet loss rate cannot achieve satisfactory detection accuracy. To improve the detection accuracy, we propose to exploit the correlations between lost packets. Furthermore, to ensure truthful calculation of these correlations, we develop a homomorphic linear authenticator (HLA) based public auditing architecture that allows the detector to verify the truthfulness of the packet loss information reported by nodes. This construction is privacy preserving, collusion proof, and incurs low communication and storage overheads. To reduce the computation overhead of the baseline scheme, a packet-block based mechanism is also proposed, which allows one to trade detection accuracy for lower computation complexity. Through extensive simulations, we verify that the proposed mechanisms achieve significantly better detection accuracy than conventional methods such as a maximum-likelihood based detection.

scholarly journals Intrusion Detection in Manet Through Machine Learning Approach

2022 ◽  
Vol 11 (3) ◽  
pp. 1-6
Author(s):  
Dr. Sultanuddin SJ ◽  
◽  
Dr. Md. Ali Hussain ◽  
Keyword(s):  
Machine Learning ◽  
Ad Hoc Networks ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Machine Learning Techniques ◽  
Mobile Nodes ◽  
Malicious Nodes ◽  
Mobile Ad Hoc ◽  
Hoc Networks ◽  
Set Up

Mobile ad hoc networks (MANETs) have evolved into a leading multi-hop infrastructure less wireless communication technology where every node performs the function of a router. Ad- hoc networks have been spontaneously and specifically designed for the nodes to communicate with each other in locations where it is either complex or impractical to set up an infrastructure. The overwhelming truth is that with IoT emergence, the number of devices being connected every single second keeps increasing tremendously on account of factors like scalability, cost factor and scalability which are beneficial to several sectors like education, disaster management, healthcare, espionage etc., where the identification and allocation of resources as well as services is a major constraint. Nevertheless, this infrastructure with dynamic mobile nodes makes it more susceptible to diverse attack scenarios especially in critical circumstances like combat zone communications where security is inevitable and vulnerabilities in the MANET could be an ideal choice to breach the security. Therefore, it is crucial to select a robust and reliable system that could filter malicious activities and safeguard the network. Network topology and mobility constraints poses difficulty in identifying malicious nodes that can infuse false routes or packets could be lost due to certain attacks like black hole or worm hole. Hence our objective is to propose a security solution to above mentioned issue through ML based anomaly detection and which detects and isolates the attacks in MANETs. Most of the existing technologies detect the anomalies by utilizing static behavior; this may not prove effective as MANET portrays dynamic behavior. Machine learning in MANETs helps in constructing an analytical model for predicting security threats that could pose enormous challenges in future. Machine learning techniques through its statistical and logical methods offers MANETs the learning potential and encourages towards adaptation to different environments. The major objective of our study is to identify the intricate patterns and construct a secure mobile ad-hoc network by focusing on security aspects by identifying malicious nodes and mitigate attacks. Simulation-oriented results establish that the proposed technique has better PDR and EED in comparison to the other existing techniques.

scholarly journals Malicious Node Detection in Delay Tolerance Network

2021 ◽  
pp. 294-297
Author(s):  
Er. Ashu Garg ◽  
Sourav
Keyword(s):  
Network Performance ◽  
Ad Hoc ◽  
Malicious Node ◽  
Malicious Nodes ◽  
Switched Networks ◽  
Intermittent Connectivity ◽  
Partitioned Networks ◽  
Delay Tolerant ◽  
In Transit ◽  
Route Request

Delay tolerant networks (DTNs), such as sensor networks with scheduled intermittent connectivity, vehicular DTNs that disseminate location-dependent information, and pocket-switched networks that allow humans to communicate without network infrastructure, are highly partitioned networks that may suffer from frequent disconnectivity. In DTNs, the in-transit messages, also named bundles, can be sent over an existing link and buffered at the next hop until the next link in the path appears. This message propagation process is usually referred to as the “store-carry-and-forward” strategy, and the routing is decided in an “opportunistic” fashion. We aim to evaluate the added effect of the presence of malicious nodes on ad hoc network performance, and determine appropriate measures to detect malicious nodes. A malicious node advertising itself as having a valid route to the destination. With this intension the attacker consumes or intercepts the packet without any forwarding. An attacker can completely modify the packet and generate fake information, this cause the network traffic diverted or dropped. Let H be a malicious node. When H receives a Route Request, it sends back a Route Reply immediately, which constructs the data and can be transmitted by itself with the shortest path. So S receives Route Reply and it is replaced by H->S. then H receives all the data from S. In this research we propose a new assesment based scheme for detection of Malicious Nodes in DTN. And examine different strategies for prevention to malicious nodes as well as Compare out come proposed scheme with the earliest established schemes.

scholarly journals AODV-UI with Malicious Node Detection and Removal for Public MANET

2012 ◽  
Vol 8 (4) ◽  
pp. 110 ◽  
Author(s):  
Ruki Harwahyu ◽  
Boma A. Adhi ◽  
Harris Simaremare ◽  
Abdusy Syarif ◽  
Riri F. Sari ◽  
...  
Keyword(s):  
Routing Protocol ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Malicious Node ◽  
Mobile Nodes ◽  
Malicious Nodes ◽  
Worst Case ◽  
Network Connection ◽  
Traffic Rate ◽  
Fixed Network

A node in Mobile Ad-hoc Network (MANET) solely depends on neighbor nodes for its connectivity to the outer networks. It is completely different with fixed network connection where a central infrastructure is providing connectivity to the outside network for all mobile nodes there. This kind of situation makes MANET easier to build rather than fixed network with certain infrastructure. However, this nature of MANET makes it very vulnerable to various attacks, especially by nodes within the MANET that is called malicious nodes. This paper provides a preliminary result for MANET security enhancement based on AODV-UI routing protocol. In this work we implement an algorithm to detect and remove malicious nodes in AODV-UI routing protocol. We evaluate our work in different scenarios by varying the number of nodes, the number of malicious node, the sending rate of the node in concern, and the type of the attack i.e. route poisoning, black hole, packet spoofing. Our experiment shows that on average, an attack can be completely removed within 0.48 seconds in the worst case, with the traffic rate of 100 kbps, and 0.04 seconds in the best case, with the sending rate of 10 kbps.

A SEARCHER VERSUS HIDER GAME WITH INCOMPLETE INFORMATION ABOUT SEARCH RESOURCES

2013 ◽  
Vol 30 (02) ◽  
pp. 1250052 ◽  
Author(s):  
ANDREY GARNAEV ◽  
ROBBERT FOKKINK
Keyword(s):  
Wireless Networks ◽  
Network Performance ◽  
Partial Information ◽  
Network Connectivity ◽  
Noncooperative Game ◽  
Malicious Node ◽  
Unique Equilibrium ◽  
Network Operator ◽  
Malicious Nodes ◽  
Special Forces

We introduce a search game in which a hider has partial information about a searcher's resource. The hider can be a terrorist trying to hide and the searcher can be special forces trying to catch him. The terrorist does not know the number of forces involved in the search but just its distribution. We model this situation by a noncooperative game. In a related setup, which is motivated by wireless networks applications, the terrorist inserts a malicious node in a network, reducing network connectivity and thereby undermining its security. Meanwhile, the network operator applies appropriate measures to detect malicious nodes and maintain network performance. We investigate how the information about the total search resources that are available to the hider can influence the behavior of both players. For the case, where the distribution has two mass points, we prove that the game has a unique equilibrium and moreover, we describe explicitly this equilibrium, its structure and some other properties.

scholarly journals A Simulated Novel Approach for Identifying Black Hole Attack in AODV based MANET

2005 ◽  
Vol 4 (2) ◽  
pp. 489-494
Author(s):  
Kanika Lakhani
Keyword(s):  
Black Hole ◽  
Network Performance ◽  
Ad Hoc ◽  
Denial Of Service ◽  
Malicious Node ◽  
Mobile Nodes ◽  
Black Hole Attack ◽  
Denial Of Service Attack ◽  
Novel Approach ◽  
Hoc Networks

Security is an essential requirement in mobile ad hoc networks to provide protected communication between mobile nodes. Due to unique characteristics of MANETS, it creates a number of consequential challenges to its security design. To overcome the challenges, there is a need to build a powerful, multifeatured security solution that achieves both broad protection and desirable network performance. MANETs are vulnerable to various attacks, blackhole, is one of the possible attacks. Black hole is a type of routing attack where a malicious node advertise itself as having the shortest path to all nodes in the environment by sending fake route reply. By doing this, the malicious node can deprive the traffic from the source node and can be implemented as a denial-of-service attack where the packets can be dropped later on. In this paper, a solution is proposed to identify the malicious node and implanting security against the threats of blackhole by notifying other nodes in the network of the incident. The simulation of the proposed algorithm demonstrates that the solution prevents the nodes in the network from blackhole attack and also improves the overall performance of AODV in the presence of black hole attack.

Security based on Received Signal Strength in Localization for Underwater Sensor Networks

2016 ◽  
Vol 1 (2) ◽  
pp. 1-7
Author(s):  
Karamjeet Kaur ◽  
Gianetan Singh Sekhon
Keyword(s):  
Sensor Networks ◽  
Threshold Value ◽  
Critical Issue ◽  
Sensor Nodes ◽  
Underwater Sensor Networks ◽  
Research Subjects ◽  
Malicious Nodes ◽  
Intermediate Node ◽  
End To End Delay ◽  
End To End

Underwater sensor networks are envisioned to enable a broad category of underwater applications such as pollution tracking, offshore exploration, and oil spilling. Such applications require precise location information as otherwise the sensed data might be meaningless. On the other hand, security critical issue as underwater sensor networks are typically deployed in harsh environments. Localization is one of the latest research subjects in UWSNs since many useful applying UWSNs, e.g., event detecting. Now day’s large number of localization methods arrived for UWSNs. However, few of them take place stability or security criteria. In purposed work taking up localization in underwater such that various wireless sensor nodes get localize to each other. RSS based localization technique used remove malicious nodes from the communication intermediate node list based on RSS threshold value. Purposed algorithm improves more throughput and less end to end delay without degrading energy dissipation at each node. The simulation is conducted in MATLAB and it suggests optimal result as comparison of end to end delay with and without malicious node.

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