scholarly journals Detection of Black Hole Attack Using Honeypot Agent-Based Scheme with Deep Learning Technique on MANET

2021 ◽  
Vol 26 (6) ◽  
pp. 549-557
Author(s):  
Venkatasubramanian Srinivasan
Keyword(s):  
Black Hole ◽  
Intelligent Agents ◽  
Ad Hoc ◽  
Short Term Memory ◽  
Detection Methods ◽  
Delivery Ratio ◽  
Mobile Nodes ◽  
Black Hole Attack ◽  
Detection Scheme ◽  
Agent Based

Mobile Ad-Hoc Networks (MANETs) due to their reconfigurable nature are being integrated into new and futuristic knowledge such as Internet of Things (IoT), cloud, reconfigurable networks, etc. To attain such credibility of integration, the routing protocols associated with these mobile nodes have to connect, perform and facilitate routing that offers a high level of security and resistance to all possible threats and security issues that may emanate in the network. One of the solutions used to maintain network security is intrusion detection systems (IDSs). This article primarily emphasis on the network's susceptibility to a suction assault known as a black hole attack. The investigations about the employment of intelligent agents called Honeypot Agent-based detection scheme (HPAS) with Long-Short Term Memory (LSTM) in identifying such assaults. Hence, the proposed method is named HPAS-LSTM, where honeypots are roaming virtual software managers that create Route Request (RREQ) packets to attract and entrap black hole attackers. Extensive model results utilizing the ns-2 simulator are used to demonstrate the presence of the suggested detection technique. The simulation outcomes demonstrate that the suggested technique outperforms current black hole detection methods in terms of throughput (TH), packet loss rate (PLR), packet delivery ratio (PDR), and total network delay (TND).

scholarly journals ANALYSIS OF BLACK HOLE ATTACK DURING ROUTE DISCOVERY PHASE OF AODV IN MANET

2020 ◽  
Vol 4 (11) ◽  
pp. 75-80
Author(s):  
Lalit Tripathi ◽  
Kanojia Sindhuben
Keyword(s):  
Black Hole ◽  
Ad Hoc ◽  
Delivery Ratio ◽  
Route Discovery ◽  
Mobile Nodes ◽  
Black Hole Attack ◽  
Discovery Phase ◽  
Hoc Networks ◽  
Result Analysis ◽  
The Impact

MANET (Mobile ad hoc networks) is a collection of wireless mobile nodes dynamically forming an infrastructure less network. Several routing protocols are designed for routing of packets in MANET. One of them is AODV (Ad hoc on demand Distance Vector) protocol whose performance is better for higher mobile nodes. It is more vulnerable to black hole attack by the malicious node. Black hole attack is a network layer attack in MANET that tries to hamper the routing process. During route discovery phase it sends false reply to the nodes and dropped data packets. In this paper, first we have implemented black hole attack in AODV and then analyzed the impact of black hole attack under deferent metrics like throughput, packet delivery ratio and packet loss. Simulator NS-2.35 is used for implementation and result analysis.

Modification in Aodv Protocol for Prevention from Black Hole Attack in Manets

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Divya Singh ◽  
Sumit Jalan
Keyword(s):  
Black Hole ◽  
Ad Hoc Network ◽  
Ad Hoc ◽  
Source Node ◽  
Destination Node ◽  
Mobile Nodes ◽  
Black Hole Attack ◽  
Extra Effort ◽  
Adjacent Node ◽  
Aodv Protocol

In Wireless ad-hoc network, the infrastructure of MANET's differ to each other due to the topology of MANETs changes time to time because the mobile nodes of MANET's are movable. In MANETs protocols, if any node wants to communicate with another node then they establish a path with the help of adjacent node due to this the security in MANETs protocol is vulnerable. Thus, there are various types of attacks are try to break the security of MANETs protocol. AODV is a popular and most usable protocol of MANET and Black Hole Attack is a severe attack that affects the functionality of AODV protocol. The malicious node treat to the source node which have freshest and nearest path for the destination. In this work, my prime focus specifically is on follow the security against Black Hole Attack. I proposed AODV protocol capture some extra effort for source node and destination node which based on best possible effort (heuristic) with appropriate simulation using ns-2.35.

Secure Route Discovery in DSR against Black Hole Attacks in Mobile Ad Hoc Networks

2012 ◽  
pp. 125-143
Author(s):  
P. Subathra ◽  
S. Sivagurunathan
Keyword(s):  
Black Hole ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
False Negative ◽  
Delivery Ratio ◽  
Black Hole Attack ◽  
Dynamic Source ◽  
Mobile Ad Hoc ◽  
And Performance ◽  
Hoc Networks

A Mobile Ad hoc Network (MANET) is a collection of wireless nodes communicating over multi-hop paths without any infrastructure. Nodes must cooperate to provide necessary network functionalities. The security in routing protocols like Dynamic Source Routing (DSR) can be compromised by a “Black Hole” attack. Here, a malicious node claims to have the shortest path to the destination and attracts all traffic and drops them, leading to performance degradation. The situation becomes worse when two or more nodes cooperate and perform the “Cooperative black hole” attack. This chapter proposes a solution based on probing to identify and prevent such attacks. The proposed solution discovers a secure route between the source and destination by identifying and isolating the attacking nodes. Simulation results show that the protocol provides better security and performance in terms of detection time, packet delivery ratio, and false negative probability in comparison with trust and probe based schemes.

scholarly journals Securing cluster based routing against cooperative black hole attack in mobile ad hoc network

2018 ◽  
Vol 7 (1.9) ◽  
pp. 6 ◽  
Author(s):  
Pandi Selvam Raman ◽  
Shankar K ◽  
Ilayaraja M
Keyword(s):  
Black Hole ◽  
Routing Protocol ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Optimal Path ◽  
Destination Node ◽  
Delivery Ratio ◽  
Black Hole Attack ◽  
Mobile Ad Hoc ◽  
Cluster Based Routing

Mobile ad hoc networks (MANETs) are wireless infrastructure-less network consisting collection of autonomous nodes that communicate with each other in decentralized manner. Security remains major challenge due to its some unique characteristics like open medium, mobility and hence topology changes. Therefore, routing protocol for MANETs is much vulnerable to attacks. Black Hole is a type of attack, where malicious node falsely advertises itself having the shortest or optimal path to the destination node. This attack is more dangerous while a group of nodes are cooperating with each other.The objective of this paper is to design cluster based routing protocol and prevent it from the black hole attack. The simulation results show improvement in packet delivery ratio and control overhead.

A Solution for Detecting Black Hole Attack Using Improved DRI in MANET

2015 ◽  
Vol 6 (1) ◽  
Author(s):  
Atifa Parveen ◽  
Shish Ahmad ◽  
Jameel ◽  
Ahmad
Keyword(s):  
Black Hole ◽  
Network Performance ◽  
Ad Hoc ◽  
Security Threats ◽  
Mobile Nodes ◽  
Black Hole Attack ◽  
Self Organized ◽  
Aodv Protocol ◽  
Autonomous Network ◽  
The Common

Ad hoc Network is a self organized autonomous network that consists of mobile nodes which communicate with each other over wireless links. One of the common attacks in MANETs is the Black hole Attack, in which malicious node falsely claiming it to have the fresh and shortest path to the destination and then drops all the receiving packets. The black hole attack is one of the well-known security threats in wireless mobile adhoc networks. We proposed a mechanism to mitigate single black hole attack to discover a safe route to the destination by avoiding attacks. In this paper we proposed an approach for better analysis and improve security of AODV, which is one of the popular routing protocols for MANET. Our scheme is based on AODV protocol which is improved by deploying improved DRI table with additional check bit. The Simulation on NS2 is carried out and the proposed scheme has produced results that demonstrate the effectiveness of the mechanism in detection and elimination of the attack and improve network performance by reducing the packet dropping ratio in network. In this paper, We not only classify these proposals into single black hole attack but also analyze the categories of these solutions.

scholarly journals Host based Detection and Prevention of Black Hole attacks by AODV-ICCSO Algorithm for security in MANETs

2021 ◽  
Author(s):  
Sathyaraj P ◽  
Rukmani Devi D ◽  
K Kannan
Keyword(s):  
Black Hole ◽  
Performance Measures ◽  
Ad Hoc ◽  
Packet Delivery Ratio ◽  
Delivery Ratio ◽  
Black Hole Attack ◽  
Swarm Optimization ◽  
Packet Delivery ◽  
Node Routing ◽  
Chicken Swarm Optimization

Abstract Background: Mobile Ad-hoc Networks (i.e.) MANETs are gaining rapid fame in recent days and are considered as very significant because of their easier implementation and growing property. Various types of attacks are prone to damage the networks due to the elastic property possessed by the network. And among different categories of attacks that can affect MANETs, black hole attack is considered as the commonly occurring one within a MANET. Chicken Swarm Optimization (CSO) algorithm is one among the technique used for the detection of black hole attacks occurring in the MANETs. But the CSO algorithm possesses some disadvantages and necessity rises for overcoming the weakness in the CSO algorithm. Objective: Therefore, in this research paper, to address the black hole attack in MANET, an Improved Crossover Chicken Swarm Optimization (ICCSO) algorithm and the concept of Enhanced Partially-Mapped Crossover operation proposed and the best fitness values obtained. Methods: In ICCSO algorithm, parameter initialization is carried out in step 1 of the algorithm, where the attacked nodes and non-attack nodes are created separately with the aid of parameters like PDR (i.e.) Packet Delivery Ratio and RSSI (i.e.) Received Signal Strength Indicator. Further, If the node is affected by any attack, then the nodes are discarded and the data is transmitted through the non-attacked node. Routing is carried by a protocol of AODV.Results: The effectiveness of the algorithm proposed in the work is evaluated using various performance measures like packet delivery ratio (PDR), end-to-end delay (EED) and throughput. The performance measures are compared with a different state of the art routing protocols and it can be inferred that the proposed methodology comes up with improved results.

scholarly journals A Novel Hybrid and Secure Clustering Black hole Attacks Mitigation Technique in Wireless LAN

2018 ◽  
Vol 7 (4.7) ◽  
pp. 389
Author(s):  
Er. Harmeet Singh ◽  
Dr. Vijay Dhir
Keyword(s):  
Black Hole ◽  
Packet Loss ◽  
Wireless Lan ◽  
Dynamic Network ◽  
Delivery Ratio ◽  
Mobile Nodes ◽  
Black Hole Attack ◽  
Clustering Approach ◽  
Attack Mitigation ◽  
Mitigation Technique

Wireless LAN is a dynamic network with large number of mobile nodes. As the traffic increases over the wireless, it will lead to number of problems like congestion and packet loss. This congestion and packet loss problems occurs due to the attacks in wireless LAN.Out of the various attacks black hole attack is most dangerous attack which drops all of the packets received from the source node and which act as a black hole in the universe. In this paper we are providing solution against this attack. We propose a Novel Hybrid and Secure Clustering Black hole Attack Mitigation Technique in Wireless LAN. This technique firstly detects the black hole attack by using threshold values against different parameters, after this clustering approach is used for secure path from source to destination by reducing overhead in the network. Most of existing mechanisms are not as efficient because by isolating black hole attack overhead is increased. A HSBM approach has remarkable advantage over these existing techniques. We simulate the proposed technique by using NS2 simulator and proved that our technique effectively detects the black hole attack in terms of throughput, packet loss, end to end packet delivery ratio, delay.  

Detection and Prevention of Single and Cooperative Black Hole Attacks in Mobile Ad Hoc Networks

2010 ◽  
Vol 6 (1) ◽  
pp. 38-57 ◽  
Author(s):  
P. Subathra ◽  
S. Sivagurunathan ◽  
N. Ramaraj
Keyword(s):  
Black Hole ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
False Negative ◽  
Base Stations ◽  
Delivery Ratio ◽  
Black Hole Attack ◽  
Mobile Ad Hoc ◽  
And Performance ◽  
Hoc Networks

A Mobile Ad hoc Network (MANET) is a collection of wireless computers (nodes) communicating over multi-hop paths, without infrastructures such as base stations and access points. Nodes must cooperate to provide necessary network functionalities. The Dynamic Source Routing (DSR) protocol is a principal routing protocol in MANET, where security can be compromised by a “Black Hole” attack. In this attack, a malicious node claims to have the shortest path to the destination and attracts all traffic and drops all packets sent for forwarding, leading to performance degradation in the network. The situation becomes even more severe when two or more nodes cooperate and perform an attack called the “Cooperative Black Hole” attack. This article proposes a solution based on probing to identify and prevent such attacks. The proposed solution discovers a secure route between the source and destination by identifying and isolating both single and cooperative black holes, making the MANET resistant against such attacks. Simulation results show that the protocol provides better security and performance in terms of detection time, packet delivery ratio and false negative probability in comparison with trust and probe based schemes.

scholarly journals A Biogeography-Based Optimization (BBO) With AOMDV for Mitigating Black Hole Attacks

2020 ◽  
Vol 8 (4S5) ◽  
pp. 243-249
Keyword(s):  
Black Hole ◽  
Ad Hoc ◽  
Research Area ◽  
Mobile Nodes ◽  
Black Hole Attack ◽  
Distance Vector ◽  
Trust Measure ◽  
Hoc Networks ◽  
Low Dimensional ◽  
Selection Of

The availability of smaller, cheaper and a lot more powerful mobile devices has made the Mobile Ad Hoc Networks (MANETs) emerge as a fast-growing research area. A Black Hole Attack can harm the mobile nodes by giving false replies to its source which can have the path that is the shortest to the destination without it checking the routing table. The primary aspect relaying the strategy of the trust route was the generation of a route by the selection of nodes that have high trust; thus, the nodes having the maximum trust measure with a better probability of routing success. One of the recently proposed metaheuristic that is applied successfully to various problems of optimization owing to its efficiency and simplicity is the Biogeography-based optimization (BBO). The BBO generally performs well for the problems of low-dimensional optimization but the performance keeps deteriorating rapidly for high-dimensional problems. In this work, proposed a BBO – Ad-hoc on Demand Multipath Distance Vector (AOMDV) method to mitigate black hole attack.

scholarly journals Countering of Black Hole Attack on Manet with AODV Protocol

2021 ◽  
Vol 9 (12) ◽  
pp. 1324-1334
Author(s):  
Gurwinder Singh
Keyword(s):  
Black Hole ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Research Performance ◽  
Efficient Solutions ◽  
Delivery Ratio ◽  
Black Hole Attack ◽  
Aodv Protocol ◽  
Routing Methods ◽  
Route Request

Abstract: Security in mobile ad-hoc network (MANET) is the most serious issue impacting performance of network. In general, routing methods is one of the complicated and exciting analysis places. In black hole attack, a harmful node uses its routing technique to be able to promote itself for having the quickest direction to the place node or to the bundle it wants to identify. In this research, performance of one of the most efficient solutions for preventing single black hole attack in MANET using AODV routing protocol will be investigated in terms of packet delivery ratio, packet loss percentage, average end-to-end delay, and route request overhead. This chapter describes the introduction, background of the study, research objectives and questions, the scope of the study and its primary objectives.

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