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2021-08-02
Terai, Takeru, Yoshida, Masami, Ramonet, Alberto Gallegos, Noguchi, Taku.  2020.  Blackhole Attack Cooperative Prevention Method in MANETs. 2020 Eighth International Symposium on Computing and Networking Workshops (CANDARW). :60–66.
Blackhole (BH) attacks are one of the most serious threats in mobile ad-hoc networks. A BH is a security attack in which a malicious node absorbs data packets and sends fake routing information to neighboring nodes. BH attacks are widely studied. However, existing defense methods wrongfully assume that BH attacks cannot overcome the most common defense approaches. A new wave of BH attacks is known as smart BH attacks. In this study, we used a highly aggressive type of BH attack that can predict sequence numbers to overcome traditional detection methods that set a threshold to sequence numbers. To protect the network from this type of BH attack, we propose a detection-and-prevention method that uses local information shared with neighboring nodes. Our experiments show that the proposed method successfully detects and contains even smart BH threats. Consequently, the attack success rate decreases.
S, Kanthimathi, Prathuri, Jhansi Rani.  2020.  Classification of Misbehaving nodes in MANETS using Machine Learning Techniques. 2020 2nd PhD Colloquium on Ethically Driven Innovation and Technology for Society (PhD EDITS). :1–2.
Classification of Misbehaving Nodes in wireless mobile adhoc networks (MANET) by applying machine learning techniques is an attempt to enhance security by detecting the presence of malicious nodes. MANETs are prone to many security vulnerabilities due to its significant features. The paper compares two machine learning techniques namely Support Vector Machine (SVM) and Back Propagation Neural Network (BPNN) and finds out the best technique to detect the misbehaving nodes. This paper is simulated with an on-demand routing protocol in NS2.35 and the results can be compared using parameters like packet Delivery Ratio (PDR), End-To-End delay, Average Throughput.
Liu, Gao, Dong, Huidong, Yan, Zheng.  2020.  B4SDC: A Blockchain System for Security Data Collection in MANETs. ICC 2020 - 2020 IEEE International Conference on Communications (ICC). :1–6.
Security-related data collection is an essential part for attack detection and security measurement in Mobile Ad Hoc Networks (MANETs). Due to no fixed infrastructure of MANETs, a detection node playing as a collector should discover available routes to a collection node for data collection. Notably, route discovery suffers from many attacks (e.g., wormhole attack), thus the detection node should also collect securityrelated data during route discovery and analyze these data for determining reliable routes. However, few literatures provide incentives for security-related data collection in MANETs, and thus the detection node might not collect sufficient data, which greatly impacts the accuracy of attack detection and security measurement. In this paper, we propose B4SDC, a blockchain system for security-related data collection in MANETs. Through controlling the scale of RREQ forwarding in route discovery, the collector can constrain its payment and simultaneously make each forwarder of control information (namely RREQs and RREPs) obtain rewards as much as possible to ensure fairness. At the same time, B4SDC avoids collusion attacks with cooperative receipt reporting, and spoofing attacks by adopting a secure digital signature. Based on a novel Proof-of-Stake consensus mechanism by accumulating stakes through message forwarding, B4SDC not only provides incentives for all participating nodes, but also avoids forking and ensures high efficiency and real decentralization at the same time. We analyze B4SDC in terms of incentives and security, and evaluate its performance through simulations. The thorough analysis and experimental results show the efficacy and effectiveness of B4SDC.
2021-07-07
Behrens, Hans Walter, Candan, K. Selçuk.  2020.  Practical Security for Cooperative Ad Hoc Systems. 2020 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops). :1–2.
Existing consumer devices represent the most pervasive computational platform available, but their inherently decentralized nature poses significant challenges for distributed computing adoption. In particular, device owners must willingly cooperate in collective deployments even while others may intentionally work to maliciously disrupt that cooperation. Public, cooperative systems benefit from low barriers to entry improving scalability and adoption, but simultaneously increase risk exposure to adversarial threats via promiscuous participant adoption. In this work, I aim to facilitate widespread adoption of cooperative systems by discussing the unique security and operational challenges of these systems, and highlighting several novel approaches that mitigate these disadvantages.
2021-03-29
Bodhe, A., Sangale, A..  2020.  Network Parameter Analysis; ad hoc WSN for Security Protocol with Fuzzy Logic. 2020 Second International Conference on Inventive Research in Computing Applications (ICIRCA). :960—963.

The wireless communication has become very vast, important and easy to access nowadays because of less cost associated and easily available mobile devices. It creates a potential threat for the community while accessing some secure information like banking passwords on the unsecured network. This proposed research work expose such a potential threat such as Rogue Access Point (RAP) detection using soft computing prediction tool. Fuzzy logic is used to implement the proposed model to identify the presence of RAP existence in the network.

2021-03-15
Akter, S., Rahman, M. S., Mansoor, N..  2020.  An Efficient Routing Protocol for Secured Communication in Cognitive Radio Sensor Networks. 2020 IEEE Region 10 Symposium (TENSYMP). :1713–1716.
This paper introduces an efficient reactive routing protocol considering the mobility and the reliability of a node in Cognitive Radio Sensor Networks (CRSNs). The proposed protocol accommodates the dynamic behavior of the spectrum availability and selects a stable transmission path from a source node to the destination. Outlined as a weighted graph problem, the proposed protocol measures the weight for an edge the measuring the mobility patterns of the nodes and channel availability. Furthermore, the mobility pattern of a node is defined in the proposed routing protocol from the viewpoint of distance, speed, direction, and node's reliability. Besides, the spectrum awareness in the proposed protocol is measured over the number of shared common channels and the channel quality. It is anticipated that the proposed protocol shows efficient routing performance by selecting stable and secured paths from source to destination. Simulation is carried out to assess the performance of the protocol where it is witnessed that the proposed routing protocol outperforms existing ones.
2021-03-09
Sharma, K., Bhadauria, S..  2020.  Detection and Prevention of Black Hole Attack in SUPERMAN. 2020 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS). :1–6.
MANETs are wireless networks, providing properties such as self-configuration, mobility, and flexibility to the network, which make them a popular and widely used technique. As the usage and popularity of the networks increases, security becomes the most important factor to be concerned. For the sake of security, several protocols and methodologies have been developed for the networks. Along with the increase in security mechanisms, the number of attacks and attackers also increases and hence the threat to the network and secure communication within it increases as well. Some of the attacks have been resolved by the proposed methodologies but some are still a severe threat to the framework, one such attack is Black Hole Attack. The proposed work integrates the SUPERMAN (Security Using Pre-Existing Routing for Mobile Ad-hoc Networks) framework with appropriate methodology to detect and prevent the network from the Black Hole Attack. The mechanism is based on the AODV (Ad-hoc On-demand Distance Vector) routing protocol. In the methodology, the source node uses two network routes, from the source to the destination, one for sending the data packet and another for observing the intermediate nodes of the initial route. If any node is found to be a Black Hole node, then the route is dropped and the node is added to the Black Hole list and a new route to send the data packet to the destination is discovered.
Oakley, I..  2020.  Solutions to Black Hole Attacks in MANETs. 2020 12th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP). :1–6.
Self-organising networks, such as mobile ad-hoc networks (MANETs), are growing more and more in importance each day. However, due to their nature and constraints MANETs are vulnerable to a wide array of attacks, such as black hole attacks. Furthermore, there are numerous routing protocols in use in MANETs, and what works for one might not for another. In this paper, we present a review of previous surveys of black hole attack solutions, followed by a collation of recently published papers categorised by original routing protocol and evaluated on a set of common metrics. Finally, we suggest areas for further research.
2021-01-20
Zarazaga, P. P., Bäckström, T., Sigg, S..  2020.  Acoustic Fingerprints for Access Management in Ad-Hoc Sensor Networks. IEEE Access. 8:166083—166094.

Voice user interfaces can offer intuitive interaction with our devices, but the usability and audio quality could be further improved if multiple devices could collaborate to provide a distributed voice user interface. To ensure that users' voices are not shared with unauthorized devices, it is however necessary to design an access management system that adapts to the users' needs. Prior work has demonstrated that a combination of audio fingerprinting and fuzzy cryptography yields a robust pairing of devices without sharing the information that they record. However, the robustness of these systems is partially based on the extensive duration of the recordings that are required to obtain the fingerprint. This paper analyzes methods for robust generation of acoustic fingerprints in short periods of time to enable the responsive pairing of devices according to changes in the acoustic scenery and can be integrated into other typical speech processing tools.

2020-12-28
Sharma, V., Renu, Shree, T..  2020.  An adaptive approach for Detecting Blackhole using TCP Analysis in MANETs. 2nd International Conference on Data, Engineering and Applications (IDEA). :1—5.

From recent few years, need of information security is realized by society amd researchers specially in multi-path, unstructured networks as Mobile Ad-hoc Network. Devices connected in such network are self-configuring and small in size and can communicate in infra less environment. Architecture is very much dynamic and absence of central controlling authority puts challenges to the network by making more vulnerable for various threats and attacks in order to exploit the function of the network. The paper proposes, TCP analysis against very popular attack i.e. blackhole attack. Under different circumstance, reliable transport layer protocol TCP is analyzed for the effects of the attack on adhoc network. Performance has been measured using metrics of average throughput, normalized routing load and end to end delay and conclusions have been drawn based on that.

Temurnikar, A., Verma, P., Choudhary, J..  2020.  Securing Vehicular Adhoc Network against Malicious Vehicles using Advanced Clustering Technique. 2nd International Conference on Data, Engineering and Applications (IDEA). :1—9.

VANET is one of most emerging and unique topics among the scientist and researcher. Due to its mobility, high dynamic nature and frequently changing topology not predictable, mobility attracts too much to researchers academic and industry person. In this paper, characteristics of VANET ate discussed along with its architecture, proposed work and its ends simulation with results. There are many nodes in VANET and to avoid the load on every node, clustering is applied in VANET. VANET possess the high dynamic network having continuous changing in the topology. For stability of network, a good clustering algorithm is required for enhancing the network productivity. In proposed work, a novel approach has been proposed to make cluster in VANET network and detect malicious node of network for security network.

Hussain, M. S., Khan, K. U. R..  2020.  Network-based Anomaly Intrusion Detection System in MANETS. 2020 Fourth International Conference on Inventive Systems and Control (ICISC). :881—886.

In the communication model of wired and wireless Adhoc networks, the most needed requirement is the integration of security. Mobile Adhoc networks are more aroused with the attacks compared to the wired environment. Subsequently, the characteristics of Mobile Adhoc networks are also influenced by the vulnerability. The pre-existing unfolding solutions are been obtained for infrastructure-less networks. However, these solutions are not always necessarily suitable for wireless networks. Further, the framework of wireless Adhoc networks has uncommon vulnerabilities and due to this behavior it is not protected by the same solutions, therefore the detection mechanism of intrusion is combinedly used to protect the Manets. Several intrusion detection techniques that have been developed for a fixed wired network cannot be applied in this new environment. Furthermore, The issue of intensity in terms of energy is of a major kind due to which the life of the working battery is very limited. The objective this research work is to detect the Anomalous behavior of nodes in Manet's and Experimental analysis is done by making use of Network Simulator-2 to do the comparative analysis for the existing algorithm, we enhanced the previous algorithm in order to improve the Energy efficiency and results shown the improvement of energy of battery life and Throughput is checked with respect to simulation of test case analysis. In this paper, the proposed algorithm is compared with the existing approach.

Khatod, V., Manolova, A..  2020.  Effects of Man in the Middle (MITM) Attack on Bit Error Rate of Bluetooth System. 2020 Joint International Conference on Digital Arts, Media and Technology with ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering (ECTI DAMT NCON). :153—157.
The ad-hoc network formed by Bluetooth works on radio frequency links. The security aspect of Bluetooth has to be handled more carefully. The radio frequency waves have a characteristic that the waves can pierce the obstructions in the communication path, get rid of the requirement of line of sight between the communicating devices. We propose a software model of man-in-the-middle attack along with unauthorized and authorized transmitter and receiver. Advanced White Gaussian Noise channel is simulated in the designed architecture. The transmitter uses Gaussian Frequency Shift Keying (GFSK) modulation like in Bluetooth. The receiver uses GFSK demodulation. In order to validate the performance of the designed system, bit error rate (BER) measurements are taken with respect to different time intervals. We found that BER drops roughly 18% if hopping duration of 150 seconds is chosen. We propose that a Bluetooth system with hopping rate of 0.006 Hz is used instead of 10Hz.
Ditton, S., Tekeoglu, A., Bekiroglu, K., Srinivasan, S..  2020.  A Proof of Concept Denial of Service Attack Against Bluetooth IoT Devices. 2020 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops). :1—6.
Bluetooth technologies have widespread applications in personal area networks, device-to-device communications and forming ad hoc networks. Studying Bluetooth devices security is a challenging task as they lack support for monitor mode available with other wireless networks (e.g. 802.11 WiFi). In addition, the frequency-hoping spread spectrum technique used in its operation necessitates special hardware and software to study its operation. This investigation examines methods for analyzing Bluetooth devices' security and presents a proof-of-concept DoS attack on the Link Manager Protocol (LMP) layer using the InternalBlue framework. Through this study, we demonstrate a method to study Bluetooth device security using existing tools without requiring specialized hardware. Consequently, the methods proposed in the paper can be used to study Bluetooth security in many applications.
2020-12-14
Pandey, S., Singh, V..  2020.  Blackhole Attack Detection Using Machine Learning Approach on MANET. 2020 International Conference on Electronics and Sustainable Communication Systems (ICESC). :797–802.

Mobile Ad-hoc Network (MANET) consists of different configurations, where it deals with the dynamic nature of its creation and also it is a self-configurable type of a network. The primary task in this type of networks is to develop a mechanism for routing that gives a high QoS parameter because of the nature of ad-hoc network. The Ad-hoc-on-Demand Distance Vector (AODV) used here is the on-demand routing mechanism for the computation of the trust. The proposed approach uses the Artificial neural network (ANN) and the Support Vector Machine (SVM) for the discovery of the black hole attacks in the network. The results are carried out between the black hole AODV and the security mechanism provided by us as the Secure AODV (SAODV). The results were tested on different number of nodes, at last, it has been experimented for 100 nodes which provide an improvement in energy consumption of 54.72%, the throughput is 88.68kbps, packet delivery ratio is 92.91% and the E to E delay is of about 37.27ms.

2020-11-17
Buenrostro, E. D., Rivera, A. O. G., Tosh, D., Acosta, J. C., Njilla, L..  2019.  Evaluating Usability of Permissioned Blockchain for Internet-of-Battlefield Things Security. MILCOM 2019 - 2019 IEEE Military Communications Conference (MILCOM). :841—846.

Military technology is ever-evolving to increase the safety and security of soldiers on the field while integrating Internet-of-Things solutions to improve operational efficiency in mission oriented tasks in the battlefield. Centralized communication technology is the traditional network model used for battlefields and is vulnerable to denial of service attacks, therefore suffers performance hazards. They also lead to a central point of failure, due to which, a flexible model that is mobile, resilient, and effective for different scenarios must be proposed. Blockchain offers a distributed platform that allows multiple nodes to update a distributed ledger in a tamper-resistant manner. The decentralized nature of this system suggests that it can be an effective tool for battlefields in securing data communication among Internet-of-Battlefield Things (IoBT). In this paper, we integrate a permissioned blockchain, namely Hyperledger Sawtooth, in IoBT context and evaluate its performance with the goal of determining whether it has the potential to serve the performance needs of IoBT environment. Using different testing parameters, the metric data would help in suggesting the best parameter set, network configuration and blockchain usability views in IoBT context. We show that a blockchain-integrated IoBT platform has heavy dependency on the characteristics of the underlying network such as topology, link bandwidth, jitter, and other communication configurations, that can be tuned up to achieve optimal performance.

2020-11-02
Li, T., Ma, J., Pei, Q., Song, H., Shen, Y., Sun, C..  2019.  DAPV: Diagnosing Anomalies in MANETs Routing With Provenance and Verification. IEEE Access. 7:35302–35316.
Routing security plays an important role in the mobile ad hoc networks (MANETs). Despite many attempts to improve its security, the routing mechanism of MANETs remains vulnerable to attacks. Unlike most existing solutions that prevent the specific problems, our approach tends to detect the misbehavior and identify the anomalous nodes in MANETs automatically. The existing approaches offer support for detecting attacks or debugging in different routing phases, but many of them cannot answer the absence of an event. Besides, without considering the privacy of the nodes, these methods depend on the central control program or a third party to supervise the whole network. In this paper, we present a system called DAPV that can find single or collaborative malicious nodes and the paralyzed nodes which behave abnormally. DAPV can detect both direct and indirect attacks launched during the routing phase. To detect malicious or abnormal nodes, DAPV relies on two main techniques. First, the provenance tracking enables the hosts to deduce the expected log information of the peers with the known log entries. Second, the privacy-preserving verification uses Merkle Hash Tree to verify the logs without revealing any privacy of the nodes. We demonstrate the effectiveness of our approach by applying DAPV to three scenarios: 1) detecting injected malicious intermediated routers which commit active and passive attacks in MANETs; 2) resisting the collaborative black-hole attack of the AODV protocol, and; 3) detecting paralyzed routers in university campus networks. Our experimental results show that our approach can detect the malicious and paralyzed nodes, and the overhead of DAPV is moderate.
Thurston, K. H., Leon, D. Conte de.  2019.  MACH-2K Architecture: Building Mobile Device Trust and Utility for Emergency Response Networks. 2019 IEEE 16th International Conference on Mobile Ad Hoc and Sensor Systems Workshops (MASSW). :152–157.
In this article, we introduce the MACH-2K trust overlay network and its architecture. MACH-2K's objectives are to (a) enhance the resiliency of emergency response and public service networks and (b) help build such networks in places, or at times, where network infrastructure is limited. Resiliency may be enhanced in an economic manner by building new ad hoc networks of private mobile devices and joining these to public service networks at specific trusted points. The major barrier to building resiliency by using private devices is ensuring security. MACH-2K uses device location and communication utility patterns to assign trust to devices, after owner approval. After trust is established, message confidentiality, privacy, and integrity may be implemented by well-known cryptographic means. MACH-2K devices may be then requested to forward or consume different types of messages depending on their current level of trust and utility.
Mohsen, Y., Hamdy, M., Shaaban, E..  2019.  Key distribution protocol for Identity Hiding in MANETs. 2019 Ninth International Conference on Intelligent Computing and Information Systems (ICICIS). :245–252.
Mobile Ad-hoc Networks (MANETs) are formed when a group of mobile nodes, communicate through wireless links in the absence of central administration. These features make them more vulnerable to several attacks like identity spoofing which leads to identity disclosure. Providing anonymity and privacy for identity are critical issues, especially when the size of such networks scales up. to avoid the centralization problem for key distribution in MANETs. This paper proposes a key distribution scheme for clustered ad-hoc networks. The network is divided into groups of clusters, and each cluster head is responsible for distributing periodically updated security keys among cluster members, for protecting privacy through encryption. Also, an authentication scheme is proposed to ensure the confidentiality of new members to the cluster. The simulation study proves the effectiveness of the proposed scheme in terms of availability and overhead. It scales well for high dense networks and gives less packet drop rate compared to its centralized counterpart in the presence of malicious nodes.
Gupta, D. S., Islam, S. H., Obaidat, M. S..  2019.  A Secure Identity-based Deniable Authentication Protocol for MANETs. 2019 International Conference on Computer, Information and Telecommunication Systems (CITS). :1–5.
A deniable authentication (DA) protocol plays a vital role to provide security and privacy of the mobile nodes in a mobile ad hoc network (MANET). In recent years, a number of similar works have been proposed, but most of them experience heavy computational and communication overhead. Further, most of these protocols are not secure against different attacks. To address these concerns, we devised an identity-based deniable authentication (IBDA) protocol with adequate security and efficiency. The proposed IBDA protocol is mainly designed for MANETs, where the mobile devices are resource-limited. The proposed IBDA protocol used the elliptic curve cryptography (ECC) and identity-based cryptosystem (IBC). The security of our IBDA protocol depends on the elliptic curve discrete logarithm (ECDL) problem and bilinear Diffie-Hellman (BDH) problem.
Anzer, Ayesha, Elhadef, Mourad.  2018.  A Multilayer Perceptron-Based Distributed Intrusion Detection System for Internet of Vehicles. 2018 IEEE 4th International Conference on Collaboration and Internet Computing (CIC). :438—445.

Security of Internet of vehicles (IoV) is critical as it promises to provide with safer and secure driving. IoV relies on VANETs which is based on V2V (Vehicle to Vehicle) communication. The vehicles are integrated with various sensors and embedded systems allowing them to gather data related to the situation on the road. The collected data can be information associated with a car accident, the congested highway ahead, parked car, etc. This information exchanged with other neighboring vehicles on the road to promote safe driving. IoV networks are vulnerable to various security attacks. The V2V communication comprises specific vulnerabilities which can be manipulated by attackers to compromise the whole network. In this paper, we concentrate on intrusion detection in IoV and propose a multilayer perceptron (MLP) neural network to detect intruders or attackers on an IoV network. Results are in the form of prediction, classification reports, and confusion matrix. A thorough simulation study demonstrates the effectiveness of the new MLP-based intrusion detection system.

Ivanov, I, Maple, C, Watson, T, Lee, S.  2018.  Cyber security standards and issues in V2X communications for Internet of Vehicles. Living in the Internet of Things: Cybersecurity of the IoT – 2018. :1—6.

Significant developments have taken place over the past few years in the area of vehicular communication systems in the ITS environment. It is vital that, in these environments, security is considered in design and implementation since compromised vulnerabilities in one vehicle can be propagated to other vehicles, especially given that V2X communication is through an ad-hoc type network. Recently, many standardisation organisations have been working on creating international standards related to vehicular communication security and the so-called Internet of Vehicles (IoV). This paper presents a discussion of current V2X communications cyber security issues and standardisation approaches being considered by standardisation bodies such as the ISO, the ITU, the IEEE, and the ETSI.

2020-10-29
El-Zoghby, Ayman M., Mosharafa, Ahmed, Azer, Marianne A..  2018.  Anonymous Routing Protocols in MANETs, a Security Comparative Analysis. 2018 14th International Computer Engineering Conference (ICENCO). :254—259.

A Mobile Ad Hoc Network (MANET) is considered a type of network which is wireless and has no fixed infrastructure composed of a set if nodes in self organized fashion which are randomly, frequently and unpredictably mobile. MANETs can be applied in both military and civil environments ones because of its numerous applications. This is due to their special characteristics and self-configuration capability. This is due to its dynamic nature, lack of fixed infrastructure, and the no need of being centrally managed; a special type of routing protocols such as Anonymous routing protocols are needed to hide the identifiable information of communicating parties, while preserving the communication secrecy. This paper provides an examination of a comprehensive list of anonymous routing protocols in MANET, focusing their security and performance capabilities.

Tomar, Ravi, Awasthi, Yogesh.  2019.  Prevention Techniques Employed in Wireless Ad-Hoc Networks. 2019 International Conference on Advanced Science and Engineering (ICOASE). :192—197.
The paper emphasizes the various aspects of ad-hoc networks. The different types of attacks that affect the system and are prevented by various algorithms mentioned in this paper. Since Ad-hoc wireless networks have no infrastructure and are always unreliable therefore they are subject to many attacks. The black hole attack is seen as one of the dangerous attacks of them. In this attack the malicious node usually absorbs each data packets that are similar to separate holes in everything. Likewise all packets in the network are dropped. For this reason various prevention measures should be employed in the form of routing finding first then the optimization followed by the classification.
Mintu, Singh, Gursharan, Malhi, Simarjit Singh, Mahajan, Makul, Batra, Salil, Bath, Ranbir Singh.  2019.  Anatomization of Detection and Performance Measures Techniques for Flooding Attacks using Routing Protocols in MANETs. 2019 International Conference on Automation, Computational and Technology Management (ICACTM). :160—167.
Mobile ad-hoc network (MANETS) is generally appropriate in different territories like military tactical network, educational, home and entertainment and emergency operations etc. The MANETSs are simply the disintegration and designing kind of system in this portable hubs coming up and out the system whenever. Because of decentralized creation of the network, security, routing and Standard of service are the three noteworthy issues. MANETSs are helpless against security attack in light of the decentralized validation. The mobile hubs can enter or out the system and at some point malicious hubs enter the system, which are capable to trigger different dynamic and inactive attack. The flooding attack is the dynamic sort of attack in which malicious hubs transfers flooding packets on the medium. Because of this, medium gets over-burden and packets drop may happen inside the system. This decreases the throughput and increased packet loss. In this paper we illustrated different techniques and proposed various methods responsible for flooding attack. Our commitment in this paper is that we have investigated various flooding attacks in MANETs, their detection techniques with performance measure parameters.