scholarly journals DoS Attacks at Cooperative MAC

2018 ◽  
Author(s):  
Kiramat

—Cooperative networking brings performance improvement to most of theissues in wireless networks, such as fading or delay due to slow stations. However, due tocooperation when data is relayed via other nodes, there network is more prone to attacks.Since, channel access is very important for cooperation, most of the attacks happens at MAC.One of the most critical attack is denial of service, which is reason of cooperation failure.Therefore, the cooperative network as well as simple wireless LAN must be defensive againstDOS attacks.In this article we analyzed all possible of DoS attacks that can happen at MAC layer ofWLAN. The cooperative protocols must consider defense against these attacks. This articlealso provided survey of available solutions to these attacks. At the end it described itsdamages and cost as well as how to handle these attacks while devising cooperative MAC.

Author(s):  
Lawan A. Mohammed ◽  
Biju Issac

This chapter shows that the security challenges posed by the 802.11 wireless networks are manifold and it is therefore important to explore the various vulnerabilities that are present with such networks. Along with other security vulnerabilities, defense against denial of service attacks is a critical component of any security system. Unlike wired networks where denial of service attacks has been extensively studied, there is a lack of research for preventing such attacks in wireless networks. In addition to various vulnerabilities, some factors leading to different types of denial of service (DoS) attacks and some defense mechanisms are discussed in this chapter. This can help to better understand the wireless network vulnerabilities and subsequently more techniques and procedures to combat these attacks may be developed by researchers.


Author(s):  
سامي العيساوي، ورضا سلامة، وعبدالرحمن الطلحي سامي العيساوي، ورضا سلامة، وعبدالرحمن الطلحي

Wireless networks in the lives of people at work, at home, and in public places, plays a decisive role. Given the widespread demand for wireless networks, providers deploy wireless local area networks (WLAN) to provide access to broadband Internet Within the range of a public wireless LAN hotspot such as in airports or hotels, users can access their e-mails and browse the Internet either for free or, most often, against a fee. However, as the number of users rises, so does the risk that users may misbehave. Misbehaving users can to a large extent increase their share of bandwidth at the expense of other paid users by slightly modifying the driver of the network adapter. As the use of such networks grows, users will demand secure yet efficient, low-latency communications. Intruders’ detection is one of the key techniques that can be used to protect a network against outsiders. Many Intrusion Detection Systems (IDSs) have been designed for wired networks. Unfortunately, most of these IDSs do not give the expected results when used with wireless networks and are especially poor at addressing the Media Access Control (MAC) layer problem. In this sheet, we present the design and implementation of an IDS tool that is chosen for WLANs and addresses misbehavior at the MAC layer properly. Keywords: IDS, WLAN, MAC layer, Misbehavior


Sensors ◽  
2019 ◽  
Vol 19 (22) ◽  
pp. 4954 ◽  
Author(s):  
Adnan Shahid Khan ◽  
Kuhanraj Balan ◽  
Yasir Javed ◽  
Seleviawati Tarmizi ◽  
Johari Abdullah

Vehicular ad hoc networks (VANET) are also known as intelligent transportation systems. VANET ensures timely and accurate communications between vehicle to vehicle (V2V) and vehicle to infrastructure (V2I) to improve road safety and enhance the efficiency of traffic flow. Due to its open wireless boundary and high mobility, VANET is vulnerable to malicious nodes that could gain access into the network and carry out serious medium access control (MAC) layer threats, such as denial of service (DoS) attacks, data modification attacks, impersonation attacks, Sybil attacks, and replay attacks. This could affect the network security and privacy, causing harm to the information exchange within the network by genuine nodes and increase fatal impacts on the road. Therefore, a novel secure trust-based architecture that utilizes blockchain technology has been proposed to increase security and privacy to mitigate the aforementioned MAC layer attacks. A series of experiment has been conducted using the Veins simulation tool to assess the performance of the proposed solution in the terms of packet delivery ratio (PDR), end-to-end delay, packet loss, transmission overhead, and computational cost.


Electronics ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 1244
Author(s):  
Hana Rhim ◽  
Damien Sauveron ◽  
Ryma Abassi ◽  
Karim Tamine ◽  
Sihem Guemara

Wireless sensor networks (WSNs) have been widely used for applications in numerous fields. One of the main challenges is the limited energy resources when designing secure routing in such networks. Hierarchical organization of nodes in the network can make efficient use of their resources. In this case, a subset of nodes, the cluster heads (CHs), is entrusted with transmitting messages from cluster nodes to the base station (BS). However, the existence of selfish or pollution attacker nodes in the network causes data transmission failure and damages the network availability and integrity. Mainly, when critical nodes like CH nodes misbehave by refusing to forward data to the BS, by modifying data in transit or by injecting polluted data, the whole network becomes defective. This paper presents a secure protocol against selfish and pollution attacker misbehavior in clustered WSNs, known as (SSP). It aims to thwart both selfish and pollution attacker misbehaviors, the former being a form of a Denial of Service (DoS) attack. In addition, it maintains a level of confidentiality against eavesdroppers. Based on a random linear network coding (NC) technique, the protocol uses pre-loaded matrices within sensor nodes to conceive a larger number of new packets from a set of initial data packets, thus creating data redundancy. Then, it transmits them through separate paths to the BS. Furthermore, it detects misbehaving nodes among CHs and executes a punishment mechanism using a control counter. The security analysis and simulation results demonstrate that the proposed solution is not only capable of preventing and detecting DoS attacks as well as pollution attacks, but can also maintain scalable and stable routing for large networks. The protocol means 100% of messages are successfully recovered and received at the BS when the percentage of lost packets is around 20%. Moreover, when the number of misbehaving nodes executing pollution attacks reaches a certain threshold, SSP scores a reception rate of correctly reconstructed messages equal to 100%. If the SSP protocol is not applied, the rate of reception of correctly reconstructed messages is reduced by 90% at the same case.


Electronics ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 318
Author(s):  
Merima Kulin ◽  
Tarik Kazaz ◽  
Eli De Poorter ◽  
Ingrid Moerman

This paper presents a systematic and comprehensive survey that reviews the latest research efforts focused on machine learning (ML) based performance improvement of wireless networks, while considering all layers of the protocol stack: PHY, MAC and network. First, the related work and paper contributions are discussed, followed by providing the necessary background on data-driven approaches and machine learning to help non-machine learning experts understand all discussed techniques. Then, a comprehensive review is presented on works employing ML-based approaches to optimize the wireless communication parameters settings to achieve improved network quality-of-service (QoS) and quality-of-experience (QoE). We first categorize these works into: radio analysis, MAC analysis and network prediction approaches, followed by subcategories within each. Finally, open challenges and broader perspectives are discussed.


2018 ◽  
Vol 2018 ◽  
pp. 1-12
Author(s):  
Sangwon Hyun ◽  
Hyoungshick Kim

Content-Centric Networking (CCN) is considered as a promising alternative to traditional IP-based networking for vehicle-to-everything communication environments. In general, CCN packets must be fragmented and reassembled based on the Maximum Transmission Unit (MTU) size of the content delivery path. It is thus challenging to securely protect fragmented packets against attackers who intentionally inject malicious fragments to disrupt normal services on CCN-based vehicular networks. This paper presents a new secure content fragmentation method that is resistant to Denial-of-Service (DoS) attacks in CCN-based vehicular networks. Our approach guarantees the authenticity of each fragment through the immediate fragment verification at interim nodes on the routing path. Our experiment results demonstrate that the proposed approach provides much stronger security than the existing approach named FIGOA, without imposing a significant overhead in the process. The proposed method achieves a high immediate verification probability of 98.2% on average, which is 52% higher than that of FIGOA, while requiring only 14% more fragments than FIGOA.


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