Secure Coverage Control in Wireless Sensor Networks with Malicious Nodes Using Multi-agents

Phuphanin, Akkachai; Usaha, Wipawee

doi:10.1109/euc.2011.61

Cited by 3 publications

(6 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…c) Physical Damage This attack may result to a denial of service, it occurs when the attacker physically damages components of the IoT system. d) Sleep Denial Attack Most nodes are powered by replaceable batteries and program to sleep when not utilise, this prevents energy wastage and increases the life of the battery [19]. During the attack the attacker prevents the node entering the sleep mode by feeding fake input to the node or supplying the node with a large amount of power which cause a shutdown of the node.…”

Section: Physical Layer Attacks A) Node Temperingmentioning

confidence: 99%

Security Challenges in IoT Platforms and Possible Solutions

Orifama¹,

Okoro²

2020

IOTCC

View full text Add to dashboard Cite

There has been an increase in the electronic devices connected to the internet space, with at least 40 billion more devices becoming smart devices via the embedded system in 2020. The internet of things (IoT) is an emerging technology that deals with the interconnection of smart devices via the internet space, hence providing enhanced communication, interaction and service delivery. Communication between IoT devices take place over the internet, placing the internet at the heart of IoT applications, hence, extending the security challenges present in the traditional network into the IoT system. This dissertation describes the various layers of an IoT network, it made mention of the three-layer architecture and describes the functions of each of its component. Also, and more importantly, the security challenges that affects the layers of an IoT network and possible solutions for each layer were discusses. Furthermore, these items were combined in a stack to discuss on IoT platforms, which is a combination of IoT devices and services connected via a communication protocol and ensures applications are send to users in a secure system. This makes it possible for the continuity of security between different stages and data tracking between IoT devices. Issues rising from IoT platforms that make it difficult for integration with other IoT devices concludes this study.

show abstract

Section: Physical Layer Attacks A) Node Temperingmentioning

confidence: 99%

Security Challenges in IoT Platforms and Possible Solutions

Orifama¹,

Okoro²

2020

IOTCC

View full text Add to dashboard Cite

show abstract

“…The security vulnerabilities of topology maintenance schemes (PEAS, ASCENT, and CCP) in WSNs are studied [16], [17]. The authors considered three types of attacks-sleep deprivation, snooze, and network substitution.…”

Section: Related Workmentioning

confidence: 99%

“…Gabrielli et al [16] proposed key management techniques to maintain coverage and connectivity by using a subset of nodes in an active or awake state in an adversarial environment. Phuphanin and Usaha [17] proposed coverage control scheme to maximize the sensing coverage per unit energy consumption in an adversarial environment. However, topology maintenance using trust-based scheme was not considered here.…”

Section: Related Workmentioning

confidence: 99%

“…For trust rating evaluation, we use the Dempster-Shafer (D-S) theory of evidence. for each neighbor node j ∈ V for node i do 3 Evaluate initial trust rating at node i toward node j, and maintain a trust database at node i toward node j; 4 end 5 end 6 for each event occurrence do 7 for each node i ∈ V do 8 for each neighbor node j ∈ V for node i do 9 Evaluate trust rating of node i toward node j; 10 Calculate RSS (RSSnew) at node i for node j; 11 Obtain AttackFlag from Algorithm 2; 12 if AttackF lag = F alse then 13 Node i considers node j as a non-malicious node; 14 if (mi,j (H0)/mi,j (H1) ≤ 1) then 15 Node i seeks neighbor node k with which node j has interacted before; 16 if node k declares node j as malicious based on AttackFlag obtained from Algorithm 2 then 17 Node i does not make node j as its neighbor and include the trust related information in its trust database; 18 else 19 Node i takes indirect trust rating of node k toward node j; 20 Apply Dempster-Shafer Rule of combination to combine both the indirect and direct trust; if (mi,j (H0)/mi,j (H1) > 1) then 23 Node i considers node j trusted, and updates the corresponding trust database for node j; 24 else 25 Node i considers node j distrusted, and deletes all the trust related information from the corresponding trust database; 26 end 27 else 28 Node i considers node j trusted, and updates the corresponding trust database for node j; …”

Section: Trust Evaluation Proceduresmentioning

confidence: 99%

See 1 more Smart Citation

TRAST: Trust-Based Distributed Topology Management for Wireless Multimedia Sensor Networks

Mali

Misra

2016

IEEE Trans. Comput.

View full text Add to dashboard Cite

A distributed topology management scheme in wireless multimedia sensor networks (WMSNs) ensures coverage of an event, prolongs network lifetime, and maintains connectivity between camera sensor (CS) nodes. However, the deployment of WMSNs in unattended environments makes the nodes vulnerable to security attacks. Hence, security issues should be considered, along with topology management, in WMSNs. In this work, we propose a trust-based distributed topology management scheme, named TRAST, for use in WMSNs. TRAST exploits the received signal strength of the control packets, which are then used to construct the distributed topology. In a non-secure distributed topology, the use of trust helps in providing coverage of an event, and maintaining connectivity, even in the presence of malicious attacks. The proposed topology management scheme achieves higher average coverage ratio and average packet delivery ratio than those corresponding to the LDTS and T-Must schemes, in the presence of malicious attacks.Index Terms-Wireless multimedia sensor networks, node replication attack, trust, received signal strength. ! 0018-9340 (c)

show abstract

“…Backup nodes provide additional support to the 1-coverage nodes in event detection and maintain fault tolerance. Backup nodes improve energy efficiency by reducing the communication as they only report when 1-coverage nodes fail to detect the event [9][10].…”

Section: Fig 3: Constrained Delaunay Triangulationmentioning

confidence: 99%

Fault Tolerance in Wireless Sensor Networks Using Constrained Delaunay Triangulation

Dubey

Swain

Kashyap

et al. 2012

IJSSAN

View full text Add to dashboard Cite

Fault tolerance is one of the main issues in Wireless Sensor Networks (WSNs) since it becomes critical in real deployment environment where reliability and reduced inaccessibility times are important. In this paper, we propose a fault–tolerance technique for coverage area of the sensor network that enhances the energy efficiency by reducing the communication, with the help of Constrained Delaunay Triangulation intersect line. Further by applying the above approach, we reduce the energy consumption and congestion in the network. In last, we describe our approach with a case study that our approach is better in fault tolerance and energy saving.

show abstract

Secure Coverage Control in Wireless Sensor Networks with Malicious Nodes Using Multi-agents

Cited by 3 publications

References 10 publications

Security Challenges in IoT Platforms and Possible Solutions

Security Challenges in IoT Platforms and Possible Solutions

TRAST: Trust-Based Distributed Topology Management for Wireless Multimedia Sensor Networks

Fault Tolerance in Wireless Sensor Networks Using Constrained Delaunay Triangulation

Contact Info

Product

Resources

About