Grey model and polynomial regression for identifying malicious nodes in MANETs

Silva, Anderson A. A.; Pontes, Elvis; Zhou, Fen; Kofuji, Sérgio Takeo

doi:10.1109/glocom.2014.7036801

Cited by 5 publications

(1 citation statement)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In Silva et al [15], node situating is a basic issue for differing applications in mobile networks. In any case, other than acting mischievously nodes that could cause control exhaustion, MANETs are additionally powerless to digital assaults, which can make the system temperamental as well as inaccessible.…”

Section: Related Workmentioning

confidence: 99%

Implementation of Hidden Node Detection Scheme for Self-Organization of Data Packet

Panatula¹,

Naidu²,

Swaroopa

et al. 2022

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

The mobile nodes are infrequent movement in nature; therefore, its packet transmission is also infrequent. Packet overload occurred for routing process, and data are lossed by receiver node, since hackers hide the normal routing node. Basically, the hidden node problem is created based on the malicious nodes that are planned to hide the vital relay node in the specific routing path. The packet transmission loss occurred for routing; so, it minimizes the packet delivery ratio and network lifetime. Then, proposed enhanced self-organization of data packet (EAOD) mechanism is planned to aggregate the data packet sequencially from network structure. The hacker node present in routing path is easy to separate from network with trusty nodes. In order to secure the regular characteristics of organizer node from being confirmed as misbehaving node, the hidden node detection technique is designed for abnormal routing node identification. This algorithm checks the neighboring nodes that are hacker node, which hide the trust node in the routing path. And that trust nodes are initially found based on strength value of every node and assign path immediately. It increases network lifetime and minimizes the packet loss rate.

show abstract

Section: Related Workmentioning

confidence: 99%