Cluster Head Authentication Technique against Hello Flood Attack in Wireless Sensor Networks

Singh, Rupinder; Singh, Jatinder; Singh, Ravinder

doi:10.5120/ijca2016912423

Cited by 6 publications

(6 citation statements)

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“…A few examples of such assaults include node replication attacks, Sybil attacks, wormhole attacks, and compromised nodes. During an external attack like a Sybil attack or wormhole attack, a non-participating node can first listen in on packets sent or received by regular participating nodes to maliciously tamper with, interfere with, guess, or spam the data and then inject invalid packets to obstruct the network's operations [31].…”

Section: Active Attacksmentioning

confidence: 99%

A Comprehensive Analysis of Security Challenges and Countermeasures in Wireless Sensor Networks Enhanced by Machine Learning and Deep Learning Technologies

Saleh,

Marouane,

Fakhfakh

2024

IJSSE

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Wireless sensor networks (WSNs) play a crucial role in monitoring and capturing information in various domains, including the Internet of Medical Things (IOMT). However, WSNs face significant security challenges, such as intrusion and potential malicious activities, due to their distributed and resource-constrained nature. This research provides a comprehensive analysis of the security challenges in WSNs enhanced by machine learning and deep learning technologies within the context of the IOMT. The research addresses these challenges by proposing practical countermeasures to mitigate security concerns in WSNs. It discusses the complexities, critical security issues, and vulnerabilities within WSNs, offering insights into potential fixes based on various approaches and theories. Furthermore, the integration of machine learning and deep learning in WSNs enables efficient communication, data analysis, and control, supporting areas like the IOMT, which includes monitoring prescription orders, tracking patients' movements, and remotely managing patients with chronic illnesses. By addressing the security challenges specific to WSNs in the IOMT environment, this research contributes to the advancement of secure and reliable wireless sensing systems in critical domains. The utilization of machine learning and deep learning technologies facilitates the development of robust methods for detecting and mitigating network attacks. The practical implications of the research findings are demonstrated through tangible examples within the IOMT context, emphasizing the potential impact on improving the security and reliability of wireless sensing systems.

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Section: Active Attacksmentioning

confidence: 99%

A Comprehensive Analysis of Security Challenges and Countermeasures in Wireless Sensor Networks Enhanced by Machine Learning and Deep Learning Technologies

Saleh,

Marouane,

Fakhfakh

2024

IJSSE

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“…Lalu ada satu lagi jenis serangan yang menyerupai Sybil attack, serangan tersebut adalah Hello Flood Attack. Dalam serangan ini penyerang menggunakan malicious node untuk menyerang dengan cara mengirim hello request ke node yang asli dalam jaringan secara terus menerus yang akan menyebabkan gangguan pada sistem keamanan [4]. Kedua jenis serangan ini dapat disimulasikan dengan menggunakan tools atau aplikasi bernama Network Simulator.…”

Section: Pendahuluanunclassified

Evaluasi Perbandingan Performa Jaringan Wireless Sensor Network Dalam Serangan Sybil Attack dan Hello Flood Attack

Akbar,

Risqiwati,

Akbi

2024

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Perkembangan ilmu pengetahuan pada bidang teknologi jaringan terjadi sangat cepat karena mengikuti perkembangan kebutuhan manusia. Salah satu teknologi jaringan yang saat ini menarik perhatian masyarakat adalah teknologi Wireless Sensor Network(WSN). WSN adalah jaringan dari kumpulan sensor yang terhubung menggunakan teknologi wireless secara ad-hoc dan setiap sensor node digunakan untuk proses pengumpulan data dan menghubungkan dengan node yang lain melalui jaringan wireless.Karena pada kebanyakan kasus aplikasi WSN digunakan pada lingkungan yang ekstrem dan sensor node harus dapat beroperasi secara otomatis tanpa campur tangan manusia, jaringan ini menjadi rentan akan beberapa ancaman jaringan dan dapat mempengaruhi performa dari jaringannya. Terdapat berbagai macam jenis serangan yang dapat membahayakan jaringan wireless sensor network diantaranya yang paling umum adalah sybil attack dan hello flood attack. Dalam penelitian ini, penulis meneliti performa WSN saat diserang oleh Sybil attack dan hello flood attack dengan cara mengukur throughput, PDR(packet delivery ratio), jitter dan delay dalam jaringan WSN. Penelitian ini juga menganalisa jumlah node yang bervariasi dari 10 node sampai 30 node dengan waktu simulasi dari 10 detik sampai 30 detik lalu dianalisa jaringan ketika jaringan normal dan diserang oleh node penyerang yang bervariasi dari 1 sampai 3 penyerang. Dengan melakukan analisa tersebut, diperoleh data berupa perbandingan dampak serangan dari Sybil attack dan hello flood attack. Dampak dari sybil attack lebih berpengaruh pada parameter throughput dan pdr yang mengalami penurunan nilai hingga 69,9% untuk pdr dan 56,4% untuk throughput. Sedangkan dampak dari hello flood attack lebih berpengaruh pada parameter delay dan jitter yang mengalami kenaikandari nilai semula 0,05 detik menjadi 0,576 detikuntuk delay dan 0,579 detik untuk jitter.

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“…Flooding Attack [8]: The principle of flooding attack is that the attacker sends a large number of communication requests or data to a node or several nodes in the network. As a result, the attacked node cannot process normal data sending and receiving in the network due to resource exhaustion.…”

Section: Jamming Communicationmentioning

confidence: 99%

Research on trust-based secure routing in wireless sensor networks

Liu

2023

Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022)

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In the wake of developments in science and technology, wireless sensor networks have attracted more and more researchers. Compared with traditional networks, wireless sensor networks are very different in many respects. Energy saving, security and reliability are the most concerned topics of wireless sensor networks. As the network expanded scale and complexity are increasing, the limited sensor node resources and the uncertainty of the environment layout, the traditional security mechanism is no longer applicable to wireless sensor networks. This article reviews the common assault forms, security technologies and security mechanisms of trust based routing protocols proposed in wireless sensor networks in recent years. Based on the analysis of various types of attacks, the development direction of the trust mechanisms in wireless sensor networks is provided.

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Cluster Head Authentication Technique against Hello Flood Attack in Wireless Sensor Networks

Cited by 6 publications

References 0 publications

A Comprehensive Analysis of Security Challenges and Countermeasures in Wireless Sensor Networks Enhanced by Machine Learning and Deep Learning Technologies

A Comprehensive Analysis of Security Challenges and Countermeasures in Wireless Sensor Networks Enhanced by Machine Learning and Deep Learning Technologies

Evaluasi Perbandingan Performa Jaringan Wireless Sensor Network Dalam Serangan Sybil Attack dan Hello Flood Attack

Research on trust-based secure routing in wireless sensor networks

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