AIEMLA: artificial intelligence enabled machine learning approach for routing attacks on internet of things

Sharma, Saurabh; Verma, Vinod Kumar

doi:10.1007/s11227-021-03833-1

Cited by 36 publications

(14 citation statements)

References 40 publications

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“…This research evaluates several solutions based on performance measures such as security, flexibility, energy efficiency, mobility, reusability, scalability, latency, as well as large amounts of data. Sharma and Verma [43] modelled the three RPL attcks (hello-flood, decreased-rank, and increased-version) utilizing the RPL attack architecture. Separate and simultaneous attacks are being simulated.…”

Section: Security and Trustwothiness Of Iot Based Wsnmentioning

confidence: 99%

Internet of things based wireless sensor network: a review

Nourildean

Hassib

Mohammed

2022

IJEECS

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Recently, Internet of Things (IoT) technologies are developing technology with a variety of applications. The Internet of Things (IoTs) is defined as a network of ordinary objects such as Internet TVs, smartphones, actuators and sensors that are smartly connected together to enable new types of communication between people and things as well as between things themselves. Wireless sensor networks (WSNs) play an important part in Internet of Things (IoT) technology. A contribution to wireless sensor networks and IoT applications is wireless sensor nodes’ construction with high-speed CPUs and low-power radio links. The IoT-based wireless Sensor network (WSN) is a game-changing smart monitoring solution. ZigBee standard is an important wireless sensor network (WSN) and Internet of Things (IoT) communication protocol in order to facilitate low-power, low-cost IoT applications and to handle numerous network topologies. This paper presented a review on the energy efficient and routing topologies of ZigBee WSN, applications of IoT enabled Wireless Sensor Network as well IoT WSN security challenges.

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Section: Security and Trustwothiness Of Iot Based Wsnmentioning

confidence: 99%

Internet of things based wireless sensor network: a review

Nourildean

Hassib

Mohammed

2022

IJEECS

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“…In [56], the authors presented an ML approach for detecting routing attacks in RPL. The proposed approach simulates three routing attacks: HF, DRA, and VN attacks.…”

Section: The Feature Ranking Technique Work By Measuring the Pearson'...mentioning

confidence: 99%

“…Moreover, the proposed work is limited to detecting only one type of attack. [56] The introduced AIEMIA approach reached the maximum result of AC using the hold-out validation technique. The authors reported good outcomes for the other performance measures such as PRC, Number of Packets, etc.…”

Section: Ac Precision Recall Specificitymentioning

confidence: 99%

“…Summary: Table 2 shows that some ML-based approaches select the optimum subset of features to improve the detection accuracy, classify the network traffic into normal and abnormal behavior, or use ML algorithms for both purposes. However, several works did not provide details about feature selection technique used in their approach [3,8,10,21,45,50,51,53,54,56,60].…”

Section: Ac Precision Recall Specificitymentioning

confidence: 99%

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A Systematic Literature Review on Machine and Deep Learning Approaches for Detecting Attacks in RPL-Based 6LoWPAN of Internet of Things

Al-Amiedy

Anbar

Belaton

et al. 2022

Sensors

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The IETF Routing Over Low power and Lossy network (ROLL) working group defined IPv6 Routing Protocol for Low Power and Lossy Network (RPL) to facilitate efficient routing in IPv6 over Low-Power Wireless Personal Area Networks (6LoWPAN). Limited resources of 6LoWPAN nodes make it challenging to secure the environment, leaving it vulnerable to threats and security attacks. Machine Learning (ML) and Deep Learning (DL) approaches have shown promise as effective and efficient mechanisms for detecting anomalous behaviors in RPL-based 6LoWPAN. Therefore, this paper systematically reviews and critically analyzes the research landscape on ML, DL, and combined ML-DL approaches applied to detect attacks in RPL networks. In addition, this study examined existing datasets designed explicitly for the RPL network. This work collects relevant studies from five major databases: Google Scholar, Springer Link, Scopus, Science Direct, and IEEE Xplore® digital library. Furthermore, 15,543 studies, retrieved from January 2016 to mid-2021, were refined according to the assigned inclusion criteria and designed research questions resulting in 49 studies. Finally, a conclusive discussion highlights the issues and challenges in the existing studies and proposes several future research directions.

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“…In terms of performance measures, [13] assessed a dense WSN architecture that includes two data distribution routing protocols: sense count, transmit count, and receive redundant count. Sharma and Verma [14], a unique energy-efficient routing strategy is proposed. Catenarian-Trim Medley routing systems extend the life of a wireless sensor network by distributing transmission loads among all nodes and saving significant energy by transmitting data with just one node in one round.…”

Section: Introductionmentioning

confidence: 99%

Multiuser-scheduling and resource allocation using max-min technique in wireless powered communication networks

Thomas

Malarvizhi

2022

IJEECS

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Wireless <span>powered communication network (WPCN) is a promising research area for improving network security and speed. The transmission power of the source during the uplink functions as a random variable in WPCN due to the intrinsic power transfer process, whereas it is a constant in typical cooperative networks, culminating in the signal to noise ratio of the source-access point and all the source-relay-access point being mutually correlated. As a result of the massive increase in communication devices powered by battery, the goal of prolonging their life is critical. To get the most throughput in the shortest amount of time, the best uplink and downlink time allocations were calculated. For high throughput and secrecy performance, the proportional max-min fairness algorithm was used in this paper for secure communication in hybrid relays integrated with WPCN. This method allows for multi-user scheduling with optimum targets to provide reliable hybrid outage probability, secrecy outage probability, and energy outage probability. Efficacy of the proposed system was demonstrated regarding throughput, outage probability, and confidentiality. The performance of the model was compared to that of various energy harvesting models like random user scheduling, best user scheduling, and several others, and was found to outperform them for secure transmission.</span>

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AIEMLA: artificial intelligence enabled machine learning approach for routing attacks on internet of things

Cited by 36 publications

References 40 publications

Internet of things based wireless sensor network: a review

Internet of things based wireless sensor network: a review

A Systematic Literature Review on Machine and Deep Learning Approaches for Detecting Attacks in RPL-Based 6LoWPAN of Internet of Things

Multiuser-scheduling and resource allocation using max-min technique in wireless powered communication networks

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