Improved lightweight security approach routing protocol in internet of things

Mostafa, Samih M.; Darwish, Ibrahim M.; Saadi, Mohamed  R.

doi:10.1016/j.iot.2020.100208

Cited by 7 publications

(5 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The proposed SHECC's performance is evaluated by comparing its encryption and computational times to some baseline algorithms. IRSA, 51 AES KDSB, 52 IBFA, 53 and AES 54 are the techniques used for comparison. The previously proposed IRSA is unsuitable for environments with limited resources, and the model performance is poor when considering more nodes.…”

Section: Resultsmentioning

confidence: 99%

“…The framework achieved superior outcomes, particularly regarding EC, latency and security strength. Mostafa et al 52 proposed an RSA‐based approach and the advanced encryption standard key dependent S box (AES KDSB) algorithm for IoT. The presented approach used the key‐dependent S‐Box identification to enhance the performance of conventional AES.…”

Section: Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

Quality of Service aware secure data transmission model for Internet of Things assisted wireless sensor networks

Velmurugadass

Dhanasekaran

Anand

et al. 2022

Trans Emerging Tel Tech

View full text Add to dashboard Cite

Wireless sensor networks (WSNs) are the most critical networks in developing various Internet of Things (IoT) based applications. However, such intelligent devices have drawbacks for energy, memory, processing, and computation resources. In addition, achieving Quality of Service (QoS) with secure data transmission (DT) is a significant challenge for WSNs. This article proposes efficient IoT authentication and energy-aware safe DT models for achieving better QoS and security with lower energy consumption (EC) in WSNs. Initially, the network randomly deploys the sensor nodes (SNs) and performs the registration of the SNs with the base station (BS). Second, the Entropy-based Jaccard similarity induced fuzzy C-means clustering (EJS-FCM) model clusters the SNs based on the intrinsic qualities of nodes. Then the boosted grasshopper optimization algorithm (BGOA) selects the cluster heads (CHs) optimally by considering major fitness parameters such as communication distance, energy, and distance centroid. Following that, an Adler-32 hashing-based authentication scheme performs authentication of every IoT node deployed in the network to provide safer DT. After successful authentication, secure hash elliptical curve cryptography (SHECC) encrypts the data collected from the CHs by incorporating a hashing function both in encryption and decryption, enhancing the IoT data's security level. Finally, in a cloud server (CS), the decentralized blockchain (BC) stores the encrypted data and the authentication credentials of the IoT devices from the BS, which provide additional security to the network. The results of the presented model show its performance efficiency over existing approaches for energy efficiency (EE), QoS, and security.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Quality of Service aware secure data transmission model for Internet of Things assisted wireless sensor networks

Velmurugadass

Dhanasekaran

Anand

et al. 2022

Trans Emerging Tel Tech

View full text Add to dashboard Cite

show abstract

“…The suggested technique outperforms the current methods, as shown by the data below, and this distinction lengthened the lifespan of the network. The approach suggested in [14] was using the S-Box that is key-dependent identi cation eliminates the dynamic S-limitations. box's The subkey was created based on the data block to increase protection against hacking.…”

Section: Related Workmentioning

confidence: 99%

PathGuard: Trustworthy Routing for Sustainable and Secure IoT-WSN Networks

Kumar

Sharma

2023

Preprint

View full text Add to dashboard Cite

The fusion of Internet of Things (IoT) and Wireless Sensor Networks (WSN) has brought about a paradigm shift in the realm of IoT-WSN, enabling seamless real-time monitoring and control of remote systems through efficient data collection and transmission. However, the pressing challenge of limited energy resources in sensors demands ingenious strategies to optimize their longevity and harness their capabilities to the fullest extent. Additionally, guaranteeing secure data transmission is of utmost importance to safeguard sensitive information from potential cyber threats. This research proposes a novel approach to address these critical concerns, introducing a trust-based node behavior estimation method for identifying malicious nodes within the IoT-WSN. This technique enhances data transmission integrity, bolstering the reliability and security of the network. Additionally, an efficient routing scheme is presented that optimizes data transmission to the central station, minimizing delays and maximizing the Packet Delivery Ratio (PDR) to facilitate swift and effective communication. Through comprehensive analysis and evaluation, the effectiveness of the proposed approach is demonstrated using key performance metrics such as Delay and PDR. Furthermore, the Future research in IoT-WSN can explore efficient resource allocation algorithms, advanced data analytics techniques, novel communication protocols, and the potential of emerging technologies such as blockchain and artificial intelligence.

show abstract

“…Farhan Ahmad et al [9] focused on Cloud integrity and privacy mechanisms relying on hardware tamper-proof and cryptographic data structures that were energy-efficient and proved these mechanisms were suitable for untrusted Cloud environments [9]. In Mostafa et al [10], it was studied how to achieve a better quality of S-box designing and efficient processing time to reject attacks and thus improve secrecy. A cryptography technique based on the security model that helps the AES-based encryption approach to generate secret keys, which are then used to encrypt or decrypt the messages, was proposed in Awan et al [11].…”

Section: Related Workmentioning

confidence: 99%

Trust Management-Based Service Recovery and Attack Prevention in MANET

Nivedita¹,

Nandhagopal²

2021

Intelligent Automation &Amp; Soft Computing

View full text Add to dashboard Cite

The mobile ad-hoc network (MANET) output is critically impaired by the versatility and resource constraint of nodes. Node mobility affects connection reliability, and node resource constraints can lead to congestion, which makes the design of a routing MANET protocol with quality of service (QoS) very difficult. An adaptive clustering reputation model (ACRM) method is proposed to improve energy efficiency with a cluster-based framework. The proposed framework is employed to overcome the problems of data protection, privacy, and policy. The proposed ACRM-MRT approach that includes direct and indirect node trust computation is introduced along with the master recovery timer (MRT) for achieving an efficient service recovery process, and its service recovery time is calculated through the service execution process. During data transmission in MANET, various types of attacks can occur, of which the Sybil attack is the most dangerous. To address this problem, this paper proposed a method for the detection and prevention of Sybil attacks using a resilient scheme. The proposed method can improve system energy efficiency and address security, safety, and privacy issues of wireless network applications. Finally, the performance of the proposed method is evaluated regarding the time delay, throughput, energy efficiency, control overhead, and detection rate. The simulation results show that the proposed ACRM-MRT method can effectively improve the time delay, throughput, energy efficiency, control overhead, and detection rate compared to the existing methods. Topological change adaptive ad-hoc on-demand multi-path distance vector (TA-AOMDV)and ad-hoc on-demand multi-path distance vector (AOMDV) are simulated on the NS2 platform for the data rate in the range of 4-40 kbps and the number of nodes in the range of 10-100. The proposed method can reduce the service recovery time in the case of faults during service execution and can be used in real-time applications traffics since it is mostly affected by failure through the occurrence of delay and loss of packets.

show abstract

Improved lightweight security approach routing protocol in internet of things

Cited by 7 publications

References 27 publications

Quality of Service aware secure data transmission model for Internet of Things assisted wireless sensor networks

Quality of Service aware secure data transmission model for Internet of Things assisted wireless sensor networks

PathGuard: Trustworthy Routing for Sustainable and Secure IoT-WSN Networks

Trust Management-Based Service Recovery and Attack Prevention in MANET

Contact Info

Product

Resources

About