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International Journal of Research in Information Technology (IJRIT)

www.ijrit.com ISSN 2001-5569

An Efficient Data Transmission for Cluster based Wireless Sensor Network

Gullipalli Hymavathi1, Mr.B.G.Obulareddy 2

1PG scholar, Computer Science and Engineering, LakiReddy BaliReddyCollege of Engineering Mylavaram, Andhrapradesh, India

[email protected]

2Associate.Professor, Computer Science and Engineering, LakiReddy BaliReddyCollege of Engineering

Mylavaram, Andhrapradesh, India [email protected]

ABSTRACT

The wireless sensor networks have wide processing capacity in which the data transmission plays a vital role in WSN. Secure data transmission is a critical issue for wireless sensor networks (WSNs). So, we move on CWSN. Clustering is an effective and practical way to enhance the system performance of WSNs. Clustering is a technique employed to increase the various capabilities of a sensor network. We propose two efficient Data Transmission (EDT) protocols for CWSNs, called EDT-IBS and EDT- IBOOS, by using the identity-based digital signature (IBS) scheme and the identity-based online/offline digital signature (IBOOS) scheme, respectively.

Keywords: CWSN, EDT-IBS, EDT-IBOOS, ID-based digital signature, ID-based online/offline digital signature.

1. INTRODUCTION

A wireless sensor network (WSN) is a network system comprised of spatially distributed devices using wireless sensor nodes to monitor physical or environmental conditions, such as sound, temperature, and motion. The individual nodes are capable of sensing their environments, processing the information data locally, and sending data to one or more collection points in a WSN [1].

Efficient data transmission is one of the most important issues for WSNs. Meanwhile, many WSNs are deployed in harsh, neglected, and often adversarial physical environments for certain applications, such as military domains and sensing tasks with trustless surroundings [2]. Secure and efficient data transmission (EDT) is, thus, especially necessary and is demanded in many such practical WSNs.

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2. RESEARCH BACKGROUND

2.1 Cluster Based Wireless Sensor Network

Cluster-based data transmission in WSNs has been investigated by researchers to achieve the network scalability and management, which maximizes node lifetime and reduce bandwidth consumption by using local collaboration among sensor nodes [3]. In a cluster-based WSN (CWSN), every cluster has a leader sensor node, regarded as cluster head (CH). A CH aggregates the data collected by the leaf nodes (non-CH sensor nodes) in its cluster, and sends the aggregation to the base station (BS). The low-energy adaptive clustering hierarchy (LEACH) protocol presented by Heinzelman et al. [4] is a widely known and effective one to reduce and balance the total energy consumption for CWSNs.

To prevent quick energy consumption of the set of CHs, LEACH randomly rotates CHs among all sensor nodes in the network, in rounds. LEACH achieves improvements in terms of network lifetime.

Following the idea of LEACH, a number of protocols have been presented such as APTEEN [5] and PEACH [6], which use similar concepts of LEACH. In this paper, for convenience, we call this sort of cluster-based protocols as LEACH-like protocols.

Researchers have been widely studying CWSNs in the last decade in the literature.

However, the implementation of the cluster-based architecture in the real world is rather complicated [7]. Adding security to LEACH-like protocols is challenging because they dynamically, randomly, and periodically rearrange the network’s clusters and data links [8].

Therefore, providing steady long-lasting node-to-node trust relationships and common key distributions are inadequate for LEACH-like protocols (most existing solutions are provided for distributed WSNs, but not for CWSNs). There are some secure data transmission protocols based on LEACH-like protocols, such as SecLEACH [8], GS-LEACH [9], and RLEACH[10].

Most of them, however, apply the symmetric key management for security, which suffers from a so-called orphan node problem [11]. This problem occurs when a node does not share a pairwise key with others in its preloaded key ring. To mitigate the storage cost of symmetric keys, the key ring in a node is not sufficient for it to share pairwise symmetric keys with all of the nodes in a network.

In such a case, it cannot participate in any cluster, and therefore, has to elect itself as a CH. Furthermore, the orphan node problem reduces the possibility of a node joining with a CH, when the number of alive nodes owning pairwise keys decreases after a long- term operation of the network. Since the more CHs elected by themselves, the more overall energy consumed of the network [4], the orphan node problem increases the overhead of transmission and system energy consumption by raising the number of CHs.

Even in the case that a sensor node does share a pairwise key with a distant CH but not a nearby CH, it requires comparatively high energy to transmit data to the distant CH. The feasibility of the asymmetric key management has been shown in WSNs recently, which compensates the shortage from applying the symmetric key management for security [12].

Digital signature is one of the most critical security services offered by cryptography in asymmetric key management systems, where the binding between the public key and the identification of the signer is obtained via a digital certificate [13].

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2.2 Identity-based digital signature (IBS) scheme

The identity-based digital signature (IBS) scheme [14], based on the difficulty of factoring integers from identity-based cryptography (IBC), is to derive an entity’s public key from its identity information, for example, from its name or ID number. Recently, the concept of IBS has been developed as a key management in WSNs for security. Carman [15] first combined the benefits of IBS and key pre distribution set into WSNs, and some papers appeared in recent years [16], [17], and [18].

2.3 Identity Based Online/Offline Digital Signature

The IBOOS scheme has been proposed to reduce the computation and storage costs of signature processing. A general method for constructing online/offline signature schemes was introduced by Even et al. [19]. The IBOOS scheme could be effective for the key management in WSNs.

Specifically; the offline phase can be executed on a sensor node or at the BS prior to communication, while the online phase is to be executed during communication. Some IBOOS schemes are designed for WSNs afterwards, such as[20] and [21]. The offline signature in these schemes, However, is precomputed by a third party and lacks reusability, thus they are not suitable for CWSNs.

2.4 Contributions and Organization

Recently, we have applied and evaluated the key management of IBS to routing in CWSNs [17]. In this paper, we extend our previous work and focus on providing an efficient secure data communication for CWSNs.

The contributions of this work are as follows: We propose two Efficient data Transmission protocols for CWSNs, called EDT-IBS and EDT-IBOOS, by using the IBS scheme and the IBOOS scheme, respectively.

The key idea of both EDT-IBS and EDT-IBOOS is to authenticate the encrypted sensed data, by applying digital signatures to message packets, which are efficient in communication and applying the key management for security.

In the proposed protocols, secret keys and pairing parameters are distributed and preloaded in all sensor nodes by the BS initially, which overcomes the key escrow problem described in ID-based cryptosystems [22].

Secure communication in EDT-IBS relies on the IDbased cryptography, in which, user public keys are their ID information. Thus, users can obtain the corresponding private keys without auxiliary data transmission, which is efficient in communication and saves energy.

EDT-IBOOS is proposed to further reduce the computational overhead for security using the IBOOS scheme, in which security relies on the hardness of the discrete logarithmic problem. Both EDT-IBS and EDT-IBOOS solve the orphan node problem in the secure data transmission with a symmetric key management.

We show the feasibility of the proposed protocols with respect to the security requirements and analysis against three attack models. Moreover, we compare the

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proposed protocols with the existing secure protocols for efficiency by calculations and simulations, respectively, with respect to both computation and communication.

3. PROTOCOL FEATURES 3.1 System Architecture

Fig. System Architecture

3.2 Workflow of EDT-IBS Protocol and its Operation

• Secure communication in EDT-IBS relies on ID based cryptography in which user public keys are their ID information.

• Thus, users can obtain their corresponding private keys without auxiliary data transmission, which is efficient in communication and saves energy.

• The process of encryption and decryption using the keys generated.

• private key is generated from nodes ID and the mask (msk) function of Base station (BS).

• Similarly, public key is generated from msk function of CH. Using these keys security can be provided to the data.

3.3 Workflow of EDT-IBOOS and its Operation

• EDT-IBOOS is proposed in order to further reduce the computational overhead for security using the IBOOS scheme, in which security relies on the hardness of the discrete logarithmic problem.

• Private Key is generated in similar way as that of IBS, Along with private key online signature is generated for encrypting the data.

• This online signature is obtained using offline signature. While decrypting the data online signature, sensor node ID and message M parameters are used.

3.4 Protocol Characteristics

The protocol characteristics and the features of the proposed EDT-IBS and EDT- IBOOS protocols as follows:

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1) The proposed EDT-IBS and EDT-IBOOS protocols provide secure data transmission for ID-based settings, this protocol use for ID information and digital signature for authentication. EDT-IBS and EDTIBOOS fully solve the orphan-node problem from using the symmetric key management for CWSNs.

2) The proposed secure and efficient data transmission protocols are ID-based signature, uses the ID information and digital signature for verification.

3) In EDT-IBOOS, the offline signature is executed by the sensor nodes .this sensor node has to execute the offline algorithm before it wants to sign on a new message [10].

3.5 IBS AND IBOOS PROTOCOLS FOR CWSNs

A. IBS Scheme for CWSNs. Following operations consists of an IBS scheme implemented for CWSNs, specifically, setup at the BS, key extraction and signature signing at the data sending nodes, and verification at the data receiving nodes:

1) Setup. The BS generates a master key msk and public parameters for the private key generator (PKG), and gives to all sensor nodes.

2) Extraction. Given an ID string, a sensor node generates a private key sec ID associated with the ID using msk.

3) Signature signing. Given a message M, time stamp t and a signing key _, generates a signature SIG by sending the nodes.

4) Verification. Given the ID, M, and SIG, the receiving node outputs “accept” if SIG is valid, and outputs “reject” otherwise.

B. IBOOS Scheme for CWSNs. Following three operations consists of an IBOOS scheme implemented for CWSNs, specifically, setup, key extraction, at the BS, and offline signing at the CHs, the data sending nodes at online signing, and verification at the receiving nodes:

1) Setup. Same as that in the IBS scheme.

2) Extraction. Same as that in the IBS scheme.

3) Offline signing. The CH sensor node generates an offline signature SIG offline, and transmits it to the leaf nodes in its cluster [10].

4. CONCLUSION

In this paper, we first reviewed the data transmission issues and the security issues in CWSNs. The deficiency of the symmetric key management for secure data transmission has been discussed. We then presented two efficient data transmission protocols for CWSNs, EDT-IBS, and EDT-IBOOS.

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V. REFERENCES Journal Papers:

[1] T. Hara, V.I. Zadorozhny, and E. Buchmann, Wireless Sensor Network Technologies for the Information Explosion Era, Studies in Computational Intelligence, vol. 278. Springer-Verlag, 2010.

[2] Y. Wang, G. Attebury, and B. Ramamurthy, “A Survey of Security Issues in Wireless Sensor Networks,”

IEEE Comm. Surveys & Tutorials, vol. 8, no. 2, pp. 2-23, Second Quarter 2006.

[3] A.A. Abbasi and M. Younis, “A Survey on Clustering Algorithms for Wireless Sensor Networks,”

Computer Comm., vol. 30, nos. 14/

15, pp. 2826-2841, 2007.

[4] W. Heinzelman, A. Chandrakasan, and H. Balakrishnan, “An Application-Specific Protocol Architecture for Wireless Microsensor Networks,” IEEE Trans. Wireless Comm., vol. 1, no. 4, pp. 660- 670, Oct. 2002.

[5] A. Manjeshwar, Q.-A. Zeng, and D.P. Agrawal, “An Analytical Model for Information Retrieval in Wireless Sensor Networks Using Enhanced APTEEN Protocol,” IEEE Trans. Parallel & Distributed Systems, vol. 13, no. 12, pp. 1290-1302, Dec. 2002.

[6] S. Yi et al., “PEACH: Power-Efficient and Adaptive Clustering Hierarchy Protocol for Wireless Sensor Networks,” Computer Comm., vol. 30, nos. 14/15, pp. 2842-2852, 2007.

[7] K. Pradeepa, W.R. Anne, and S. Duraisamy, “Design and Implementation Issues of Clustering in Wireless Sensor Networks,” Int’l J. Computer Applications, vol. 47, no. 11, pp. 23-28,2012.

[8] L.B. Oliveira et al., “SecLEACH-On the Security of Clustered Sensor Networks,” Signal Processing, vol. 87, pp. 2882-2895,2007.

[9] P. Banerjee, D. Jacobson, and S. Lahiri, “Security and Performance Analysis of a Secure Clustering Protocol for Sensor Networks”.

[10]K. Zhang, C. Wang, and C. Wang, “A Secure Routing Protocol for Cluster-Based Wireless Sensor Networks Using Group Key

Management,”

[11]S. Sharma and S.K. Jena, “A Survey on Secure Hierarchical Routing Protocols in Wireless Sensor Networks,” Proc. Int’l Conf.

Comm., Computing & Security (ICCCS), pp. 146-151, 2011.

[12] G. Gaubatz et al., “State of the Art in Ultra-Low Power Public Key Cryptography for Wireless Sensor Networks,” Proc. IEEE Third

Int’l Conf. Pervasive Computing and Comm. Workshops (PerCom), pp. 146-150, 2005.

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[13] W. Diffie and M. Hellman, “New Directions in Cryptography,” IEEE Trans. Information Theory, vol.

IT-22, no. 6, pp. 644-654, Nov. 1976.

[14] A. Shamir, “Identity-Based Cryptosystems and Signature Schemes,” Proc. Advances in Cryptology (CRYPTO), pp. 47-53,1985.

[15] D.W. Carman, “New Directions in Sensor Network Key Management,” Int’l J. Distributed Sensor Networks, vol. 1, pp. 3-15, 2005.

[16] R. Yasmin, E. Ritter, and G. Wang, “An Authentication Framework for Wireless Sensor Networks Using Identity-Based Signatures,” Proc.

[17] H. Lu, J. Li, and H. Kameda, “A Secure Routing Protocol for Cluster-Based Wireless Sensor Networks Using ID-Based Digital Signature,”

[18] J. Sun et al., “An Identity-Based Security System for User Privacy in Vehicular Ad Hoc Networks,”

IEEE Trans. Parallel & Distributed

Systems, vol. 21, no. 9, pp. 1227-1239, Sept. 2010.

[19] S. Even, O. Goldreich, and S. Micali, “On-Line/Off-Line Digital Signatures,” Proc. Advances in Cryptology (CRYPTO), pp. 263-275,1990.

[20] S. Xu, Y. Mu, and W. Susilo, “Online/Offline Signatures and Multisignatures for AODV and DSR Routing Security,” Proc. 11th Australasian Conf. Information Security and Privacy, pp. 99-110, 2006.

[21] J. Liu et al., “Efficient Online/Offline Identity-Based Signature for Wireless Sensor Network,” Int’l J.

Information Security, vol. 9, no. 4, pp. 287-296, 2010.

[22] International Journal of Advanced Research in Computer Engineering & Technology (IJARCET) Volume 3 Issue 7, July 2014.

References

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