2,418 research outputs found

    BANZKP: a Secure Authentication Scheme Using Zero Knowledge Proof for WBANs

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    -Wireless body area network(WBAN) has shown great potential in improving healthcare quality not only for patients but also for medical staff. However, security and privacy are still an important issue in WBANs especially in multi-hop architectures. In this paper, we propose and present the design and the evaluation of a secure lightweight and energy efficient authentication scheme BANZKP based on an efficient cryptographic protocol, Zero Knowledge Proof (ZKP) and a commitment scheme. ZKP is used to confirm the identify of the sensor nodes, with small computational requirement, which is favorable for body sensors given their limited resources, while the commitment scheme is used to deal with replay attacks and hence the injection attacks by committing a message and revealing the key later. Our scheme reduces the memory requirement by 56.13 % compared to TinyZKP [13], the comparable alternative so far for Body Area Networks, and uses 10 % less energy

    An Outline of Security in Wireless Sensor Networks: Threats, Countermeasures and Implementations

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    With the expansion of wireless sensor networks (WSNs), the need for securing the data flow through these networks is increasing. These sensor networks allow for easy-to-apply and flexible installations which have enabled them to be used for numerous applications. Due to these properties, they face distinct information security threats. Security of the data flowing through across networks provides the researchers with an interesting and intriguing potential for research. Design of these networks to ensure the protection of data faces the constraints of limited power and processing resources. We provide the basics of wireless sensor network security to help the researchers and engineers in better understanding of this applications field. In this chapter, we will provide the basics of information security with special emphasis on WSNs. The chapter will also give an overview of the information security requirements in these networks. Threats to the security of data in WSNs and some of their counter measures are also presented

    A Survey on Wireless Sensor Network Security

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    Wireless sensor networks (WSNs) have recently attracted a lot of interest in the research community due their wide range of applications. Due to distributed nature of these networks and their deployment in remote areas, these networks are vulnerable to numerous security threats that can adversely affect their proper functioning. This problem is more critical if the network is deployed for some mission-critical applications such as in a tactical battlefield. Random failure of nodes is also very likely in real-life deployment scenarios. Due to resource constraints in the sensor nodes, traditional security mechanisms with large overhead of computation and communication are infeasible in WSNs. Security in sensor networks is, therefore, a particularly challenging task. This paper discusses the current state of the art in security mechanisms for WSNs. Various types of attacks are discussed and their countermeasures presented. A brief discussion on the future direction of research in WSN security is also included.Comment: 24 pages, 4 figures, 2 table

    Intelligent intrusion detection in low power IoTs

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    Security and privacy of data are one of the prime concerns in today’s Internet of Things (IoT). Conventional security techniques like signature-based detection of malware and regular updates of a signature database are not feasible solutions as they cannot secure such systems effectively, having limited resources. Programming languages permitting immediate memory accesses through pointers often result in applications having memory-related errors, which may lead to unpredictable failures and security vulnerabilities. Furthermore, energy efficient IoT devices running on batteries cannot afford the implementation of cryptography algorithms as such techniques have significant impact on the system power consumption. Therefore, in order to operate IoT in a secure manner, the system must be able to detect and prevent any kind of intrusions before the network (i.e., sensor nodes and base station) is destabilised by the attackers. In this article, we have presented an intrusion detection and prevention mechanism by implementing an intelligent security architecture using random neural networks (RNNs). The application’s source code is also instrumented at compile time in order to detect out-of-bound memory accesses. It is based on creating tags, to be coupled with each memory allocation and then placing additional tag checking instructions for each access made to the memory. To validate the feasibility of the proposed security solution, it is implemented for an existing IoT system and its functionality is practically demonstrated by successfully detecting the presence of any suspicious sensor node within the system operating range and anomalous activity in the base station with an accuracy of 97.23%. Overall, the proposed security solution has presented a minimal performance overhead.</jats:p

    Public key cryptography in resource-constrained WSN

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    In this paper we present a detailed review of the works on public key cryptography (PKC) in wireless sensor networks (WSNs). In the early days of sensor networks, public key cryptography was thought to be completely unfeasible considering its computational complexity and energy requirements. By this time, several works have proved that the lightweight versions of many well-known public key algorithms can be utilized in WSN environment. With the expense of a little energy, public key based schemes could in fact be the best choice for ensuring data security in high-security demanding WSN applications. Here, we talk about the notion of public key cryptography in WSN, its applicability, challenges in its implementation, and present a detailed study of the significant works on PKC in WSN

    SWOT : Secure Wireless Object Tracking with Key Renewal Mechanism for Indoor Wireless Sensor Network

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    Tracking system is one of concerning issue in wireless sensor network (WSN) application. The accuracy of the location estimation from nodes is important parameter in tracking system. However, many various attacks try to manipulate the estimated location or try to provide false nodes data transmission. The secure and privacy data sharing of the estimation is also become another priority in WSN. Hence, this paper focuses on employing secure wireless object tracking (SWOT) system which is added by the reliable method in privacy data sharing. By proposing the transmission system based cryptographic mechanism, some parameter data that are required in estimated calculation such as RSSI, coordinates, pathloss exponent (PLE), and estimated distance will be hidden using encryption process. Due to the limited computational device, we propose security scheme without raising computational capability. Layered encryption using AES 128, RSA 2048, MD5 and SHA-1 provide high performance authentication and data encryption services for each nodes. Implementing mobile cooperative tracking scenario refers to previous work, the proposed security scheme is efficient in terms of processing time which could not influenced to the estimated location accuracy. Moreover, the authentication protocol which is adopted from one time password scenario can apply the key renewal mechanism for AES 128 and MD5 algorithm. The experimental results show that SWOT system achieves 75.95 ms processing time using Raspberry Pi devices including trilateration algorithm and security process. Meanwhile, PC server consumes around 82.7 ms for decrypting, calculating and showing the estimated position by modified iterated extended Kalman filter (IEKF) algorithm

    Secure Vehicular Communication Systems: Implementation, Performance, and Research Challenges

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    Vehicular Communication (VC) systems are on the verge of practical deployment. Nonetheless, their security and privacy protection is one of the problems that have been addressed only recently. In order to show the feasibility of secure VC, certain implementations are required. In [1] we discuss the design of a VC security system that has emerged as a result of the European SeVeCom project. In this second paper, we discuss various issues related to the implementation and deployment aspects of secure VC systems. Moreover, we provide an outlook on open security research issues that will arise as VC systems develop from today's simple prototypes to full-fledged systems

    Authenticated Key Agreement with Rekeying for Secured Body Sensor Networks

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    Many medical systems are currently equipped with a large number of tiny, non-invasive sensors, located on, or close to, the patient’s body for health monitoring purposes. These groupings of sensors constitute a body sensor network (BSN). Key management is a fundamental service for medical BSN security. It provides and manages the cryptographic keys to enable essential security features such as confidentiality, integrity and authentication. Achieving key agreement in BSNs is a difficult task. Many key agreement schemes lack sensor addition, revocation, and rekeying properties, which are very important. Our proposed protocol circumvents these shortcomings by providing node rekeying properties, as well as node addition and revocation. It proposes a key distribution protocol based on public key cryptography—the RSA (Rivest, Shamir and Adleman) algorithm, and the DHECC (Diffie-Hellman Elliptic Curve Cryptography) algorithm. The proposed protocol does not trust individual sensors, and partially trusts the base station (hospital). Instead of loading full pair-wise keys into each node, after installation our protocol establishes pair-wise keys between nodes according to a specific routing algorithm. In this case, each node doesn’t have to share a key with all of its neighbors, only those involved in the routing path; this plays a key role in increasing the resiliency against node capture attacks and the network storage efficiency. Finally we evaluate our algorithm from the BSN security viewpoint and evaluate its performance in comparison with other proposals
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