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Tinysec: A link layer security architecture for wireless sensor networks
- in Proc of the 2nd Int’l Conf on Embedded Networked Sensor Systems
"... We introduce TinySec, the first fully-implemented link layer security architecture for wireless sensor networks. In our design, we leverage recent lessons learned from design vulnerabilities in security protocols for other wireless networks such as 802.11b and GSM. Conventional security protocols te ..."
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We introduce TinySec, the first fully-implemented link layer security architecture for wireless sensor networks. In our design, we leverage recent lessons learned from design vulnerabilities in security protocols for other wireless networks such as 802.11b and GSM. Conventional security protocols tend to be conservative in their security guarantees, typically adding 16–32 bytes of overhead. With small memories, weak processors, limited energy, and 30 byte packets, sensor networks cannot afford this luxury. TinySec addresses these extreme resource constraints with careful design; we explore the tradeoffs among different cryptographic primitives and use the inherent sensor network limitations to our advantage when choosing parameters to find a sweet spot for security, packet overhead, and resource requirements. TinySec is portable to a variety of hardware and radio platforms. Our experimental results on a 36 node distributed sensor network application clearly demonstrate that software based link layer protocols are feasible and efficient, adding less than 10 % energy, latency, and bandwidth overhead.
TinyECC: A Configurable Library for Elliptic Curve Cryptography in Wireless Sensor Networks
"... Public Key Cryptography (PKC) has been the enabling technology underlying many security services and protocols in traditional networks such as the Internet. In the context of wireless sensor networks, elliptic curve cryptography (ECC), one of the most efficient types of PKC, is being investigated to ..."
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Cited by 146 (1 self)
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Public Key Cryptography (PKC) has been the enabling technology underlying many security services and protocols in traditional networks such as the Internet. In the context of wireless sensor networks, elliptic curve cryptography (ECC), one of the most efficient types of PKC, is being investigated to provide PKC support in sensor network applications so that the existing PKC-based solutions can be exploited. This paper presents the design, implementation, and evaluation of TinyECC, a configurable library for ECC operations in wireless sensor networks. The primary objective of TinyECC is to provide a ready-to-use, publicly available software package for ECC-based PKC operations that can be flexibly configured and integrated into sensor network applications. TinyECC provides a number of optimization switches, which can turn specific optimizations on or off based on developers ’ needs. Different combinations of the optimizations have different execution time and resource consumptions, giving developers great flexibility in integrating TinyECC into sensor network applications. This paper also reports the experimental evaluation of TinyECC on several common sensor platforms, including MICAz, Tmote Sky, and Imote2. The evaluation results show the impacts of individual optimizations on the execution time and resource consumptions, and give the most computationally efficient and the most storage efficient configuration of TinyECC.
Wireless sensor networks: A survey on the state of the art and the 802.15.4 and ZigBee standards
, 2007
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Sensor Networks for Medical Care,”
, 2005
"... Abstract Sensor networks have the potential to greatly impact many aspects of medical care. By outfitting patients with wireless, wearable vital sign sensors, collecting detailed real-time data on physiological status can be greatly simplified. However, there is a significant gap between existing s ..."
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Cited by 109 (1 self)
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Abstract Sensor networks have the potential to greatly impact many aspects of medical care. By outfitting patients with wireless, wearable vital sign sensors, collecting detailed real-time data on physiological status can be greatly simplified. However, there is a significant gap between existing sensor network systems and the needs of medical care. In particular, medical sensor networks must support multicast routing topologies, node mobility, a wide range of data rates and high degrees of reliability, and security. This paper describes our experiences with developing a combined hardware and software platform for medical sensor networks, called CodeBlue. CodeBlue provides protocols for device discovery and publish/subscribe multihop routing, as well as a simple query interface that is tailored for medical monitoring. We have developed several medical sensors based on the popular MicaZ and Telos mote designs, including a pulse oximeter, EKG and motion-activity sensor. We also describe a new, miniaturized sensor mote designed for medical use. We present initial results for the CodeBlue prototype demonstrating the integration of our medical sensors with the publish/subscribe routing substrate. We have experimentally validated the prototype on our 30-node sensor network testbed, demonstrating its scalability and robustness as the number of simultaneous queries, data rates, and transmitting sensors are varied. We also study the effect of node mobility, fairness across multiple simultaneous paths, and patterns of packet loss, confirming the system's ability to maintain stable routes despite variations in node location and data rate.
A survey of security issues in wireless sensor networks
- IEEE Communications Surveys & Tutorials
"... Advances in wireless communication and electronics have enabled the development of low-cost, lowpower, multifunctional sensor nodes. These tiny sensor nodes, consisting of sensing, data processing, and communication components, make it possible to deploy Wireless Sensor Networks (WSNs), which repres ..."
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Cited by 108 (4 self)
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Advances in wireless communication and electronics have enabled the development of low-cost, lowpower, multifunctional sensor nodes. These tiny sensor nodes, consisting of sensing, data processing, and communication components, make it possible to deploy Wireless Sensor Networks (WSNs), which represent a significant improvement over traditional wired sensor networks. WSNs can greatly simplify system design and operation, as the environment being monitored does not require the communication or energy infrastructure associated with wired networks [1]. WSNs are expected to be solutions to many applications, such as detecting and tracking the passage of troops and tanks on a battlefield, monitoring environmental pollutants, measuring traffic flows on roads, and tracking the location of personnel in a building. Many sensor networks have mission-critical tasks and thus require that security be considered [2, 3]. Improper use of information or using forged information may cause unwanted information leakage and provide inaccurate results. While some aspects of WSNs are similar to traditional wireless ad hoc networks, important distinctions exist which greatly affect how security is achieved. The differences
INSENS: Intrusion-tolerant routing in wireless sensor networks”, In:
, 2002
"... Abstract: This paper describes an INtrusion-tolerant routing protocol for wireless SEnsor NetworkS (INSENS). INSENS securely and efficiently constructs tree-structured routing for wireless sensor networks (WSNs). The key objective of an INSENS network is to tolerate damage caused by an intruder who ..."
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Cited by 107 (5 self)
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Abstract: This paper describes an INtrusion-tolerant routing protocol for wireless SEnsor NetworkS (INSENS). INSENS securely and efficiently constructs tree-structured routing for wireless sensor networks (WSNs). The key objective of an INSENS network is to tolerate damage caused by an intruder who has compromised deployed sensor nodes and is intent on injecting, modifying, or blocking packets. To limit or localize the damage caused by such an intruder, INSENS incorporates distributed lightweight security mechanisms, including efficient oneway hash chains and nested keyed message authentication codes that defend against wormhole attacks, as well as multipath routing. Adapting to WSN characteristics, the design of INSENS also pushes complexity away from resource-poor sensor nodes towards resource-rich base stations. An enhanced single-phase version of INSENS scales to large networks, integrates bidirectional verification to defend against rushing attacks, accommodates multipath routing to multiple base stations, enables secure joining/leaving, and incorporates a novel pairwise key setup scheme based on transitory global keys that is more resilient than LEAP. Simulation results are presented to demonstrate and assess the tolerance of INSENS to various attacks launched by an adversary. A prototype implementation of INSENS over a network of MICA2 motes is presented to evaluate the cost incurred. Keywords: Sensor network; Security; Intrusion tolerance; Fault tolerance; Secure routing Article: 1. Introduction Wireless sensor networks (WSNs) are rapidly growing in their importance and relevance to both the research community and the public at large. WSNs are comprised of many small and highly resource-constrained sensor nodes that are distributed in an environment to collect sensor data and forward that data to interested users. Applications of WSNs are rapidly emerging and have become increasingly diverse, ranging from habitat monitoring Security is critical for a variety of sensor network applications, such as home security monitoring and military deployments. In these applications, each sensor node is highly vulnerable to many kinds of attacks, both physical and digital, due to each node"s cost and energy limitations, wireless communication, and exposed location in the field. As a result, mechanisms to achieve both fault tolerance and intrusion tolerance are necessary for sensor networks. Although intrusion tolerance has been studied in the context of wired networks
Key Distribution Mechanisms for Wireless Sensor Networks: a Survey
, 2005
"... this paper is to evaluate the key distribution solutions. Depending on application types, it is possible to discuss: (i) network architectures such as distributed or hierarchical, (ii) communication styles such as pair-wise (unicast), group-wise (multicast) or network-wise (broadcast), (iii) securit ..."
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Cited by 103 (3 self)
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this paper is to evaluate the key distribution solutions. Depending on application types, it is possible to discuss: (i) network architectures such as distributed or hierarchical, (ii) communication styles such as pair-wise (unicast), group-wise (multicast) or network-wise (broadcast), (iii) security requirements such as authentication, confidentiality or integrity, and (iv) keying requirements such as pre-distributed or dynamically generated pair-wise, group-wise or network-wise keys. In this paper, we provide a comparative survey, and taxonomy of solutions. It may not be always possible to give strict quantitative comparisons; however, there are certain metrics, as described in the next section, that can be used to evaluate the solutions. The structure of the paper is as follows: in Section 2 common terms and definitions are given, in Section 3 network models are defined, in Section 4 security vulnerabilities and requirements are discussed, in Sections 5 and 6 key distribution solutions are evaluated, and finally in Section 7 we provide summary and discussions
Wireless sensor network security: A survey
- SECURITY IN DISTRIBUTED, GRID, AND PERVASIVE COMPUTING, YANG XIAO (EDS
, 2006
"... As wireless sensor networks continue to grow, so does the need for effective security mechanisms. Because sensor networks may interact with sensitive data and/or operate in hostile unattended environments, it is imperative that these security concerns be addressed from the beginning of the system de ..."
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Cited by 80 (0 self)
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As wireless sensor networks continue to grow, so does the need for effective security mechanisms. Because sensor networks may interact with sensitive data and/or operate in hostile unattended environments, it is imperative that these security concerns be addressed from the beginning of the system design. However, due to inherent resource and computing constraints, security in sensor networks poses different challenges than traditional network/computer security. There is currently enormous research potential in the field of wireless sensor network security. Thus, familiarity with the current research in this field will benefit researchers greatly. With this in mind, we survey the major topics in wireless sensor network security, and present the obstacles and the requirements in the sensor security, classify many of the current attacks, and finally list their corresponding defensive measures.
MiniSec: a secure sensor network communication architecture
- IN PROC. OF THE 6TH INT’L CONF. ON INFORMATION PROCESSING IN SENSOR NETWORKS
, 2007
"... Secure sensor network communication protocols need to provide three basic properties: data secrecy, authentication, and replay protection. Secure sensor network link layer protocols such as Tiny-Sec [13] and ZigBee [28] enjoy significant attention in the community. However, TinySec achieves low ener ..."
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Cited by 78 (1 self)
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Secure sensor network communication protocols need to provide three basic properties: data secrecy, authentication, and replay protection. Secure sensor network link layer protocols such as Tiny-Sec [13] and ZigBee [28] enjoy significant attention in the community. However, TinySec achieves low energy consumption by reducing the level of security provided. In contrast, ZigBee enjoys high security, but suffers from high energy consumption. MiniSec is a secure network layer that obtains the best of both worlds: low energy consumption and high security. MiniSec has two operating modes, one tailored for single-source communication, and another tailored for multi-source broadcast communication. The latter does not require per-sender state for replay protection and thus scales to large networks. We present a publicly available implementation of MiniSec for the Telos platform, and experimental results demonstrate our low energy utilization.
Node compromise in sensor networks: The need for secure systems
, 2005
"... While sensor network deployment is becoming more commonplace in environmental, business, and military applications, security of these networks emerges as a critical concern. Without proper security, it is impossible to completely trust the results reported from sensor networks deployed outside of co ..."
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Cited by 71 (0 self)
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While sensor network deployment is becoming more commonplace in environmental, business, and military applications, security of these networks emerges as a critical concern. Without proper security, it is impossible to completely trust the results reported from sensor networks deployed outside of controlled environments. Much of the current research in sensor networks has focused on protocols and authentication schemes for protecting the transport of information. However, all of those schemes are useless if an attacker can obtain a node from the network and extract the appropriate information, such as security keys, from it. We focus our research on the area of secure systems. In this paper we demonstrate the ease with which nodes can be compromised as well as show exactly what information can be obtained and how it can be used to disrupt, falsify data within, or eavesdrop on sensor networks. We then suggest mechanisms to detect intrusions into individual sensor nodes. Finally, we come up with security measures that can be implemented in future generation nodes to improve security. 1.