776 research outputs found
A Survey on Wireless Sensor Network Security
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
RAHIM: Robust Adaptive Approach Based on Hierarchical Monitoring Providing Trust Aggregation for Wireless Sensor Networks
In-network data aggregation has a great impact on the energy consumption in large-scale wireless sensor networks. However, the resource constraints and vulnerable deployment environments challenge the application of this technique in terms of security and efficiency. A compromised node may forge arbitrary aggregation value and mislead the base station into trusting a false reading. In this paper, we present RAHIM, a reactive defense to secure data aggregation scheme in cluster-based wireless sensor networks. The proposed scheme is based on a novel application of adaptive hierarchical level of monitoring providing accuracy of data aggregation result in lightweight manner, even if all aggregator nodes and a part of sensors are compromised in the network
A Study of IEEE 802.15.4 Security Framework for Wireless Body Area Network
A Wireless Body Area Network (WBAN) is a collection of low-power and
lightweight wireless sensor nodes that are used to monitor the human body
functions and the surrounding environment. It supports a number of innovative
and interesting applications, including ubiquitous healthcare and Consumer
Electronics (CE) applications. Since WBAN nodes are used to collect sensitive
(life-critical) information and may operate in hostile environments, they
require strict security mechanisms to prevent malicious interaction with the
system. In this paper, we first highlight major security requirements and
Denial of Service (DoS) attacks in WBAN at Physical, Medium Access Control
(MAC), Network, and Transport layers. Then we discuss the IEEE 802.15.4
security framework and identify the security vulnerabilities and major attacks
in the context of WBAN. Different types of attacks on the Contention Access
Period (CAP) and Contention Free Period (CFP) parts of the superframe are
analyzed and discussed. It is observed that a smart attacker can successfully
corrupt an increasing number of GTS slots in the CFP period and can
considerably affect the Quality of Service (QoS) in WBAN (since most of the
data is carried in CFP period). As we increase the number of smart attackers
the corrupted GTS slots are eventually increased, which prevents the legitimate
nodes to utilize the bandwidth efficiently. This means that the direct
adaptation of IEEE 802.15.4 security framework for WBAN is not totally secure
for certain WBAN applications. New solutions are required to integrate high
level security in WBAN.Comment: 14 pages, 7 figures, 2 table
Security in Wireless Sensor Networks
Wireless Sensor Networks (WSNs) pose a new challenge to network designers in the area of developing better and secure routing protocols. Many sensor networks have mission-critical tasks, so it is clear that security needs to be taken into account at design time. However, sensor networks are not traditional computing devices, and as a result, existing security models and methods are ill suited. The security issues posed by sensor networks represent a rich field of research problems. Improving network hardware and software may address many of the issues, but others will require new supporting technologies. With the recent surge in the use of sensor networks, for example, in ubiquitous computing and body sensor networks (BSNs) the need for security mechanisms has a more important role. Recently proposed solutions address but a small subset of current sensor network attacks. Also because of the special battery requirements for such networks, normal cryptographic network solutions are irrelevant. New mechanisms need to be developed to address this type of network
Secure and Private Data Aggregation in WSN
Data aggregation is an important efficiency mechanism for large scale, resource constrained networks such as wireless sensor networks (WSN). Security and privacy are central for many data aggregation applications: (1) entities make decisions based on the results of the data aggregation, so the entities need to be assured that the aggregation process and in particular the aggregate data they receive has not been corrupted (i.e., verify the integrity of the aggregation); (2) If the aggregation application has been attacked, then the attack must be handled efficiently; (3) the privacy requirements of the sensor network must be preserved.
The nature of both wireless sensor networks and data aggregation make it particularly challenging to provide the desired security and privacy requirements: (1) sensors in WSN can be easily compromised and subsequently corrupted by an adversary since they are unmonitored and have little physical security; (2) a malicious aggregator node at the root of an aggregation subtree can corrupt not just its own value but also that of all the nodes in its entire aggregation subtree; (3) since sensors have limited resourced, it is crucial to achieve the security objectives while adopting only cheap symmetric-key based operations and minimizing communication cost.
In this thesis, we first address the problem of efficient handling of adversarial attacks on data aggregation applications in WSN. We propose and analyze a detection and identification solution, presenting a precise cost-based characterization when in-network data aggregation retains its assumed benefits under persistent attacks. Second, we address the issue of data privacy in WSN in the context of data aggregation. We introduce and analyze the problem of privacy-preserving integrity-assured data aggregation (PIA) and show that there is an inherent tension between preservation of data privacy and secure data aggregation. Additionally, we look at the problem of PIA in publish-subscribe networks when there are multiple, collaborative yet competing subscribers
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