7,244 research outputs found
Intrusion Tolerant Routing Protocols for Wireless Sensor Networks
This MSc thesis is focused in the study, solution proposal and experimental evaluation of security solutions for Wireless Sensor Networks (WSNs). The objectives are centered on intrusion tolerant routing services, adapted for the characteristics and requirements of WSN nodes and operation behavior.
The main contribution addresses the establishment of pro-active intrusion tolerance properties at the network level, as security mechanisms for the proposal of a reliable and secure routing protocol. Those properties and mechanisms will augment a secure communication base layer supported by light-weigh cryptography methods, to improve the global network resilience capabilities against possible intrusion-attacks on the WSN nodes. Adapting to WSN characteristics, the design of the intended security services also pushes complexity away from resource-poor sensor nodes towards resource-rich and trustable base stations.
The devised solution will construct, securely and efficiently, a secure tree-structured routing service for data-dissemination in large scale deployed WSNs. The purpose is to tolerate the damage caused by adversaries modeled according with the Dolev-Yao threat model and ISO X.800 attack typology and framework, or intruders that can compromise maliciously the deployed sensor nodes, injecting, modifying, or blocking packets, jeopardizing the correct behavior of internal network routing processing and topology management.
The proposed enhanced mechanisms, as well as the design and implementation of a new intrusiontolerant routing protocol for a large scale WSN are evaluated by simulation. For this purpose, the evaluation is based on a rich simulation environment, modeling networks from hundreds to tens of thousands of wireless sensors, analyzing different dimensions: connectivity conditions, degree-distribution patterns, latency and average short-paths, clustering, reliability metrics and energy cost
Climate change impacts, vulnerability and adaptation: Sustaining rice production in Bangladesh
The current study has indicated the most prioritized interventions to be taken against climate change
in Bangladeshi rice growing areas prone to drought and salinity events. The suggested methodology
managed to evaluate a wide range of agricultural interventions through a transparent and userfriendly
approach. The input of stakeholders’ views has provided valuable feedback for the
empowerment of the study findings. The presentation of the current policy framework and the
ongoing activities in agriculture offers a broad framework on the challenges and constraints to be
met upon application of the suggested interventions
Intrusion tolerant routing with data consensus in wireless sensor networks
Dissertação para obtenção do Grau de Mestre em
Engenharia InformáticaWireless sensor networks (WSNs) are rapidly emerging and growing as an important
new area in computing and wireless networking research. Applications of WSNs are numerous,
growing, and ranging from small-scale indoor deployment scenarios in homes
and buildings to large scale outdoor deployment settings in natural, industrial, military
and embedded environments. In a WSN, the sensor nodes collect data to monitor physical
conditions or to measure and pre-process physical phenomena, and forward that
data to special computing nodes called Syncnodes or Base Stations (BSs). These nodes
are eventually interconnected, as gateways, to other processing systems running applications.
In large-scale settings, WSNs operate with a large number of sensors – from hundreds
to thousands of sensor nodes – organised as ad-hoc multi-hop or mesh networks, working
without human supervision. Sensor nodes are very limited in computation, storage,
communication and energy resources. These limitations impose particular challenges in
designing large scale reliable and secure WSN services and applications. However, as
sensors are very limited in their resources they tend to be very cheap. Resilient solutions
based on a large number of nodes with replicated capabilities, are possible approaches to
address dependability concerns, namely reliability and security requirements and fault
or intrusion tolerant network services.
This thesis proposes, implements and tests an intrusion tolerant routing service for
large-scale dependable WSNs. The service is based on a tree-structured multi-path routing
algorithm, establishing multi-hop and multiple disjoint routes between sensors and
a group of BSs. The BS nodes work as an overlay, processing intrusion tolerant data consensus
over the routed data. In the proposed solution the multiple routes are discovered,
selected and established by a self-organisation process. The solution allows the WSN
nodes to collect and route data through multiple disjoint routes to the different BSs, with
a preventive intrusion tolerance approach, while handling possible Byzantine attacks and
failures in sensors and BS with a pro-active recovery strategy supported by intrusion and
fault tolerant data-consensus algorithms, performed by the group of Base Stations
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
Seer: Empowering Software Defined Networking with Data Analytics
Network complexity is increasing, making network control and orchestration a
challenging task. The proliferation of network information and tools for data
analytics can provide an important insight into resource provisioning and
optimisation. The network knowledge incorporated in software defined networking
can facilitate the knowledge driven control, leveraging the network
programmability. We present Seer: a flexible, highly configurable data
analytics platform for network intelligence based on software defined
networking and big data principles. Seer combines a computational engine with a
distributed messaging system to provide a scalable, fault tolerant and
real-time platform for knowledge extraction. Our first prototype uses Apache
Spark for streaming analytics and open network operating system (ONOS)
controller to program a network in real-time. The first application we
developed aims to predict the mobility pattern of mobile devices inside a smart
city environment.Comment: 8 pages, 6 figures, Big data, data analytics, data mining, knowledge
centric networking (KCN), software defined networking (SDN), Seer, 2016 15th
International Conference on Ubiquitous Computing and Communications and 2016
International Symposium on Cyberspace and Security (IUCC-CSS 2016
Assessing and augmenting SCADA cyber security: a survey of techniques
SCADA systems monitor and control critical infrastructures of national importance such as power generation and distribution, water supply, transportation networks, and manufacturing facilities. The pervasiveness, miniaturisations and declining costs of internet connectivity have transformed these systems from strictly isolated to highly interconnected networks. The connectivity provides immense benefits such as reliability, scalability and remote connectivity, but at the same time exposes an otherwise isolated and secure system, to global cyber security threats. This inevitable transformation to highly connected systems thus necessitates effective security safeguards to be in place as any compromise or downtime of SCADA systems can have severe economic, safety and security ramifications. One way to ensure vital asset protection is to adopt a viewpoint similar to an attacker to determine weaknesses and loopholes in defences. Such mind sets help to identify and fix potential breaches before their exploitation. This paper surveys tools and techniques to uncover SCADA system vulnerabilities. A comprehensive review of the selected approaches is provided along with their applicability
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