Minimizing Eavesdropping Risk by Transmission Power Control in Multihop Wireless Networks

Ubiquitous Intelligence and Computing

Stehr

Gehani

et al. 2011

Abstract. Situation-and resource-aware security is essential for the process control systems, composed of networked entities with sensors and actuators, that monitor and control the national critical infrastructure. However, security cannot be addressed at a single layer because of the inherent dependencies and tradeoffs among crosscutting concerns. Techniques applied at one layer to improve security affect security, timing, and power consumption at other layers. This paper argues for an integrated treatment of security across multiple layers of abstraction (application, middleware, operating system including network stack, and hardware). An important step in realizing this integrated treatment of situationand resource-aware security is first understanding the cross-layer interactions between security policies and then exploiting these interactions to design efficient adaptation strategies (i) to balance security, quality of service, and energy needs, and (ii) to maximize system availability. We propose a novel approach that employs a compositional method within an iterative tuning framework based on lightweight formal methods with dynamic adaptation.

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Security Policies For Different Layersmentioning

confidence: 99%

See 1 more Smart Citation

Ensuring Security and Availability through Model-Based Cross-Layer Adaptation

Ubiquitous Intelligence and Computing

Stehr

Gehani

et al. 2011

“…Transmission power control can be an e↵ective way to minimize the eavesdropping risk in an ad hoc wireless network as proposed in [8], where the w-th eavesdropping risk is defined as the maximum probability of packets being eavesdropped with w adversarial nodes. Using a simple model, the first order eavesdropping risk is bounded below by 1 3 r, where r is the normalized transmission radius with nodes in an arbitrary random network.…”

Section: Hardware Layer -Resource Provisionmentioning

confidence: 99%

Maximizing availability of content in disruptive environments by cross-layer optimization

Gehani

Proceedings of the 28th Annual ACM Symposium on Applied Computing

et al. 2013

Emerging applications such as search-and-rescue operations, CNS (communication, navigation, surveillance), smart spaces, vehicular networks, mission-critical infrastructure, and disaster control require reliable content distribution under harsh network conditions and all kinds of component failures. In such scenarios, potentially heterogeneous networked components -where the networks lack reliable connectionsneed to be managed to improve scalability, performance, and availability of the overall system. Inspired by delayand disruption-tolerant networking, this paper presents a distributed cross-layer monitoring and optimization method for secure content delivery as a first step toward decentralized content-based mobile ad hoc networking. In particular, we address the availability maximization problem by embedding monitoring and optimization within an existing content-distribution framework. The implications of policies at security, caching, and hardware layers that control in-network storage and hop-by-hop dissemination of content then are analyzed to maximize the content availability in disruptive environments. Additional benefits can be obtained by optimizing the control based on continuously observing the response to anomalies caused by cyber-attacks. For example, if excessive (potentially fraudulent) content is injected, the content distribution system can adapt without significantly compromising the availability.

“…Branch and cut or cutting planes techniques are used to know the shortest path with minimum transmission power. Power control problem was not improved due to multicasting in a network [11].…”

Section: Transmission Power Control Protocolmentioning

confidence: 99%

Literature Survey on Power Control Algorithms for Mobile Ad-hoc Network

Singh

Kumar

2010

Wireless Pers Commun

Power control means to adjust transmission power of mobile nodes. Ad-hoc wireless networks will be employed in situations where the communicating nodes will not have access to wired power such as an electricity grid. These nodes vary in size, but many will be small units and thus will have very limited energy cells and energy scavenging abilities. In this paper neural base power control improves energy consumption and throughput.