Hawaii International Conference on System Sciences

In this paper, we present a novel packet delivery mechanism called Multi-Path and Multi-SPEED Routing Protocol (MMSPEED) for probabilistic QoS guarantee in wireless sensor networks. The QoS provisioning is performed in two quality domains, namely, timeliness and reliability. Multiple QoS levels are provided in the timeliness domain by guaranteeing multiple packet delivery speed options. In the reliability domain, various reliability requirements are supported by probabilistic multipath forwarding. These mechanisms for QoS provisioning are realized in a localized way without global network information by employing localized geographic packet forwarding augmented with dynamic compensation, which compensates for local decision inaccuracies as a packet travels towards its destination. This way, MMSPEED can guarantee end-to-end requirements in a localized way, which is desirable for scalability and adaptability to large scale dynamic sensor networks. Simulation results show that MMSPEED provides QoS differentiation in both reliability and timeliness domains and, as a result, significantly improves the effective capacity of a sensor network in terms of number of flows that meet both reliability and timeliness requirements up to 50 percent (12 flows versus 18 flows).

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MMSPEED: multipath Multi-SPEED protocol for QoS guarantee of reliability and. Timeliness in wireless sensor networks

The concept of energy-efficient networking has begun to spread in the past few years, gaining increasing popularity. Besides the widespread sensitivity to ecological issues, such interest also stems from economic needs, since both energy costs and electrical requirements of telcos' and Internet Service Providers' infrastructures around the world show a continuously growing trend. In this respect, a common opinion among networking researchers is that the sole introduction of low consumption silicon technologies may not be enough to effectively curb energy requirements. Thus, for disruptively boosting the network energy efficiency, these hardware enhancements must be integrated with ad-hoc mechanisms that explicitly manage energy saving, by exploiting network-specific features. This paper aims at providing a twofold contribution to green networking. At first, we explore current perspectives in power consumption for next generation networks. Secondly, we provide a detailed survey on emerging technologies, projects, and work-in-progress standards, which can be adopted in networks and related infrastructures in order to reduce their carbon footprint. The considered approaches range from energy saving techniques for networked hosts, to technologies and mechanisms for designing next-generation and energy-aware networks and networking equipment.

Energy Efficiency in the Future Internet: A Survey of Existing Approaches and Trends in Energy-Aware Fixed Network Infrastructures

Space-air-ground integrated network (SAGIN), as an integration of satellite systems, aerial networks, and terrestrial communications, has been becoming an emerging architecture and attracted intensive research interest during the past years. Besides bringing significant benefits for various practical services and applications, SAGIN is also facing many unprecedented challenges due to its specific characteristics, such as heterogeneity, self-organization, and time-variability. Compared to traditional ground or satellite networks, SAGIN is affected by the limited and unbalanced network resources in all three network segments, so that it is difficult to obtain the best performances for traffic delivery. Therefore, the system integration, protocol optimization, resource management, and allocation in SAGIN is of great significance. To the best of our knowledge, we are the first to present the state-of-the-art of the SAGIN since existing survey papers focused on either only one single network segment in space or air, or the integration of space-ground, neglecting the integration of all the three network segments. In light of this, we present in this paper a comprehensive review of recent research works concerning SAGIN from network design and resource allocation to performance analysis and optimization. After discussing several existing network architectures, we also point out some technology challenges and future directions.

Space-Air-Ground Integrated Network: A Survey

The present system includes a computer-networked system that allows mobile subscribers, and others, to submit mobile applications to be analyzed for anomalous and malicious behavior using data acquired during the execution of the application within a highly instrumented and controlled environment for which the analysis relies on per-execution as well as comparative aggregate data across many such executions from one or more subscribers.

Automated behavioral and static analysis using an instrumented sandbox and machine learning classification for mobile security

Multicast communication protocols continue to evolve as more applications take advantage of the efficiencies afforded by the ability of a single source to reliably send data to many users and vice versa. This article continues that evolution and provides analysis on three multicasting protocols (PIM-DM, DVMRP, and ODMRP), adapted to a low Earth orbit satellite network. We provide a simplified overview of multicasting and the three protocols highlighted. We then discuss the implementation details required to adapt the protocols for a satellite network environment, and deviations from the protocols that we found necessary. Finally, we compare the protocol performances in terms of data-to-overhead ratio, received-to-sent ratio, and end-to-end delay.

Adaptation, modeling, and analysis of PIM-DM in a LEO satellite network environment

Within the last 10 years, technological advances have allowed personal wireless communications to become part of our global, information-centric culture Cellular telephones, personal digital assistants, and wireless computer networks allow for tetherless use anytime and almost anywhere These wireless communication advances have quickly matured through three technological generations Currently, wireless communications are considered to be in the third generation (3G) of deployment and are rapidly approaching the fourth (4G) As these wireless technologies advance to meet market demand, careful pre-market technical analysis of these new capabilities must be made to understand potential impact on existing communication systems This paper provides a novel examination into the effects of 4G ultrawide band (UWB) signaling on a 3G wireless fidelity (WiFi) system Through empirical and statistical analyses, we show that the throughput performance of the Wi-Fi system can be negatively impacted by up to 20% We conclude that careful implementation of emerging 4G UWB systems must occur to mitigate the detriments to existing 3G communication systems

An investigation on the effects of emerging 4G transmissions on 3G networks

Todas information and communication network requires a design that is secure to tampering. Traditional performance measures of reliability and throughput must be supplemented with measures of security. Recognition of an adversary who can inflict damage leads toward a game-theoretic model. Through such a formulation, guidelines for network designs and improvements are derived. We opt for a design that is most robust to withstand both natural degradation and adversarial attacks. Extensive computational experience with such a model suggests that a Nash-equilibrium design exists that can withstand the worst possible damage. Most important, the equilibrium is value-free in that it is stable irrespective of the unit costs associated with reliability vs. capacity improvement and how one wishes to trade between throughput and reliability. This finding helps to pinpoint the most critical components in network design. From a policy standpoint, the model also allows the monetary value of information-security to be imputed. © 2009 Wiley Periodicals, Inc. Naval Research Logistics, 2009

Information security: Designing a stochastic-network for throughput and reliability†‡

Detecting network intruders and malicious software is a significant problem for network administrators and security experts. New threats are emerging at an increasing rate, and current signature and statistics-based techniques are failing to keep pace. Intelligent systems that can adapt to new threats are needed to mitigate these new strains of malware as they are released. This research develops a system that uses contextual relationships and information across different layers of abstraction to detect malware based on its qualia, or essence. By looking for the underlying concepts that make a piece of software malicious, this system avoids the pitfalls of static solutions that focus on predefined signatures or anomaly thresholds. This type of qualia-based system provides a framework for developing intelligent classification and decision-making systems for any number of application areas.

Using qualia and multi-layered relationships in malware detection

With the aim to preserve privacy over a communications network, a plethora of anonymous protocols have been proposed along with many empirical investigations into specific adversary attacks over those networks However, few formal methods have been adequately developed and applied towards anonymous systems with the goal of modeling how an adversary reasons about anonymity Indeed, many analyses assume a passive, global adversary but fail to provide a rigorous approach to defining and modeling anonymity concepts to ensure information and data assurance as is customary when formally proving other security aspects of a system Hence, this paper proposes the possibilistic anonymity logical model (PALM) for capturing the knowledge and reasoning ability of an adversary in an anonymous network

Richard A. Raines

Papers

Adaptation, modeling, and analysis of PIM-DM in a LEO satellite network environment

An investigation on the effects of emerging 4G transmissions on 3G networks

Information security: Designing a stochastic-network for throughput and reliability†‡

Using qualia and multi-layered relationships in malware detection

Towards Mathematically Modeling the Anonymity Reasoning Ability of an Adversary