Cross-layer Congestion Control, Routing and Scheduling Design in Ad Hoc Wireless Networks

This paper considers jointly optimal design of crosslayer congestion control, routing and scheduling for ad hoc wireless networks. We first formulate the rate constraint and scheduling constraint using multicommodity flow variables, and formulate resource allocation in networks with fixed wireless channels (or single-rate wireless devices that can mask channel variations) as a utility maximization problem with these constraints. By dual decomposition, the resource allocation problem naturally decomposes into three subproblems: congestion control, routing and scheduling that interact through congestion price. The global convergence property of this algorithm is proved. We next extend the dual algorithm to handle networks with timevarying channels and adaptive multi-rate devices. The stability of the resulting system is established, and its performance is characterized with respect to an ideal reference system which has the best feasible rate region at link layer. We then generalize the aforementioned results to a general model of queueing network served by a set of interdependent parallel servers with time-varying service capabilities, which models many design problems in communication networks. We show that for a general convex optimization problem where a subset of variables lie in a polytope and the rest in a convex set, the dual-based algorithm remains stable and optimal when the constraint set is modulated by an irreducible finite-state Markov chain. This paper thus presents a step toward a systematic way to carry out cross-layer design in the framework of “layering as optimization decomposition” for time-varying channel models

A NOVEL SCHEME FOR DEVIATION DETECTION IN ASYNCHRONOUS DISTRIBUTED PRICING

ABSTRAC

Collaboration Enforcement In Mobile Ad Hoc Networks

Mobile Ad hoc NETworks (MANETs) have attracted great research interest in recent years. Among many issues, lack of motivation for participating nodes to collaborate forms a major obstacle to the adoption of MANETs. Many contemporary collaboration enforcement techniques employ reputation mechanisms for nodes to avoid and penalize malicious participants. Reputation information is propagated among participants and updated based on complicated trust relationships to thwart false accusation of benign nodes. The aforementioned strategy suffers from low scalability and is likely to be exploited by adversaries. To address these problems, we first propose a finite state model. With this technique, no reputation information is propagated in the network and malicious nodes cannot cause false penalty to benign hosts. Misbehaving node detection is performed on-demand; and malicious node punishment and avoidance are accomplished by only maintaining reputation information within neighboring nodes. This scheme, however, requires that each node equip with a tamper-proof hardware. In the second technique, no such restriction applies. Participating nodes classify their one-hop neighbors through direct observation and misbehaving nodes are penalized within their localities. Data packets are dynamically rerouted to circumvent selfish nodes. In both schemes, overall network performance is greatly enhanced. Our approach significantly simplifies the collaboration enforcement process, incurs low overhead, and is robust against various malicious behaviors. Simulation results based on different system configurations indicate that the proposed technique can significantly improve network performance with very low communication cost

Dynamic Adaptation of the Distributed Election Procedure in IEEE 802.16 WMNs

The goal is to propose an algorithm wich gives to every node of the mesh network the possibility to adapt the holdoff time dynamically and than evaluate the performance

Escalonamento de tarefas baseado em leilão de recursos no Middleware Grid-M

Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro Tecnológico. Programa de Pós-Graduação em Ciência da Computação.O escalonamento de tarefas em sistemas distribuídos é uma área que ainda há necessidade de pesquisas, tanto pelas promissoras evoluções previstas nos sistema de Grid e P2P, quanto nas dificuldades de conciliar o funcionamento de todos os tipos e configurações de nodo que podem existir nesse tipo de rede. Dentro da natureza humana, o sistema econômico já é um modelo de negociação consolidado e fundamentado, o que lhe garante confiança em seus conceitos apresentados. Essa confiança é o que se busca para que seja utilizado no escalonamento de tarefas em um Grid computacional. Baseado nesses fundamentos, nesse trabalho procuramos estender as pesquisas que estão sendo feitos na área de Economia Grid, que nada mais é do que a junção dos conceitos de economia com esse tipo de sistema distribuído denominado Grid. Mas especificamente, propomos uma arquitetura em que o escalonamento das tarefas seja realizado de forma justa ao desempenho de cada nodo, atribuindo mais tarefas para os nodos que possuem melhores condições de atender a requisição. Task scheduling in distributed systems is still an area in need of research, as much because of the promising improvements in Grid and other P2P systems as because of the difficulties in conciliating all the kinds of node configurations that are permitted in such systems. In human affairs the economic system is an already consolidated and well founded negotiation model, which gives confidence to its concepts. This trust is what we seek for task scheduling in computational grids. On this basis, this work explores the research being conducted on Grid Economy, which is nothing more than the linking of economy notions with grid systems. More specifically, we describe an architecture in which task scheduling is performed fairly in regards to each node's performance capabilities, assigning more tasks to nodes which are more capable of responding to requests

Resource Management and Pricing in Networks

Resource management is important for network design and deployment. Resource management and allocation have been studied under a wide variety of scenarios --- routing in wired networks, scheduling in cellular networks, multiplexing, switching, and channel access in opportunistic networks are but a few examples. In this dissertation, we revisit resource management in the context of routing and scheduling in multihop wireless networks and pricing in single resource systems. The first issue addressed is of delays in multihop wireless networks. The resource under contention is capacity which is allocated by a joint routing and scheduling algorithm. Delay in wireless networks is a key issue gaining interest with the growth of interactive applications and proliferation of wireless networks. We start with an investigation of the back-pressure algorithm (BPA), an algorithm that activates the schedule with the largest sum of link weights in a timeslot. Though the BPA is throughput-optimal, it has poor end-to-end delays. Our investigation identifies poor routing decisions at low loads as one cause for it. We improve the delay performance of max-weight algorithms by proposing a general framework for routing and scheduling algorithms that allow directing packets towards the sink node dynamically. For a stationary environment, we explicitly formulate delay minimization as a static problem while maintaining stability. We see similar improved delay performance with the advantage of reduced per time-slot complexity. Next, the issue of pricing for flow based models is studied. The increasing popularity of cloud computing and the ease of commerce over the Internet is making pricing a key issue requiring greater attention. Although pricing has been extensively studied in the context of maximizing revenue and fairness, we take a different perspective and investigate pricing with predictability. Prior work has studied resource allocations that link insensitivity and predictability. In this dissertation, we present a detailed analysis of pricing under insensitive allocations. We study three common pricing models --- fixed rate pricing, Vickrey-Clarke-Groves (VCG) auctions, and congestion-based pricing, and provide the expected operator revenue and user payments under them. A pre-payment scheme is also proposed where users pay on arrival a fee for their estimated service costs. Such a mechanism is shown to have lower variability in payments under fixed rate pricing and VCG auctions while generating the same long-term revenue as in a post-payment scheme, where users pay the exact charge accrued during their sojourn. Our formulation and techniques further the understanding of pricing mechanisms and decision-making for the operator

Price-based Resource Allocation in wireless ad hoc networks

The shared-medium multi-hop nature of wireless ad hoc networks poses fundamental challenges to the design of an effective resource allocation algorithm to maximize the aggregated utility of flows, while maintaining basic fairness among multiple flows. When previously proposed scheduling algorithms have been shown to perform well in providing fair shares of bandwidth among single-hop wireless flows, they did not consider multi-hop flows with an endto -end perspective. Moreover, the resource allocation strategies employed in the wireline network can not be applied directly in the context of ad hoc networks due to the unique characteristic of location dependent contention and spatial reuse of the shared wireless channel. In this paper, we propose a price-based resource allocation model to achieve maximized aggregated utility (i.e., social welfare) of flows. Our original contributions are: First, we propose to use maximal cliqueassociated shadow prices for wireless channel access coordination, rather than link-associated price for wireline link access arbitration. Second, we present a new pricing policy for end-to-end multi-hop flow. Using this model, different fairness goals can be realized in ad hoc networks for end-to-end flows. With a twotier distributed and iterative algorithm, scarce channel capacity is allocated fairly among multi-hop flows from an end-to-end perspective, using shadow prices as the mechanism to arbitrate channel access. Through extensive analysis and simulation results, we show that our proposed algorithm is able to fairly distribute resources among multi-hop flows, while simultaneously maximizing the aggregated utility of flows globally

Sécurité dans les réseaux mobiles de nouvelle génération

RÉSUMÉ Les réseaux de nouvelle génération visent à converger les réseaux fixes et mobiles hétérogènes afin d’offrir tous les services à travers un réseau coeur tout IP. Faisant parti du réseau d’accès mobile, un des principaux objectifs du réseau 4G est de permettre une relève ininterrompue entre les réseaux cellulaires et WIFI pour ainsi favoriser l’apprivoisement de services vidéo mobiles exigeant des critères de qualité de service très stricts à moindres coûts. Cependant, l’uniformisation du trafic au niveau de la couche réseau favorise sa centralisation à travers un réseau coeur IP partagé par tous les opérateurs, la rendant ainsi comme une cible vulnérable de choix pour les pirates informatiques. La conception de solutions sécuritaires dans un environnement où les entités ne se connaissent pas à priori s’annonce comme une tâche très ardue. La thèse se penche sur quatre problématiques importantes dans les réseaux de nouvelle génération dont chacune est traitée dans un article distinct. Les deux premiers articles touchent à la sécurité dans un contexte décentralisé, à savoir les réseaux mobiles ad hoc (MANETs), alors que les deux derniers proposent des mécanismes innovateurs pour sécuriser des solutions visant à réduire la consommation de bande passante et d’énergie, en conformité avec le virage vert informatique promu par les opérateurs réseautiques. Plus précisément, le troisième article traite de la sécurisation des flots multicast dans un environnement à haut taux de perte de paquet et le dernier propose une solution d’optimisation de route sécuritaire pour mobile IPv6 (MIPv6) utilisant une version améliorée de l’algorithme de genération d’adresses cryptographiques (CGA) et les extensions de sécurité du système de nom de domaine (DNSSEC). Les systèmes de détection d’intrusion (IDS) pour les MANETs basés sur la réputation des noeuds classifient les participants du réseau selon leur degré de confiance. Cependant, ils partagent tous une vulnérabilité commune : l’impossibilité de détecter et de réagir aux attaques complices. Le premier article propose un IDS qui intègre efficacement le risque de collusion entre deux ou plusieurs noeuds malveillants dans le calcul de la fiabilité d’un chemin. L’algorithme propos´e ne se limite pas qu’au nombre et à la réputation des noeuds intermédiaires formant un chemin, mais intègre également d’autres informations pertinentes sur les voisins des noeuds intermédiaires d’un chemin pouvant superviser le message original et celui retransmis. Le IDS proposé détecte efficacement les noeuds malicieux et complices dans le but de les isoler rapidement du réseau. Les simulations lancées dans divers environnements MANETs contenant une proportion variable d’attaquants complices montrent bien l’efficacité du IDS proposée en offrant un gain en débit considérable comparativement aux solutions existantes. À l’instar de prévenir les comportements égoïstes des noeuds par la menace d’être privés de certaines fonctions, voire même isolés du réseau, due à une baisse de réputation, le second article opte pour un incitatif non-punitif en la monnaie virtuelle plus communément appelée nuglets. Plus précisément, l’article présente un cadre de travail issu de la théorie des jeux basé sur la compétition de Bertrand pour inciter les noeuds intermédiaires à retransmettre les messages selon les requis de QoS demandés par la source. Pour qu’un noeud source envoie ou accède à un flot sensible à la QoS comme par exemple les applications en temps réel, il débute par envoyer un contrat qui spécifie les critères de QoS, sa durée et son prix de réserve. Sur réception du contrat, les noeuds intermédiaires formant une route entre la source et la destination partagent les informations sur eux-mêmes et celles recueillies sur les noeuds voisins, anciens et courants pour estimer la probabilité de bris de contrat ainsi que le nombre de compétiteurs actifs. Ces deux paramètres sont cruciaux dans le processus de fixation des prix. Une fois les réponses de route recueillies, la source choisit la route la moins chère. Le cadre de travail multijoueur proposé, basé sur la compétition de Bertrand avec des firmes asymétriques et ayant accès à de l’information imparfaite, possède un équilibre de Nash en stratégies mixtes dans lequel le profit des firmes est positif et baisse non seulement avec le nombre de compétiteurs, mais aussi avec l’impression d’une précision accrue que les compétiteurs ont sur le coût de production du joueur. Les résultats montrent que l’incertitude sur les coûts augmente le taux de la marge brute et la fluctuation des prix tout en diminuant les chances d’honorer le contrat. Dans un autre ordre d’idée, l’intérêt sans cesse grandissant des opérateurs à converger les réseaux fixes et mobiles dans le but d’offrir une relève sans interruption favorise l’utilisation des applications vidéo mobiles qui surchargeront rapidement leurs réseaux. Dans un contexte du virage vert qui prend de plus en plus d’ampleur dans le domaine des télécommunications, la transmission des flots en multidiffusion (multicast) devient essentiel dans le but de réduire la consommation de bande passante et la congestion du réseau en rejoignant simultanément plusieurs destinataires. La sécurisation des flots en multidiffusion a été largement étudiée dans la littérature antérieure, cependant aucune des solutions proposées ne tient compte des contraintes imposées par les liaisons sans fil et la mobilité des noeuds, en particulier le haut taux de perte de paquets. La nécessité d’un mécanisme de distribution de clés régénératrices efficace et pouvant supporter un grand bassin d’abonnés pour les réseaux mobiles n’aura jamais été aussi urgent avec l’arrivée de la convergence fixe-mobile dans les réseaux 4G. Le troisième article présente deux algorithmes de clés régénératrices basés sur les chaînes de hachage bidirectionnelles pour le protocole de distribution de clés logical key hierarchy (LKH). Ainsi, un membre ayant perdu jusqu’à un certain nombre de clés de déchiffrement consécutives pourrait lui-même les régénérer sans faire la requête de retransmission au serveur de clés. Les simulations effectuées montrent que les algorithmes proposés offrent des améliorations considérables dans un environnement de réseau mobile à taux de perte de paquet, notamment dans le percentage de messages déchiffrés. Le souci d’efficacité énergétique est également présent pour les opérateurs de réseaux cellulaires. D’ailleurs, près de la moitié des abonnements sur Internet proviennent présentement d’unités mobiles et il est attendu que ce groupe d’utilisateurs deviennent le plus grand bassin d’usagers sur Internet dans la prochaine décennie. Pour supporter cette croissance rapide du nombre d’utilisateurs mobiles, le choix le plus naturel pour les opérateurs serait de remplacer mobile IPv4 par MIPv6. Or, la fonction d’optimisation de route (RO), qui remplace le routage triangulaire inefficace de MIP en permettant au noeud mobile (MN) une communication bidirectionnelle avec le noeud correspondant (CN) sans faire passer les messages à travers l’agent du réseau mère (HA), est déficiente au niveau de la sécurité. L’absence d’informations pré-partagées entre le MN et le CN rend la sécurisation du RO un défi de taille. MIPv6 adopte la routabilité de retour (RR) qui est davantage un mécanisme qui vérifie l’accessibilité du MN sur son adresse du réseau mère (HoA) et du réseau visité (CoA) plutôt qu’une fonction de sécurité. D’autres travaux se sont attaqués aux nombreuses failles de sécurité du RR, mais soit leur conception est fautive, soit leurs suppositions sont irréalistes. Le quatrième article présente une version améliorée de l’algorithme de génération cryptographique d’adresse (ECGA) pour MIPv6 qui intègre une chaîne de hachage arrière et offre de lier plusieurs adresses CGA ensemble. ECGA élimine les attaques de compromis temps-mémoire tout en étant efficace. Ce mécanisme de génération d’adresse fait parti du protocole Secure MIPv6 (SMIPv6) proposé avec un RO sécuritaire et efficace grâce à DNSSEC pour valider les CGAs qui proviennent d’un domaine de confiance et qui permet une authentification forte plutôt que l’invariance de source. Le vérificateur de protocoles cryptographiques dans le modèle formel AVISPA a été utilisé pour montrer qu’aucune faille de sécurité n’est présente tout en limitant au maximum les messages échangés dans le réseau d’accès. ----------ABSTRACT Next generation networks aim at offering all available services through an IP-core network by converging fixed-mobile heterogeneous networks. As part of the mobile access network, one of the main objectives of the 4G network is to provide seamless roaming with wireless local area networks and accommodating quality of service (QoS) specifications for digital video broadcasting systems. Such innovation aims expanding video-based digital services while reducing costs by normalizing the network layer through an all-IP architecture such as Internet. However, centralizing all traffic makes the shared core network a vulnerable target for attackers. Design security solutions in such an environment where entities a priori do not know each other represent a daunting task. This thesis tackles four important security issues in next generation networks each in distinct papers. The first two deal with security in decentralized mobile ad hoc networks (MANETs) while the last two focus on securing solutions aiming at reducing bandwidth and energy consumption, in line with the green shift promoted by network operators. More precisely, the third paper is about protecting multicast flows in a packet-loss environment and the last one proposes a secure route optimization function in mobile IPv6 (MIPv6) using an enhanced version of cryptographically generated address (CGA) and domain name service security extensions (DNSSEC). Most intrusion detection systems (IDS) for MANETs are based on reputation system which classifies nodes according to their degree of trust. However, existing IDS all share the same major weakness: the failure to detect and react on colluding attacks. The first paper proposes an IDS that integrates the colluding risk factor into the computation of the path reliability which considers the number and the reputation of nodes that can compare both the source message and the retransmitted one. Also, the extended architecture effectively detects malicious and colluding nodes in order to isolate them and protect the network. The simulations launched in various MANETs containing various proportions of malicious and colluding nodes show that the proposed solution offers a considerable throughput gain compared to current solutions. By effectively selecting the most reliable route and by promptly detecting colluding attacks, the number of lost messages is decreased, and therefore, offering more efficient transmissions. Instead of thwarting selfishness in MANETs by threatening nodes to limit their network functions, the second paper opts for a non-punishment incentive by compensating nodes for their service through the use of virtual money, more commonly known as nuglets. The last paper presents a game-theoretic framework based on Bertrand competition to incite relaying nodes in forwarding messages according to QoS requirements. For a source to send or access QoS-sensitive flows, such as real-time applications, it starts by sending a contract specifying the QoS requirements, its duration and a reservation price. Upon receiving a contract submission, intermediary nodes forming a route between the source and the destination share their current and past collected information on themselves and on surrounding nodes to estimate the probability of breaching the contract and the number of active competitors. Both parameters are crucial in setting a price. Once the source gets the responses from various routes, it selects the most cheapest one. This multiplayer winner-takes-all framework based on Bertrand competition with firms having asymmetric costs and access imperfect information has a mixed-strategy equilibrium in which industry profits are positive and decline not only with the number of firms having an estimated cost below the reservation price but also with the perception of a greater accuracy on a player’s cost that competitors have. In fact,results show that cost uncertainty increases firms’ gross margin rate and the prices fluctuation while making the contract honoring much riskier. On another topic, with the growing interest in converging fixed and mobile networks, mobile applications will require more and more resources from both the network and the mobile device. In a social-motivated context of shifting into green technologies, using multicast transmissions is essential because it lowers bandwidth consumption by simultaneously reaching a group of multiple recipients. Securing multicast flows has been extensively studied in the past, but none of the existing solutions were meant to handle the constraints imposed by mobile scenarios, in particular the high packet-loss rate. The need for a low overhead selfhealing rekeying mechanism that is scalable, reliable and suitable for mobile environments has never been more urgent than with the arrival of fixed-mobile convergence in 4G networks. The second paper presents two self-healing recovery schemes based on the dual directional hash chains for the logical key hierarchy rekeying protocol. This enables a member that has missed up to m consecutive key updates to recover the missing decryption keys without asking the group controller key server for retransmission. Conducted simulations show considerable improvements in the ratio of decrypted messages and in the rekey message overhead in high packet loss environments. The concern of energy efficiency is also present for mobile access network operators. In fact, nearly half of all Internet subscribers come from mobile units at the moment and it is expected to be the largest pool of Internet users by the next decade. The most obvious choice for mobile operators to support more users would be to replace Mobile IP for IPv4 with MIPv6. However, the Route Optimization (RO) function, which replaces the inefficient triangle routing by allowing a bidirectional communication between a mobile node (MN) and the corresponding node (CN) without passing through its home agent (HA), is not secure and has a high overhead. The lack of pre-shared information between the MN and the CN makes security in RO a difficult challenge. MIPv6 adopts the return routability (RR) mechanism which is more to verify the MN reachability in both its home address (HoA) and care-of address (CoA) than a security feature. Other works attempted to solve the multiple security issues in RR but either their design are flawed, or rely on unrealistic assumptions. The third paper presents an enhanced cryptographically generated address (ECGA) for MIPv6 that integrates a built-in backward key chain and offers support to bind multiple logically-linked CGAs together. ECGA tackles the time-memory tradeoff attacks while being very efficient. It is part of the proposed secure MIPv6 (SMIPv6) with secure and efficient RO which uses DNSSEC to validate CGAs from trusted domains and provide strong authentication rather than sender invariance. The AVISPA on-the-fly model checker (OFMC) tool has been used to show that the proposed solution has no security flaws while still being lightweight in signalling messages in the radio network

Private and censorship-resistant communication over public networks

Society’s increasing reliance on digital communication networks is creating unprecedented opportunities for wholesale surveillance and censorship. This thesis investigates the use of public networks such as the Internet to build robust, private communication systems that can resist monitoring and attacks by powerful adversaries such as national governments. We sketch the design of a censorship-resistant communication system based on peer-to-peer Internet overlays in which the participants only communicate directly with people they know and trust. This ‘friend-to-friend’ approach protects the participants’ privacy, but it also presents two significant challenges. The first is that, as with any peer-to-peer overlay, the users of the system must collectively provide the resources necessary for its operation; some users might prefer to use the system without contributing resources equal to those they consume, and if many users do so, the system may not be able to survive. To address this challenge we present a new game theoretic model of the problem of encouraging cooperation between selfish actors under conditions of scarcity, and develop a strategy for the game that provides rational incentives for cooperation under a wide range of conditions. The second challenge is that the structure of a friend-to-friend overlay may reveal the users’ social relationships to an adversary monitoring the underlying network. To conceal their sensitive relationships from the adversary, the users must be able to communicate indirectly across the overlay in a way that resists monitoring and attacks by other participants. We address this second challenge by developing two new routing protocols that robustly deliver messages across networks with unknown topologies, without revealing the identities of the communication endpoints to intermediate nodes or vice versa. The protocols make use of a novel unforgeable acknowledgement mechanism that proves that a message has been delivered without identifying the source or destination of the message or the path by which it was delivered. One of the routing protocols is shown to be robust to attacks by malicious participants, while the other provides rational incentives for selfish participants to cooperate in forwarding messages