A Taxonomy on Misbehaving Nodes in Delay Tolerant Networks

Delay Tolerant Networks (DTNs) are type of Intermittently Connected Networks (ICNs) featured by long delay, intermittent connectivity, asymmetric data rates and high error rates. DTNs have been primarily developed for InterPlanetary Networks (IPNs), however, have shown promising potential in challenged networks i.e. DakNet, ZebraNet, KioskNet and WiderNet. Due to unique nature of intermittent connectivity and long delay, DTNs face challenges in routing, key management, privacy, fragmentation and misbehaving nodes. Here, misbehaving nodes i.e. malicious and selfish nodes launch various attacks including flood, packet drop and fake packets attack, inevitably overuse scarce resources (e.g., buffer and bandwidth) in DTNs. The focus of this survey is on a review of misbehaving node attacks, and detection algorithms. We firstly classify various of attacks depending on the type of misbehaving nodes. Then, detection algorithms for these misbehaving nodes are categorized depending on preventive and detective based features. The panoramic view on misbehaving nodes and detection algorithms are further analyzed, evaluated mathematically through a number of performance metrics. Future directions guiding this topic are also presented

PROTECT: Proximity-based Trust-advisor using Encounters for Mobile Societies

Many interactions between network users rely on trust, which is becoming particularly important given the security breaches in the Internet today. These problems are further exacerbated by the dynamics in wireless mobile networks. In this paper we address the issue of trust advisory and establishment in mobile networks, with application to ad hoc networks, including DTNs. We utilize encounters in mobile societies in novel ways, noticing that mobility provides opportunities to build proximity, location and similarity based trust. Four new trust advisor filters are introduced - including encounter frequency, duration, behavior vectors and behavior matrices - and evaluated over an extensive set of real-world traces collected from a major university. Two sets of statistical analyses are performed; the first examines the underlying encounter relationships in mobile societies, and the second evaluates DTN routing in mobile peer-to-peer networks using trust and selfishness models. We find that for the analyzed trace, trust filters are stable in terms of growth with time (3 filters have close to 90% overlap of users over a period of 9 weeks) and the results produced by different filters are noticeably different. In our analysis for trust and selfishness model, our trust filters largely undo the effect of selfishness on the unreachability in a network. Thus improving the connectivity in a network with selfish nodes. We hope that our initial promising results open the door for further research on proximity-based trust

Adatbiztonság és adatvédelem a mindent átható számítógépes technológia világában = Security and Privacy Issues in Pervasive Computing

(1) Több ugrásos vezeték nélküli hálózatok biztonsága: Ad hoc és szenzorhálózatokban használt útvonalválasztó protokollok biztonágának analízise, új bizonyíthatóan biztonságos protokollok tervezése (enairA, Secure tinyLUNAR). Új támadás-ellenálló adataggregációs algoritmusok tervezése (RANBAR, CORA) és analízise. Spontán kooperáció kialakulása feltételeinek vizsgálata ad hoc és szenzorhálózatokban, kooperáció ösztönzése késleltetéstűrő ad hoc hálózatokban (Barter). (2) Személyes biztonsági tokenek: A nem-megbízható terminál probléma vizsgálata, feltételes aláírásra épülő megoldás tervezése és analízise. (3) RFID biztonsági és adatvédelmi kérdések: Kulcsfa alapú azonosító-rejtő hitelesítés analízise, a privacy szintjének meghatározása. Optimális kulcsfa tervezése. Új azonosító-rejtő hitelesítő protokoll tervezése és összehasonlítása a kulcsfa alapú módszerrel. (4) Formális biztonsági modellek: Szimulációs paradigmára épülő biztonsági modell útvonalválasztó protokollok analízisére. Támadó-modellek és analízis módszer támadás-ellenálló adataggregáció vizsgálatára. Formális modell kidolgozása a korlátozott számítási képességekkel rendelkező humán felhasználó leírására. Privacy metrika kidolgozása azonosító-rejtő hitekesítő protokollok számára. Játékelméleti modellek a spontán koopráció vizsgálatára ad hoc és szenzor hálózatokban, valamint spam és DoS elleni védelmi mechanizmusok analízisére. | (1) Security of multi-hop wireless networks: Security analysis of routing protocols proposed for mobile ad hoc and sensor networks, development of novel routing protocols with provable security (enairA, Secure tinyLUNAR). Development of novel resilient aggregation algorithms for sensor networks (RANBAR, CORA). Analysis of conditions for the emergence of spontaneous cooperation in ad hoc and sensor networks, novel algorithm to foster cooperation in opportunistic ad hoc networks (Barter). (2) Security tokens: Analysis of the untrusted terminal problem, mitigation by using conditional signature based protocols. (3) RFID security and privacy: Analysis of key-tree based private authentication, novel metrics to measure the level of privacy. Design of optimal key-trees, novel private authentication protocols based on group keys. (4) Formal models: Modeling framework for routing protocols based on the simulation paradigm, proof techniques for analyzing the security of routing. Attacker models and analysis techniques for resilient aggregation in sensor networks. Formal model for representing the limited computing capacity of humans. Metrics for determining the level of privacy provided by private authentication protocols. Game theoretic models for studying cooperation in ad hoc and sensor networks, and for analysisng the performance of spam and DoS protection mechanisms

Performance evaluation of a cooperative reputation system for vehicular delay-tolerant networks

In the last decade, both scientific community and automotive industry enabled communications among vehicles in different kinds of scenarios proposing different vehicular architectures. Vehicular delay-tolerant networks (VDTNs) were proposed as a solution to overcome some of the issues found in other vehicular architectures, namely, in dispersed regions and emergency scenarios. Most of these issues arise from the unique characteristics of vehicular networks. Contrary to delay-tolerant networks (DTNs), VDTNs place the bundle layer under the network layer in order to simplify the layered architecture and enable communications in sparse regions characterized by long propagation delays, high error rates, and short contact durations. However, such characteristics turn contacts very important in order to exchange as much information as possible between nodes at every contact opportunity. One way to accomplish this goal is to enforce cooperation between network nodes. To promote cooperation among nodes, it is important that nodes share their own resources to deliver messages from others. This can be a very difficult task, if selfish nodes affect the performance of cooperative nodes. This paper studies the performance of a cooperative reputation system that detects, identify, and avoid communications with selfish nodes. Two scenarios were considered across all the experiments enforcing three different routing protocols (First Contact, Spray and Wait, and GeoSpray). For both scenarios, it was shown that reputation mechanisms that punish aggressively selfish nodes contribute to increase the overall network performance