Two-tier Intrusion Detection System for Mobile Ad Hoc Networks

Nowadays, a commonly used wireless network (i.e. Wi-Fi) operates with the aid of a fixed infrastructure (i.e. an access point) to facilitate communication between nodes when they roam from one location to another. The need for such a fixed supporting infrastructure limits the adaptability of the wireless network, especially in situations where the deployment of such an infrastructure is impractical. In addition, Wi-Fi limits nodes' communication as it only provides facility for mobile nodes to send and receive information, but not reroute the information across the network. Recent advancements in computer network introduced a new wireless network, known as a Mobile Ad Hoc Network (MANET), to overcome these limitations. MANET has a set of unique characteristics that make it different from other kind of wireless networks. Often referred as a peer to peer network, such a network does not have any fixed topology, thus nodes are free to roam anywhere, and could join or leave the network anytime they desire. Its ability to be setup without the need of any infrastructure is very useful, especially in geographically constrained environments such as in a military battlefield or a disaster relief operation. In addition, through its multi hop routing facility, each node could function as a router, thus communication between nodes could be made available without the need of a supporting fixed router or an access point. However, these handy facilities come with big challenges, especially in dealing with the security issues. This research aims to address MANET security issues by proposing a novel intrusion detection system that could be used to complement existing prevention mechanisms that have been proposed to secure such a network. A comprehensive analysis of attacks and the existing security measures proved that there is a need for an Intrusion Detection System (IDS) to protect MANETs against security threats. The analysis also suggested that the existing IDS proposed for MANET are not immune against a colluding blackmail attack due to the nature of such a network that comprises autonomous and anonymous nodes. The IDS architecture as proposed in this study utilises trust relationships between nodes to overcome this nodes' anonymity issue. Through a friendship mechanism, the problems of false accusations and false alarms caused by blackmail attackers in global detection and response mechanisms could be eliminated. The applicability of the friendship concept as well as other proposed mechanisms to solve MANET IDS related issues have been validated through a set of simulation experiments. Several MANET settings, which differ from each other based on the network's density level, the number of initial trusted friends owned by each node, and the duration of the simulation times, have been used to study the effects of such factors towards the overall performance of the proposed IDS framework. The results obtained from the experiments proved that the proposed concepts are capable to at least minimise i f not fully eliminate the problem currently faced in MANET IDS

BLACK HOLE ATTACK IN AODV & FRIEND FEATURES UNIQUE EXTRACTION TO DESIGN DETECTION ENGINE FOR INTRUSION DETECTION SYSTEM IN MOBILE ADHOC NETWORK

Ad-hoc network is a collection of nodes that are capable to form dynamically a temporary network without the support of any centralized fixed infrastructure. Since there is no central controller to determine the reliable & secure communication paths in Mobile Adhoc Network, each node in the ad hoc network has to rely on each other in order to forward packets, thus highly cooperative nodes are required to ensure that the initiated data transmission process does not fail. In a mobile ad hoc network (MANET) where security is a crucial issue and they are forced to rely on the neighbor node, trust plays an important role that could improve the number of successful data transmission. Larger the number of trusted nodes, higher successful data communication process rates could be expected. In this paper, Black Hole attack is applied in the network, statistics are collected to design intrusion detection engine for MANET Intrusion Detection System (IDS). Feature extraction and rule inductions are applied to find out the accuracy of detection engine by using support vector machine. In this paper True Positive generated by the detection engine is very high and this is a novel approach in the area of Mobile Adhoc Intrusion detection system

Cluster-based trust proliferation and energy efficient data collection in unattended wireless sensor networks with mobile sinks

Wireless sensor networks are relatively simple, scalable networks with many applications in the research field. They can provide benefits that a typical wireless network does not, such as ad-hoc distribution, lower costs, and higher flexibility. In a scenario where time is of the essence and dedicated base stations cannot be established, such as a storm or a volcanic eruption, mobile sinks must be used to gather data. We aim to introduce a fast cluster-based mechanism by which nodes can securely connect to one another based on trust and network clustering and begin transmitting data to a collection device while it is available. We also examine two possible attacks on a trust-based network, and present a heuristic solution for minimizing the negative effects of such an attack in an energy-efficient way. Through simulation, we show that this scheme performs better than others in terms of energy efficiency and network lifespan

Wireless Sensor Networks (WSNs): Security and Privacy Issues and Solutions

Wireless sensor networks (WSNs) have become one of the current research areas, and it proves to be a very supportive technology for various applications such as environmental-, military-, health-, home-, and office-based applications. WSN can either be mobile wireless sensor network (MWSN) or static wireless sensor network (SWSN). MWSN is a specialized wireless network consisting of considerable number of mobile sensors, however the instability of its topology introduces several performance issues during data routing. SWSNs consisting of static nodes with static topology also share some of the security challenges of MWSNs due to some constraints associated with the sensor nodes. Security, privacy, computation and energy constraints, and reliability issues are the major challenges facing WSNs, especially during routing. To solve these challenges, WSN routing protocols must ensure confidentiality, integrity, privacy preservation, and reliability in the network. Thus, efficient and energy-aware countermeasures have to be designed to prevent intrusion in the network. In this chapter, we describe different forms of WSNs, challenges, solutions, and a point-to-point multi-hop-based secure solution for effective routing in WSNs

Synoptic analysis techniques for intrusion detection in wireless networks

Current system administrators are missing intrusion alerts hidden by large numbers of false positives. Rather than accumulation more data to identify true alerts, we propose an intrusion detection tool that e?ectively uses select data to provide a picture of ?network health?. Our hypothesis is that by utilizing the data available at both the node and cooperative network levels we can create a synoptic picture of the network providing indications of many intrusions or other network issues. Our major contribution is to provide a revolutionary way to analyze node and network data for patterns, dependence, and e?ects that indicate network issues. We collect node and network data, combine and manipulate it, and tease out information about the state of the network. We present a method based on utilizing the number of packets sent, number of packets received, node reliability, route reliability, and entropy to develop a synoptic picture of the network health in the presence of a sinkhole and a HELLO Flood attacker. This method conserves network throughput and node energy by requiring no additional control messages to be sent between the nodes unless an attacker is suspected. We intend to show that, although the concept of an intrusion detection system is not revolutionary, the method in which we analyze the data for clues about network intrusion and performance is highly innovative

Cooperative intrusion detection for the next generation carrier: ethernet

Tese de mestrado em Informática, apresentada à Universidade de Lisboa, através da Faculdade de Ciências, 2007Hoje em dia os elementos de rede (NEs) da camada 2 do modelo OSI, bridges ou switches, são componentes complexos, com centenas de milhares de linhas de código, que podem ser vulneráveis a ataques, permitindo até a execçuão remota de código. Este trabalho tem como objectivo a criação de um sistema para proteger infra-estruturas de rede Carrier Ethernet de ataques lançados por NEs maliciosos contra o protocolo de gestão de ligações, o Spanning Tree Protocol, e as sua variantes. Na tese é proposto que os NEs sejam equipados com um componente de detecção de intrusões. Cada um dos detectores utiliza um mecanismo da detecção de intrusões baseada em especificacão e inspecciona o comportamento dos outros NEs através da análise das mensagens recebidas. O comportamento correcto dos NEs é descrito tendo em conta a especificação normalizada do protocolo STP. Se existir um desvio entre um comportamento esperado e o actual, o NE é suspeito de ser malicioso. A especificação é estendida com anotações de padrões temporais, de modo a detectar desvios do protocolo por parte dos NEs localmente. Os resultados da detecção local nos NEs são enviados para os outros, para que todos possam correlacionar a informação da detecção, diagnosticar quais são os NEs maliciosos e logicamente removê-los da rede, desligando todas as portas a eles ligadas.Current OSI model layer 2 network elements (NEs, e.g., bridges, switches) are complex hardware and software boxes, often running an operating system, service and administration software, that can be vulnerable to attacks, including to remote code execution inside them. The purpose of this thesis is to present an architecture to protect the Carrier Ethernet network infrastructure from attacks performed by malicious NEs against the link management protocol, Spanning Tree Protocol, and its variations. This thesis proposes that NEs are equipped with an intrusion detection component. Each detector uses a specification-based intrusion detection mechanism in order to inspect the behaviour of other NEs through the analysis of the received messages. The correct behaviour of the NEs is crafted from the standard specification of the STP protocol. If there is a deviation between current and expected behaviour, then the NE is considered to be malicious. The specification is extended with temporal pattern annotations, in order to detect certain deviations from the protocol. The results of the local detection are then transmitted to the other NEs, in order to cooperatively establish a correlation between all the NEs, so that malicious NEs can be logically removed from the network (disconnecting the ports connected to them)

CMI Computing: A Cloud, MANET, and Internet of Things Integration for Future Internet

The wireless communication is making it easier for smart devices to communicate with one another in terms of the network of the Internet of Things. Smart devices are automatically linked and built up a network on their own. But there are more obstacles to safe access within the network itself. Mobile devices such as smart home automation access point, smart washing machines, mobile boards, temperature sensors, color-changing smart lighting, smartphones, wearable devices, and smart appliances, etc. are widespread in our daily lives and is becoming valuable tools with wireless communication abilities that are using specific wireless standards that are commonly used with IEEE 802.11 access points. On the realism of the Internet, security has been perceived as a prominent inhibitor of embracing the cloud paradigm. It is resource storage and management that may lay in any since the cloud environment is a distributed architecture, which place of the world, many concerns have been raised over its vulnerabilities, security threats and challenges. The involvement of various parties has widened these concerns based on each party's perspective and objective. The Cloud point of view we mainly discuss the causes of obstacles and challenges related to security, reliability, privacy, and service availability. The wireless communication Security has been raised as one of the most critical issues of cloud computing where resolving such an issue would result in constant growth in the cloud’s use and popularity. Our purpose of this study is to create a framework of mobile ad hoc network mobility model using cloud computing for providing secure communication among smart devices network for the internet of things in 5G heterogeneous networks. Our main contribution links a new methodology for providing secure communication on the internet of smart devices in 5G. Our methodology uses the correct and efficient simulation of the desired study and can be implemented in a framework of the Internet of Things in 5G