Design Methodology for Self-organized Mobile Networks Based

The methodology proposed in this article enables a systematic design of routing algorithms based on schemes of biclustering, which allows you to respond with timely techniques, clustering heuristics proposed by a researcher, and a focused approach to routing in the choice of clusterhead nodes. This process uses heuristics aimed at improving the different costs in communication surface groups called biclusters. This methodology globally enables a variety of techniques and heuristics of clustering that have been addressed in routing algorithms, but we have not explored all possible alternatives and their different assessments. Therefore, the methodology oriented design research of routing algorithms based on biclustering schemes will allow new concepts of evolutionary routing along with the ability to adapt the topological changes that occur in self-organized data networks

FAPRP: A Machine Learning Approach to Flooding Attacks Prevention Routing Protocol in Mobile Ad Hoc Networks

© 2019 Ngoc T. Luong et al. Request route flooding attack is one of the main challenges in the security of Mobile Ad Hoc Networks (MANETs) as it is easy to initiate and difficult to prevent. A malicious node can launch an attack simply by sending an excessively high number of route request (RREQ) packets or useless data packets to nonexistent destinations. As a result, the network is rendered useless as all its resources are used up to serve this storm of RREQ packets and hence unable to perform its normal routing duty. Most existing research efforts on detecting such a flooding attack use the number of RREQs originated by a node per unit time as the threshold to classify an attacker. These algorithms work to some extent; however, they suffer high misdetection rate and reduce network performance. This paper proposes a new flooding attacks detection algorithm (FADA) for MANETs based on a machine learning approach. The algorithm relies on the route discovery history information of each node to capture similar characteristics and behaviors of nodes belonging to the same class to decide if a node is malicious. The paper also proposes a new flooding attacks prevention routing protocol (FAPRP) by extending the original AODV protocol and integrating FADA algorithm. The performance of the proposed solution is evaluated in terms of successful attack detection ratio, packet delivery ratio, and routing load both in normal and under RREQ attack scenarios using NS2 simulation. The simulation results show that the proposed FAPRP can detect over 99% of RREQ flooding attacks for all scenarios using route discovery frequency vector of sizes larger than 35 and performs better in terms of packet delivery ratio and routing load compared to existing solutions for RREQ flooding attacks

A NOVEL ALGORITHM BASED ON TRUST AUTHENTICATION MECHANISMS TO DETECT AND PREVENT MALICIOUS NODES IN MOBILE AD HOC NETWORK

Ad hoc On-demand Distance Vector (AODV) routing protocol is one of the most popular reactive protocol used for Mobile Ad hoc Network, is target of many attack types. Some research works published related to improve of AODV based on digital signature, typical as SAODV and ARAN. However, they have some weakness, malicious can pass over security wall of SAODV by using fake keys, both of SAODV and ARAN can't detect wormhole nodes in hide mode. In additions, detection solutions based on characteristics of attack types have proposed, they only bring about efficiency for each independent type of attack and malicious nodes can join to the discovered route by deliberately giving fake information concerning. This article proposes a trust authentication mechanisms (TAM) using public-key cryptograms RSA and digital certificates (DC) based on X509 standard. TAM allows a mobile node authenticates preceding nodes by checking control route packets through 3 steps: (1) Digital certificates; (2) actual neighbors; and (3) packet integrity authentications. Analysis results confirm that TAM can detect and prevent almost current routing protocol attack types, such as Blackhole/ Sinkhole, Grayhole, Flooding, Whirlwind and participation mode Wormhole attacks. Specially, the simulation results in NS2 show that TAM can detect and prevent successful to 100\% malicious nodes using fake keys for all scenarios based on the number of UDP connections, 100% hide mode wormhole nodes for immobility scenarios and above 99% (the mistaken rate below 1.0%) for all mobility scenarios with 30m/s of maximum speeds and 1hop minimum tunnel length

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

The Internet of Things: a security point of view.

Purpose-- To provide an in-depth overview of the security requirements and challenges for Internet of Things (IoT) and discuss security solutions for various enabling technologies and implications to various applications.Design/methodology/approach-- Security requirements and solutions are analyzed based on a four-layer framework of IoT on sensing layer, network layer, service layer, and application layer. The cross-layer threats are analyzed followed by the security discussion for the enabling technologies including identification and tracking technologies, WSN and RFID, communication, networks, and service management.Finding-- IoT calls for new security infrastructure based on the new technical standards. As a consequence, new security design for IoT shall pay attention to these new standards. Security at both the physical devices and service-applications is critical to the operation of IoT, which is indispensable for the success of IoT. Open problems remain in a number of areas, such as security and privacy protection, network protocols, standardisation, identity management, trusted architecture, etc.Practical implications-- The implications to various applications including SCADA, enterprise systems, social IoT are discussed. The paper will serve as a starting point for future IoT security design and management. The security strategies for IoT should be carefully designed by managing the trade-offs among security, privacy, and utility to provide security in multi-layer architecture of IoT.Originality/value-- The paper synthesizes the current security requirements for IoT and provides a clear framework of security infrastructure based on four layers. Accordingly, the security requirements and potential threats in the four-layer architecture are provided in terms of general devices security, communication security, network security, and application security

Multi-scale location analysis of vulnerabilities and their link to disturbances within digital ecosystems

As computer networks evolve, so too does the techniques used by attackers to exploit new vulnerabilities. Natural ecosystems already have resistant and resilient properties that help protect them from unwanted disturbances despite the existence of different vulnerabilities. Computer networks and their environments can be considered as digital ecosystems with different vulnerabilities, and security attacks can be considered as unwanted disturbances. Analysis of vulnerabilities and attacks from this perspective may open up new ecosystem-based security strategies

From MANET to people-centric networking: Milestones and open research challenges

In this paper, we discuss the state of the art of (mobile) multi-hop ad hoc networking with the aim to present the current status of the research activities and identify the consolidated research areas, with limited research opportunities, and the hot and emerging research areas for which further research is required. We start by briefly discussing the MANET paradigm, and why the research on MANET protocols is now a cold research topic. Then we analyze the active research areas. Specifically, after discussing the wireless-network technologies, we analyze four successful ad hoc networking paradigms, mesh networks, opportunistic networks, vehicular networks, and sensor networks that emerged from the MANET world. We also present an emerging research direction in the multi-hop ad hoc networking field: people centric networking, triggered by the increasing penetration of the smartphones in everyday life, which is generating a people-centric revolution in computing and communications