1,092 research outputs found
Middleware Technologies for Cloud of Things - a survey
The next wave of communication and applications rely on the new services
provided by Internet of Things which is becoming an important aspect in human
and machines future. The IoT services are a key solution for providing smart
environments in homes, buildings and cities. In the era of a massive number of
connected things and objects with a high grow rate, several challenges have
been raised such as management, aggregation and storage for big produced data.
In order to tackle some of these issues, cloud computing emerged to IoT as
Cloud of Things (CoT) which provides virtually unlimited cloud services to
enhance the large scale IoT platforms. There are several factors to be
considered in design and implementation of a CoT platform. One of the most
important and challenging problems is the heterogeneity of different objects.
This problem can be addressed by deploying suitable "Middleware". Middleware
sits between things and applications that make a reliable platform for
communication among things with different interfaces, operating systems, and
architectures. The main aim of this paper is to study the middleware
technologies for CoT. Toward this end, we first present the main features and
characteristics of middlewares. Next we study different architecture styles and
service domains. Then we presents several middlewares that are suitable for CoT
based platforms and lastly a list of current challenges and issues in design of
CoT based middlewares is discussed.Comment: http://www.sciencedirect.com/science/article/pii/S2352864817301268,
Digital Communications and Networks, Elsevier (2017
Middleware Technologies for Cloud of Things - a survey
The next wave of communication and applications rely on the new services
provided by Internet of Things which is becoming an important aspect in human
and machines future. The IoT services are a key solution for providing smart
environments in homes, buildings and cities. In the era of a massive number of
connected things and objects with a high grow rate, several challenges have
been raised such as management, aggregation and storage for big produced data.
In order to tackle some of these issues, cloud computing emerged to IoT as
Cloud of Things (CoT) which provides virtually unlimited cloud services to
enhance the large scale IoT platforms. There are several factors to be
considered in design and implementation of a CoT platform. One of the most
important and challenging problems is the heterogeneity of different objects.
This problem can be addressed by deploying suitable "Middleware". Middleware
sits between things and applications that make a reliable platform for
communication among things with different interfaces, operating systems, and
architectures. The main aim of this paper is to study the middleware
technologies for CoT. Toward this end, we first present the main features and
characteristics of middlewares. Next we study different architecture styles and
service domains. Then we presents several middlewares that are suitable for CoT
based platforms and lastly a list of current challenges and issues in design of
CoT based middlewares is discussed.Comment: http://www.sciencedirect.com/science/article/pii/S2352864817301268,
Digital Communications and Networks, Elsevier (2017
A Candour-based Trust and Reputation Management System for Mobile Ad Hoc Networks
The decentralized administrative controlled-nature of mobile ad hoc networks (MANETs) presents security vulnerabilities which can lead to attacks such as malicious modification of packets. To enhance security in MANETs, Trust and Reputation Management systems (TRM) have been developed to serve as measures in mitigating threats arising from unusual behaviours of nodes. In this paper we propose a candour-based trust and reputation system which measures and models reputation and trust propagation in MANETs. In the proposed model Dirichlet Probability Distribution is employed in modelling the individual reputation of nodes and the trust of each node is computed based on the nodeâs actual network performance and the quality of the recommendations it gives about other nodes. Cooperative nodes in our model will be rewarded for expanding their energy in forwarding packets for other nodes or for disseminating genuine recommenda-tions. Uncooperative nodes are isolated and denied the available network resources. We employed the Ruffle algorithm which will ensure that cooperative nodes are allowed to activate sleep mode when their service is not required in forwarding packets for its neighbouring trustworthy nodes. The proposed TRM system enshrines fairness in its mode of operation as well as creating an enabling environment free from bias. It will also ensure a connected and capacity preserving network of trustworthy node
Elliptic Curve Cryptography Based Data Transmission against Blackhole Attack in MANET
Mobile nodes roaming around in the hostile environment of mobile adhoc network (MANET) play the role of router as well as terminal. While acting as a router, a node needs to choose a reliable routing protocol. Besides, an encryption algorithm is needed to secure data to be conveyed through the unfriendly atmosphere while acting as a terminal. We have implemented Elliptic Curve Cryptography (ECC) along with Adhoc On Demand Multipath Distance Vector (AOMDV) routing protocol to secure data transmission against blackhole attack in a MANET. ECC, a public key cryptography that works on discrete logarithm problem with a much smaller key size, has been used to encrypt data packets at source node before transmission. We have used AOMDV, a reliable routing protocol compared to its parent protocol, Adhoc On Demand Distance Vector (AODV), with a multipath extension, for routing. The encrypted packets transferring between nodes via AOMDV, has been proved secured against blackhole attack. The performance of the secured protocol has been analyzed in terms of different performance metrics and in terms of varying number of blackhole attacker nodes
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
Securing routing protocols in mobile ad hoc networks
A Mobile Ad Hoc Network (MANET) is more prone to security threats than other
wired and wireless networks because of the distributed nature of the network.
Conventional MANET routing protocols assume that all nodes cooperate without
maliciously disrupting the operation of the protocol and do not provide defence
against attackers. Blackhole and flooding attacks have a dramatic negative impact
while grayhole and selfish attacks have a little negative impact on the performance
of MANET routing protocols.
Malicious nodes or misbehaviour actions detection in the network is an important
task to maintain the proper routing protocol operation. Current solutions
cannot guarantee the true classification of nodes because the cooperative nature
of the MANETs which leads to false exclusions of innocent nodes and/or good
classification of malicious nodes. The thesis introduces a new concept of Self-
Protocol Trustiness (SPT) to discover malicious nodes with a very high trustiness
ratio of a node classification. Designing and implementing new mechanisms that
can resist flooding and blackhole attacks which have high negative impacts on
the performance of these reactive protocols is the main objective of the thesis.
The design of these mechanisms is based on SPT concept to ensure the high
trustiness ratio of node classification. In addition, they neither incorporate the
use of cryptographic algorithms nor depend on routing packet formats which make
these solutions robust and reliable, and simplify their implementations in different
MANET reactive protocols.
Anti-Flooding (AF) mechanism is designed to resist flooding attacks which relies
on locally applied timers and thresholds to classify nodes as malicious. Although
AF mechanism succeeded in discovering malicious nodes within a small time, it
has a number of thresholds that enable attacker to subvert the algorithm and
cannot guarantee that the excluded nodes are genuine malicious nodes which was
the motivation to develop this algorithm. On the other hand, Flooding Attack
Resisting Mechanism (FARM) is designed to close the security gaps and overcome
the drawbacks of AF mechanism. It succeeded in detecting and excluding more
than 80% of flooding nodes within the simulation time with a very high trustiness
ratio.
Anti-Blackhole (AB) mechanism is designed to resist blackhole attacks and relies
on a single threshold. The algorithm guarantees 100% exclusion of blackhole nodes
and does not exclude any innocent node that may forward a reply packet. Although
AB mechanism succeeded in discovering malicious nodes within a small time, the
only suggested threshold enables an attacker to subvert the algorithm which was
the motivation to develop it. On the other hand, Blackhole Resisting Mechanism
(BRM) has the main advantages of AB mechanism while it is designed to close
the security gaps and overcome the drawbacks of AB mechanism. It succeeded in
detecting and excluding the vast majority of blackhole nodes within the simulation
time
Reliable and efficient data dissemination schemein VANET: a review
Vehicular ad-hoc network (VANET), identified as a mobile ad hoc network MANETs with several added constraints. Basically, in VANETs, the network is established on the fly based on the availability of vehicles on roads and supporting infrastructures along the roads, such as base stations. Vehicles and road-side infrastructures are required to provide communication facilities, particularly when enough vehicles are not available on the roads for effective communication. VANETs are crucial for providing a wide range of safety and non-safety applications to road users. However, the specific fundamental problem in VANET is the challenge of creating effective communication between two fast-moving vehicles. Therefore, message routing is an issue for many safety and non-safety of VANETs applications. The challenge in designing a robust but reliable message dissemination technique is primarily due to the stringent QoS requirements of the VANETs safety applications. This paper investigated various methods and conducted literature on an idea to develop a model for efficient and reliable message dissemination routing techniques in VANET
A Novel Energy Aware Clustering Mechanism with Fuzzy Logic in MANET Environment
A Mobile Ad Hoc Networks (MANETs) comprises of the vast range of devices such as sensors, smart phones, laptops and other mobile devices that connect with each other across wireless networks and collaborate in a dispersed fashion to offer network functions in the absence of a permanent infrastructure. The Cluster Head (CH) selection in a clustered MANET is still crucial for lowering each node's energy consumption and increasing the network's lifetime. However, in existing clustering mechanism trust of the all nodes are presumed those causes increased challenge in the MANET environment. Security is a crucial factor when constructing ad-hoc networks. In a MANET, energy consumption in route optimization is dependent on network resilience and connectivity. The primary objective of this study is to design a reliable clustering mechanism for MANETs that takes energy efficiency into account. For trusted energy-efficient CH in the nodes, a safe clustering strategy integrating energy-efficient and fuzzy logic based energy clustering is proposed to address security problems brought about by malicious nodes and to pick a trustworthy node as CH. To improve the problem findings Bat algorithm (BAT) is integrated with Particle Swarm Optimization (PSO). The PSO technique is inspired because it imitates the sociological characteristics of the flock of the birds through random population. The BAT is a metaheuristic algorithm inspired by microbat echolocation behavior that uses pulse average with global optimization of the average path in the network. Hybrid Particle Swarm Optimization (HPSO) and BAT techniques are applied to identify the best route between the source and destination. According to the simulation results, the suggested Fuzzy logic Particle Swarm Optimization BAT (FLPSO-BAT) technique has a minimum latency of 0.0019 milliseconds, with energy consumption value of 0.09 millijoules, maximal throughput of 0.76 bits per sec and detection rate of 90.5% without packet dropping attack
Detection and Elimination of Fake Access Points in WLAN using Multi Agents Sourcing MethodologyĂâ
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