International Journal of Communication Networks and Distributed Systems

Patel, Manish; Aggarwal, Akshai; Chaubey, Nirbhay K.

doi: 10.1504/IJCNDS.2018.094217pmid: N/A

Wireless sensor networks (WSNs) have many limitations in terms of their computational capability, memory, and battery power. In addition, the sensor nodes use insecure wireless communication channels. Thus, WSNs are vulnerable to many types of attacks such as jamming, sinkhole, wormhole, Sybil, and selective forwarding. Among all these attacks, detecting a wormhole attack is very difficult in mobility-based WSNs. In these WSNs, two genuine nodes that are located far apart can become one-hop neighbours for valid reasons. However, the same scenario might indicate the presence of a wormhole attack instead. Differentiating genuine nodes from malicious nodes is a highly challenging task. Our detection method is based on the concept of the rate of change of neighbouring nodes and the length of an alternative path between two nodes. The proposed method does not require any additional hardware such as synchronised clocks or timing information, GPS, or cryptographic methods that require large amounts of computational power. The simulation results indicate that our method has good detection accuracy.

Borkar, Gautam M.; Mahajan, A.R.

doi: 10.1504/IJCNDS.2018.094218pmid: N/A

The security of mobile ad-hoc networks (MANETs) has been getting a great deal of consideration in the field of wireless networking because MANETs are vulnerable to malicious attacks. Secure transmission without node failure in MANETs is a testing issue because of the nonappearance of centralised administration, and openness in the network topology. In order to upgrade the security of network and shield the nodes from vulnerabilities, this paper proposes a highly efficient dual authentication routing scheme which utilises fuzzy logic prediction rules to select the most reliable path and the proposed scheme coordinates with cipher text policy-attribute-based encryption (CP-ABE) for secure data dispersal among the source to destination with game theory-based jammer attack detection model. The performance of the proposed scheme is assessed with respect to different evaluation metrics in different node density levels. The results obtained clearly describes the proposed scheme provides a flexible and feasible decision to select the route that meets the security requirement of data packets transmission in MANETs environment.

Singh, Santar Pal; Sharma, Subhash Chandra

doi: 10.1504/IJCNDS.2018.094219pmid: N/A

In previous years, wireless sensor networks (WSNs) have gained significant consideration from the industrial and research community. However, WSNs uses are restricted by many obstacles. In several applications, monitored data is of no importance if sensor location is unknown because location is needed to spot the network task. So; it is most significant that nodes address the information with the positions. Hence, localisation is an essential process to determine the nodes' location. The localisation methods broadly classified as: range-based and range-free. Range-based methods use actual distance measures whereas range-free schemes use approximate measures. Hence, the range-free methods are a cost effective alternative to range-based because they don't need any added hardware. However, range-free methods have higher localisation error compared to range-based methods. In this paper, we propose a modified algorithm for localisation based on DV-Hop. The simulation results confirm that proposed algorithm improves the results with respect to localisation error and error variance.

Shidik, Guruh Fajar; Azhari, Azhari; Mustofa, Khabib

doi: 10.1504/IJCNDS.2018.094220pmid: N/A

Dynamic virtual machine (VM) consolidation is an alternative solution for managing and optimising energy efficiency in a cloud data centre. This research proposed VM selection method in dynamic VM consolidation based on K-means clustering technique and computational model Markov normal algorithm (K-mMA). The objective of VM selection is to select proper VM, which should be migrated away from the overloaded physical machine and to avoid oversubscribe host. The VM selection method has been tested in simulation condition using CloudSim and PlanetLabs datasets with various conditions of VM instances (homogeneous and heterogeneous). The performance metrics in this research are energy consumption (EC), SLA time per active host (SLATAH), performance degradation due migration (PDM) and SLA violation (SLAV). Results experiment has shown that K-mMA could improve energy efficiency and quality of service (QOS) at cloud data centre significantly. Compared with existing method such as CFS, MMT, RC, and MC the proposed K-mMA could improve efficiency energy in cloud data centre by optimising VM selection problem up to 3.9%, 6.8%, 5.5%, and 5.3% respectively.

Sharma, Rohini; Guleria, Ajay; Singla, R.K.

doi: 10.1504/IJCNDS.2018.094221pmid: N/A

Intrusions in computer networks are handled using misuse or anomaly-based solutions. Deep packet inspection is generally incorporated in solutions for better detection and mitigation but with the growth of networks at exponential speed, it has become an expensive solution and makes real-time detection difficult. In this paper, network flows-based anomaly detection techniques are reviewed. The review starts with motivation behind using network flows and justifies why flow-based anomaly detection is the need of the hour. Flow-based datasets are also investigated and reviewed. The main focus is on techniques and methodologies used by researchers for anomaly detection in computer networks. The techniques reviewed are categorised into five classes: statistical, machine learning, clustering, frequent pattern mining and agent-based. At the end the core research problems and open challenges are discussed.

Rajguru, Abhijit A.; Apte, S.S.

doi: 10.1504/IJCNDS.2018.094222pmid: N/A

Quality of service (QoS) is the main challenging issue in load balancing, task scheduling process in dynamic systems, such as grid system, peer-to-peer system, ad hoc networks, cloud computing system, pervasive computing system, and online social network system. The inefficient task scheduling process reduces QoS parameters, such as energy consumption, throughput, network lifetime, deadline missing ratio and schedule delay time. In this paper, we proposed QoS enhanced distributed load balancing, task scheduling frameworks for wireless networks (WNs) using hybrid optimisation algorithm (EDFHOA). We improve QoS of distributed frameworks by two phase system through an efficient clustering methodology using particle swarm optimisation (PSO) algorithm for load balancing in the first phase. A cuckoo search (CS) algorithm with load balanced for task scheduling in the second phase. The proposed two-phase hybrid algorithms enhance task scheduling, such as latency experienced by the balanced clustering, energy consumption, throughput, network lifetime, efficient resource utilisation and less processing time requirement and highly accurate than fault tolerant task allocation algorithm (FTAOA).

Bisoy, Sukant Kishoro; Pattnaik, Prasant Kumar

doi: 10.1504/IJCNDS.2018.094204pmid: N/A

This work proposes a rate and queue based active queue management (RQ-AQM) algorithm to improve the stability of the network system supporting TCP flows. Classical control theory is employed to analyse the stability of TCP/RQ-AQM system and provide systematic guidelines to select control gain parameters of the RQ-AQM. The performance of the proposed algorithm is evaluated and compared with existing algorithms using network simulator-2 (NS2). Simulation results demonstrate that RQ-AQM achieves stability with faster responsive to the dynamic network conditions. The proposed algorithm obtains better performance with respect to throughput, link utilisation, average delay and achieves fastest settling time than others.