S. No

Volume-3 Issue-7, January 2017, ISSN: 2347-6389 (Online)
Published By: Blue Eyes Intelligence Engineering & Sciences Publication Pvt. Ltd. 

Page No.

1.

Authors:

Ravi Lodhi, Shiv Kumar, Babita Pathik

Paper Title:

An Attack Proof Trust Model for Secure Path Selection with Data Transmission in MANET

Abstract:  A mobile ad-hoc network (MANET) is a network of mobile nodes which also act as routers and are connected by wireless links. These routers are free to move and organize themselves at random; thus, the network's wireless topology may change rapidly and unpredictably. The dynamic nature of MANETs makes network open to attacks and unreliability. MANETs are vulnerable to various security attacks. Hence, finding a secure and trustworthy end-to-end path in MANETs is a legitimate challenge. Dynamic source routing set of rules is a functional protocol in wireless mobile ad-hoc network (MANET). Data Safekeeping and detection of malicious node in a MANET is an imperative job in any network. To achieve reliability and availability, routing protocols should be powerful against malicious attacks. This paper provides a trust model that detects attacks while data transmission and finding secure route in MANET. Experimentally outcome indicated that system is fined appropriate for confident and enhanced data communication. The structure also accomplishes protected routing to safeguard MANET against malevolent node. The outcomes exposed that the scheme security and throughput of the system is enhanced.

Keywords: MANET, secure routing, malicious attack, Ad hoc Network, Wireless Routing Protocol, trust value.

References:
1.      Amit N Thakre ,Mrs M.Y.Joshi “Performance Analysis of AODV & DSR routing Protocol in Mobile ad-hoc network”, IJCA special Issue on “mobile ad-hoc network”, MANETs 2010
2.      David A. Maltz, “On demand routing in multi-hop wireless mobile ad-hoc network” CMU-CS-01-130, PhD. Desertion, School of computer science Carnegie Mellon University, Pittsburgh PA- 2001.
3.      Tanvi Arora, Amarpreet Kour, Mandeep Singh,” Review of various routing protocols and routing Models for MANRTs”, International Journal of Innovation & Advancement in CS ,IJIACS,ISSN 2347- 8616,Vol.4 Special Issue, MAY 2015.
4.      Elizabeth M Royar and Chai Kunh toh,”A Review of current routing protocol for ad-hoc mobile Wireless network”, Technical report, University of California and Georgia Institute of Technology,USA,1999.
5.      David B Johnson, David A. Maltz , Josh Broch ,”DSR: The dynamic source routing protocol for Multi-Hop wireless Ad-hoc network”, Computer Science Department, Carnegie Mellon University, Pittsburgh,PA 15213-3891,http://www.monarch.cs.cmu.edu.
6.      Antesar M. Shabut, Keshav P. Dahal, Sanat Kumar Bista, and Irfan U. Awan, Recommendation Based Trust Model with an Effective Defence Scheme for MANETs, IEEE TRANSACTIONS ON MOBILE COMPUTING, VOL. 14, NO. 10, OCTOBER 2015, pp-2101-2115
7.      H. Deng, W. Li, and D. Agrawal, “Routing security in wireless ad hoc networks,” IEEE Commun. Mag., vol. 40, no. 10, pp. 70–75, Oct. 2002.
8.      B. Wu, J. Chen, J. Wu, and M. Cardei, “A survey of attacks and countermeasures in mobile ad hoc networks,” in Wireless Network Security. New York, NY, USA: Springer, 2007, pp. 103–135.
9.      N. Pissinou, T. Ghosh, and K. Makki, “Collaborative trust-based secure routing in multihop ad hoc networks,” in Proc. Netw. Netw. Technol., Services, Protocols; Perform. Comput. Commun. Netw.; Mobile Wireless Commun., 2004, pp. 1446–1451.
10.   S. Buchegger and J. Y. Le Boudee, “Self-policing mobile ad hoc networks by reputation systems,” IEEE Commun. Mag., vol. 43, no. 7, pp. 101–107, Jul. 2005.
11.   G. V. Crosby, L. Hesterand, and N. Pissinou, “Location-aware, trust-based detection and isolation of compromised nodes in wireless sensor networks,” Int. J. Netw. Security, vol. 12, no. 2, pp. 107–117, 2011.

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2.

Authors:

Muddasar Ali, M. Ejaz Hassan

Paper Title:

Multi-Area Load Frequency Control (LFC) for Power System using PID Controlled Power System Stabilizer (PSS)

Abstract: Nowadays power demand is increasing continuously and the biggest challenge is to provide good quality of power to the consumer under changing load conditions. For satisfactory operation, the frequency of power system should be kept near constant value. Continuous change in frequency by variation of load is a big challenge for generating unit to compensate it as quickly as possible. Many techniques have been proposed to obtained constant value of frequency and to overcome any deviations. The load-frequency control (LFC) is used to restore the balance between load and generation by means of speed control. The main goal of LFC is to minimize the transient deviations and steady state error to zero in advance. PID is a conventional controller that can be used for LFC to get faster and better results. If conventional Controller and power system stabilizer (PSS) are used together then more effective result can be achieved rather than their individual use for LFC. This paper presents a comparison of Multi-area LFC with and without conventional controller and conventional controller in the presence of power system stabilizer (PSS) using MATLAB/SIMULINK software package. Reduction in settling time, overshoot and frequency deviation was successfully achieved by Using PID controlled Power system Stabilizer (PSS).

Keywords: Load Frequency Control (LFC), Conventional PID Controller, Power system stabilizer (PSS).

References:
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6.      Frequency Control” IEEE International Conference on Power, Energy and Control (ICPEC), 2013.
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15.   Ghazanfar Shahgholian,” Power System Stabilizer Application for Load Frequency Control in Hydro-Electric Power Plant”, Engineering Mathematics, 2017: 21-30.
16.   P. Chauhan, V. Pandya, J. Chauhan, R. Karangia, "Simulation and analysis of ALFC with higher order prime-mover models for single control area", Proceeding of the IEEE/ICEETS, pp.1084-1089, Nagercoil, April 2013.
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5-9

3.

Authors:

S. K. Dora

Paper Title:

Atomic Force Microscopy as a Quantitative Tool for Particle Characterization: From Microns to Angstrom Scale

Abstract: Nanoparticles constitute a crucial and technology intensive area of research and development in the continuous expanding field of nanotechnology. They are becoming increasingly important in many areas, including data storage, plasmonic, photonic, microelectronic, energy, pharmaceutical, biomedical, and cosmetics etc. Using Atomic Force Microscope (AFM), individual particles of varying sizes ranging from µm to sub-nanometer level can be resolved and unlike other microscopy techniques, the AFM offers visualization and quantitative analysis in three dimensions.  In this manuscript, AFM was effectively used to characterize different particles (SnO2, ZnO and TiO2) whose sizes varied between µm to angstrom level on a mica substrate. Further, the possibility of combining AFM and image post processing software Gwyddion, to extract quantitative data even for angstrom size particles are demonstrated.

Keywords:  AFM, Nanopartciles, Quantitative Analysis

References:
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2.        Natural Polymer Drug Delivery Systems: Nanoparticles, Plants, and  Algae, Springer international publishing 2016.
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10.     Bruno Torre, Giovanni Bertoni, Despina Fragouli, Andrea Falqui, Marco Salerno, Alberto Diaspro, Roberto Cingolani & Athanassia  Athanassiou, Scientific Reports 1, Article number: 202 (2011).
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4.

Authors:

Supreet Kaur, Amanpreet Singh, Rajeev Kumar

Paper Title:

Cloud Computing: Risk Analysis on Cloud Security

Abstract: Since the cloud's idea needs surveying of assets with extra cloud owner's, subsequently, business rudiments or other customer basic data is available for cloud and in addition to outcast cloud. In any foundation of distributed computing, a noteworthy component is security since essential is guaranteeing the approved get to and secure lead is ordinary. Standard issues of security still have in distributed computing. However, as large business limits have been extended to the cloud, standard security frameworks are not completely sensible for data and applications in cloud.

Keywords:   Cloud computing

References:
1.         Kang, Seungmin, Bharadwaj Veeravalli, and Khin Mi Mi Aung. "A Security-Aware Data Placement Mechanism for Big Data Cloud Storage Systems." Big Data Security on Cloud (BigDataSecurity), IEEE International Conference on High Performance and Smart Computing (HPSC), and IEEE International Conference on Intelligent Data and Security (IDS), 2016 IEEE 2nd International Conference on. IEEE, 2016.
2.         Gai, Keke, Meikang Qiu, and Sam Adam Elnagdy. "A novel secure big data cyber incident analytics framework for cloud-based cybersecurity insurance." Big Data Security on Cloud (BigDataSecurity), IEEE International Conference on High Performance and Smart Computing (HPSC), and IEEE International Conference on Intelligent Data and Security (IDS), 2016 IEEE 2nd International Conference on. IEEE, 2016.
3.         Chen, Deyan, and Hong Zhao. "Data security and privacy protection issues in cloud computing." Computer Science and Electronics Engineering (ICCSEE), 2012 International Conference on. Vol. 1. IEEE, 2012.
4.         Baker, T., et al. "GreeDi: An energy efficient routing algorithm for big data on cloud." Ad Hoc Networks 35 (2015): 83-96.
5.         Fazio, Maria, et al. "Big data storage in the cloud for smart environment monitoring." Procedia Computer Science 52 (2015): 500-506.
6.         Demirkan, Haluk, and Dursun Delen. "Leveraging the capabilities of service-oriented decision support systems: Putting analytics and big data in cloud." Decision Support Systems 55.1 (2013): 412-421.
7.         Teli, Prasad, Manoj V. Thomas, and K. Chandrasekaran. "Big Data Migration between Data Centers in Online Cloud Environment." Procedia Technology 24 (2016): 1558-1565.
8.         Chang, Victor, and Muthu Ramachandran. "Towards achieving data security with the cloud computing adoption framework." IEEE Transactions on Services Computing 9.1 (2016): 138-151.
9.         Teli, Prasad, Manoj V. Thomas, and K. Chandrasekaran. "Big Data Migration between Data Centers in Online Cloud Environment." Procedia Technology 24 (2016): 1558-1565.
10.      Malhotra, Rahul, and Prince Jain. "Study and comparison of various cloud simulators available in the cloud computing." International Journal 3.9 (2013).

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