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Contemporary development in wireless sensor networks has haltered the expeditious advances in real-time applications. Numerous routing protocols were proposed for these applications however design issue is real-time guarantee. In this paper, the futuristic in WSN routing protocols is surveyed whilst emphasizing on merits and performance issues. The paper provides a classification of real-time routing protocols and highlights another major issue in this direction, i.e. reliability along with other research issues.

Wireless Sensor Networks, Reliable transport protocols, Real Time Routing

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Anuj Kumar Jain, Sandip Goel, Devendra Prasad, "A Survey of QoS based on Real time and Reliable Routing Protocols for Wireless Sensor Networks," International Journal of Computer Sciences and Engineering, Vol.6, Issue.6, pp.1144-1148, 2018.

Mobile ad hoc networks (MANET) are dynamic, decentralized and infrastructure less network, where at any given point of time nodes can join or leave the network. Due to the property of flexibility and simplicity MANET are widely used in military communication, mobile conferencing and emergency communication. As Ad-hoc networks are autonomous mobile nodes, they form a temporary based network which has no fixed infrastructure. Every node in the network is autonomous hence they act as host as well as router. Due to this nature of MANET, where any node can join or leave the network without any permission, security is the main challenge in such networks. One of the major security issues in MANET is Black hole attack. It occurs when a malicious node referred as black hole joins the network. during the process of discovering route this node acts as if it has route to the destination and takes all the packets into it and does not forward to the desired destination, Instead it drops all the packets. In this paper, we have surveyed on few of the techniques and methodologies for detecting and preventing black hole attack in MANET using AODV routing protocol.

MANET, AODV Routing Protocol, Ad hoc network, Black hole

[1] K. Madhuri, N. K. Viswanath and P.U. Gayatri “Performance Evaluation of AODV under Black
Hole Attack in MANET using NS2”, IEEE International Conference On ICT and Business Industry &
Government (ICTBIG), pp. 1-3, Nov. 2016.
[2] S.R. Deshmukh, P.N. Chatur and N.B. Bhople “AODV-Based Secure Routing Against Black-hole Attack in MANET”, IEEE International Conference On Recent Trends in Electronics, Information & Technology, pp. 1960-1964, ISSN:978-1-5090-0774, May 2016.
[3] G. Bendale and S. shrivastava “An Improved Black-hole Attack Detection and Prevention Method for Wireless Ad-hoc Network”, IEEE International Conference on ICT in Business & Government, pp. 1-7, ISSN: 978-1-5090-5515, Apr. 2016.
[4] A. Siddiqua, K. Sridev and A. A. Khan Mohammad “Preventing Black-hole Attacks in MANET Using Secure Knowledge Algorithm” IEEE International Conference On Signal Processing and Communication Engineering System, Jan2015, pp. 421-425.
[5] C. B. Dutta and U. Biswas “An Energy Aware Black-hole Attack for Multipath AODV ”, IEEE International Conference On Business and Information Management, pp. 142-147, ISSN: 978-1-4799-3264-1, Jan. 2014.
[6] V. Gaikwad(Mohite) and L. Ragha “Security Agents for Detecting and Avoiding Cooperative Black-hole Attacks in MANET”, IEEE International Conference On Applied and Theoretical Computing & Communication Technology, pp. 306-311, ISSN: 978-1-14673-9223, Apr. 2015
[7] S. Jain and Dr. A. Khuteta “Detecting and Overcoming Black-hole Attack in Mobile Ad-hoc Network”, IEEE International Conference On Green Computing and Internet of Things, pp. 225-229, ISSN: 978-1-4673-7910, Jan. 2015.
[8] L. Mejaele and E. O. Ochola “Effect of Varying Node Mobility in the Analysis of Black Hole Attack on MANET Reactive Routing Protocol”, IEEE Information Security for South Africa(ISSA), pp. 62-68, ISSN: 978- 1-5090-2473, Aug. 2016.
[9] H. Kaur and A. singh “Identification and Mitigation of Black Hole Attack in wireless Sensor Networks”,IEEE International Conference On Micro-Electronics and Telecommunication Engineering, pp. 616-619, Sept. 2016.
[10 ]Balachandra and N. p. Shetty “ Interception of Black-Hole Attacks in Mobile AD-HOC Network”
IEEE International Conference On Inventive Computation Technology(ICICT), pp. 1-5, volume-3, Aug. 2016.
[11] B. Singh, D. Srikanth and C.R. Suthikshn kumar, “mitigating effects of Black hole Attack in Mobile Ad- hoc Networks: Military Perspective”, IEEE International Conference On Engineering and Technology, pp. 810-814, ISSN: 978-1-4673-9916, March 2016.
[12] A. Dorri and H. Nikdel “A New Approach for Detecting and Eliminating Cooperative Black hole node in MANET”, IEEE Conference On Information and Knowledge Technology, pp. 1-6, ISSN: 978-1-4673-7485-9, May 2015.
[13] H. Moudni, M. M. Mouncif and B. El Hadadi “Modified AODV Routing Protocol to Improve Security and performance against Black Hole Attack”, IEEE International Conference On Information Technology for Organizations Development, pp. 1-7, ISSN: 978-1-4673-7689, Apr. 2016.
[14] F. Thachil and K. C. Shet “A Trust Based Approach for AODV protocol to Mitigate Black-hole attack in MANET”, IEEE International Conference in Computing Science, pp. 281-285, Sept.2012.
[15] R. Yerneni and A. K. Sarje “Secure AODV Protocol to mitigate Black Hole Attack in Mobile Ad-hoc Networks”, IEEE International Conference on Computing Communication and Networking Technologies(ICCCNT), pp. 1-5, July 2012

Pranjul Sarathe, Neeraj Shrivastava, "A Review on Different Methods to Prevent Black Hole Attack in MANET," International Journal of Computer Sciences and Engineering, Vol.6, Issue.6, pp.1149-1156, 2018.

Social Network Analysis is one of the extensively analysed and researched areas in the current era. Due to the advancements in technology and hence the incremented count of Internet users, this field has gained remarkable attention in the past few years. The massive, noisy and unstructured nature of online datasets that are generating every minute from social networking profiles, blogs, comments, reviews in form of thumbs up and thumbs down, star ratings has posed great challenges for researchers and analysts in order to mine quality facts. The outcomes from the mining of this data expedite and improve the decision forming process. This paper outlines the different issues and the subfields that can be considered as part of Social Network Analysis and need to be studied .It also presents the related algorithms and techniques defined earlier.

Data Mining, Influence Propagation, Recommender System, Opinion Mining, Link Analysis, Community Detection, Sentiment Analysis

[1] Mariam Adedoyin-Olowe, Mohamed Medhat Gaber, Frederic Stahl, ‘A Survey of Data Mining Techniques for Social Network Analysis’, School of Computing Science and Digital Media, Robert Gordon University Aberdeen, AB10 7QB, UK, School of Systems Engineering, University of Reading PO Box 225, Whiteknights, Reading, RG6 6AY, UK
[2] G Nandi, A Das, ‘Online Social Network Mining: Current Trends and Research Issues’, IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308
[3] Daniel Amo Filva, Francisco J. Garcia Penalvo, Marc Alier Forment, ‘A Social Network Analysis Approaches for Social Learning Support’, Proceedings of the Second International Conference on Technological Ecosystems for Enhancing Multiculturality (TEEM 2014)(Salamanca, Spain, October 1-3, 2014) (pp. 269-274). New York, NY, USA: ACM. doi:10.1145/2669711.2669910
[4] Said A. Salloum, Mostafa, Al-Emran, Azza Abdel Monem, Khaled Shaalan, ‘A Survey of Text Mining in Social Media: Facebook and Twitter Perspectives’, Advances in Science, Technology and Engineering Systems Journal Vol. 2, No. 1, 127-133 (2017)
[5] Burke, R, ’Hybrid recommender systems: Survey and experiments’, User Modelling and User-Adapted Interaction, 12(4):331–370, 2002.
[6] Mohammad Al Hasan, Vineet Chaoji, Saeed Salem, and Mohammed Zaki,’ Link Prediction using Supervised Learning’, Rensselaer Polytechnic Institute, Troy, New York 12180
[7] Walaa Medhat , Ahmed Hassan, Hoda Korashy, ‘Sentimental Analysis algorithms and application: A survey’, Ain Shams Engineering Journal, 2090-4479 _ 2014 Production and hosting by Elsevier B.V.
[8] Devika M D, Sunitha C, Amal Ganesh,’ Sentiment Analysis: A Comparative Study On Different Approaches’, Science Direct, Fourth International Conference on Recent Trends in Computer Science & Engineering, Chennai, Tamil Nadu, India, Procedia Computer Science 87 ( 2016 ) 44 – 49
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[10]Social-Network-Illustration in Concepts & Ideas|People|Technology,Preview-124730,Vexels.com
[11] Suqi Cheng, Huawei Shen, Junming Huang, Guoqing Zhang, Xueqi Cheng, ‘StaticGreedy: Solving the Scalability-Accuracy Dilemma in Influence Maximization’, Research Centre of Web Data Sciences & Engineering Institute of Computing Technology, Chinese Academy of Sciences
[12] Liyan Dong,1,2 Yongli Li,3 Han Yin,1,2 Huang Le,1,2 and Mao Rui,’ The Algorithm of Link Prediction on Social Network’, Hindawi Publishing Corporation Mathematical Problems in Engineering Volume 2013, Article ID 125123
[13] C.Amali Pushpam, J.Gnana Jayanthi,’ Overview on Data Mining in Social Media’, © 2017, IJCSE All Rights Reserved 147International Journal of Computer Sciences and Engineering, Volume-5 Issue-11, E-ISSN: 2347-2693

Deepti Gupta, "Investigating into the Emerging Research Areas of Social Network Analysis," International Journal of Computer Sciences and Engineering, Vol.6, Issue.6, pp.1157-1161, 2018.

This paper presents our effort of using model-driven engineering to establish insulin pump software based on the generic PCA reference model. The reference model was first translated into a network of timed automata using the UPPAAL tool. We applied the TIMES tool to automatically generate platform-independent code as its preliminary implementation. The code is then interface with pump hardware, software and deployed onto a real PCA pump. Experiments show that the code worked correctly and effectively with the real pump. To check the compatibility and rules violation we have also developed a test stub to check the consistency between the proposed model and the code through conformance testing. Challenges faced and their resolution during our work is also discussed in this paper.

Model based engineering, Code Synthesis, Insulin Pump, TIMES Tool

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[13] Frank Truyen, “The Fast Guide to Model Driven Architecture The Basics of Model Driven Architecture (MDA)”, Cephas Consulting Corp January 2006.
[14] Christen Rees et. al., “Recommendations for Insulin Dose Calculator Risk Management”, Journal of Diabetes Science and Technology 2014 Jan; 8(1): 142–149.
[15] Brooke H. McAdams and Ali A. Rizvi, “An Overview of Insulin Pumps and Glucose Sensors for the Generalist”, Journal of Clinical Medicine2016 Jan; 5(1): 5.
[16] Levon Gevorkov , Anton Rassõlkin , Ants Kallaste , Toomas Vaimann, “Simulink based model for flow control of a centrifugal pumping system”, 25th International Workshop on Electric Drives: Optimization in Control of Electric Drives (IWED), PP-1-4, Feb, 2018.
[17] Alessio Bucaioni, Lorenzo Addazi, Antonio Cicchetti, Federico Ciccozzi, Romina Eramo, Saad Mubeen, Mikael Sjödin, “MoVES: A Model-Driven Methodology for Vehicular Embedded Systems” , IEEE Access PP- 6424-6445, Jan 2018.
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[19] K. J. Modi, D.P. Chowdhury, “A Framework for Management and Monitoring of QoS-based Cloud Services”, International Journal of Computer Sciences and engineering, Vol.5, Issue.5, pp.115-119, May-2017.

Vishal Bhatt, Kapil Kumar Gupta, Nitin Goel, "A Model Driven Approach for Risk Reduction in Insulin Pump," International Journal of Computer Sciences and Engineering, Vol.6, Issue.6, pp.1162-1170, 2018.

Big Data is a term which mainly focuses on the use of techniques to capture, process, analyze and visualize large datasets in a reasonable time span. Different platforms, tools and software used for this purpose are known as “Big Data technologies”. Hadoop is an open-source framework used to process large amount of data in an inexpensive and efficient way by using MapReduce which is used for processing and generating large data sets with a parallel, distributed algorithm on a cluster. Job scheduling is a key factor for achieving high performance in big data processing. The paper presents a comparative study of job scheduling algorithms in Hadoop environment. In addition, this paper describes the features, advantages and disadvantages of various Hadoop scheduling algorithms such as FIFO, Fair, Capacity, LATE, Energy-aware, Resource-aware, Matchmaking, Delay and Deadline Constraints.

Big Data, Hadoop, Mapreduce, Distributed Systems, Hadoop Scheduling Algorithms

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[11] Jiong Xie, FanJun Meng, HaiLong Wang, HongFang Pan, JinHong Ceng, Xiao Qin, “Research on scheduling scheme for hadoop clusters”, Procedia Comput. Sci., Vol. 18, pp. 468-471, 2013.
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[14] S. Divya, R. Kanya Rajesh, Rini Mary Nithila I, Vinothini M, “Big data analysis and its scheduling policy - Hadoop”, IOSR J. Computer Engineering (IOSR-JCE), Vol. 17, Issue 1, pp. 36-40, 2015.
[15] B.P Andrews, A. Binu, “Survey on Job Schedulers in Hadoop Cluster”, IOSR Journal of Computer Engineering, pp. 46-50, 2013.
[16] M. Pastorelli, A. Barbuzzi, D. Carra, M. Dell’Amico and P. Michiardi, “Practical size based scheduling for MapReduce workloads”, IEEE International Conference on Big Data, pp. 51-59, 2013.
[17] J.C. Anjos, I. Carrera, W. Kolberg, A.L. Tibola, L.B. Arantes, C.R. Geyer, MRA, “Scheduling and data placement on MapReduce for heterogeneous environments”, Future Generation Computer System, Vol. 42, pp. 22–35, 2015.
[18] Willis Lang, Jignesh M. Patel, “Energy Management for MapReduce Clusters”, Department of Computer Sciences, University of Wisconsin Madison, USA, 2010.
[19] M. Yong, Shiwali Mohan, Nitin Garegrat, "Towards a resource aware scheduler in hadoop", ICWS, pp. 102-109, 2009.
[20] Dazhao Cheng, Jia Rao, Changjun Jiang, Xiaobo Zhou, “Resource and deadline aware job scheduling in dynamic hadoop clusters”, IEEE 29th International Parallel and Distributed Processing Symposium, ISBN 978-1-4799-8649-1, 2015.
[21] C. He, Ying Lu, David Swanson, "Matchmaking: A new MapReduce scheduling technique", IEEE 3rd International Conference, Athens, Greece, 2011.
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[25] Mohd Usama, Mengchen Liu, Min Chen, “Job schedulers for Big data processing in Hadoop environment: testing real-life schedulers using benchmark programs”, Digital Communications and Networks, Vol. 3, Issue 4, pp. 260–273, 2017.

Vanika, Aman Kumar Sharma, "A Speculative Study on Hadoop Scheduling Algorithms," International Journal of Computer Sciences and Engineering, Vol.6, Issue.6, pp.1171-1176, 2018.

In the field of Artificial Intelligence (AI), Deep Learning is a method falls in the wider family of Machine Learning algorithms that works on the principle of learning. Deep learning models basically works without human intervention and they are equivalent, and sometimes even, superior than humans. With the rise of emerging technology, deep learning draws an attention by many researchers and it is widely used in several areas including image, sound and text analysis. The paper discussed deep learning background, types of deep learning architectures and applications from different domains where researchers used deep learning models successfully.

Deep Learning, Convolutional Neural Network, Deep Belief Network, Recurrent Neural Network

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Sanskruti Patel, Atul Patel, "Deep Leaning Architectures and its Applications: A Survey," International Journal of Computer Sciences and Engineering, Vol.6, Issue.6, pp.1177-1183, 2018.

A system used for backing files, storing and retrieving. The temporary storage is created for storing the files using hard disk. The operating system makes the backup of all the details. The operating system will be compared and if it same the data and information will be combined. Otherwise distracted information is stored in common file and retrieved. The network speed and easy access of data will improve the system performance. Administrator can also schedule the system based on the report of SPM. SPM also provides graphical representation to evaluate the performance of the system easily. Operating system is to provide efficient use of resources. The performance of the system is fully depends on the kernel of the system. The evaluation of performance will increase the opportunities for work team. Networking speed will also be increased and good maintenance of storage. Software provides information provided to improve the system performance and sharing, rewriting the storage area to earn better result. The Storage capacity of the system is improved with high speed and low cost.

SPM, Storage, Hard disk, Performance

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S. Girija, "Retrieving System Performance," International Journal of Computer Sciences and Engineering, Vol.6, Issue.6, pp.1184-1186, 2018.

The human fingerprint have been key biometric technology providing authentication and security for last decades. Currently fingerprint detection technology used in almost every Smartphone and laptop manufacturing company also considering implementing fingerprints detection technology in laptop. It is preferred by the most of people due to its accuracy, reliability, distinctiveness, feasibility and acceptability. There is several technologies available in the market for scanning the image which works on different principle viz. optical unique fingers impression in which Optical fingers impression sensor works by catching a high definition image of the fingertip through light source. This sort of sensor has a specific kind of high resolution advanced camera. The upper layer of the sensor, where the finger is put, is known as the touch surface. After this layer is a light-producing phosphor layer which illuminates the surface of the finger. The light reflected from the edges and valleys of the finger and goes through that layer which catches a picture of the fingertip. Semiconductor likewise called capacitance unique mark sensors, this sensor additionally produces a picture of the edges and valleys of fingertip yet as opposed to detecting the example utilizing light, and it utilizes electrical current. Ultrasonic unique mark sensors, this sensor influences utilization of the standards of ultrasonography keeping in mind the end goal to make visual picture of the unique mark. Ultrasonic sensor utilizes high recurrence sound waves to create the example of fingertip. Here it measures the reflected sound wave to generate pattern.

Minutiae point, Fingerprint patterns, Imaging Technology, Techniques for extraction, Binarization, Thinning, Crossing Number Algorithm

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Priyanka P. Patel, "A Review of Advanced Techniques and Technology to Detecting Fingerprint," International Journal of Computer Sciences and Engineering, Vol.6, Issue.6, pp.1187-1191, 2018.

In today’s environment the idea of establishing business without the use of internet is not possible. More and more users are shifted towards online systems. So companies are also converged toward the online business. Every company in their attempt to establish strong foots required some sort of mechanism which can promote their product. So recommender system comes into existence. The recommender system is the filtering system which will detect the preferences of the users. By looking at the preference of the users companies can decide which product to be launched in the market and which is not. So recommender system is the need of the hour. Recommender systems are used for wide variety of applications which includes movies, music, news, life insurance etc. In this paper we review various technique that are used for recommender system for recommending electronic products.

Recommender System, Users, Online System, online business

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Jatinder Kaur, Rajeev Kumar Bedi, S.K. Gupta, "Product Recommendation Systems a Comprehensive Review," International Journal of Computer Sciences and Engineering, Vol.6, Issue.6, pp.1192-1195, 2018.

Problems too know, which is the most appropriate location to, dwell in. Rural people mostly believe that, “their destiny is to be in the midst of numerous problems” and that nothing can change their fate. Most of us will agree too, that mostly the urban lot are enjoying the fruits of the tree called “Modernization” ,where as rural people are still engaged in agricultural and small scale industries/business, unaware about what is going on in exterior world . In order to provide the basic necessities and facilities needed to live, the government surely has done a lot but when it comes to making the people of village competent enough to face the fast paced world and its challenges, still a lot has to be done . The most valuable step in this situation would be to modernize the countryside of our nation , so that the population in villages will also be capable enough to leverage the growth of India in every dimension. There are several policies both for the rich and poor, in every country that takes care of its diversified citizens, but whether they are actually implemented or not, is still a mystery. Currently there are some barriers in the development of villages, such as lack of quality education, lack of employment, shortage of resources, non accessible internet etc. This paper is an attempt to cover some of the case studies of the rural people across the globe, who took a step towards transforming their lives. The barriers in the way of rural development, are also highlighted here. Probable and promising solutions based on ICT tools and techniques are also presented.

ICT-Information and Communication Technology, Sustainable, Policy Making, Barriers, Patanjali

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Chitralekha Dwivedi, "Leveraging the growth of the nation by upliftment of its rural counterpart – An ICT based approach," International Journal of Computer Sciences and Engineering, Vol.6, Issue.6, pp.1196-1200, 2018.