Volume-6 , Issue-5 , Oct 2018, ISSN 2320-7639 (Online) Go Back

• Open Access   Article

  Toolkit for Web Development Based on Web Based Information System

  Prince Singha, Aditya, Kunal Dubey, Jagadeeswararao Palli

  Research Paper | Isroset-Journal (IJSRCSE)

  Vol.6 , Issue.5 , pp.1-5, Oct-2018

  CrossRef-DOI:   https://doi.org/10.26438/ijsrcse/v6i5.15

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  This paper intends to exhibit the social and authoritative parts of electronic data frameworks. Presently we are in the 21st century and two decades will be finished soon. A century ago has been considered as the ascending of Information and correspondence innovation. These days there is expanding advancement of online data frameworks for social and hierarchical divisions Electronic data frameworks in light of web innovations which shares distinctive kinds of Internet convention and assumes an essential part to gather, putting away, gathering and imparting information from various sources and spread data initially. The speed and productivity of electronic data framework which incorporates both neighborhood and worldwide systems, databases and diverse sorts of program for data preparing makes social and hierarchical life less demanding for individuals. The online applications keep up activities of administration. Such applications incorporates quality administration forms, life cycle of authoritative objective, actualizing and sharing creation plan This electronic innovation affects social connection, social conduct and different association issues.

  Key-Words / Index Term
  Web Development, Electronic Data Framework, Speed, Productivity

  References
  [1] Boyd, Danah; Ellison, Nicole (2007). "Social Network Sites: Definition, History and Scholarship. Journal of Computer-Mediated Communication.
  [2] Eric Gleave, Howard T. Welser, Tomas M. Lento, Marc A. Smith `A conceptual and operational definition of social role in online community`-Proceedings of the 42nd Hawaii International conference on system science-2009.
  [3] Gianluca, Zanutto and Alberto, D.T "Web-based information success: A measurement model of acceptance and fit.
  [4] Linda Askenas and Alf westelius (2003) `Five roles of an information system: A social constructionist approach of analysing the use of ERP system, journal vol3.
  [5] Nabil Adam and Yelena Yesha, eds, Electronic Commerce: Current Research Issues and Applications, Springer, 1996
  [6] Morrison, Ken; Marx, Durkheim, Weber (2006). " Formations of modern social thought.
  

  Citation
  Prince Singha, Aditya, Kunal Dubey, Jagadeeswararao Palli, "Toolkit for Web Development Based on Web Based Information System," International Journal of Scientific Research in Computer Science and Engineering, Vol.6, Issue.5, pp.1-5, 2018

• Open Access   Article

  Real Time Face Recognition of Human Faces by using LBPH and Viola Jones AlgorithmReal Time Face Recognition of Human Faces by using LBPH and Viola Jones Algorithm

  Suma S L, Sarika Raga

  Research Paper | Isroset-Journal (IJSRCSE)

  Vol.6 , Issue.5 , pp.6-10, Oct-2018

  CrossRef-DOI:   https://doi.org/10.26438/ijsrcse/v6i5.610

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  In our social life face is the primitive center for consideration, which plays a vital task for identification and an emotion. Live Face Recognition has attained enormously consideration in security systems, due to its non intrusiveness, accurate and fast results etc. Real time human Face recognition executes in two levels, such as Face detection and Face recognition. For face detection we are using viola-jones algorithm because of its high precision and high real time permit rate which is deployed in opencv by python language. In Face recognition two categories are considered: training phase and evaluation phase. In training phase, the algorithm is trained with the samples of the image to be learned and In estimation phase, the test image is compared among all the trained samples in the dataset. The facial features is extracted with the detected faces from live stream by Local Binary Patterns Histogram (LBPH). By using the LBPH, face recognition is finished using Euclidean distance classifier. The Experimental results getting after implementations and testing is of accuracy 85%-95%.

  Key-Words / Index Term
  LBPH, Viola Jones, Euclidean Distance, OpenCV, Webcam

  References
  [1] Dr. Eyad I. Abbas, Mohammed E. Safi- MIEEE, Dr. Khalida S. Rijab, “ Face Recognition Rate Using Different Classifier Methods Based on PCA”, International Conference on Current Research in Computer Science and Information Technology (ICCIT),2017 pp 37-40.
  [2] Priyanka Dhoke, M.P. Parsai, “A MATLAB based Face Recognition using PCA with Back Propagation Neural network”, 2014.
  [3] Nawaf Hazim Barnouti ,Sinan Sameer Mahmood Al-Dabbagh ,Wael Esam Matti ,Mustafa Abdul Sahib Naser, “Face Detection and Recognition Using Viola-Jones with PCA-LDA and Square Euclidean Distance” International Journal of Advanced Computer Science and Applications, Vol. 7, No. 5, 2016.
  [4] Ningthoujam Sunita Devi, K. Hemachandran, “Face Recognition Using Principal Component Analysis”, International Journal of Computer Science and Information Technologies, Vol. 5 (5), 2014,pp 6491-6496.
  [5] Nisha, Maitreyee Dutta, “Improving the Recognition of Faces using LBP and SVM Optimized by PSO Technique”, International Journal of Engineering Development and Research, Volume 5, Issue 4,2017 , ISSN: 2321-9939,pp 297-303.
  [6] Paul Viola, Michael Jones, “Rapid object Detection using a Boosted cascade of simple features”, Conference on Computer vision and Pattern recognition 2001.
  [7] Prabhjot Singh and Anjana Sharma, “Face Recognition Using Principal Component Analysis in MATLAB”, International Journal of Scientific Research in Computer Science and Engineering, Vol-3(1), pp (1-5) Feb 2015.
  [8] Ali, A. Hussain, S. Haroon, F Hussain, S. Khan, M.F. “Face Recognition with Local Binary Patterns”. Bahria University Journal of Information Communication Technology, pp 46–50, 2012.
  [9] Idelette Laure Kambi Beli and Chunsheng Guo, “Enhancing Face Identification Using Local Binary Patterns and K-Nearest Neighbors”, Journal of Imaging, 2017.
  [10] Keerti V, Dr. Sarika Tale, “Implementation Of Preprocessing And Efficient Blood Vessel Segmentation In Retinopathy Fundus Image”. IJRITCC, Volume 3, Issue 6, 2015.
  [11] Panchakshari P, Dr. Sarika Tale, “Performance Analysis of Fusion method for EAR Biometrics”. IEEE Conference on recent trends in Electronics, Information and Communication, May 2016.
  [12] M Madhurekha, Dr. Sarika Raga, “CT Brain image Enhancement using DWT-SVD gamma correction method and diagnosis of anomalous using CNN”. IEEE, 2018.
  [13] Anitha N E, Dr. Sarika Raga, “Lung Carcinoma Identification Through Support Vector Machines And Convolutional Neural Network”. JETIR,Volume 5 ,Issue 9, 2018.
  

  Citation
  Suma S L, Sarika Raga, "Real Time Face Recognition of Human Faces by using LBPH and Viola Jones AlgorithmReal Time Face Recognition of Human Faces by using LBPH and Viola Jones Algorithm," International Journal of Scientific Research in Computer Science and Engineering, Vol.6, Issue.5, pp.6-10, 2018

• Open Access   Article

  Evaluation of proposed technique for detection of Sybil attack in VANET

  Kanwalprit Singh, Harmanpreet kaur

  Research Paper | Isroset-Journal (IJSRCSE)

  Vol.6 , Issue.5 , pp.10-15, Oct-2018

  CrossRef-DOI:   https://doi.org/10.26438/ijsrcse/v6i5.1015

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  Abstract
  The vehicular Adhoc networks are the self configuring and de-centralized type of network in which no central controller is present. The vehicle nodes have high mobility due to which path establishment from source to destination is the major issue in the network. Sybil attack is such a critical attack where the multiple messages are created by the attacker and are sent to other vehicles with different Ids each time. This makes the other nodes get confused such that the nodes assume the messages are arriving from other nodes. Due to this a jam occurs within the network. This forces the vehicle to choose another path and leave the road which is a benefit for the attacker.In the recent times, various techniques have been proposed for the detection of malicious nodes from the network. The proposed technique is based on monitor mode and signal strength based technique. The simulation is been performed in Ns2 and results shows that purposed technique shows good results in terms of various parameters.

  Key-Words / Index Term
  VANET, Sybil, Monitor mode

  References
  [1] Rajesh Rajamani et al “On spacing policies for highway vehicle automation”, American control conference chicago, Illinois June 2000
  [2] Gang Liu and Han Guo, “ Some aspects of road sweeping vehicle automation”, IEEE lasme international conference on advanced intelligent mechatronics,2001
  [3] Kung et.al “A survey of mobility models for ad hoc network research”, wireless communication & mobile computing (WCMC): special issue on mobile ad hoc networking: research, trends and applications, vol. 2, no. 5, pp. 483-502, 2002.
  [4] HAO Wu "An Empirical Study of Short RangZe Communications for Vehicles", IJSER September , 2011, Cologne, Germany, pp 83-84
  [5] Su-Jin Kwag, “Performance Evaluation of IEEE 802.11 Ad-hoc Network in Vehicle to Vehicle Communication", Mobility 06, 1-59593-519-3
  [6] Michel Hugo "Self-Organized Traffic Control", VANET’10, September 24, o, Illinois,
  [7] Reena Dadhich Department of MCA, Govt. College of Engineering, Ajmer, India,” Mobility Simulation of Reactive Routing Protocols for Vehicular Ad-hoc Networks”(2011)
  [8] Supinder Kaur, Anil Kumar, “Techniques to Isolate Sybil Attack in VANET-A Review”, 2016, International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT)
  [9] Ashritha M, Sridhar CS, “RSU Based Efficient Vehicle Authentication Mechanism for V ANETs”, 2015, IEEE Sponsored 9th International Conference on Intelligent Systems and Control (ISCO)
  [10] Mahdiyeh Alimohammadi and Ali A. Pouyan, “Sybil Attack Detection Using a Low Cost Short Group Signature in VANET”, 2015, IEEE
  [11] Sebastian Bittl, Arturo A. Gonzalez, Matthias Myrtus, Hanno Beckmann, Stefan Sailer, Bernd Eissfeller, “Emerging Attacks on VANET Security based on GPS Time Spoofing”, 2015 IEEE Conference on Communications and Network Security (CNS)
  [12] Anu S Lal, Reena Nair, “Region Authority Based Collaborative Scheme to Detect Sybil Attacks in VANET”, 2015 International Conference on Control, Communication & Computing India (ICCC)
  [13] Khaled Rabieh, Mohamed M. E. A. Mahmoud, Terry N. Guo, and Mohamed Younis, “Cross-Layer Scheme for Detecting Large-scale Colluding Sybil Attack in VANETs”, 2015, IEEE ICC
  

  Citation
  Kanwalprit Singh, Harmanpreet kaur, "Evaluation of proposed technique for detection of Sybil attack in VANET," International Journal of Scientific Research in Computer Science and Engineering, Vol.6, Issue.5, pp.10-15, 2018

• Open Access   Article

  Secure and Efficient Multipath Routing Using Overlay Nodes

  J. Srilakshmi, S.S.S.N. Usha Devi N.

  Research Paper | Isroset-Journal (IJSRCSE)

  Vol.6 , Issue.5 , pp.16-19, Oct-2018

  CrossRef-DOI:   https://doi.org/10.26438/ijsrcse/v6i5.1619

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  Wireless network consists of intermittently connected nodes which forms clusters with nearest neighboring nodes. Over such networks it is well-known that traditional routing algorithms perform very poorly because every node in network participates in routing decision. To provide optimal multipath routing, such that only subset of nodes involve in routing decisions to bifurcate traffic to achieve maximum throughput. In this paper, we propose a overlay architecture for multipath routing such that only few nodes involved in network to make dynamic routing decisions. For that we focus on two aspects. First, overlay node placement algorithm is developed to choose a subset of nodes (overlay nodes) and prove that only few nodes are sufficient to achieve maximum throughput of network. Second, dynamic routing policy (OBP) is proposed which apply on overlay nodes which splits traffic to route packets on multi paths. The proposed overlay architecture and routing algorithm implemented on NetBeans-IDE using java as programming language. Experimental results show that our proposed algorithm provides better throughput and reduced delay compared to existing backpressure routing technique.

  Key-Words / Index Term
  Geo Wireless Network, Backpressure Routing, Overlay nodes, Throughput

  References
  [1] Nathaniel M. Jones, “An Overlay Architecture IEEE/ACM Trans. on networking, Massachusetts Institute of Technology, 2018.
  [2] A. Rai, C.-P. Li, G. Paschos, and E. Modiano,“Loop free backpressure routing using link-reversal algorithms,” in Proc. ACM MobiHoc, Jun. 2015, pp. 87–96
  [3] D. Xu, M. Chiang, and J. Rexford, “Link-state routing with hop-by-hop forwarding can achieve optimal traffic engineering,” IEEE/ACM Trans. Netw., vol. 19, no. 6, pp. 1717–1730, Dec. 2011.
  [4] J.Ryu, L. Ying, and S. Shakkottai, “Back-pressure routing for intermittently connected networks,” in Proc. IEEE INFOCOM, Mar. 2010, pp. 1–5.
  [5] L. Bui, R. Srikant, and A. Stoylar, “Novel architectures and algorithms for delay reduction in back-pressure scheduling and routing,” in Proc. of IEEE INFOCOM, 2009
  [6] L. Ying, S. Shakkottai, and A. Reddy, “On c ombining shortest-path and back-pressure routing over multihop wireless networks,” in Proc. IEEE INFOCOM, Apr. 2009, pp. 1674–1682.
  [7] L. Ying, R. Srikant, and D. Towsley, “Cluster-based back-pressure routing algorithm,” in Proceedings of IEEE INFOCOM, Phoenix, AZ, April 2008.
  [8] K. Fall, “A delay-tolerant network architecture for challenged Internets,” in Proc. of SIGCOMM, 2003.
  [9] B. Fortz and M. Thorup, “Internet traffic engineering by optimizing OSPF weights”, in the Proc. IEEE INFOCOM, Mar. 2000, pp. 519–528.
  [10] L. Tassiulas and A. Ephremides, “Stability properties of constrained queueing systems and scheduling policies for maximum throughput in multihop radio networks,” IEEE Trans. Autom. Control, vol. 37, no. 12, pp. 1936–1948, Dec. 1992.
  

  Citation
  J. Srilakshmi, S.S.S.N. Usha Devi N., "Secure and Efficient Multipath Routing Using Overlay Nodes," International Journal of Scientific Research in Computer Science and Engineering, Vol.6, Issue.5, pp.16-19, 2018

• Open Access   Article

  Weather Prediction through Sliding Window Algorithm and Deep Learning

  Shubham Billus, Shivam Billus, Rishab Behl

  Research Paper | Isroset-Journal (IJSRCSE)

  Vol.6 , Issue.5 , pp.20-24, Oct-2018

  CrossRef-DOI:   https://doi.org/10.26438/ijsrcse/v6i5.2024

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  Abstract
  There are currently many techniques present in the world to predict weather. However, none of them is sufficient in itself to accurately predict the weather on any given day, 100% of the time. At best what we have yet achieved is to come up with ways to reduce errors in current systems to make weather prediction more accurate. We, humans, have used satellite sensors to predict weather, we have used pattern recognition algorithms to predict future patterns in weather, but none is as accurate as we would like them to be. One such method to predict weather through pattern recognition is Sliding Window technique. This technique predicts weather through the data available to the system about previous year’s weather around that time. However, this technique is far from being even usable when it comes to efficiency, although it is a very fast method to predict weather and involve very less computations as compared to other techniques. Only if we can find a way to make this algorithm more efficient, that we can take advantage of its fast computational speeds to actually benefit from it. This paper presents a solution to greatly improve the efficiency of this method.

  Key-Words / Index Term
  Weather forecast, Sliding Window Algorithm, Deep Learning

  References
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  [3] Dr. Rama Kishore, Taranjit Kaur , “Backpropagation Algorithm: An Artificial Neural Network Approach for Pattern Recognition,” International Journal of Scientific & Engineering Research, Volume 3, Issue 6, June 2012
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  [5] James Lani, “Time Series Analysis,” Statistics Solutions, 21st December, 2010.
  [6] Abhishek Agarwal,Vikash Kumar, Ashish Pandey, Imran Khan, “ An Application Of Time Series Analysis For Weather Forecasting”, International Journal Of Engineering Research Application ,Mar - Apr 2012.
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  [8] Jiangtao Ren, Sau Dan Lee, Xianlu Chen, Ben Kao, Reynold Cheng, David Wai-Lok Cheung , “Naïve Bayes Classification of Uncertain Data,”Ninth IEEE International Conference on Data Mining, March, 2009
  [9] Prashant Biradar, Sarfraz Ansari, YashavantParadkar, Savita Lohiya, “Weather Prediction Using Data Mining,” IJEDR, Volume 5, Issue 2, November, 2017
  [10] AmjadHudaib, Rola Al-Khalid1, Aseel Al-Anani, Mariam Itriq, Dima Suleiman, “Four Sliding Window Pattern Matching Algorithms,” Journal of Software Engineering and Applications, 2015, 8, 154-165, March, 2015
  [11] Piyush Kapoor, Sarabjeet Singh Bedi, “Weather Forecasting using Sliding Window Algorithm,” ISRN Signal Processing, Volume 2013, 19th August, 2013
  [12] Charles A. Doswell Iii And Robert A. Maddox ,“The Role Of Diagnosis In Weather Forecasting” 11th Conf.Weather Forecasting And Analysis June 1986
  

  Citation
  Shubham Billus, Shivam Billus, Rishab Behl, "Weather Prediction through Sliding Window Algorithm and Deep Learning," International Journal of Scientific Research in Computer Science and Engineering, Vol.6, Issue.5, pp.20-24, 2018

• Open Access   Article

  A Novel Two Level Search Scheme to Provide Security and Privacy of Encrypted Spatial Data

  Ch.V.B.Neeraja, S.S.S.N.Usha Devi N

  Research Paper | Isroset-Journal (IJSRCSE)

  Vol.6 , Issue.5 , pp.25-29, Oct-2018

  CrossRef-DOI:   https://doi.org/10.26438/ijsrcse/v6i5.2529

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  Abstract
  Spatial data consists of geographic and geometric data primitives. Searching on spatial data is carried by geometric range queries. FastGeo, an efficient two-level search scheme is introduced. The major contributions focus on two aspects. First, enrich search functionalities by designing new solutions to carry out fundamental geometric search queries, which are supported over encrypted data. Second, minimize the gap between theory and practice by building novel schemes to perform geometric queries with highly efficient search time and updates over large scale spatial data. Spatial data and geometric range queries are converted into a new form, denoted as equality-vector form and perform two-level search to verify whether a point is inside a geometric range. FastGeo is implemented using java as programming language on Net Beans IDE. An honest-but-curious server efficiently performs geometric range queries and returns data points that are inside the geometric region to the client without learning query or sensitive information. Better privacy can be achieved which cannot drop or create a new message. Experimental results on spatial data can achieve sublinear search time.

  Key-Words / Index Term
  Geometric range queries, Spatial Data, Encrypted data

  References
  [1] Boyang Wang, Ming Li, and Li Xiong, “FastGeo: Efficient Geometric Range Queries on Encrypted Spatial Data” IEEE Transactions on Dependable and Secure Computing, 2017.
  [2] B. Wang, M. Li, and H. Wang, “Geometric Range Search on Encrypted Spatial Data”, IEEE Transactions on Information Forensics and Security, vol. 11, no. 4, pp. 704–719, 2016.
  [3] Shashi Shekhar, Stenven k. Feiner, and Walid G. Aref, “Spatial Computing,” Communications of the ACM, 2016.
  [4] Erik-Oliver Blass, Travis Mayberry, and Guevara Noubir, “Practical Forward Secure Range and Sort Queries with Updated-Oblivious Linked Lists”, Proceedings of Privacy Enhancing Technology Symposium, 2015.
  [5] Florian Kerschbaum, “Frequency-Hiding Order-Preserving Encryption”, Proceedings of ACM, 2015.
  [6] B. Wang, M. Li, H. Wang, and H. Li, “Circular Range Search on Encrypted Spatial Data”, Proceedings of IEEE CNS, 2015.
  [7] H. Zhu, R. Lu, C. Huang, L. Chen, and H. Li, “An Efficient Privacy Preserving Location Based Services Query Scheme in Outsourced Cloud,” IEEE Transactions on Vehicular Technology, 2015.
  [8] V. Pappas, F. Krell, B. Vo, V. Kolesnikov, T. Malkin, S. G. Choi, W. George, A. Keromytis, and S. Bellovin, “Blind Seer: A Searchable Private DBMS,” Proceedings of IEEE (S&P), 2014.
  [9] J. Sedenka and P. Gasti, “Privacy-Preserving Distance Computation and Proximity Testing on Earth, Done Right,” Proceedings of ACM ASIA Conference on Information, Computer and Communications Security (ASIACCS), 2014.
  [10] B. Wang, Y. Hou, M. Li, H. Wang, and H. Li, “Maple: Scalable Multi-Dimensional Range Search over Encrypted Cloud Data with Tree-based Index,” Proceedings of ACM, 2014.
  [11] G. Ghinita and R. Rughinis, “An Efficient Privacy-Preserving System for Monitoring Mobile Users: Making Searchable Encryption Practical,” Proceedings of ACM Conference on Data and Application Security and Privacy (CODASPY), 2014.
  [12] E. Shen, E. Shi, and B. Waters, “Predicate Privacy in Encryption Systems,” Proceedings of Transactions on cloud computing (TCC), 2009.
  

  Citation
  Ch.V.B.Neeraja, S.S.S.N.Usha Devi N, "A Novel Two Level Search Scheme to Provide Security and Privacy of Encrypted Spatial Data," International Journal of Scientific Research in Computer Science and Engineering, Vol.6, Issue.5, pp.25-29, 2018

• Open Access   Article

  A Secure Social Network Question and Answer System

  M. Sai Sirisha, S.S.S.N. Usha Devi N

  Research Paper | Isroset-Journal (IJSRCSE)

  Vol.6 , Issue.5 , pp.30-35, Oct-2018

  CrossRef-DOI:   https://doi.org/10.26438/ijsrcse/v6i5.3035

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  Abstract
  Now-a-days internet acts as a huge source of information whereas the Question and Answer (Q&A) systems are widely used for information and knowledge sharing. The efficiency of the Question and Answer systems can be calculated depending on the factors like how correct the questions are answered within a short waiting time. For the user to be presented with correct answers for the questions asked, the questions are to be forwarded to those persons who are willing and capable to answer. This can be procured with the help of Question and Answer system with in a social network. This Secure Social Question and Answer system can be performed based on properties like common interest and mutual trust friendship among the people in the social network. The above two properties will be considered in identifying the appropriate answerer for a question. Security of the Question and Answer system is achieved with the use of bloom filter to protect user identities for the effective exchange of information.

  Key-Words / Index Term
  Question and Answer systems, Social networks, Bloom filter, Common interest

  References
  [1] H. Shen, G. Liu, and N. Vithlani Socialq&a: An online social network based question and answer system. In Proc. of ICCCN., vol. 3, Issue 1, March 2017
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  [8] L. Hong, Z. Yang, B. D. Davison, "Incorporating participant reputation in community-driven question answering systems", Proc. Int. Conf. Comput. Sci. Eng., pp. 475-480, 2009.
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  [12] A. Shtok, G. Dror, Y. Maarek, I. Szpektor, "Learning from the past: Answering new questions with past answers", Proc. 21st Int. Conf. World Wide Web, pp. 759-768, 2012.
  [13] X. Quan, W. Liu, B. Qiu, "Term weighting schemes for question categorization", IEEE Trans. Pattern Anal. Mach. Intell., vol. 33, no. 5, pp. 1009-1021, May 2011.
  [14] W. Song, W. Liu, N. Gu, X. Quan, T. Hao, "Automatic categorization of questions for user-interactive question answering", Inf. Process. Manage., vol. 47, pp. 147-156, 2011.
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  [18] J. Guo, S. Xu, S. Bao, Y. Yu, "Tapping on the potential of Q&A community by recommending answer providers", Proc. 17th ACM Conf. Inf. Knowl. Manage., pp. 921-930, 2008.
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  Citation
  M. Sai Sirisha, S.S.S.N. Usha Devi N, "A Secure Social Network Question and Answer System," International Journal of Scientific Research in Computer Science and Engineering, Vol.6, Issue.5, pp.30-35, 2018

• Open Access   Article

  Urdu Language Translation using LESSA

  Muhammad Naeem Ul Hassan

  Research Paper | Isroset-Journal (IJSRCSE)

  Vol.6 , Issue.5 , pp.36-40, Oct-2018

  CrossRef-DOI:   https://doi.org/10.26438/ijsrcse/v6i5.3640

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  Abstract
  Pakistan has a population of 140 million speaking more than 56 different languages. Urdu is the lingua franca of these people, as many speak Urdu as a second language, also the national language of Pakistan. Being a developing population, Pakistani people need access to information. Most of the information over the ICT infrastructure is only available in English and only 5-10% of these people are familiar with English. This paper presents a system for translation from English to Urdu. A module LESSA is used that uses a rule based algorithm to read the input text in English language, understand it and translate it into Urdu language. The designed approach was further incorporated to translate the complete website from English language o Urdu language.

  Key-Words / Index Term
  Natural Language Translation, Text Understanding, Knowledge extraction, Text Processing

  References
  [1] Bajwa, I.S., Choudhary, M.A. (2006) “A Rule Based System for Speech Language Context Understanding” Journal of Donghua University, (English Edition) 23 (6), pp. 39-42.
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  [4] Bajwa, I.S., Hyder, I. (2007), "UCD-Generator - A LESSA Application for Use Case Design", Proceedings of IEEE- International Conference on Information and Emerging Technologies- ICIET, pp-182-187
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  Citation
  Muhammad Naeem Ul Hassan, "Urdu Language Translation using LESSA," International Journal of Scientific Research in Computer Science and Engineering, Vol.6, Issue.5, pp.36-40, 2018

• Open Access   Article

  A Survey on Developing Secure IoT Products

  Priyang Bhatt, Bhasker Thaker, Neel Shah

  Survey Paper | Isroset-Journal (IJSRCSE)

  Vol.6 , Issue.5 , pp.41-44, Oct-2018

  CrossRef-DOI:   https://doi.org/10.26438/ijsrcse/v6i5.4144

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  Abstract
  The Internet of Things (IoT) is a vision of a globally interconnected network of various sensors, actuators and embedded systems connected to each other via wired/wireless connections, interacting with the environment and each other to create value. This vision would revolutionize current models and processes in business and daily life. Needless to say being such an impactful concept, security in IoT becomes even more critical than before. In this we paper we survey and highlight some crucial and primary concepts related to IoT Security which have to be incorporated in the IoT system design and development as well as during deployment of the IoT applications.

  Key-Words / Index Term
  IoT, Privacy, Security, Product Development, Secure Design

  References
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  Citation
  Priyang Bhatt, Bhasker Thaker, Neel Shah, "A Survey on Developing Secure IoT Products," International Journal of Scientific Research in Computer Science and Engineering, Vol.6, Issue.5, pp.41-44, 2018

• Open Access   Article

  Review Paper on Shallow Learning and Deep Learning Methods for Network security

  Afzal Ahmad, Mohammad Asif, Shaikh Rohan Ali

  Review Paper | Isroset-Journal (IJSRCSE)

  Vol.6 , Issue.5 , pp.45-54, Oct-2018

  CrossRef-DOI:   https://doi.org/10.26438/ijsrcse/v6i5.4554

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  Abstract
  Machine learning is embraced in an extensive variety of areas where it demonstrates its predominance over customary lead based calculations. These strategies are being coordinated in digital recognition frameworks with the objective of supporting or notwithstanding supplanting the principal level of security experts although the total mechanization of identification and examination is a luring objective, the adequacy of machine learning in digital security must be assessed with the due steadiness. With the improvement of the Internet, digital assaults are changing quickly and the digital security circumstance isn`t hopeful. Since information are so critical in ML/DL strategies, we portray a portion of the normally utilized system datasets utilized in ML/DL, examine the difficulties of utilizing ML/DL for digital security and give recommendations to look into bearings. Malware has developed over the previous decades including novel engendering vectors, strong versatility methods and also different and progressively propelled assault procedures. The most recent manifestation of malware is the infamous bot malware that furnish the aggressor with the capacity to remotely control traded off machines therefore making them a piece of systems of bargained machines otherwise called botnets. Bot malware depend on the Internet for proliferation, speaking with the remote assailant and executing assorted noxious exercises. As system movement action is one of the principle characteristics of malware and botnet task, activity investigation is frequently observed as one of the key methods for recognizing traded off machines inside the system. We present an examination, routed to security experts, of machine learning methods connected to the recognition of interruption, malware, and spam.

  Key-Words / Index Term
  Machine learning, Deep learning, Cyber security, Adversarial learning

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  Citation
  Afzal Ahmad, Mohammad Asif, Shaikh Rohan Ali, "Review Paper on Shallow Learning and Deep Learning Methods for Network security," International Journal of Scientific Research in Computer Science and Engineering, Vol.6, Issue.5, pp.45-54, 2018