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Internet of Things (IOT) makes the smart devices eventually as stepping stones for cyber-physical smart pervasive framework development. IOT is a dynamic global network infrastructure where large amount of information is being transferred through network with interoperable communication protocols. Research and innovation is being carried out in the areas of IOT on semantic interoperability, cyber-physical system, security, and various network technologies. Security is the major challenge among these different areas in the fields of IOT. In this paper, we propose a new conceptual solution to enhance the security in IOT applications based on the feature level fusion of iris and fingerprint biometric traits through deep learning feature extractor Extreme Learning Machine (ELM). Forward Error Correction (FEC) is employed on the fused multimodal biometric traits to encrypt and secure the biometric data.

Extreme Learning Machine; Internet of Things; Information; Multimodal Biometrics; Security

[1] L. Mainetti, L. Patrono, and A. Vilei, “Evolution of wireless sensor networks towards the Internet of Things: A survey`” in Proc. 19th Int. Conf. Softw., Telecommun. Comput. Netw. (SoftCOM), pp. 1_6, Sep. 2011.
[2] Dr.Madhavi Gudavalli, Dr.S.Viswanadha Raju, Dr.A.VinayaBabu and Dr.D.Srinivasa Kumar, “MultiModal Biometrics-Sources, Architecture & Fusion Techniques: An Overview”, IEEE-International Symposium on Biometrics and Security Technologies (ISBAST’12), Taipei, Taiwan, March 26-29, 2012.
[3] SubhashV.Thul, AnuragRishishwar, NeeteshRaghuwanshi, “Sum Rule Based Matching Score Level Fusion of Fingerprint and Iris Images for Multimodal Biometrics Identification”, International Research Journal of Engineering and Technology (IRJET), Volume: 03, Issue.02, Feb 2016.
[4] Ashraf Aboshosha, Kamal A. El Dahshan, Eman A. Karam, Ebeid A. Ebeid, “Score Level Fusion for Fingerprint, Iris and Face Biometrics”, International Journal of Computer Applications by IJCA Journal, Volume 111 - Number 4, DOI: 10.5120/19530-1171, 2015.
[5] Erik Cambria, Guang-Bin Huang, Liyanaa rachchi Lekamalage ChamaraKasun, Hongming Zhou, Chi Man Vong, Jiarun Lin, Jianping Yin, ZhipingCai, Qiang Liu, “Extreme Learning Machines Trends & Controversies”, IEEE Intelligent Systems, DOI: 10.1109/MIS.2013.140, Volume: 28, Issue: 6, pp. 30-59, Feb 2014.
[6] Dr.S.Viswanadha Raju, P.Vidyasree, Dr.Madhavi Gudavalli “Reinforcing The Security In India’s Voting Process Through Biometrics”, International conference on Advanced computer science and information technology, Chennai September 2014.
[7] S.N.Deepa, B.Arunadevi, “Extreme learning machine for classification of brain tumor in 3D MR images”, Informatologia, Vol.46 No.2, http://hrcak.srce.hr/106430, Jun 2013.
[8] Zhiyong Huang, Yuanlong Yu, Jason Gu, Huaping Liu, “An Efficient Method for Traffic Sign Recognition Based on Extreme Learning Machine”, IEEE Transactions on Cybernetics, DOI: 10.1109/TCYB.2016.2533424, Volume: PP, Issue: 99,pp. 1-14, Mar 2016.
[9] P.Vidyasree, Dr.S.ViswanadhaRaju, Dr.Madhavi Gudavalli, “Desisting The Fraud In India’s Voting process through Multi modal Biometrics”,IEEE 6th International Conference on Advanced Computing 2016.
[10] J. Höller, V. Tsiatsis, C. Mulligan, S. Karnouskos, S. Avesand, and D. Boyle, “From Machine-to-Machine to the Internet of Things: Introduction to a New Age of Intelligence”, Amsterdam, The Netherlands: Elsevier, 2014.
[11] Gurpeet Kaur, Manreet Sohal, “IOT Survey: The Phase Changer in Healthcare Industry” International Journal of Scientific Research in Network Security and Communication, Vol.6, Issue 2, April 2018.
[12] Anusha Bharati, Ritika Thakur, Kavita Mhatre, “Protection of Industrial and Residential areas by Wireless Gas Leakage Detector using IOT and WSN”, International Journal of Scientific Research in Computer Science and Engineering, Vol.5, Issue.3, pp.62-67, June 2017.
[13] National Highway Traffic Safety Administration, "Traffic safety facts 2012," DOT HS 812 012, U.S. Department of Transportation, April 2014, pp. 42.

Madhavi Gudavali, Vidyasree P, Viswanadha Raju S, "A Novel Conceptual Solution for Security Enhancement in Internet of Things," International Journal of Computer Sciences and Engineering, Vol.6, Issue.6, pp.153-156, 2018.

Parallel computing has been gaining much attention in recent years due to the fact that many real-world applications have become more complex and dynamic. Due to advances in parallel computing, the user base of cloud computing is increasing hugely and therefore there is need of scheduling algorithms in order to schedule all those resources provided by parallel servers. It has been found that the scheduling techniques developed so far have some limitations; i.e. no one is perfect in every case. The majority of the existing techniques have neglected one of these issues: the most of the existing researchers have neglected the use of the deadline constraint of jobs while designing the fuzzy membership functions for efficiently scheduling the jobs in parallel environment. The majority of existing researchers who have designed fuzzy based job scheduling techniques have neglected the use of job co-allocation while scheduling the jobs on available servers. In this paper a new rule based and deadline aware fuzzy scheduler have been proposed which outperforms the existing schedulers.

Deadline; scheduling; Co-allocation; Fuzzy logic; Fuzzy rules

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[3] Zhijia Chen, Yuanchang Zhu, Yanqiang Di, and Shaochong Feng “A Dynamic Resource Scheduling Method Based on Fuzzy Control Theory in Cloud Environment” Journal of Control Science and Engineering Volume 2015.
[4] John Yen, Jonathan Lee, Nathan Pfluger, and Swami Natarajan “Designing a Fuzzy Scheduler for Hard Real-Time Systems” https://ntrs.nasa.gov/search.jsp?R=19930020348 2018-05-17.
[5] Oğuzhan Ahmet Arık & M. Duran Toksarı “Multi-objective fuzzy parallel machine scheduling problems under fuzzy job deterioration and learning effects” International Journal of Production Research, 2017 https://doi.org/10.1080/00207543.2017.1388932.
[8] Giovanni Mazzuto, Maurizio Bevilacqua and Filippo E. Ciarapica “A heuristic scheduling algorithm based on fuzzy logic and critical chain project management” Int. J. Project Organisation and Management, Vol. 9, No. 4, 2017.
[9] M.M.M. Fahmy “A fuzzy algorithm for scheduling non-periodic jobs on soft real-time single processor system” Elsevier 2010.
[11] Shatha J. Kadhim, Kasim al-aubidy “Design and Evaluation of a Fuzzy-Based CPU Scheduling Algorithm” January 2010.
[12] Rajani Kumari, Vivek Kumar Sharma, Sandeep Kumar “Design and Implementation of Modified Fuzzy based CPU Scheduling Algorithm” International Journal of Computer Applications. 2013
[13] Matthew T. Ogedengbe, Moses A. Agana “New Fuzzy Techniques for Real-Time Task Scheduling on Multiprocessor Systems” International journal of computer trend and technology 2017.
[14] Nirmala H, Dr.Girijamma H A “Fuzzy Scheduling Algorithm for Real –Time multiprocessor system” International Journal of Scientific & Engineering Research, Volume 5, Issue 7, July-2014.
[15] Zhijia Chen, Yuanchang Zhu, Yanqiang Di, and Shaochong Feng “A Dynamic Resource Scheduling Method Based on Fuzzy Control Theory in Cloud Environment” Journal of Control Science and Engineering Volume 2015.
[16] Er. Inderpal Singh, Er. Aman Arora “Fuzzy Based Improved Multi Queue Job Scheduling For Cloud Computing” International Journal of Advanced Research in Computer Science, May-June, 2015.
[17] S. Saravana Kumar “Improved CPU Utilization using Advanced Fuzzy Based CPU Scheduling algorithm (AFCS)” International Journal of Scientific Research in Science, Engineering and Technology 2016.
[18] Jian li, meili tang, wenhai shen “Improved FIFO Scheduling Algorithm Based on Fuzzy Clustering in Cloud Computing” MDPI 2017.
[19] Ming; Yi, John; Zeng, Edward ”fuzzy based scheduling algorithms”
[20] Dr. G. Geetharamani, C. Daniel Sundar Rajan, J. Arun Pandian “Fuzzy Based Task Scheduling For Heterogeneous Distributed Computing” International Journal of Innovative Research in Science Engineering and Technology Vol. 6, Issue 12, December 2017.
[21] Anindita Kundu “A New Approach for Task Scheduling of Cloud Computing Using Fuzzy” International Journal of Innovative Research in Computer Science & Technology ,Volume-3, Issue-2, March 2015.
[22] Shatha J. Kadhim and Kasim M. Al-Aubidy “Design and Evaluation of a Fuzzy-Based CPU Scheduling Algorithm”
[23] Vikash Goswami,Dr.R.K.Shrivastava “HMM and Fuzzy Logic Based Algorithm for Efficient Task Scheduling and Resource Management in Cloud Systems” International Journal of Mathematics Trends and Technology (IJMTT) February 2018.
[24] Prerna Ajmani and Manoj Sethi “Proposed Fuzzy CPU Scheduling Algorithm (PFCS) for Real Time Operating Systems” International Journal of Information Technology 2013
[25] Carsten Franke, Joachim Lepping, and Uwe Schwiegelshohn “On Advantages of Scheduling using Genetic Fuzzy Systems”

Vandana, A. Chhabra, "Deadline aware fuzzy scheduler for parallel computing environment," International Journal of Computer Sciences and Engineering, Vol.6, Issue.6, pp.157-161, 2018.

With the rapid growth of websites, the registered users accounts across the websites increased from aggressive manner. The user may contain multiple accounts in a single website or across the different websites. So, for the different accounts the user may use the same password or the similar password which is already used, but with the prefix or postfix. As the result, guessing a single password may leak the remaining passwords which lead to the major concern of the security and user may forget the passwords of different sites. Hence a secure authentication scheme against password guessing attacks is necessary for logging in to the account with the single password reused for all the accounts in a secure manner with Single Sign on (SSO). In SSO, the tool allows a user to register and sign in with one set of credentials and gain access to the multiple applications and services. SSO increases security by using the difficult passwords which restrict guessing attacks, and also provides a better user experience for customers, employees by reducing the number of required accounts, passwords and provides simple access to all the applications and services they need.

Security, Authentication, Password guessing attacks, Brute force attacks, Dictionary attacks

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C.A. Thriveni, K. Madhavi, "A Secure Authentication Scheme against password Guessing Attacks," International Journal of Computer Sciences and Engineering, Vol.6, Issue.6, pp.162-166, 2018.

Identification of human, based on dental records is one of the popular and emerging trends in Biometrics. An efficient technique to identify human based on their dental records using bag of features and multi-class Support Vector machine proposed in this paper. The dental images of 34 persons were collected using digital camera. The captured images were pre-processed, and SURF bag of features were extracted using image processing. The extracted SURF features are used to design Multi-class Support Vector Machine for human identification. The accuracy for human identification using dental features of proposed model is 98.85 percent for training data and 97.95 percent for testing data.

Dental Biometrics, Bag of Features, Surf Feature, Multi-class SVM

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Deepak Pandey, Amit Yerpude, Toran Verma, "Dental Biometrics for Human Identification using Bag of Features," International Journal of Computer Sciences and Engineering, Vol.6, Issue.6, pp.167-173, 2018.

In this proposed system forest disaster like forest fireflood will be monitoring through the wireless sensor network. Moreover the climate change will affect forest total area. So, we are analysing climate change effect in forest area. In this proposed system we can detect human illegal activity. Moreover we can monitor animal migration. It will helpful for animal research and animal growth census. So, this proposed system is multiple purpose we can use it. We are fixing the various sensor, actuators, CCTV camera etc into the forest area. So, this sensor operated through the wireless sensor network. There are various information come from forest will be stored into the cloud storage. These cloud data will be analysed using the big data analytics. Based on this analysis we are improving the forest area as well as animal growth. So, we improve the biodiversity in the forest environment. If rainy season there is a flood occurred in the forest. It will analysed and intimate to the plain area people. Moreover if the summer period there is forest fire occurred. So, we detect forest fire and that will destroy. Moreover the forest animal likes elephant, tiger which come from forest area to people living area. So, it will be immediately detect and appropriate action will be taken immediately. So, the proposed System is the multipurpose system. It will applicable to rain forest, mangrove forest etc. This proposed system is operating through the IOT, cloud computing, big data analytics and wireless sensor network.

IOT, Sensor, Cloud Computing, Wireless Sensor Network

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A.Uthiramoorthy, R. Muralidharan, "Automated Forest Monitoring Techniques Using Multiple Technologies," International Journal of Computer Sciences and Engineering, Vol.6, Issue.6, pp.174-177, 2018.

This paper mainly focuses on the aspects of simplifying people’s lives by implementing the ways of IOT in daily used home appliances. The major focus of this paper lies in automation of air conditioning using a thermostat and watering of plants without human intervention using a moisture sensor. A DHT11 temperature sensor integrated with internet of things using a Raspberry pi facilitate the above-mentioned implementation of internet of things. The thermostat is used as source of information for the conditioner to adjust the temperature in the room and the moisture sensor acts as a switch to water the plants once the soil moisture content falls below the minimum threshold.

IoT, DHT11, Humidity Monitoring System, Network

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Ravi Teja, SVHN Krishna Kumari, "Automation of Temperature and Humidity Monitoring System – Application of IoT," International Journal of Computer Sciences and Engineering, Vol.6, Issue.6, pp.178-181, 2018.

According to the load curve, the load of each home is changing with the time. During the time in which load is less compared to the Generation in this condition smart home has an opportunity for energy sharing among the smart homes which are equipped with energy sources such as rooftop Solar Cells, EVs. In the proposed energy sharing scheme, the enticement is given in terms of priority to the SHs which participate as an energy provider. EVs energy also use in sharing if has access energy stored in the batteries then requirement. In this paper the Priority-Based energy sharing approach is discussed among the nearness Smart Homes (SHs) which are located in the physical proximity of each other. The approach is a non-pricing based. The Distributed Network Management System helps the SHs in sharing energy on the basis of Demand, past energy contribution and reliability factor. The SHs acting as an energy provider will be rewarded in respect of money and priority index if require energy in future. The simulation result of energy sharing mechanism in practical world is shown in this paper.

Smart homes, Renewable Energy, Nash equilibrium, Game theory, Energy sharing mechanism

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Sonvir Singh, Tushar Srivastava2, "Reliability Constrained Energy Sharing Mechanism Among Smart Homes," International Journal of Computer Sciences and Engineering, Vol.6, Issue.6, pp.182-187, 2018.

This is the era of high end technologies which requires faster connectivity through internet and its variety of applications with prime concern of serving ease in transition, convey messages and data from one end of the world to another. These methods are consuming various sensitive information for their own record. Loose design formation and lower coupling with security approaches of web applications are waved of by attackers to get the system access from malicious activities which create the trouble in real life situations. The primary aim of this presented work is to study about various phishing techniques and their effects on our daily life additionally finding some acceptable and/ or adoptable detection and prevention techniques by which system automatically detects a phishing web URL uses data mining techniques. Along with the studying the work had also identified the problems associated with the current detection. As far as older systems are concerned detection are having larger ratio of false positive nature served with static patterns and rules. This work proposes a hybrid anti-phishing approach using some of the well-known phishing detection factors like MAC address of web pages. This works also elaborates the comparative study of most implemented recommendations algorithms to proposed Hybrid recommendations approach.

Blacklisting Recommendation System, Content Based, Collaborative Based, Knowledge Based System, Phishing, Pattern Analysis, MAC, Pattern Similarity Index (PSI)

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Pritesh Saklecha, Jagdish Raikwar, "Prevention of Phishing Attack using Hybrid Blacklist Recommendation Algorithm," International Journal of Computer Sciences and Engineering, Vol.6, Issue.6, pp.188-191, 2018.

Short circuits occur in power systems when equipment insulation fails, due to system overvoltages caused by lightning or switching surges, to insulation contamination, or to other mechanical and natural causes. Careful design, operation, and maintenance can minimize the occurrence of short circuits but cannot eliminate them. Such short-circuit currents (for balanced and unbalanced faults) can be several orders of magnitude larger than normal operating currents and, if allowed to persist, may cause insulation damage, conductor melting, fire, and explosion. Windings and busbars may also suffer mechanical damage due to high magnetic forces during faults. Clearly, faults must be quickly removed from a power system. Hence, proposed journal deals with removal of fault by sensing overcurrent element using Numerical Relay REF615, meant for Feeder Protection. Along with Overcurrent Protection few more protection schemes such as CB Failure Protection and Trip Circuit Supervision (TCS) are also described here. Moreover, Relay Status can also be detected i.e., whether healthy or unhealthy. When we say that system has to be protected against fault, then it means to disconnect faulty part from healthy one by opening CB of corresponding feeder section. In case of CB failure i.e., when Main CB (downstream CB) fails to operate, Backup CB (upstream CB) must be operated after predefined time interval.

Circuit Breaker, Fault, Feeder, IEC 61850, Network, Overcurrent, Protection, REF615, Relay, Substation

[1] Power System Protection and Switchgear by Bhuvanesh A. Oza, Nirmal Kumar C. Nair, Rashesh P. Mehta, Vijay H. Makwana.
[2] Network Protection & Automation Guide by ALSTOM.
[3] Handbook of Switchgears by BHEL.
[4] The Art & Science of Protective Relaying by C. Russell Mason.
[5] Power System Analysis and Design by J. Duncan Glover, Mulukutla S. Sarma, Thomas J. Overbye.

A. Kamani, J. Satapara, T. Patel, "Overcurrent Protection of Feeder Using Numerical Relay," International Journal of Computer Sciences and Engineering, Vol.6, Issue.6, pp.192-197, 2018.

In the era of technological development, more and more data is being accumulated on daily basis. Therefore it is a challenge to process, store and manage those ever increasing size of data. Before processing, classification of large amount of files needed. In this paper the authors develop a method to classify large amount of unstructured big data files into a small number of groups, each containing structured data files. The objective is that after classification the classified groups will be a better form of resource to the concerned user for further processing.

Big data, r-train, identity tag, Classification, Unstructured data

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M. T. Nafis, R. Biswas, "A Technique for Classifying Unstructured Big Data Files," International Journal of Computer Sciences and Engineering, Vol.6, Issue.6, pp.198-200, 2018.