Indexing

Abstract: Energy consumption is one of the constraints in Wireless Sensor Networks (WSNs). The routing protocols are the hot areas to address quality-of-service (QoS) related issues viz. Energy consumption, network lifetime, network scalability and packet overhead. In existing system a hybrid optimization based PEGASIS-DSR optimized routing protocol (PDORP) is presented which used cache and directional transmission concept of both proactive and reactive routing protocols.  The performance of PDORP has been evaluated and the results indicated that it performs better in most significant parameters. The performance of the existing method is checked when it is evaluated and validated with the nodes which are highly dynamic in nature based on the application requirement.  The current system finds the trusted nodes in the case of only static environment. To overcome the issue the proposed system is applied for dynamic WSN’s with the location frequently being changed. The PDORP-LC is applied with local caching (LC) to acquire the location information so that the path learning can be dynamic without depending on the fixed location. The proposed work is performing in dynamic environment with the dynamic derivation of trusted nodes.

Abstract: Facebook application may create vulnerabilities in user’s page. Identifying a set of features that help us to distinguish malicious apps from genial ones. Facebook Rigorous Application Evaluator can detect malicious apps with no false positives and a high true positives rate. Permission set is used for gathering set of features from user’s wall. Based upon the requesting applications facebook server access permission sets from users. Permission set of a particular application determines whether the selected application is genial or malicious. If the selected application is genial generate token for installation process otherwise skip the process and continue with another application.

Abstract: Mobile data collection in Wireless Sensor Network has three layers such as sensor layer, cluster head layer, mobile collector (called senCar) layer. To achieve good scalability, long network life time and to reduce delay, a distributed Load Balanced Clustering (LBC) algorithm and Dual Data Uploading (DDU) is proposed. At the sensor layer, sensor self-organize themselves in to cluster. All sensor nodes send the data to Cluster Head (CH). In sensor communication, nodes energy level has to be checked at every routing requesting time. The cluster head consumes more energy to collect the data from all sensor node. At the cluster head layer, multiple cluster heads are used to balance the connectivity among the cluster. To save the energy of inter cluster communication multiple cluster head is used. At the mobile collector layer, antenna used to enable two cluster heads to upload data in mobile collector layer by using Multi User Multiple Input and Multiple Output technique. The antenna properly select the polling point in each cluster. After visiting the polling point the antenna will gather the data from cluster head and transport that data to static sink. The data sink is a term used to describe a computer or any other medium capable of receiving data. The result shows that LBC-DDU reducing energy consumption by improving the routing burdens on nodes and balancing workload among cluster head.

Abstract: Cloud computing is a network servers, It outsources large amount of data securely. For data privacy sensitive cloud data have to be encrypted before stored in the pubic cloud. It is done to utilize the data efficiently. Even though, traditional searchable encryption techniques allow user to search over the encrypted data in a secure manner. Order preserving encryption is a powerful tool for encrypting the plaintext. Order preserving encryption follows symmetric cryptosystem. For security ideal object is used. The ideal object is a randomly selected function in order preserving encryption. It is called random order preserving function. Order preserving encryption is to share the relevance score in cloud server. The cloud server specified the keyword and plaintext can be retrieve easily by using the encryption value. In this technique to solve the problem of secure ranked keyword search over encrypted cloud data. The cloud server may reconstruct the distribution of plain text from the differential cipher texts. To overcome this issue one to many order preserving encryption is proposed. It finds the difference between the distribution of cipher texts. The cloud server can only dig into the cipher texts without any other background information. Thus security means that the keywords and documents information are strictly protected.  It helps the cloud server to provide the estimated result.

Abstract: Fingerprint Template based authentication has been widely implemented but still suffers from security and privacy due to information leakage. Bio-cryptosystems provide a solution for both template protection and key management which is to be bounded to the template. In bio-cryptosystems alignment free cryptosystems are used for template protection. Normally fingerprint matching takes place through the template that is stored in the database. To extract the major features for fingerprint matching, minutiae extraction is done. A minutia includes ridge, bifurcation, loop, delta, core...etc. In fingerprint cryptosystems alignment is necessary. In alignment free cryptosystems automatic alignment of templates takes place. This system uses local minutiae structures for verification. But it is not suitable for real time applications and the accuracy level of matching is not satisfactory. In order to increase the accuracy level we propose fuzzy vault fingerprint cryptosystem which uses pair-polar framework. This framework uses repeatable distortion of biometric features to protect the user specific data. Fuzzy vault increases the difficulty of retrieving the original template that is stored in the database. The proposed system performs well among all the systems used for template protection.
Keywords: Bio-cryptosystem, pair-polar, Template, Fuzzy, Alignment.
Title: A Reliable Cryptosystem for Biometric Template
Author: D. Gifty Thomas, C. Anila Gifty
ISSN 2350-1022
International Journal of Recent Research in Mathematics Computer Science and Information Technology
Paper Publications

Abstract: One of the solutions for attributing cyber attack is the IP Traceback, which is used for accounting user traffic and network diagnosis. The existing approaches used for IP Traceback are Marking based approach, Logging based approach and Hybrid approach. While using probabilistic packet marking in IP Traceback, it is difficult to identify the origin of a single packet. To overcome the difficulties in the existing system, Opportunistic Piggyback marking technique has been proposed. Opportunistic Piggyback marking is one of the novel traceback acceleration mechanisms for IP Traceback. The main idea of this technique is to exploit free ride opportunities for expedited and robust delivery of traceback message fragments to end hosts. In this technique, the nodes have to be created and connected each other. Then the marking field allocation is used to browse the message which is to be sent from source to destination. Message fragment delivery selects the smaller bit messages for delivery because the higher bit messages take more time for delivery. The source and destination nodes need to be selected in traceback message triggering to transfer the message. This traceback message triggering can also be used to reconstruct the network path. While sending the message from source to destination, the traffic may occur in any of the path. The Opportunistic piggyback marking technique can be used to identify the traffic. The traffic is identified in the respective path and then the message is send back to the destination. When compared to the existing system, the proposed system reduced the traceback completion delay and router processing overhead, and also increases the message delivery ratio.

Abstract: As a promising data gathering and event monitoring technique wireless sensor network (WSN) has been widely applied to both military and civilian applications. Due to the unreliable wireless passage in WSNs, the packet loss gauge during the conveyance of sensor vertex may be highly variant of time. One of the major critical threads is selective forwarding attack, where compromised nodes can maliciously drop a subset of forwarding packet to deteriorate the data delivery ratio of the network. In this paper a modified channel-aware reputation system with adaptive detection threshold to detect selective forwarding attacks in WSNs. The CRS-A evaluates the data forwarding behaviors of sensor nodes, according to the deviation of the monitored packet loss and the estimated normal loss. Extensive simulation results demonstrate that modified CRS-A can accurately detect selective forwarding attacks and identify the compromised sensor nodes, while the attack-tolerant data forwarding scheme can significantly improve the data delivery ratio of the network.

Abstract: Cloud computing is a convenient model based on shared pool of configurable computing resources. Service capacities are usually regarded to be unlimited in cloud computing, which can be used at any time. However, from the CSP’s perspective, service capacities are not unlimited. Available service capacities change with workload, i.e., they cannot satisfy user’s request at any time when a cloud service is shared by multiple tasks. Only some available time slots are provided for new coming users by CSPs in terms of their remaining capacities. Most of the proposed scheduling algorithm detailed information about tasks such as execution time and remaining time. In this paper, we consider workflow scheduling with deadline and time slots availability in cloud computing. An iterated heuristic framework is presented for the problem under study which mainly consists of initial solution construction, improvement, and perturbation. Three initial solution construction strategies, two greedy- and fair-based improvement strategies and a perturbation strategy are proposed. Different strategies in the three phases result in several heuristics. Experimental results show that different initial solution and improvement strategies have different effects on solution qualities.

Abstract: Power management is used in networking devices in order to prevent too much unwanted interference between different wireless networks. When the powers are fixed for data transmission it takes more power to send fewer amounts of data which increases the interference. To reduce the noise during data transmission the data divided and send through various nodes. Data transmission is based on the bandwidth of every node. Reduce the workload and analyze the minimum power consumption node based on random order value by bandwidth of every node. Optimal resource allocation is important to enhance energy efficiency. Dynamic algorithm is proposed to minimize the total energy consumption of the network by adapting the outage probability specification and it provide worst outage probability guarantees.

Abstract: A palm-print refers to an image acquired of the palm region of the hand. It can be either online image or offline image. Palm-print contains the information such as texture, and marks which can be used when comparing to one palm to another. Palm-print with larger inner surface of hand contains many features such as principle lines, ridges and textures. Palm-print can be used for person identification and commercial applications with high confidence. 3D palm-print method is used in palm-print identification. Although two-dimensional palm-print identification is accurate, the 2D palm-print images do not have much depth information about the image. The results of three-dimensional palm-print technique have high recognition performance. The three-dimensional palm-print recognition has the capability of avoiding replicas and it is more robust to variations by illumination. The 3D feature is binary and more efficiently computed. It encodes the 3D shape of palm-print to either convex or concave. The 3D palm-print matching used a method for encoding 3D palm-print feature. The state-of -art method is used for online palm-print identification. 3D palm-print uses a new method of feature extraction and Matching. The experimental results are available from contactless and contact-based 3D palm-print databases.

Abstract: Smart Home in Smart Apartment is the term commonly used to define a living  that uses a home controller to integrate the residence's various home and building automation systems A system called “Door Automation Security system Using OTP“. In past days the research is gone on various door lock security systems like old security systems which gives the signals in terms of alarm, Some door lock security systems can used and based on microcontroller, GSM, many sensors, software like MATLAB, biometrics like face recognition scanners, RFID, Smart Card , password etc. We want to make a system that will give services (like Providing Alert to registered Owner AND Security guard of apartment). With the help of registered password (The password is divided into two part like first is static password that will know to the owner and second is OTP). This Door Automation Security system Using OTP will give user more secure and low cost way of locking-unlocking system.   

Abstract: Like most of the initiatives, knowledge is the keys to success. E-learning provides access to learning when the source of information and learners are separated by time, distance and both. E-learning fulfils the thirst for information & also offers online content. E-learning provides access to learning when the source of information and learners are separated by time, distance and both. This project provides functionalities such as, if the student is absent, then he or she will be getting all the updates regarding all the lectures held on the respective day itself, by visiting  the site, students will have updates for assignments, regular lecture the learner at anywhere, anytime. E-learning involves all form of electronic E-learning .E-learning fulfils the thirst of knowledge and offer online content that can be delivered to the learner at anywhere, anytime.
Keywords: E-Learning, Online Education, Distance Learning, Learning for Student, Electronic Learning.
Title: Real Time Student Based E-Learning System with SMS Alerts
Author: Rashika Adwani, Kavita Sawarkar, Babita Godi, Shreya Anjikar, Rahul Dudhabaware
ISSN 2350-1022
International Journal of Recent Research in Mathematics Computer Science and Information Technology
Paper Publications

Abstract: In metropolitan areas, parking management influences drivers search time and cost for parking spaces, parking revenue and traffic congestion. In order to address problems associated with parking, various smart parking systems aiming to satisfy the drivers and parking providers needs have been developed. Based on the observation that parking space reservation can help drivers to reduce the search time dramatically, we are going to design and implement a prototype of Reservation-based Smart Parking System that allows drivers to effectively find and reserve the vacant parking spaces by generating ‘Unique Code’. With the real time tracking of parking status via various sensing technologies and android communication, a smart parking system will dynamically update the parking price according to the physical parking status, and the parking price will affect driver’s decision on parking slot selection, therefore, affect the status of parking. With the motivation to alleviate the parking contention, balance the benefits between parking service providers and drivers, coordinate among service providers, differentiate the needs of individual drivers, and reduce the amount of traffic searching for parking.

Abstract: In this paper, we propose an Adaptive Model using MAS. The MAS represented by three principal agents that allow adapt roles based on humans’ requirements. The model describes explicit interactions between the elements of the system; these elements may reflect feedback from the system allowing adaptability at any moment and circumstances to be ready to the complexity of the real world.

Abstract: In hybrid wireless network, efficient data routing protocol used to maintain reliable communication in network. While various routing protocol suffer from lower reliability, congestion in routing, overhead in base station, lower scalability. This paper proposed distributed three-hop routing protocol for hybrid wireless network. DTR provides result for balancing the load between base stations through congestion control algorithm. The propose routing protocol, used shortest path distribute multipath routing protocol for hybrid wireless network which evaluate multiple path between source node to destination nod. For that, DTR divide message data into segment and then transmit it to distributed manner. Further, DTR sends segment to one or more base station to increase throughput capacity and performance to make use of these base stations.

Abstract: Mobile Computing provide users with greater opportunity to manage data and access information and services stored on the Internet and central repositories, regardless of users' physical locations and movement behaviours. Field officers in sugar companies spend more than 50% of their time in the field have their appropriateness of mobile computing in their working. However, field operations and services often experience extensive delays or rework due to information that is unavailable, inaccurate or out dated as a result of manual processes thus leading to production inefficiencies. This study proposed to explore the extent of adoption of mobile technologies for ubiquitous Data Management within Sugar Companies in Kenya. This was achieved through determining usability of mobile computing technologies, establishment of utilization of mobile data management, assessing challenges affecting adoption of mobile computing for ubiquitous data management and eventually proposing an optimum strategy for use of mobile computing for ubiquitous data management within sugar companies in Kenya. The study employed largely survey design. The study sample of 325 workers was selected from two sugar factories in Kenya comprising of 240 Extension officers, 2 Strategy managers, 6 Business systems managers and 40 system active users. The study found out that; Network Capability, Security, Data & services Portability and policy formulation ranked top as critical elements in an enterprise mobility framework. The study established that though a majority of workers had knowledge of mobile technology, just slightly above half of them indicated that they do use mobile technology for data management. The study also found out that though most business operations in sugar companies depend on mobile technologies and data management, most of the transactions are undertaken using desktop computers and not mobile devices. However, most workers appreciate mobile technology as effective for data management. It was also found out that management support for mobile computing was not significant. The study further established that mobile computing adoption was hindered in the sugar industry by inadequate technological infrastructure and concerns about security of information. The study developed a framework for adoption of mobile computing for ubiquitous data management in sugar companies in Kenya. This research creates a platform for developers around mobility with ubiquitous computing as the next computing generation to improve on mobile solutions that are geared towards production efficiency in other organizations in Kenya. The developed framework if used can help factories improve on their operational and production efficiency. The findings of the study are also critical for policy makers on enterprise mobility and integration with IT governance.

Abstract: Smart helmets as a subsequent step to human safety, is one of the great challenges in the area of active safety for two wheelers. Two wheeler road accident is on the rise from past few years. According to report of National Crime Records Bureau (NCRB) year 2014, the total annual deaths had crossed 4.51 lakhs. Through our project we aim to mitigate the probability of the deaths caused in two wheeler accidents.
In this project, we proposed a WSN based solution which restricts the driver to wear helmet while riding a two wheeler. Unlike the current solutions i.e. the expensive smart helmets that use high level Artificial Intelligence and also rely on heavy infrastructure. In our vehicular safety solution there is only a tiny low cost sensor that is deployed, which will be used to detect the presence of helmet on the rider's head.
The communication between the sensors and vehicle will be achieved using Bluetooth / WIFI connectivity and through a micro controller (programmable device) such as Arduino Uno. For pairing the helmet, authentication will be done using RFID tags. It can also serve as an alternative solution for unsophisticated vehicles that are not equipped with on board computers and cannot take advantage of the current Intelligent Transportation System and Services. To illustrate the basic idea of our system, our main focus is to ensure that the driver has a helmet ON, to start vehicle.

Abstract:Prime numbers less than one trillion are probed for occurrence of digit 2 in them. Multiple occurrences of 2’s are investigated. The first and last instances of occurrence of all possible repetitions of 2’s in them are determined within blocks of higher powers of 10 till 1 trillion.