Published in 2015
T.Saranya, M.Preetha
The rapid development of wireless networks has stimulated numerous wireless applications that have been used in wide areas such as commerce, emergency services and entertainment. The number of WiFi capable mobile devices including laptops and handheld devices has been increasing rapidly. As wireless communication gains popularity, significant research has been devoted to supporting real-time transmission with stringent Quality of Service (QoS) requirements for wireless applications. At the same time, a wireless hybrid network that integrates a mobile wireless ad hoc network (MANET) and a wireless infrastructure network has been proven to be a better alternative for the next generation wireless networks. The second algorithm implement to distributed packet scheduling algorithm to further reduce transmission delay, third algorithm implement to a mobility-based segment resizing algorithm that adaptively adjusts segment size according to node mobility in order to reduce transmission time, fourth algorithm implementation to a traffic redundant elimination algorithm to increase the transmission throughput, and last implementation to a data redundancy elimination-based transmission algorithm to eliminate the redundant data to further improve the transmission QoS.
Hybrid wireless networks, multihop cellular networks, routing algorithms, quality of service
R.Sundaresh, K.Ranjith Singh, N.Satheeskumar
A comparator is a combinational device that sorts two keys. Namely, it has two incoming edges and it receives a key from each one of them. It has two outgoing edges of distinct types; a min edge and a max edge. It transmits the minimal key on the min edge and the maximal key on the max edge. Clearly, a network has the same number of input edges and output edges. To specify how an input sequence should be fed into the network, the input edges are arranged as a sequence. Similarly, the output edges of a network are arranged as a sequence to specify how the network’s output is interpreted as a sequence. The notion of a network implies nodes and links. The nodes can be people, teams or even organizations - networks operate at many levels. Common examples are distributed geographic teams in large organizations, or small organizations operating as networks to compete against large corporations. The links are the various coordination and "agreement" mechanisms. In a network, high degrees of informal communications (both face-to-face and over electronic networks) achieve success where formal authority and communications in hierarchical organizations often fail. Two way links and reciprocity across the links are what makes networks work.
Public-key cryptography, Field programmable gate array, business process reengineering
K.Ganeshbabu
In this paper the role of big data in bioinformatics is the biological data to extract hidden valued information plays an important role in making critical decisions across every branch of science, whether it is genomics or proteomics or metabolomics or personal medicine. For example, the genome sequence of the patients contains much valuable information about the myriad of disease causes, easy extraction of which from the sequences will enable science to develop patient- specific medicine, thereby accelerating curing process and minimizing drug’s side effects. Today, true solutions of the several problems in the biological field are hidden in the analysis of exponentially increasing data, so-called Big Data. Big data has become currently hot and open issue for the biological community to handle, collect, store, analyze and manage such vast amount of data. Due to this, the computing Big Data has become the new paradigm of the science and big data in bioinformatics. While, big data is playing central role in the continuity of the progress of research in the biological field, but it presents challenges in terms of scalability, complexity, privacy and security. Big Data in the biological field have revolutionizing power to bring dramatic changes in our current understanding about several solved and unanswered problems. With these emerging big data, bioinformatics field is also evolving continuously. This paper presents the concept of biological big data and its associated challenges in the bioinformatics field which will provides a snapshot of the importance of biological big data in the bioinformatics future research.
Big Data, Bioinformatics, privacy, security, genomics, and proteomic
P.Monalisa, M.Sasikumar
Development of authorization mechanisms for secure information access by a large community of users in an open environment is an important problem in the ever-growing Internet world. In this paper we propose a vibrant dynamic trust model for user authorization, rooted in findings from social science. Unlike most existing computational trust models, this model distinguishes trusting belief in integrity from that in competence in different contexts and accounts for subjectivity in the evaluation of a particular trustee by different trusters. Simulation studies were conducted to compare the performance of the proposed integrity belief model with other trust models from the literature for different user behavior patterns. Experiments show that the proposed model achieves higher performance than other models especially in predicting the behavior of unstable users.
Trust model , Integrity trust ,Competence trust, network users
Anil Kumar S, Muralidharan K B
Adaptive Learning Systems, as in Robotics, require taking most optimized decisions dynamically, based on the feedback from their environment. Also they have to enhance their knowledge by experience and represent the knowledge in a reusable form. Developing the actual models of such self learning systems is quite complex, expensive and time consuming. Concepts from certain gaming and gamification models exhibit resemblance to solution models of several real world problems. A model driven approach is helpful for formulating reusable meta-models from simpler and affordable gamification models which exhibit almost similar characteristics as in the actual solution models. Experimental learning with such meta-models will help to formulate the strategy for optimizing the actual solution models as well. This study explores the scope and challenges of applying model driven approach while architecting Reinforcement Learning Solutions using meta-models from Gaming and Gamification. Simple analogies are illustrated with Gamification Models derived from gaming meta-models based on Gin Rummy Game.
Reinforcement Learning, Model Driven Architecture, Meta-models, Gamification,Clustering,Gin Rummy
S.Saveetha, S.Saravanan
Association rule mining, vital techniques of data mining. It aspires at searching for interesting relationships among items in a large data set or database and discovers association rules among the large no of item sets. ARM aims to analyze frequent patterns, associations or casual structures among sets of items in the transaction databases or other data repositories. Data mining can perform these various activities using its technique like clustering, classification, prediction, association learning etc. The significance of ARM is mounting with needs of finding frequent item set from huge data sources. Association rules are widely used in various areas such as networks, market and risk management, inventory control etc. This paper aims at giving a theoretical survey on some of the existing algorithms.
Association rule mining, Apriori, Itemsets, Support, Confidence
J. Jagadeesan, Dr. N.Venkatesan
In computer programming, an application programming interface (API) is a set of routines, protocols, and tools for building software applications. An API expresses a software component in terms of its operations, inputs, outputs, and underlying types. An API defines functionalities that are independent of their respective implementations, which allows definitions and implementations to vary without compromising each other. A good API makes it easier to develop a program by providing all the building blocks. A programmer then puts the blocks together. In addition to accessing databases or computer hardware, such as hard disk drives or video cards, an API can ease the work of programming GUI components. For example, an API can facilitate integration of new features into existing applications (a so-called "plug-in API"). An API can also assist otherwise distinct applications with sharing data, which can help to integrate and enhance the functionalities of the applications.
API, maps
D. Jeyakumari, Dr.D. Somasundareswari, D.Suganthi
Image segmentation is a major technology in image processing and computer vision application. It is used to enhance the capabilities of image, computer processing application and improve the feature of color image. Color image segmentation methods as an extension of the gray scale image segmentation method in the color images, but lot of original gray scale image segmentation method cannot be applied to the color images. It is necessary to improve the method according to the color image which improves the feature of information used in color image segmentation. This paper proposes a modified watershed algorithm and region merging of Color images. The proposed Segmentation method with the combination of edge detection algorithm, filtering, watershed algorithm and region merging can obtain superior results than other segmentation methods
Image segmentation,edge detection,watershed algorithm,region merging
S.N.Sharmila, M.Preetha
Forensic document the strategy for examination of different unlawful acts by computer based techniques is called as computerized scientific investigation. A huge number of records are generally inspected in computer forensic investigation. The greater part of the information in that advanced records are fundamentally unstructured. To handle or investigation of this expansive, unstructured information by inspectors is hard to be performed and drawn out. Many calculations or algorithms are applied for document clustering can encourage the revelation of new and helpful learning from the archives under examination. Clustering algorithm are key piece of this work in which number of unstructured records are given as an input and the yield is organized document position. We exhibit a methodology that applies clustering algorithm of documents to measurable examination of seized computers in examinations. One particular calculation is not a Cluster examination itself but rather the general undertaking to be explained. Different algorithms are utilized that essentially vary as a part of their idea of what they constitute a group. We characterize the proposed methodology with K-Means algorithm and hierarchical algorithm. Likewise we can create number of clusters dynamically and cluster labeling. The execution of computer for examining a few documents is enhanced in our test approach.
Clustering, Forensic Analysis, Unstructured Documents, Clustering Algorithm.
A.Senthilkumar, K.Ravikumar
Collection of autonomous computers referred as Computer Networks consists of various devices that are
attached to it needs to be completely secured from inside or outside threats. Threat an unwanted assault must be
mitigated in all measures by applying various cryptographic algorithms or models. Similarly, an attack is also an
important issue to be considered in networks both in case of wired or wireless mode of network arrangements. In
general Replay Attacks includes most vulnerable attack in case of wireless networks particularly, Wireless Sensor
Networks. We first propose the categories of attacks in the section one followed by the hardware architecture that
explains the sensor network arrangement in section two. This research proposal suggests the modular arithmetic to
identify the intruder detection analysis to pinpoint the adversaries where the networks are spoofed by false IP injection
packets in order to compromise the networks. Till date necessary authentication scheme are applied in various modes to
identify the intruding effect but applications are subject to vulnerable because of wireless modes. Normally, hacking
gets easily applicable in wireless devices due to the shared nature of the wireless medium, also through modifying the
Media Access Control (MAC) address of the network. This issue can be solved by the new proposal of modular arithmetic
approach which exactly identifies the intruder and blacklist them in order to quarantine them like a viral scanner tool in
section three. Further sections depict the pre-implementation procedure to notate the findings in order followed by
analysis that narrates the pinpoint inference of the attacks detected and solved. Any sensor node that is compromised
can be arranged through this modular arithmetic fashion but still the deployment cannot be possible in the initial stage.
The existing architectural pattern of sensor node arrangement is random, but security arrangements can be dynamic
and it is up to the organization to decide in infrastructural needs. The cost of node arrangement can also be considered
in the feasibility stage. The research proposal and the model can be applicable to any Advanced Encryption Standard
[AES] algorithms in the near future.
Replay attacks, Modular Arithmetic, Sensor Networks, Threat, Nonce
Dr.I. Lakshmi, G.D. DhanaLakshmi
5G Technology stands for 5th Generation Mobile technology.5G is a name used in some research papers and projects
to denote the next major phase of mobile telecommunications standards beyond the upcoming 4G standards. Currently, 5G is
not a term officially used for any particular specification or in any official document yet made public by telecommunication
companies or standardization bodies such as 3GPP, WiMAX Forum or ITU-R. New standard releases beyond 4G are in progress
by standardization bodies , but at this time are not considered as new mobile generations since implementation and rollout of
systems compliant with 4G is still under way; the goals of a 5G-based telecommunications network would ideally answer the
challenges that a 4G model would present once it has entered widespread use.
Flat IP Network, BDMA, 5G Architecture- Nanotechnology, Cloud Computing.
M.Kavitha, P.Balamurugan
Wireless sensor networks have enabled data gathering from a huge geographical region, and present
unprecedented opportunities for a wide range of tracking and monitoring applications from both civilian and military
domains.WSN can be viewed as a closed user group and therefore the application of symmetric cryptography seems
sufficient. However, since sensor nodes are often deployed in an unattended or even hostile environment, an adversary
may compromise a sensor node to access stored keys and compromise the security of the communication in the whole
group. If a query result that a storage node sends to the sink includes forged data or excludes legitimate data, the query
result is guaranteed to be detected by the sink as invalid. In this paper we get survey of more integrity techniques also
we discussed about Symmetric Key Encryption Techniques.
Wireless sensor Networking, privacy, integrity, Encryption, symmetric key