This article is proposes a new approach to the transmission of signatures of network attacks onto a remote Internet resource. The problem is that the known protocols that are used for transfer data and control actions from an administrative resource to a network agents are poorly protected. Even in case of use of cryptographic mechanisms for organization of secure connections, it is possible to form behavioral patterns of interactions such as "administrative resource - network agents." Such templates allow to predict the actions taken in accordance with the security policy in order to maintain the required level of functionality of a remote Internet resource. Thus, it is necessary to develop a new protocol for the transfer of designated information, based on information technology, which level out the existence of opportunities for the formation of behavioral patterns of network interactions. As such technology, it is proposed to use a set of means of network interaction and some methods of hidden (steganographic) data transmission in information and telecommunication networks.

As the result of increasing use of internet in daily communication and the importance of information security during data storage and transmission process, we propose iterative Chaotic Genetic-fuzzy Encryption Technique(C-GET) in order to enhance secured encryption technique and less predictable. In this technique,binarize any digital data type. The main encryption stages of C-GET are chaotic map functions, fuzzy logic and genetic operations. Mathematic operations and rotation are also included that increase encryption quality. Images are used for testing propose. For testing C-GET,digitalimagesareusedbecause they become an important resource of communication. The original and reconstructed data are identical. Experimental results show that C-GET technique has multilayer protection stages against various attacks and a powerful security based on the multi-stages, multiple parameters, fuzzy logic and genetic operations. Decrypted data is nearly randomness and has negligible correlation with secret data.

In this paper, we present two different methods to implement 1-bit full adder namely MTJ based full adder design also called MFA and Lector method based full adder design. These adders are designed and implemented using CADENCE Design Suite 6.1.6 Virtuoso ADE. The implemented design is verified using CADENCE ASSURA. The performance is measured for 45nm technology and a comparative analysis of transistor count; delay and power of the adders were performed. When compared with the previous MFA the proposed MFA overcomes the SEU error which is a result of body biasing. In Lector technique the transistor density is reduced by implementing the sum logic in terms of carry thus reducing the area. In order to attain the complete logic levels buffers are introduced at the sum and carry outputs of both Lector and MFA. The Lector method uses less number of transistors when compared with proposed MFA, but the proposed MFA is efficient because it achieves minimum power dissipation when compared to the Lector method.

Naval military units are convoluted frameworks required to work in specific time periods in seaward assignments where support operations are radically restricted. A decline at the time of mission is an analytical fact that can radically impact the mission achievement. The choice of changing a unit to a mission subsequently requires complex judgments including data about the well being status of hardware and the natural conditions. The present system expects to help the choice about changing a unit to a mission considering that ambiguity and unpredictability of information by methods of fuzzy concepts and imitates the selection procedure of a human trained by means of a rule-based inference system. A numerical application is introduced to demonstrate the viability of the approach.

The load scheduling is one of the prime concerns for the computation of tasks in a virtual distributed environment. Many meta-heuristic swarm based optimization methods have been developed for scheduling the load in cloud computing environment. These swarm intelligence based algorithms like PSO play a key role in determining the scheduling of the cloudlets on the VMs in the datacenter. Gravitational Search algorithm based on law of gravity schedules the load in an effective manner. Its potential has not been utilized in cloud for load scheduling. This paper proposes a linear improved gravitational search algorithm in Cloud (LIGSA-C). This presents a new linear gravitational function and cost evaluation function for cloudlets using gravitational search approach in cloud. The results are computed by particles for scheduling 10 cloudlets on 8 VMs in the cloud. The detailed analysis of the result is performed. This paper states that LIGSA-C outperforms the existing algorithms like GSA and PSO for minimized cost.

Mobile Ad-Hoc Networks are very flexible networks, since they do not depend on any infrastructure or central authority. Due to this property, MANETs are highly ubiquitous in defense, commercial and public sectors. Despite the usage, MANET faces problems with security, packet drops, network overhead, end-to-end delay and battery power. To combat these shortcomings, we have proposed a new trust based on-demand routing protocol that can adapt to the specific energy conditions of nodes in a MANET. It uses the concept of fidelity which varies depending on packet drops. This fidelity is monitored through direct and indirect methods. The main aim of the protocol is to develop a model that considers both trust and battery power of the nodes, before selecting them as prospective nodes for secure transmission of data. With dynamic battery threshold calculations, the nodes make an intelligent choice of the next hop, and packet losses are effectively minimized. In addition to providing data origin authentication services, integrity checks, the proposed “Intelligent Energy Aware Fidelity Based On-Demand Secure Routing (IEFBOD)” protocol is able to mitigate intelligent, colluding malicious agents which drop packets or modify packets etc. that they are required to forward. New packets called report and recommendation have been used to effectively detect and eliminate these malicious nodes from a network. Our protocol has been compared to other existing secure routing protocols using simulation, and it displays improved performance metrics, namely high packet delivery fraction, low normalized routing load and low end-to-end delay.

The entire networking society is tremendously moving towards the IPv6 addressing architecture leaving behind the IPv4 address space. This happens due to the tremendous growth of Internet usage over the networking. The government has mandated that all the devices would be IPv6 compatible as the delay in the deployment of IPv6 would result in the negative impact of future growth and global connectivity of the internet. In this paper we are dealing with the impact of different interfaces like IPv4 only, IPv6 only and Dual stack mechanism over wireless networks with varying PHY and MAC layer interface of 802.11 a/g and 802.11 b standards. The results are simulated over Qualnet 5.1 simulator with various parameters like throughput, delay, jitter and packet delivery ratio is been calculated.