In modern days, the rapid growth of information technology and the increase of internet access. Information security issues have increased extensively. With the reference of vulnerability database, information security related investigator and managing persons will make effective information for repairing security holes in software and hardware. They can accelerate defensive measures, and assist analysis of such attack. This information can provide the important reference direction for events forensic and follow up trace, and moreover reduces the rate of information security issues. The purpose of this paper focuses on the integration of various vulnerability databases. Through an automatic retrieval system for retrieving and comparing data with different vulnerability databases. Among of vulnerability information, the system tries to separate the differences, compile similar vulnerability information, and carry out repetitive updates. This study looks forward to providing more complete information, and combine with Google translation service that will translate a portion of the vulnerability information into the verbal communication which users can easily understand. The system provides user’s internet subscriptions, a keyword notification from email and search function, makes reference and use of the vulnerability information more useful and suitable.

Wireless mesh network (WMN) is a broad network of heterogeneous structure. It contains different type of clients connected through routers as well as gateways. WMN, due to its wide area, heterogeneous nature, auto configured prone to many vulnerabilities at different levels. Many security solutions have been deployed in telecommunication. All of these solutions are vulnerable to security threats. The paper reviewed the virtual private network (VPN) and its impact on the performance and defending mechanism from attacks. Different type of VPNs is described in this paper and their impact on functioning.

Virtual systems and virtualization technology [1] is taking the momentum nowadays in data centers and IT infrastructure models for resources management. Performance analysis of such systems is very invaluable for enterprises but yet is not a deterministic process. Single workload benchmark [2] is useful in quantifying the virtualization overhead within a single Virtual Machine (VM), but not useful in whole virtualized environment with multiple isolated VMs and varying workload on each can’t capture the system behavior. We need a common workload model and methodology for virtualized systems so that benchmark results can be compared across different platforms. Inorder to achieve this, resources need to be managed either physical (computer, disks, databases, networks, scientific instruments) or Logical (jobs, executing applications, complex workflows etc). The paper deals with the key requirements and characteristics of virtual systems performance metrics and workload characterization that can be considered one step further in implementing virtual systems benchmark and performance model that describe the effect of the applications, host operating system and the hypervisor layer on the performance metrics of virtual workloads.

Video is the most recommended media for information dissemination in VANETs (Vehicular Adhoc NETworks) as it gives clear and quick understanding of information to the drivers. The real time and on-demand videos help people on move in various possible ways. The real time videos which give information on any critical events like accidents, traffic congestion etc. assist the drivers in making better decisions for their further mobility. The on-demand videos engage the passengers with its infotainment services like gaming, conferencing etc. The timely arrival of data at the receiver to avoid playback freezes is an expected significant feature in the video dissemination. When the arrival of the video data is untimely, the quality of the video playback is compromised many a times. Thus, achieving a good quality video reception with strict delay requirements at the receiver is a challenging research area in VANETs. This paper surveys the various techniques used to achieve a better performance in streaming of videos.

In wireless networks, efficient management of mobility is a crucial issue to support mobile users. Mobile IP is the framework of wireless data networking on The Internet. Mobility management is hard to come by on the Internet since the Internet depends on the distributed nature of networks and location information is distributed around the Internet. Currently, a lot of research efforts are being created to improve Mobile IP mobility management. The Mobile Internet Protocol (MIP) has been proposed to support global mobility in IP networks. Several mobility management strategies have been proposed which aim reducing the signaling traffic related to the Mobile Terminals (MTs) registration with the Home Agents (HAs) whenever their Care-of-Addresses (CoAs) change. They use different Foreign Agents (FAs) and Gateway FAs (GFAs) hierarchies to concentrate the registration processes. For high-mobility MTs, the Hierarchical MIP (HMIP) and Dynamic HMIP (DHMIP) strategies localize the registration in FAs and GFAs, yielding to high-mobility signaling. The Multicast HMIP strategy limits the registration processes in the GFAs. For high-mobility MTs, it provides lowest mobility signaling delay compared to the HMIP and DHMIP approaches. However, it is resource consuming strategy unless for frequent MT mobility. Hence, we propose an analytic model to evaluate the mean signaling delay and the mean bandwidth per call according to the type of MT mobility. In our analysis, the MHMIP.

In packet switched networks, such as Transmission Control Protocol/Internet Protocol (TCP/IP) networks, data from the source travels through a number of intermediate nodes to reach the destination node. If the service rate at the intermediate nodes is less than the arrival rate of the packets, then the packets are queued in a buffer at the intermediate nodes. In practice, since the buffer’s size is finite, packets may be dropped or experience high queuing delays. This phenomenon of congestion is detrimental to the performance of the network. TCP sources decrease their packet sending rates when packets are dropped. If the intermediate nodes drop packets only when their queues are full (Drop Tail technique), then it would cause global synchronization between the TCP flows. Furthermore, they would not be able to effectively handle bursty traffic flows. Active Queue Management (AQM) methods drop packets randomly, even before the queue is full; thereby alleviating the problems due to Drop Tail. Hence, these techniques play an important role in controlling congestion in TCP networks. TCP protocol that are commonly utilized in nowadays network: Droptail and RED. Droptail is easy to implement but has the problems of lockout and synchronization; RED is complicated but it avoids congestion in advance and reduces the average queue size. Most researches concentrate on the performance of the two algorithms in wired network. But in this dissertation, we discuss the performance, i.e. hroughput, in wireless network. The results indicate that RED has no superiority compared to Droptail with different amount of nodes and packet loss probability in wireless network. In the future, researchers can optimize RED or develop other algorithms fit for wireless network.

Recently, cooperative communication which achieves spatial diversity by virtually using the relays as supportive antennas for the original transmission is shown to achieve higher throughput and reliability. In cooperative communication, the choice of the relay node plays a very important role for improving the network performance. Most of the relay selection algorithms developed so far includes exhaustive search among all the possible relay node assignments to find the best possible relay for cooperation. In this paper, we provide energy efficient and congestion controlled relay selection algorithm ECRA which selects the best possible relay for transmission while maintaining the polynomial time complexity provided by the optimal relay assignment algorithm.

In Wireless network, intrusion detection has become a crucial factor in any useful security required wireless network. Recently it gained sharp attention in both research and industry communities due to widespread use of Wireless Local Area Networks (WLANs). An anomaly is a deviation from the norm; a strange condition, situation, or quality; or an incongruity or inconsistency. An important point to remember is that not every anomaly represents a malicious event. False positives have historically caused problems with anomaly-detection solutions. This paper represents the comparative analysis on different analytical techniques of data mining applied on same WLAN log. The wireless network log termed as a data set which has 13 attributes with 1000 instances for anomaly detection. This paper shows which machine learning gives best optimized result for anomaly based intrusion detection. Data Mining is the non-trivial process of identifying valid, potentially and understandable patterns in the form of knowledge discovery from the large volume of data. The main aim of this process is to discovering patterns and associations among preprocessed and transformed data. Data mining provides very different techniques. This research focuses on the performance mapping of different machine learning supported by different data mining tools. This analytical works aimed to focus on the false alarms when any intrusive activities performed. The analytical results focus on the anomaly based intrusive activities in given log. So the rate of occurring these type of activities are reduced.

In this paper, triple band rectangular microstrip antenna with two vertical rhombus shaped slot (TBRMA2VRS) is designed and developed for S and C band frequency applications. The triple bands are obtained by etching two rhombus slots on the patch surface. The impedance bandwidth of secondary band is enhanced from 2.06% to8.54% by replacing the two rhombus slots. The radiation patterns measured on microwave bench setup for the proposed antennas are found to be broadsided, linearly polarized and are similar to the pattern of conventional RMSA. The antenna design procedure and results are presented and discussed.