Abstract:A wormhole assault is especially hurtful against steering in sensor systems where an assailant gets bundles at one area in the system, passages and afterward replays them at another remote area in the system. A wormhole assault can be effortlessly propelled by an aggressor without bargaining any sensor hubs. Since a large portion of the steering conventions don't have systems to shield the system against wormhole assaults, the course demand can be burrowed to the objective region by the aggressor through wormholes. Along these lines, the sensor hubs in the objective zone construct the course through the assailant. Afterward, the assailant can alter the information, messages, or specifically forward information messages to disturb the elements of the sensor arrange. In this work we show another approach to identify wormhole assaults in MANET. Our location is basic and productive. We require neither GPS gadget, nor clock synchronization which are the fundamental restrictions of the other existing arrangements. Also, our recognition can be effortlessly actualized convention or in any neighbor revelation convention for MANET. We don't present any new messages. Along these lines, the overhead of the arrangement is restricted to the additional data (timestamps) attached to the Hello messages.

Keywords:Mobile Ad-hoc Network (MANET), Wormhole attack, Malicious node

Abstract:Tourism has been noted to be one of the important sectors of the Nigerian economy. Tourism is a highly complex activity which requires tools that aid in an effective decision-making to come to terms with the competing economic, social and environmental demands of sustainable development. Geographic Information System (GIS) is one of such tools. GIS being an information system that is capable of answering questions about where facilities and resources are located represents enormous benefits to the tourism sector of any economy. The power of GIS lies not only in the ability to visualize spatial relationships, but also beyond the space to the holistic view of the world with its many interconnected components and complex relationships. The use of GIS technology could assist Bauchi State government as well as the Nigerian government with better planning of tourism infrastructure, location and dissemination of such infrastructure, production of better quality maps showing tourists sites abound in the country because of the dynamic capability of GIS tools to incorporate changes that occur over time to its database. A GIS database for tourism in Bauchi State was created using some selected roads, tourist attractions and facilities with the aid of base maps and GPS. This paper presents the significant role that GIS can play in tourism development in Bauchi State if a complete database for tourism in the State is designed and developed.

Keywords:GIS, Tourism, Bauchi, Nigeria

Abstract:Human intestinal parasites constitute a problem in most tropical countries, causing death or physical and mental disorders. Their diagnosis usually relies on the visual analysis of microscopy images, with error rates that may range from moderate to high. The problem has been addressed via computational image analysis, but only for a few species and images free of fecal impurities. In routine, fecal impurities are a real challenge for auto maticimageanalysis. This problem can be solved by a method that can segment and classify, from bright field microscopy images with fecal impurities, the 15 most common species of protozoan cysts, helminthes eggs, and larvae . This approach exploits ellipse matching and image foresting transform for image segmentation, multiple object descriptors and their optimum combination by genetic programming for object representation, and the optimum-path forest classifier for object recognition. The results indicate that this method is a promising approach toward the fully automation of the enteroparasitosis diagnosis.

Keywords:Image Foresting Transform (IFT), Optimum Path Forest , Image Segmentation.

Abstract:A location-aware news feed (LANF) system generates news feeds for a mobile user supported their abstraction preference (i.e., their current location and future locations) and non-spatial preference (i.e., their interest). Existing LANF systems merely send the foremost relevant geo-tagged messages to their users. unfortunately, the key limitation of such associate existing approach is that, a news feed might contain messages related to identical location (i.e., point-of-interest) or identical class of locations (e.g., food, diversion or sport). We argue that diversity may be an important feature for location-aware news feeds as a result of it helps users discover new places and activities. In this paper, we propose News-Feed; a replacement LANF system allows a user to specify the minimum variety of message classes (h) for the messages in a very news feed. In News-Feed, our objective is to with efficiency schedule news feeds for a mobile user at their current and expected locations, such (i) every news feed contains messages happiness to a minimum of h completely different classes, and (ii) their total connectedness to the user is maximized. To attain this objective, we formulate the matter into 2 components, namely, a choice drawback and an improvement drawback. For the choice drawback, we offer a definite answer by modeling it as a most flow drawback and proving its correctness. The improvement drawback is resolved by our projected three-stage heuristic formula. we conduct a user study and experiments to estimating the performance of NewsFeed employing a real information set crawled from Experimental results show that our projected three-stage heuristic planning formula outperforms the brute-force optimum formula by a minimum of associate order of magnitude in terms of period of time and also the relative error incurred by the heuristic formula is below 125th. News-Feed with the placement prediction methodology effectively improves the connectedness, diversity, and potency of reports feeds.

Keywords:Android smart phone, GPS

Abstract:File signatures are computed to improve the efficiency and effectiveness of the Intrusion Detection System. File Signatures are generated using Hashing Method and Superimposed Coding technique. This paper discusses the techniques that works fast and efficiently in detecting the malicious users. DARPA data set is used to apply these techniques to find out the intruders through IDS. The performance of the similarity search algorithm is efficient since all the signatures are in the binary format and computations are done by low level logical operations[1]. Clustering and Similarity search techniques are applied to increase the efficiency of the Host-Based Intrusion Detection System.

Keywords:File Signatures , Intrusion Detection System, Hashing Method, Superimposed Coding Technique, Similarity Search.