Phishing is one of the biggest crimes in the world and involves the theft of the user’s sensitive data. Usually, phishing websites target individuals’ websites, organizations, sites for cloud storage, and government websites. Most users, while surfing the internet, are unaware of phishing attacks. Many existing phishing approaches have failed in providing a useful way to the issues facing e-mails attacks. Currently, hardware-based phishing approaches are used to face software attacks. Due to the rise in these kinds of problems, the proposed work focused on a three-stage phishing series attack for precisely detecting the problems in a content-based manner as a phishing attack mechanism. There were three input values—uniform resource locators and traffic and web content based on features of a phishing attack and non-attack of phishing website technique features. To implement the proposed phishing attack mechanism, a dataset is collected from recent phishing cases. It was found that real phishing cases give a higher accuracy on both zero-day phishing attacks and in phishing attack detection. Three different classifiers were used to determine classification accuracy in detecting phishing, resulting in a classification accuracy of 95.18%, 85.45%, and 78.89%, for NN, SVM, and RF, respectively. The results suggest that a machine learning approach is best for detecting phishing.

Abstract. The Topographic maps and Aerial Photographs are used for morphometric analysis of drainage basins and mapping contours with drainage. The stereo pairs of 2.5 m resolution Cartosat 1, Indian satellite 2 and merged data with 5.5 m resolution P6 Resourcesat 1 LISS 4 Indian satellite of 2001 is used to map, rills, gullies, and streams of first order to evaluate part of drainage basin of Cooum and Poondi Reservoir in Thiruvallur taluk of Tamil Nadu state. The Geo Eye latest 2011data is also used with Catrosat 1Stereo data to study present morphology of tiny micro watersheds to study the use of High resolution data for delineation and codification of watersheds. This study area is in an inter fluvial drainage basin of Cooum and Kusasthalai rivers. Kusasthalai river drains in Poondi reservoir which is about 50 km from Chennai. The excess water from Kosasthalai is also diverted through Kesawaram weir to Cooum river which passes through Thiruvallur and Chennai city before it's confluence with Bay of Benegal in the east. As Cooum basin is at higher elevation, water for irrigation is again diverted through chain of tanks to Kusasthalai river basin to drain in Poondi reservoir. Delineation of water sheds in this fluvial basin is difficult by manual survey as man made irrigation channels, natural drainage streams etc., have to be clearly identified. The streams of various orders are identified based on Strahler stream order hierarchy of tributaries, slops and contours using large scale satellite data. The micro water sheds are delinated identifying the ridges from Catrosat data for this interfluves basin which has mild slop. To illustrate this research, parts of two micro watersheds which were delineated using 1:50000 data for Tamil Nadu watershed Atlas up to 7th order streams are taken up for a detailed study using high resolution data. 19 Micro watersheds with streams up to 10th order are mapped. The capability of high resolution satellite data for digital as well as visual interpretation in conjunction with village cadastral maps has been studied. This research will be useful to consider creation of digital micro watershed atlas for management and protecting area affected by floods as well as for water and land resource management of the River basins in Queensland, New South Wales, South Australia and Victoria states of Australia. The research explains the need of using stream orders, delineation and codification micro watersheds based the principles of Dr.A.N.Khosla. This methodology was used in creation of web site of Districts soil water sheds atlas of Tamil Nadu state. With this principal of codification and delineation of watersheds based on stream order using stereo data of Cartosat 1 PAN 2.5 m data merged with Resourcesat LISS 4 data of 5.5m resolution and updating latest changes as on 2011 with non stereo Geo eye data of 0.5m resolution it is possible to create Australian micro water sheds GIS with deatils of streams with various stream orders, drainage pattern, slope, micro water sheds boundary in 1:5000 scale to manage the flood prone drainage basin in Australia. The High resolution data of satellites data apart from creation Micro watersheds GIS can be used for creation of Urban and Argicultural land parcel owenership details in Micro watershed GIS.

Abstract. Thiruvallur town is about 44 km from Chennai in Tamil nadu state of India with a population of 130000 , covering 10.75 sq km area. It is about 2km from Sri Venkateswara College of Engineering and Technology. It was Taluk (Sub Division'.s) head quarters and from 1991 it was upgraded as District head quarters after the formation of Thiruvallur District. With rapid growth of town the Population density of Thiruvallur has increased in the past three decades from 300 persons/sq.km in 1951, to 6000 persons/sq.km in 1981 and now it is 12925 persons/sq.km in 2011. The creation of District administrative collector office, headquarters offices for police, judicial courts and Tamil Nadu and Federal Government development department's offices, establishment of multinationals major industries like Caterpillar, Kingfishers,Hindustan Motors, Mahendra Automobiles, Coco cola, Japanese Glass industry, Korean LOTO etc apart from mushrooming growth of about 41 Engineering, Nursing, Education, Medical, Naval, Arts and Science colleges, International Public schools,Governmentt, Private schools and Polytechnics added to the population of this Town. It is well connected by National Highways and Railways and upgraded as District Municipality. This resulted in urban drainage problem and conversion of Agriculture land and lakes for housing, establishment of major Govt and Private Hospitals including special units for Eye care, Cardiology, and Health Clinics, pharmacies etc. The effect of urbanization on environment of this once silent rural temple town which was supporting intensive agriculture activities , green with paddy fields is studied with high resolution satellite data is know the impact on health and environment changes from 2008 to 2011, using 2.5m resolution PAN stereo data of Cartosat 1 merged with 5.8 m resolution Multi Spectral data of LISS 4 of Resourcesat 1 of Indian Remote sensing satellites and Geo Eye satellite image of 2011 from Google Earth web site for the western part of Thiruvallur Municipality Area between North Western Thiruvallur town from the Temple Tank of Sri Veeraragavasamy temple to junction of National Highways connecting Thiruvallur to Tirupathi and Thiruvallur- Poondi- Uthukottai at the West. These data are used to create environment monitoring GIS to understand the use of High resolution Indian satellite data for local urban environmental planning to manage the health and environmental issues. ARC GIS 10 and Lieca photogrammetry software are used with satellite data to create different layer for creating GIS on urban infrastructure like houses, public buildings, roads, municipal surface drainage net work, underground sewerage drainage net work, drinking water pipe lines net work, landfills, solid waste disposal yards, pumping stations, degraded areas, heath services infrastructure, wet lands , low lying areas with bushes, abandoned lakes which are the breeding grounds for mosquito's in rainy season, etc These layers are correlated with the municipal ward map of this segment of the town. The stereo data of Cartosat 1 is useful for mapping the households, roads, agricultural fields, bushy areas, slopes to map the natural drainage of the area and for delineation of micro watersheds. When the layer of municipal ward maps are integrated with the GIS the drainage, drinking water lines, street names and house numbers etc can be added to the attribute data to make this as a complete Environment management GIS. The use of PAN merged data of Cartosat 1 with LISS 4, MSS Resourcesat 1 in natural colour and it's cost effectiveness is studied to explain the usefulness of creation of Environment Health GIS. The non stereo Geo Eye latest data from Google Earth web site or Cartosat 2 can be used for upgrading the land use changes and identify current environmental as on 2011.The study will provide GIS to monitor environmental issues with multi date large scale data for Thiruvallur Town.