International Conference on Intelligent Computing and Systems
38
International Conference on Intelligent Computing and Systems 2017 [ICICS 2017]
ISBN Website Received Article ID
978-81-933235-5-7 icics.asia 10 – January – 2017 ICICS075
VOL eMail Accepted eAID
01 icics@asdf.res.in 28 - January – 2017 ICICS.2017.075
Blow Down Heat Recovery System Using Heat Exchanger 1,3
Sureshkumar M1, Uthirakumar K2, Sreshkumar C3, Raja K4, Sudhakar V5 Assistant Professor, 2,4,5Students, Department of Mechanical Engineering, NSN College of Engineering, India
Abstract: In industry steam generators are the major fuel consumers. In a normal steam generator about 4% of hot water is wasted as blow down. Due to this, a1111q1 large amount of heat energy is wasted. A heat recovery system to prevent heat losses, so that a large savings can be made. So in this a heat recovery system was designed to minimize the losses. The water drained at the lower pressure and temperature is passed through a heat exchanger where heat is transferred to treated make up water and raises its temperature.
ISBN Website Received Article ID
978-81-933235-5-7 icics.asia 10 – January – 2017 ICICS076
VOL eMail Accepted eAID
01 icics@asdf.res.in 28 - January – 2017 ICICS.2017.076
Privacy Preserving Data Leak Detection Using Rabin Fingerprint Method 1,2
R Sathishkannan1, U Karthick2, P Gomathi3 Department of CSE, 2Department of EEE, NSN College of Engineering & Technology, India
Abstract: Statistics from security practices, research organizations and government administrations show that the numbers of data-leak requests have developed rapidly in recent years. Among several data-leak cases, human mistakes are one of the main reasons of data loss. There exist results detecting unplanned sensitive data leaks caused by human mistakes and to provide signals for organizations. A common approach is to monitor content in storage and transmission for exposed sensitive evidence. Such an approach usually needs the exposure operation to be displayed in confidentiality. We present a privacy preserving data-leak detection (DLD) explanation to answer the issue where a special set of sensitive data digests is used in recognition. The advantage of our technique is that it enables the data owner to safely agent the detection procedure to a semi honest source without revealing the sensitive data to the provider. We describe how Internet service suppliers can offer their customers DLD as an attachment service with strong privacy guarantees. The valuation results show that our method can support correct exposure with very small number of false apprehensions under many dataleak circumstances.
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