Heritage Institute of Technology

About: Heritage Institute of Technology is a based out in . It is known for research contribution in the topics: Support vector machine & Transconductance. The organization has 581 authors who have published 1045 publications receiving 8345 citations.

Intention aware misbehavior detection for post-disaster opportunistic communication over peer-to-peer DTN

Abstract: Delay tolerant network (DTN) has been successfully proposed for setting up emergency post disaster communication networks when normal communication infrastructure is typically incapacitated. DTN being a network where participating nodes transmit messages to the final destination in multiple hops, its success depends on the cooperation of these participating nodes. Performance of such cooperation based networks get severely affected by misbehaving nodes that do not participate in message forwarding either due to reasons that are beyond its control (non-availability of appropriate forwarders, decreasing battery life, etc.) or out of certain malicious intentions. The misbehavior detection schemes, proposed so far, rarely investigate the actual intention behind misbehavior of participating nodes and do not attempt to restore the reputation of falsely alleged nodes. In this paper, we propose iDetect, a reputation based intention aware misbehavior detection scheme that uses contextual evidences to analyze the intention behind a node’s misbehavior. The scheme boosts the low reputation of incorrectly ostracized nodes and includes them in future communication. Re-inclusion of these nodes increases the number of genuine forwarders in the network which, in turn, assists in efficient delivery of crucial post disaster situational messages. Results of extensive simulation, using ONE simulator, substantiate the effectiveness of the proposed iDetect scheme over state-of-the-art competing schemes, in terms of detection ratio, availability ratio, etc. while not compromising on standard network performance in a post disaster communication scenario.

Intelligent wall mounted wireless fencing system using wireless sensor actuator network

Abstract: This paper presents the relative merits of IR and microwave sensor technology and their combination with wireless camera for the development of a wall mounted wireless intrusion detection system and explain the phases by which the intrusion information are collected and sent to the central control station using wireless mesh network for analysis and processing the collected data. These days every protected zone is facing numerous security threats like trespassing or damaging of important equipments and a lot more. Unwanted intrusion has turned out to be a growing problem which has paved the way for a newer technology which detects intrusion accurately. Almost all organizations have their own conventional arrangement of protecting their zones by constructing high wall, wire fencing, power fencing or employing guard for manual observation. In case of large areas, manually observing the perimeter is not a viable option. To solve this type of problem we have developed a wall-mounted wireless fencing system. In this project I took the responsibility of studying how the different units could be collaborated and how the data collected from them could be further processed with the help of software, which was developed by me. The Intrusion detection system constitutes an important field of application for IR and microwave based wireless sensor network. A state of the art wall-mounted wireless intrusion detection system will detect intrusion automatically, through multi-level detection mechanism (IR, microwave, active RFID & camera) and will generate multi-level alert (buzzer, images, segment illumination, SMS, E-Mail) to notify security officers, owners and also illuminate the particular segment where the intrusion has happened. This system will enable the authority to quickly handle the emergency through identification of the area of incident at once and to take action quickly. IR based perimeter protection is a proven technology. However IR-based intrusion detection system is not a full-proof solution since (1) IR may fail in foggy or dusty weather condition & hence it may generate false alarm. Therefore we amalgamate this technology with Microwave based intrusion detection which can work satisfactorily in foggy weather. Also another significant arena of our proposed system is the Camera-based intrusion detection. Some industries require this feature to capture the snap-shots of the affected location instantly as the intrusion happens. The Intrusion information data are transmitted wirelessly to the control station via multi hop routing (using active RFID or IEEE 802.15.4 protocol). The Control station will receive intrusion information at real time and analyze the data with the help of the Intrusion software. It then sends SMS to the predefined numbers of the respective authority through GSM modem attached with the control station engine.

A human mobility based knowledge sharing approach for post disaster need assessment using DTN

Abstract: In a post disaster scenario, assessment of resource needs is indeed challenging because needs are constantly changing and supplies trickle in at an uncertain rate. Moreover, information about resource needs of far-flung areas get rarely permeated owing to the disruption of cellular and other communication infrastructure, leading to a huge gap in perception about the actual needs in those areas. Therefore, a dynamic need assessment mechanism is essential to stay abreast of the actual situation. Movements of volunteers and relief workers are governed by two dominant characteristics of human mobility - spatial locality and spatial regularity. In this paper, we make use of such mobility characteristics to propose a knowledge sharing based approach for dynamic assessment of post disaster resource needs using a smart-phone based delay tolerant network (DTN). The proposed technique caters to the objective of bridging the gap in perception about actual resource needs.

Mean-Entropy-Skewness Fuzzy Portfolio Selection by Credibility Theory Approach

Abstract: In this paper fuzzy mean-entropy-skewness models are proposed for optimal portfolio selection Entropy is favored as a measure of risk as it is free from dependence on symmetric probability distribution Credibility theory is applied to evaluate fuzzy mean, skewness and entropy Hybrid intelligence algorithm is used for simulation Numerical examples are given in favor of each of the models