MIT-World Peace University (MIT-WPU) is a top educational institute located in Pune, India. It is recognized within&nbsp;UGC under Government of Maharashtra Act No. XXXV 2017.&nbsp;

It is part of the MIT group of institutions (established in 1983) which covers 10+ campuses across India and has more than 50,000+ students enrolled across various disciplines at a given point of time. The institute houses 15 schools ranging from Engineering &amp; Technology, Design, Pharmacy, Commerce, Governance among others. It offers undergraduate, postgraduate and PhD programs among different disciplines.&nbsp;

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MIT World Peace University

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School of Computer Engineering & Technology

Engineering and Technology

International Engineering Research Journal (IERJ)

Improved QOS in SDN-WSN

International Journal of Pervasive Computing and Communications

Seek-and-destroy algorithm for optimal resource allocation and security analysis in software-defined vehicular networks

For Intelligent Transportation Services (ITS), new protocols and architecture are continuously being developed by researchers around the globe. Thus, to ensure the safety of drivers many countries are now adopting and investing a lot on vehicular network (VN). On the other perspective, there are many issues like integrity, Security and so on, related to this field that must be resolved before VN technology is practically adopted. In the case of no or low-security, several attacks can occur that may affect the efficiency and the reliability of the system. The search for better networking paradigms has fostered the emergence of Software Defined Networking (SDN), which allows the decoupling of the data plane from the control plane and to configure the network dynamically. SDN provides network operators with significant visibility and granularity of their networks leading to more flexibility in programming these networks. To make VN systems more efficient software defined networking (SDN) technology is introduced with VN. Typically, with every new technology paradigm, the security concerns represent a serious challenge. In this paper, we provide a comprehensive SDN security review including the different vulnerabilities and attacks that SDN suffers from. The objective is to entice the SDN community to address such issues inherently and not as an afterthought.

International Journal of Advanced Science and Technology

Secure Software Defined Vehicular Network (SDVN)

Web-based applications has gained universal acceptance in every field of lives, including social, commercial, government, and academic communities. Even with the recent emergence of technology, most of applications are accessed and controlled through web interfaces this work proposes a multistage log analysis architecture, which combines both pattern matching and machine learning methods. It makes use of logs generated by the application during attacks to effectively detect attacks and to help preventing future attacks. The architecture is explained in detail with a proof-of-concept prototype is implemented using pattern matching and Bayes Net for machine learning. Experiment outcomes show that the two-stage system has combined the advantages of both systems, and has improved the detection accuracy. The proposed work is significant in advancing web securities, while the multi-stage log analysis concept would be highly applicable to many intrusion detection applications. In proposed system we are use Intrusion detection technology on net banking application to detect various types of attack that affect net banking application.

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International Journal of Advanced Research in Computer and Communication Engineering

Intrusion Detection using Machine Learning and log analysis

Unlike traditional Denial of Service (DoS) attacks, application layer DoS attacks are nearly undetectable at the network layer. CIC DoS is one of the intrusion detection dataset which includes application layer DoS attacks. Therefore in this study, we handle this dataset to detect application based DoS attacks by using Random Forest, Extreme Gradient Boosting (XGBoost), Light Gradient Boosting Machine (LGBM), Gradient Boosting, Multilayer Perceptron (MLP), Convolutional Neural Networks (CNN) and Support Vector Machine (SVM) algorithms. The experimental results show that the performance of the LGBM based model is better than the other algorithms.

UBMK 2019 - Proceedings, 4th International Conference on Computer Science and Engineering

Intrusion Detection Using Machine Learning and Deep Learning Techniques

The idea of making everything readily available and universally has led to a revolution in the field of networks. In spite of the tremendous growth of technologies in the field of networks and information, we still lack in preventing our resources from cyber-attacks. This may not concern small organizations but it is a serious issue as far as industries, companies or national securities are concerned. Since many different mechanisms were opted by organizations in the form of intrusion detection and prevention systems to protect themselves from these kinds of attacks, there are many security breaches which go undetected. A host-based intrusion detection system (HIDS) is a system that monitors a computer system on which it is installed to detect an intrusion and/or misuse, and responds by logging the activity and notifying the designated authority. In this paper, we develop a HIDS using logs generated by services running on the systems. We will discuss about the client-server architecture used in HIDS.

IOSR Journal of Computer Engineering (IOSR-JCE)

Log Based Intrusion Detection System

Wireless Sensor Networks (WSN) plays vital role in research field. Due to its rapidly increasing application in monitoring various kinds of environment by sensing physical phenomenon. Clustering is an efficient and effective method to enhance performance of the WSNs system. In this project work, we study a secure transmission of data for cluster-based WSNs (CWSNs), where the clusters are formed dynamically and randomly. We propose two Secure and Efficient data Transmission (SET) protocols for CWSNs, called SET-IBS and SET-IBOOS, by using the Identity-Based digital Signature (IBS) scheme and the Identity-BasedOnline/Offline digital Signature (IBOOS) scheme, respectively. The cluster routing protocol LEACH (Low-Energy Adaptive Clustering Hierarchy) is considered and improved. In SET-IBS, security relies on the hardness of the Diffie-Hellman problem in the pairing area. SET-IBOOS additionally decreases the computational operating cost for protocol security, which is critical for WSNs, while its defense depends on the stability of the problem of discrete logarithm. We propose a clustering routing protocol named Enhanced LEACH, which extends LEACH protocol by balancing the energy consumption in the network.The simulation results show that Enhanced LEACH outperforms LEACH in terms of network system lifetime and reduce the energy consumption

International Journal of Innovative Research in Science,Engineering and Technology

Secure and Efficient Data Transmission forCluster Based Wireless Sensor Networks

Wireless sensor networks is emerging technology these days. There is very wide range of uses of this technology, from military purpose to medical purpose. The sensor are small and compact and can be deployed anywhere. These sensors are low in cost. So it performs important tasks for low cost. They can be deployed in hundreds to some thousands in quantity. This makes wireless sensor networks prone to different types of attacks. One of them is Node Replication attack. In this attack the attacker takes the Id of one legitimate node and make replica of it and place those node inside network. As sometimes the sensor transfers confidential data so it is important to protect it from these types of attacks. Different algorithms are developed to detect these replicated nodes. In this article we are proposing a detection algorithm that can be used to detect replication attack. This algorithm is named ND-RED(Neighbor Division-Randomize Efficient Distributed) Algorithm.

INTERNATIONAL JOURNAL OF CURRENT ENGINEERING AND SCIENTIFIC RESEARCH (IJCESR)

EFFICIENT APPROACH TO DETECT NODE REPLICA INWIRELESS SENSOR NETWORKS

IOSR Journal of Computer Engineering

Node Replication Attack Detection Algorithms in Wireless Sensor Networks: A Survey

International Journal of Engineering Research \& Technology (IJERT)

Node Authentication in Spontaneous Wireless Ad-Hoc Networking: Survey

Now a days,A biometrics techniques such as ﬁngerprints,palm prints,faces and irises recognition have been widely used in many different applications such as door access control system ,a secure personal authentication for computers,online banking, automatic teller machines for transaction and border-crossing controls system. but The research on ﬁnger vein recognition or authentication technology has become a new hot spot due to its superior security features and user acceptance in recent years.As Finger vein recognition uses the unique patterns of ﬁnger veins images to identify individuals at a high level of accuracy and security.The major concern in a Biometric Identiﬁcation System is its accuracy. In spite of the improvements in image acquisition and image processing techniques, the amount of research still being carried out in person veriﬁcation and identiﬁcation show that a recognition system which gives 0 percentage FAR (False Acceptance Rate) and FRR (False Rejection Rate) is still not a reality.In this work, we propose to formulate the framework for the ﬁnger vein feature extraction using multi-orientation Gabor ﬁlters. The morphological operations are further employed to enhance the extracted vein structures. The proposed method extracts the ﬁnger-vein pattern from the unclear image by using Gabor ﬁlter.Hence This paper will gives a new approach or technique to improve the performance of ﬁnger vein identiﬁcation systems which is presented in the literature.