29 research outputs found

    Mitigation of the effect of Standard Networks Attacks in SSL Encrypted Traffic by Encrypted Traffic Analysis

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    With increased use of encryption, cyber threat landscape is changing. For general public this transition shifts to more private and safer internet experiences, but at the same time it is a serious concern for security personnel now. For them it hinders control over the traffic moving on their network and poses difficulty in traffic analysis and management. Security personals are interested in knowing how the network is being accessed, whether or not that traffic contains some malware and is safe enough and compliant with your organization’s policies. This project is not about decrypting the encrypted content of the packet’s payload as it will highly degrade network performance plus some advanced encryption algorithms like AES are assumed to be perfect. So the aim of this project is to analyze encrypted traffic and find out some interesting patterns without the need for bulk decryption. The analysis will be based on flow based features and metadata. Encrypted Traffic Analytics maintains the integrity of the encrypted flow and doesn’t affect the privacy of users

    Designing a Pagerank based Prototype Search Engine

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    In this paper the challenges faced during building a prototype of a search engine have been discussed. Each component of a search engine has been described in details. Architectures for each module have been proposed that is most appropriate according to our research on search engine technology and their implementation details have also been provided. . Several algorithms had been designed and implemented for each of the component but pre-built technologies were also used like Pagerank. As Google’s Pagerank [1] algorithm is also embedded in our search engine (although in a small scale), thus its explanation is also provided along with the implementation details

    Analysis of SIR Epidemic Models

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    Modeling epidemics has played a vital role in predicting the impact of a disease in a population and the ability to overcome it. The objective of this paper is to introduce the concept of agent based modeling classification for SIR epidemic model, suggest a new discrete-time agent based SIR model and formally document Gillespie’s Algorithm based SIR epidemic model. Furthermore a computational analysis of chemical master equation and Gillespie’s algorithm based SIR modelshas been performed showing that the use of latter results in considerable reductionin execution tim

    Industrial Control and Building Automation System Penetrating Testing using Modbus TCP Testbed

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    Industrial Control System (ICS) plays a vital role in industries as it controls industrial processes such as power plants, food production, transportation, water and gas distribution etc. Similarly Building Automation System (BAS) is utilized for control, energy efficiency and conservation of modern buildings. As both BAS and ICS systems are becoming increasingly interconnected with networking technologies and becoming a lucrative target for attacks thus pose a serious threat to the infrastructure they control. ICS and BAS networks have been using legacy protocols with implementation of ICT protocols and technologies to be connected with modern networks. Thus, they have lack of security implementation. This paper presented a test-bed for testing vulnerabilities in Modbus protocol on HVAC control system. Two MITM attack scenarios were discussed and performed to demonstrate the weakness in the Modbus TCP protocol. The proposed system was tested using EasyIO-FS-32 server class controller having Modbus RTU, TCP and BACnet MSTP, TCP

    PARALLEL LOSSLESS IMAGE COMPRESSION USING MPI

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    In lossless compression techniques, perfectly identical copy of the original image can be reconstructed from the compressed image. The paper implements three lossless compression techniques namely Huffman Encoding, Run Length Encoding and DPCM techniques using MPI. The experimental results show considerable reduction in execution time and better compression ratio for certain types of images

    Analysis of Detection Features for Wormhole Attacks in MANETs

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    AbstractMobile Ad hoc Networks (MANETs) work without any fixed infrastructure and each node in the network behaves as a router in order to transmit data towards the destination. Due to the lack of central point of control, MANETs are more vulnerable to routing attacks as compared to other networks. Wormhole attack is one of the most severe routing attacks, which is easy to implement but hard to detect. Normally, it works in two steps; in the first step,the wormhole nodes attractmore and more traffic towards them through the wormhole channel, and in the second step, they start harming the network by modifying or dropping the network traffic. Several authors have proposed different solutions to counter wormhole attacks in MANETs. In this paper, we thoroughly analyze these existing techniqueson the basis of their limitations as well as features that are vital in detecting wormhole attacks in MANETs

    Parallelization of Encryption Algorithms using MPI

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    Encryption is a basic technique to achieve data confidentiality. A number of algorithms including RSA, DES, Blowfish, and AES have been parallelized using MPI and have been employed for practical file encryption.  Unified performance analysis of all these algorithms has been presented using two ECB and counter modes. On basis of experimental results, some guidelines have been suggested for the end-user to select the appropriate algorithm for achieving enhanced speed u
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