Biblio
In recent times cloud services are used widely and due to which there are so many attacks on the cloud devices. One of the major attacks is DDos (distributed denial-of-service) -attack which mainly targeted the Memcached which is a caching system developed for speeding the websites and the networks through Memcached's database. The DDoS attack tries to destroy the database by creating a flood of internet traffic at the targeted server end. Attackers send the spoofing applications to the vulnerable UDP Memcached server which even manipulate the legitimate identity of the sender. In this work, we have proposed a vector quantization approach based on a supervised deep learning approach to detect the Memcached attack performed by the use of malicious firmware on different types of Cloud attached devices. This vector quantization approach detects the DDoas attack performed by malicious firmware on the different types of cloud devices and this also classifies the applications which are vulnerable to attack based on cloud-The Hackbeased services. The result computed during the testing shows the 98.2 % as legally positive and 0.034% as falsely negative.
Secure Two Party Computation (2PC) has the potential to facilitate a wide range of real life applications where privacy of the computation and participants is critical. Nevertheless, this potential has not translated to widespread industry acceptance due to performance issues. Over the years a significant research effort has focused on optimising the performance of 2PC. The computation complexity has been continually improved and recently, following circuit optimisations and hardware support for cryptographic operations, evaluations of 2PC on a single host currently produce efficient results. Unfortunately, when evaluated on remote hosts, the performance remains prohibitive for practical purposes. The bottleneck is believed to be the bandwidth. In this work we explore the networking layer of 2PC implementations and show that the performance bottleneck is inherent in the usage of TCP sockets in implementations of 2PC schemes. Through experimental evaluations, we demonstrate that other transport protocols can significantly improve the performance of 2PC, making it suitable for practical applications.
Information security deals with a large number of subjects like spoofed message detection, audio processing, video surveillance and cyber-attack detections. However the biggest threat for the homeland security is cyber-attacks. Distributed Denial of Service attack is one among them. Interconnected systems such as database server, web server, cloud computing servers etc., are now under threads from network attackers. Denial of service is common attack in the internet which causes problem for both the user and the service providers. Distributed attack sources can be used to enlarge the attack in case of Distributed Denial of Service so that the effect of the attack will be high. Distributed Denial of Service attacks aims at exhausting the communication and computational power of the network by flooding the packets through the network and making malicious traffic in the network. In order to be an effective service the DDoS attack must be detected and mitigated quickly before the legitimate user access the attacker's target. The group of systems that is used to perform the DoS attack is known as the botnets. This paper introduces the overview of the state of art in DDoS attack detection strategies.
This paper presents verification and model based checking of the Trivial File Transfer Protocol (TFTP). Model checking is a technique for software verification that can detect concurrency defects within appropriate constraints by performing an exhaustive state space search on a software design or implementation and alert the implementing organization to potential design deficiencies that are otherwise difficult to be discovered. The TFTP is implemented on top of the Internet User Datagram Protocol (UDP) or any other datagram protocol. We aim to create a design model of TFTP protocol, with adding window size, using Promela to simulate it and validate some specified properties using spin. The verification has been done by using the model based checking tool SPIN which accepts design specification written in the verification language PROMELA. The results show that TFTP is free of live locks.