No abstract

Denial-of-service attacks (DoS) and distributed denial-of-service attacks (DDoS) attempt to temporarily disrupt users or computer resources to cause service unavailability to legitimate users in the internetworking system. The most common type of DoS attack occurs when adversaries flood a large amount of bogus data to interfere or disrupt the service on the server. By using a volume-based scheme to detect such attacks, this technique would not be able to inspect short-term denial-ofservice attacks, as well as cannot distinguish between heavy load from legitimate users and huge number of bogus messages from attackers. As a result, this paper provides a detection mechanism based on a technique of entropy-based input-output traffic mode detection scheme. The experimental results demonstrate that our approach is able to detect several kinds of denial-of-service attacks, even small spike of such attacks.

No abstract

The external storage using a universal serial bus (USB) communication become the most popular use for storing digital data. Application such as evidence acquisition in digital forensic area needs external storage devices that are portable, high speed of data transfer, and easy to use for collecting digital data from suspect computers. Apart from these advantages of USB storage devices, they do not have a built-in function to authenticate users. If unauthorized users obtain this device with some utilities installed in it, they might use it as a weapon to attack or steal valuable information from anyone. To avoid this situation, this paper proposes a two-factor authentication technique in order to solve such problem, as well as to limit the software usage in which users can run it inside that assigned device only. That means no unauthorized users can make a copy version and distribute it to other devices and run the software. The result from the experiment shows that the proposed authentication protocol is able to achieve all goals of this paper.

No abstract