Stackable File system and Intrusion Detection system

In this article concepts pertaining to stackable file systems, virtual file systems, linux kernel, Intrusion Detection System have been discussed. We first discuss a little about Linux kernel and then move on to discuss various features of VFS and its primary objects, then we discuss Stackable Filesystems and layering techniques on three most popular operating systems; Solaris, FreeBSD and Linux, then we discuss various IDS technologies and their advantages and disadvantages follwed by discussion of I3FS and Storage Based IDS. Information from various sources has been incorporated in this article, as I am a newbie in this field I thought a collection of information from various sources explained in simple language would be helpful to some people. The whole article can be downloaded from here

Adeona: Open Source Laptop tracer

Adeona is the first Open Source system for tracking the location of your lost or stolen laptop that does not rely on a proprietary, central service. This means that you can install Adeona on your laptop and go — there's no need to rely on a single third party. What's more, Adeona addresses a critical privacy goal different from existing commercial offerings. It is privacy-preserving. This means that no one besides the owner (or an agent of the owner's choosing) can use Adeona to track a laptop. Unlike other systems, users of Adeona can rest assured that no one can abuse the system in order to track where they use their laptop.

Adeona is designed to use the Open Source OpenDHT distributed storage service to store location updates sent by a small software client installed on an owner's laptop. The client continually monitors the current location of the laptop, gathering information (such as IP addresses and local network topology) that can be used to identify its current location. The client then uses strong cryptographic mechanisms to not only encrypt the location data, but also ensure that the ciphertexts stored within OpenDHT are anonymous and unlinkable. At the same time, it is easy for an owner to retrieve location information.

Using Adeona only requires downloading and installing a small software client. Adeona is free to use.

For more information click here

My Research Paper

Hi everyone,
I would like to share my idea of a better search engine with all of you, I am posting the abstract, you can read the whole paper here

The Next Search Engine

ABSTRACT
Ubiquity of internet has opened doors to affluence of knowledge. However, the enigma to find your needle in the haystack still fang out invincibly. Most search engines implements keyword based search which although popular is inefficient as it excludes the desired web pages on the basis of absence of keyword(s).User is prone to browse useless pages as keyword based search generates many false positives and fails to produce the set of web pages that have significance in terms of the context being searched.

We have proposed an approach, the Next Approach, which handles variation in perception of the human user by enhancing the pool of ‘relevant’ web pages. Being a Neighborhood-based strategy, it searches for a word or links that lie in the neighborhood of the keyword in terms of some contextual similarity measure with the given keyword. The approach involves identification of some other word that is similar in some context with the present keyword. To do this, the content of URLs containing the keyword are scanned to identify the next most relevant keyword. Working on the similar track, a scan is performed to identify the referred URLs and made a judgment about a set of URLs that might be relevant in terms of the context, even though they did not contain the keyword.