A spatio-temporal entropy-based approach for the analysis of cyber attacks (demo paper)

Computer networks are ubiquitous systems growing exponentially with a predicted 50 billion devices connected by 2050. This dramatically increases the potential attack surface of Internet networks. A key issue in cyber defense is to detect, categorize and identify these attacks, the way they are propagated and their potential impacts on the systems affected. The research presented in this paper models cyber attacks at large by considering the Internet as a complex system in which attacks are propagated over a network. We model an attack as a path from a source to a target, and where each attack is categorized according to its intention. We setup an experimental testbed with the concept of honeypot that evaluates the spatiotemporal distribution of these Internet attacks. The preliminary results show a series of patterns in space and time that illustrate the potential of the approach, and how cyber attacks can be categorized according to the concept and measure of entropy

Molecular and morphological characterization of new promising black pepper (Piper nigrum L.) lines

Seven high yielding, new, promising lines of black pepper (Piper nigrum) were characterized using molecular markers (randomly amplified polymorphic DNA) and morphological features. Out of the 14 random decatner primers studied, 9 could generate unique bands in 6 lines. Maximum unique bands of the primers were observed in the line OPKrn followed by HP-1411 and HP-105. HP-780 could not be discriminated by any of the primers. Sixteen unique bands were prod uced by the nine primers making an average of 1.7 bands per primer. The lines OPKm, HP-1411 and HP-105 exhibited distinct morphological features also. &nbsp