Transactions on Computational Science IV: Special Issue on - download pdf or read online

By Reouven Elbaz, David Champagne (auth.), Marina L. Gavrilova, C. J. Kenneth Tan, Edward David Moreno (eds.)

ISBN-10: 3642010032

ISBN-13: 9783642010033

ISBN-10: 3642010040

ISBN-13: 9783642010040

The LNCS magazine Transactions on Computational technological know-how displays fresh advancements within the box of Computational technological know-how, conceiving the sector no longer as an insignificant ancillary technological know-how, yet particularly as an leading edge strategy helping many different clinical disciplines. The magazine specializes in unique top of the range study within the realm of computational technology in parallel and disbursed environments, encompassing the facilitating theoretical foundations and the purposes of large-scale computations and big info processing. It addresses researchers and practitioners in components starting from aerospace to biochemistry, from electronics to geosciences, from arithmetic to software program structure, offering verifiable computational equipment, findings and options and permitting business clients to use suggestions of modern, large-scale, excessive functionality computational methods.

This factor makes a speciality of the subject of protection in computing, a subject matter of significant value within the more and more hooked up international of this day. The 14 huge papers chosen for inclusion during this quantity supply an in-depth insurance of a few scorching issues within the box, providing new architectures, novel implementations, cryptographic algorithms and defense protocols, and new instruments and applications.

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Extra resources for Transactions on Computational Science IV: Special Issue on Security in Computing

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2 Related Work The field of the worm detection and anomaly based intrusion detection has been studied in a special way in the last seven years. Initiatives like the Internet Storm Behavioural Characterization for Network Anomaly Detection 25 Center [14], CAIDA [1] or DDoSVax [23] are good examples of it. These systems search for infection signals on large scale networks. These projects work with information volume extremely huge, which makes it difficult to carry out host level processing. Barford et al.

6667 3 ircu ??? traffic grouped at 135/TCP and 445/TCP and at last a small percent not so well known ports: 5226/TCP and 6667/TCP. This list of implied ports, as well as a possible concentration of traffic from a same source port would serve to make a basic characterization of this worm behaviour. These connections to no well characterized ports are specially interesting. If we make a query to know which hosts are behind these ports we will discover two outer machines. 16 port 6667/TCP are running two botnet command and control IRC servers.

This variety of examined population, especially concerning the students group, guarantees a good variety of different behaviours in the network. As we have explained before we have based our flow storage system in a relational database. There are some publications around this idea like the paper from Nickless et al. [20]. 1 slightly tuned to increase memory cache for keys. At present we are saving 24 hours of NetFlow Behavioural Characterization for Network Anomaly Detection 31 data, divided in 15 minutes blocks that are cyclical filled.

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Transactions on Computational Science IV: Special Issue on Security in Computing by Reouven Elbaz, David Champagne (auth.), Marina L. Gavrilova, C. J. Kenneth Tan, Edward David Moreno (eds.)


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