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2020-03-23
Aguilar, Eryn, Dancel, Jevis, Mamaud, Deysaree, Pirosch, Dorothy, Tavacoli, Farin, Zhan, Felix, Pearce, Robbie, Novack, Margaret, Keehu, Hokunani, Lowe, Benjamin et al..  2019.  Highly Parallel Seedless Random Number Generation from Arbitrary Thread Schedule Reconstruction. 2019 IEEE International Conference on Big Knowledge (ICBK). :1–8.
Security is a universal concern across a multitude of sectors involved in the transfer and storage of computerized data. In the realm of cryptography, random number generators (RNGs) are integral to the creation of encryption keys that protect private data, and the production of uniform probability outcomes is a revenue source for certain enterprises (most notably the casino industry). Arbitrary thread schedule reconstruction of compare-and-swap operations is used to generate input traces for the Blum-Elias algorithm as a method for constructing random sequences, provided the compare-and-swap operations avoid cache locality. Threads accessing shared memory at the memory controller is a true random source which can be polled indirectly through our algorithm with unlimited parallelism. A theoretical and experimental analysis of the observation and reconstruction algorithm are considered. The quality of the random number generator is experimentally analyzed using two standard test suites, DieHarder and ENT, on three data sets.
2017-03-07
Manesh, T., El-atty, S. M. A., Sha, M. M., Brijith, B., Vivekanandan, K..  2015.  Forensic investigation framework for VoIP protocol. 2015 First International Conference on Anti-Cybercrime (ICACC). :1–7.

The deployment of Voice over Internet Protocol (VoIP) in place of traditional communication facilities has helped in huge reduction in operating costs, as well as enabled adoption of next generation communication services-based IP. At the same time, cyber criminals have also started intercepting environment and creating challenges for law enforcement system in any Country. At this instant, we propose a framework for the forensic analysis of the VoIP traffic over the network. This includes identifying and analyzing of network patterns of VoIP- SIP which is used for the setting up a session for the communication, and VoIP-RTP which is used for sending the data. Our network forensic investigation framework also focus on developing an efficient packet reordering and reconstruction algorithm for tracing the malicious users involved in conversation. The proposed framework is based on network forensics which can be used for content level observation of VoIP and regenerate original malicious content or session between malicious users for their prosecution in the court.