Peer Reviewed Journal via three different mandatory reviewing processes, since 2006, and, from September 2020, a fourth mandatory peer-editing has been added.
This paper elaborates on a novel approach at
preventing exploits from vulnerabilities which remain uncovered
during the testing phase of a system’s development lifecycle. The
combination of predicted usage patterns, a Provenance network
model and a clustering methodology provide a secure failure
mechanism for both known and unknown security issues within
the system. The paper also addresses of the requisite supporting
infrastructure and deployment issues related to the model. The
idea is to approach the growing problem of newer and more
complex vulnerabilities in an ever more intricate and vast set
of systems using a generic software state mapping procedure
for recognizable (and thus the complementary unrecognizable)
patterns to judge the stability at each step in an operation
sequence. Thus abstracting these vulnerabilities at a higher level
provides us a generic technique to classify and handle such
concerns in the future and in turn prevent exploits before a
corrective patch is released.
