25 research outputs found
Infinite product representation of solutions of indefinite problem with a finite number of arbitrary turning points
In this paper we consider the Sturm-Liouville equation (y\u27\u27+(rho^2phi^2(x)-q(x))y=0) on a finite interval I , say I=[0,1], under the assumption that I contains a finite number of arbitrary type turning points, which are zeros of (phi) in I .
According to the four types of turning points, first we obtain the asymptotic forms of the solutions of (*) and then based on Hadamard\u27s factorization theorem we use this asymptotic estimates to study the infinite product representation of solutions of such equations. Infinite product form of the solution has a basic application in studies of inverse spectral problems
Existence of a homoclinic orbit in a generalized Liénard type system
The object of this paper is to study the existence and nonexistence of an important orbit in a generalized Liénard type system. This trajectory is doubly asymptotic to an equilibrium solution, i.e., an orbit which lies in the intersection of the stable and unstable manifolds of a critical point. Such an orbit is called a homoclinic orbit
Deep Learning meets Blockchain for Automated and Secure Access Control
Access control is a critical component of computer security, governing access
to system resources. However, designing policies and roles in traditional
access control can be challenging and difficult to maintain in dynamic and
complex systems, which is particularly problematic for organizations with
numerous resources. Furthermore, traditional methods suffer from issues such as
third-party involvement, inefficiency, and privacy gaps, making transparent and
dynamic access control an ongoing research problem. Moreover detecting
malicious activities and identifying users who are not behaving appropriately
can present notable difficulties. To address these challenges, we propose
DLACB, a Deep Learning Based Access Control Using Blockchain, as a solution to
decentralized access control. DLACB uses blockchain to provide transparency,
traceability, and reliability in various domains such as medicine, finance, and
government while taking advantage of deep learning to not rely on predefined
policies and eventually automate access control. With the integration of
blockchain and deep learning for access control, DLACB can provide a general
framework applicable to various domains, enabling transparent and reliable
logging of all transactions. As all data is recorded on the blockchain, we have
the capability to identify malicious activities. We store a list of malicious
activities in the storage system and employ a verification algorithm to
cross-reference it with the blockchain. We conduct measurements and comparisons
of the smart contract processing time for the deployed access control system in
contrast to traditional access control methods, determining the time overhead
involved. The processing time of DLBAC demonstrates remarkable stability when
exposed to increased request volumes.Comment: arXiv admin note: text overlap with arXiv:2303.1475
Infinite product representation of solutions of indefinite problem with a finite number of arbitrary turning points
In this paper we consider the Sturm-Liouville equation (y\u27\u27+(rho^2phi^2(x)-q(x))y=0) on a finite interval I , say I=[0,1], under the assumption that I contains a finite number of arbitrary type turning points, which are zeros of (phi) in I .
According to the four types of turning points, first we obtain the asymptotic forms of the solutions of (*) and then based on Hadamard\u27s factorization theorem we use this asymptotic estimates to study the infinite product representation of solutions of such equations. Infinite product form of the solution has a basic application in studies of inverse spectral problems
ForensiBlock: A Provenance-Driven Blockchain Framework for Data Forensics and Auditability
Maintaining accurate provenance records is paramount in digital forensics, as
they underpin evidence credibility and integrity, addressing essential aspects
like accountability and reproducibility. Blockchains have several properties
that can address these requirements. Previous systems utilized public
blockchains, i.e., treated blockchain as a black box, and benefiting from the
immutability property. However, the blockchain was accessible to everyone,
giving rise to security concerns and moreover, efficient extraction of
provenance faces challenges due to the enormous scale and complexity of digital
data. This necessitates a tailored blockchain design for digital forensics. Our
solution, Forensiblock has a novel design that automates investigation steps,
ensures secure data access, traces data origins, preserves records, and
expedites provenance extraction. Forensiblock incorporates Role-Based Access
Control with Staged Authorization (RBAC-SA) and a distributed Merkle root for
case tracking. These features support authorized resource access with an
efficient retrieval of provenance records. Particularly, comparing two methods
for extracting provenance records off chain storage retrieval with Merkle root
verification and a brute-force search the offchain method is significantly
better, especially as the blockchain size and number of cases increase. We also
found that our distributed Merkle root creation slightly increases smart
contract processing time but significantly improves history access. Overall, we
show that Forensiblock offers secure, efficient, and reliable handling of
digital forensic dataComment: This work has been submitted to the IEEE for possible publication.
Copyright may be transferred without notice, after which this version may no
longer be accessibl
Uniqueness for Inverse Sturm-Liouville Problems with a Finite Number of Transmission Conditions
We establish various uniqueness results for inverse spectral problems of
Sturm-Liouville operators with a finite number of discontinuities at interior
points at which we impose the usual transmission conditions. We consider both
the case of classical Robin and of eigenparameter dependent boundary
conditions.Comment: 15 pages; Addendum adde
Dual equation and inverse problem for an indefinite Sturm–Liouville problem with m turning points of even order
In this paper the differential equation y″ + (ρ 2 φ 2 (x) –q(x))y = 0 is considered on a finite interval I, say I = [0, 1], where q is a positive sufficiently smooth function and ρ 2 is a real parameter. Also, [0, 1] contains a finite number of zeros of φ 2 , the so called turning points, 0 < x 1 < x 2 < … < x m < 1. First we obtain the infinite product representation of the solution. The product representation, satisfies in the original equation. As a result the associated dual equation is derived and then we proceed with the solution of the inverse problem