A system programming language usually refers to a programming language used for system programming; such languages are designed for writing system software, which usually requires different development approaches when compared to application software. System software is computer software designed to operate and control the computer hardware, and to provide a platform for running application software. System software includes software categories such as operating systems, utility software, device drivers, compilers, and linkers. In contrast with application languages, system programming languages typically offer more-direct access to the physical hardware of the machine: an archetypical system programming language in this sense was BCPL. System programming languages often lack built in input/output facilities because a system-software project usually develops its own input/output or builds on basic monitor I/O or screen management services facilities. The distinction between languages for system programming and applications programming became blurred with widespread popularity of PL/I, C and Pascal.
We devise a novel simulation technique that makes black-box use of the adversary as well as the distinguisher. Using this technique we construct several round-optimal protocols, many of which were previously unknown even using non-black-box simulation techniques:
Two-round witness indistinguishable (WI) arguments for \(\mathrm {NP}\) from different assumptions than previously known.
Two-round arguments and three-round arguments of knowledge for \(\mathrm {NP}\) that achieve strong WI, witness hiding (WH) and distributional weak zero knowledge (WZK) properties in a setting where the instance is only determined by the prover in the last round of the interaction. The soundness of these protocols is guaranteed against adaptive provers.
Three-round two-party computation satisfying input-indistinguishable security as well as a weaker notion of simulation security against malicious adversaries.
Three-round extractable commitments with guaranteed correctness of extraction from polynomial hardness assumptions.
Insulin and glucose stimulate glucose uptake in human muscle by different mechanisms. Insulin has well-known effects on glucose transport, glycogen synthesis, and glucose oxidation, but the effects of hyperglycemia on the intracellular routing of glucose are less well characterized. We used euglycemic and hyperglycemic clamps with leg balance measurements to determine how hyperglycemia affects skeletal muscle glucose storage, glycolysis, and glucose oxidation in normal human subjects. Glycogen synthase (GS) and pyruvate dehydrogenase complex (PDHC) activities were determined using muscle biopsies. During basal insulin replacement, hyperglycemia (11.6 +/- 0.31 mM) increased leg muscle glucose uptake (0.522 +/- 0.129 vs. 0.261 +/- 0.071 mumol.min-1 x 100 ml leg tissue-1, P < 0.05), storage (0.159 +/- 0.082 vs. -0.061 +/- 0.055, P < 0.05), and oxidation (0.409 +/- 0.080 vs. 0.243 +/- 0.085, P < 0.05) compared with euglycemia (6.63 +/- 0.33 mM). The increase in basal glucose oxidation due to hyperglycemia was associated with increased muscle PDHC activity (0.499 +/- 0.087 vs. 0.276 +/- 0.049, P < 0.05). However, the increase in leg glucose storage was not accompanied by an increase in muscle GS activity. During hyperinsulinemia, hyperglycemia (11.9 +/- 0.49 mM) also caused an additional increase in leg glucose uptake over euglycemia (6.14 +/- 0.42 mM) alone (5.75 +/- 1.25 vs. 3.75 +/- 0.58 mumol.min-1 x 100 ml leg-1, P < 0.05). In this case the major intracellular effect of hyperglycemia was to increase glucose storage (5.03 +/- 1.16 vs. 2.39 +/- 0.37, P < 0.05). At hyperinsulinemia, hyperglycemia had no effect on muscle GS or PDHC activity.(ABSTRACT TRUNCATED AT 250 WORDS)
We construct a multiparty computation (MPC) protocol that is secure even if a malicious adversary, in addition to corrupting 1-ε fraction of all parties for an arbitrarily small constant ε >0, can leak information about the secret state of each honest party. This leakage can be continuous for an unbounded number of executions of the MPC protocol, computing different functions on the same or different set of inputs. We assume a (necessary) "leak-free" preprocessing stage. We emphasize that we achieve leakage resilience without weakening the security guarantee of classical MPC. Namely, an adversary who is given leakage on honest parties' states, is guaranteed to learn nothing beyond the input and output values of corrupted parties. This is in contrast with previous works on leakage in the multi-party protocol setting, which weaken the security notion, and only guarantee that a protocol which leaks l bits about the parties' secret states, yields at most l bits of leakage on the parties' private inputs. For some functions, such as voting, such leakage can be detrimental.
Intraoperative dosimetry in prostate brachytherapy requires localization of the implanted radioactive seeds. A tomosynthesis-based seed reconstruction method is proposed. A three-dimensional volume is reconstructed from Gaussian-blurred projection images and candidate seed locations are computed from the reconstructed volume. A false positive seed removal process, formulated as an optimal coverage problem, iteratively removes "ghost" seeds that are created by tomosynthesis reconstruction. In an effort to minimize pose errors that are common in conventional C-arms, initial pose parameter estimates are iteratively corrected by using the detected candidate seeds as fiducials, which automatically "focuses" the collected images and improves successive reconstructed volumes. Simulation results imply that the implanted seed locations can be estimated with a detection rate of > or = 97.9% and > or = 99.3% from three and four images, respectively, when the C-arm is calibrated and the pose of the C-arm is known. The algorithm was also validated on phantom data sets successfully localizing the implanted seeds from four or five images. In a Phase-1 clinical trial, we were able to localize the implanted seeds from five intraoperative fluoroscopy images with 98.8% (STD=1.6) overall detection rate.
Cloud computing is the innovation that is as of now used to give clients foundation, stage, and programming administrations really. Under this framework, Platform as a Service (PaaS) offers a medium set out toward a web improvement stage that consistently disperses solicitations and assets. Programmers utilizing denial of service (DoS) Distributed DoS (DDoS) goes after suddenly intrude on these solicitations. The impacts of contrasting and the standardized data have shown an extra uplifting location exactness of almost 100% for the various DoS assault as well as DDoS assaults. Early recognition of such goes after assists in minimization of the unapproved usage of assets on the objective with machining. Different inbuilt burden adjusting and versatility choices to retain flooding assaults are being used by cloud specialist organizations up to more than adequate degree still to keep up with QoS simultaneously by cloud specialist co-ops is a test. In this paper a broad audit of cloud computing with the fundamental spotlight on holes and security concerns. We recognize the top security dangers and their current arrangements. We additionally examine the difficulties/impediments in executing danger remediation.