HoneyBug: Personalized Cyber Deception for Web Applications

Cyber deception is used to reverse cyber warfare asymmetry by diverting adversaries to false targets in order to avoid their attacks, consume their resources, and potentially learn new attack tactics. In practice, effective cyber deception systems must be both attractive, to offer temptation for engagement, and believable, to convince unknown attackers to stay on the course. However, developing such a system is a highly challenging task because attackers have different expectations, expertise levels, and objectives. This makes a deception system with a static configuration only suitable for a specific type of attackers. In order to attract diverse types of attackers and prolong their engagement, we need to dynamically characterize every individual attacker\u27s interactions with the deception system to learn her sophistication level and objectives and personalize the deception system to match with her profile and interest. In this paper, we present an adaptive deception system, called HoneyBug, that dynamically creates a personalized deception plan for web applications to match the attacker\u27s expectation, which is learned by analyzing her behavior over time. Each HoneyBug plan exhibits fake vulnerabilities specifically selected based on the learned attacker\u27s profile. Through evaluation, we show that HoneyBug characterization model can accurately characterize the attacker profile after observing only a few interactions and adapt its cyber deception plan accordingly. The HoneyBug characterization is built on top of a novel and generic evidential reasoning framework for attacker profiling, which is one of the focal contributions of this work

An MPEG-7 scheme for semantic content modelling and filtering of digital video

Abstract Part 5 of the MPEG-7 standard specifies Multimedia Description Schemes (MDS); that is, the format multimedia content models should conform to in order to ensure interoperability across multiple platforms and applications. However, the standard does not specify how the content or the associated model may be filtered. This paper proposes an MPEG-7 scheme which can be deployed for digital video content modelling and filtering. The proposed scheme, COSMOS-7, produces rich and multi-faceted semantic content models and supports a content-based filtering approach that only analyses content relating directly to the preferred content requirements of the user. We present details of the scheme, front-end systems used for content modelling and filtering and experiences with a number of users

Assuring Energy Reporting Integrity: Government Policy’s Past, Present, and Future Roles

This study investigates government policy influence on energy reporting integrity in the past, present, and future. The study attempts to identify the dominating key themes in energy reporting and explore the function of government incentives and policies in influencing the integrity of energy consumption reports. A thorough literature review screening and theme identification were conducted through a systematic review. The data used in this study are mainly derived from English-language journals acquired from reputable academic databases such as Web of Science and Scopus. Social network analysis was used to examine the data retrieved with the VOSviewer software. The findings demonstrate that the key themes of government policy, energy reporting, energy management, and integrity are strongly focused in studies on energy policy, climate change, energy efficiency, renewable energy, life cycle assessment, carbon emissions, and sustainability. These topics included energy management, renewable energy, energy efficiency, emissions reporting, and energy transitions. The results suggest that there is little empirical support for how government policy promotes and validates the accuracy and integrity of energy reporting. The findings offer potential strategies for removing energy policy development, implementation, and reporting barriers. This study found that transparent disclosure of a company’s energy consumption attracts new investment. The integrity and transparency of the energy report attest to a firm’s commitment to working toward sustainable development goals. The study recommends that the government should align energy policies with clear guidelines about transparent energy disclosure and reform the existing sanctions and incentives to enforce the law

Solubility and Charge Transport in Blends of Poly-dialkoxy-p-phenylene Vinylene and UV-Cross-Linkable Matrices

Poly[2-methoxy-5-(2-ethylhexyloxy)-1,4-phenylenevinylene] (MEH-PPV) is blended with two different inert UV-cross-linkable matrices to tune the solubility of the solution-processed films. It is found that only 10 wt% of theses matrices is required to make the blend layer insoluble after cross-linking. The addition of only 10 wt% matrix only slightly reduces the hole mobility, whereas the electron transport is not affected. Polymer light-emitting diodes (PLEDs) with an insoluble 90:10 MEH-PPV: matrix blend layer exhibit the same current density and photocurrent as pristine MEH-PPV PLEDs

Discodermolide interferes with the binding of tau protein to microtubules

AbstractWe investigated whether discodermolide, a novel antimitotic agent, affects the binding to microtubules of tau protein repeat motifs. Like taxol, the new drug reduces the proportion of tau that pellets with microtubules. Despite their differing structures, discodermolide, taxol and tau repeats all bind to a site on β-tubulin that lies within the microtubule lumen and is crucial in controlling microtubule assembly. Low concentrations of tau still bind strongly to the outer surfaces of preformed microtubules when the acidic C-terminal regions of at least six tubulin dimers are available for interaction with each tau molecule; otherwise binding is very weak

Uncovering four domains of energy management in palm oil production: a sustainable bioenergy production trend

This study aims to identify current and future research trends in sustainable bioenergy production. The systematic review is conducted using a social network analysis method. The data were collected from the Web of Science and Scopus database (2010–2021). Out of the 1747 articles reviewed, 100 were found to be relevant for thematic analysis. The results uncovered four domains of palm oil biodiesel production for sustainable energy management: (1) renewable energy, (2) biodiesel, (3) bioenergy, and (4) life cycle assessment. This study has proposed a sustainable bioenergy production framework based on the four main domains. The framework sheds light on the future of sustainable bioenergy production. The findings indicate the potential growth of the research topic, including sustainable bioenergy, palm oil biodiesel, energy management, and carbon emissions reduction. Future research must incorporate the energy management framework to design a sustainable energy management ecosystem strategy. In addition, the industry must comply with the international sustainability standard and sustainable development goals to manage the energy supply chain and consistency of palm oil biodiesel production

Mechanical Performance of Polylactic Acid from Sustainable Screw-Based 3D Printing

Screw-extrusion-based 3D printing or fused granular fabrication (FGF) is a less widespread variant of filament-based 3D printing for polymers. An FGF printer can be fed directly from polymer granules for improved sustainability. Shorter manufacturing routes and the potential of using recycled pellets from waste plastics are key features of FGF in the circular economy framework. A modified version of a standard Prusa i3 plus printer, which was equipped with a Mahor screw extruder, is used to test the mechanical performance of polylactic acid (PLA) processed with different layer infill and printing speed. Rheological and thermal analyses are carried out to characterise the material. The energy consumption of the FGF printer was measured during the fabrication of Dumbbell specimens. Tensile test results are consistent with other investigations presented in the literature. A higher printing speed promotes FGF eco-efficiency without a detrimental effect on the material strength, whereas lower printing speed should be preferred for increased material stiffness

Glycogen Synthase Kinase (GSK) 3β phosphorylates and protects nuclear myosin 1c from proteasome-mediated degradation to activate rDNA transcription in early G1 cells

Nuclear myosin 1c (NM1) mediates RNA polymerase I (pol I) transcription activation and cell cycle progression by facilitating PCAF-mediated H3K9 acetylation, but the molecular mechanism by which NM1 is regulated remains unclear. Here, we report that at early G1 the glycogen synthase kinase (GSK) 3β phosphorylates and stabilizes NM1, allowing for NM1 association with the chromatin. Genomic analysis by ChIP-Seq showed that this mechanism occurs on the rDNA as active GSK3β selectively occupies the gene. ChIP assays and transmission electron microscopy in GSK3β-/- mouse embryonic fibroblasts indicated that at G1 rRNA synthesis is suppressed due to decreased H3K9 acetylation leading to a chromatin state incompatible with transcription. We found that GSK3β directly phosphorylates the endogenous NM1 on a single serine residue (Ser-1020) located within the NM1 C-terminus. In G1 this phosphorylation event stabilizes NM1 and prevents NM1 polyubiquitination by the E3 ligase UBR5 and proteasome-mediated degradation. We conclude that GSK3β-mediated phosphorylation of NM1 is required for pol I transcription activation

Investigation of a Photoelectrochemical Passivated ZnO-Based Glucose Biosensor

A vapor cooling condensation system was used to deposit high quality intrinsic ZnO thin films and intrinsic ZnO nanorods as the sensing membrane of extended-gate field-effect-transistor (EGFET) glucose biosensors. The sensing sensitivity of the resulting glucose biosensors operated in the linear range was 13.4 μA mM−1 cm−2. To improve the sensing sensitivity of the ZnO-based glucose biosensors, the photoelectrochemical method was utilized to passivate the sidewall surfaces of the ZnO nanorods. The sensing sensitivity of the ZnO-based glucose biosensors with passivated ZnO nanorods was significantly improved to 20.33 μA mM−1 cm−2 under the same measurement conditions. The experimental results verified that the sensing sensitivity improvement was the result of the mitigation of the Fermi level pinning effect caused by the dangling bonds and the surface states induced on the sidewall surface of the ZnO nanorods