Variable Record Table: A Run-time Solution for Mitigating Buffer Overflow Attack

We present a novel approach to mitigate buffer overflow attack using Variable Record Table (VRT). Dedicated memory space is used to automatically record base and bound information of variables extracted during runtime. We instrument frame pointer and function(s) related registers to decode variable memory space in stack and heap. We have modified Simplescalar/PISA simulator to extract variables space of six (6) benchmark suites from MiBench. We have tested 290 small C programs (MIT corpus suite) having 22 different buffer overflow vulnerabilities in stack and heap. Experimental results show that our approach can detect buffer overflow attack with zero instruction overhead with the memory space requirement up to 13Kb to maintain VRT for a program with 324 variables.Comment: Accepted for publication in MWSCAS201

Range-Speed Mapping and Target-Classification Measurements of Automotive Targets using Photonic-Radar

The frequency-modulated continuous-wave radar is an ideal choice for autonomous vehicle and surveillance-related industries due to its ability to measure the relative target-velocity, target-range, and target-characterization. Unlike conventional microwave radar systems, the photonic radar has the potential to offer wider bandwidth to attain high range-resolution at low input power requirements. Subsequently, a frequency-modulated continuous-wave photonic-radar is developed to measure the target-range and velocity of the automotive mobile targets concurrently with acceptable rang resolution keeping in mind the needs of the state-of-the-art autonomous vehicle industry. Furthermore, the target-identification is also an important parameter to be measured to enable the futuristic autonomous vehicles for the recognition of the objects along with their dimensions. Therefore, the reported work is extended to characterize the target-objects by measuring the specular-reflectance, diffuse-reflectance, the ratio of horizontal-axis to vertical-axis, refractive index constants of the targets using the bidirectional reflectance distribution function. Furthermore, the reflectance properties of the target-objects are also measured with different operating wavelengths at different incident angles to assess the influence of the operating wavelength and the angle at which the radar-pulses incident on the surface of the targets. Moreover, to validate the performance of the demonstrated work, a comparison is also presented in distinction with the conventional microwave FMCW-RADAR

Photonic-radar based Multiple-Target Tracking under complex traffic-environments

Recent developments in the state-of-the-art Intelligent Transportation Systems enable autonomous vehicles to offer significant safety services to take appropriate and prompt actions to avoid any probable unfortunate road-hazard. As the utmost functions of the advanced driving assistance system-equipped autonomous vehicles governed by the equipped radar, therefore, the radar system should have the ability to track multiple-targets accurately with high radar-resolutions. Unlike the microwave-radar, the photonic-radar comes out as an attractive candidate owing to provide wide-spectra to attain improved and precise radar-resolutions at low-power requirements along with extended target-range even under severe atmospheric fluctuations. Therefore, a linear frequency-modulated continuous-wave photonic-radar is developed in this work to carry out a radar cross-section-based tracking of multiple mobile-targets in the presence of fog, cloud, and rain. Besides it, some complex real-time traffic-scenarios consisting of multiple mobile-targets make the target-detection, data-association, and classification processes more complicated. Therefore, this work is tested for different multiple-mobile targets in different complicated traffic-scenarios modeled by using MATLAB™ software. The performance of the demonstrated photonic-radar is assessed through the power spectral density and range-Doppler mapping measurements. Furthermore, a comparison of the developed photonic-radar is also established with conventional microwave-radar to present a comparative analysis

VIRTUAL SCREENING OF DERIVATIVES CONTAINING 2-AMINO-BENZOTHIAZOLE AS ANTICONVULSANT AGENTS

A new series of 6-subtituted 2-aminobenzothiazole derivatives were designed for their anticonvulsant activity. In order to predict their anticonvulsant activities the virtual screening was performed for all the designed compounds using binding affinities to beta-3 subunit of GABAA receptor. The data obtained from the virtual screening was analyzed by comparing the scores of designed compound with the score of the reference molecule. In the present study molegro virtual docker (MVD) version 6.0 were used as designing software while the riluzole (2-amino-6-trifluoromethoxybenzothiazole) were taken as reference molecule for the structural similarity with designed compound. Compound 14 showed the highest rerank score (-98.98), mol dock score (-118.98) and h-bond (-3.28) when compared to reference ligand rerank score (-57.74), mol dock score (-76.16) and h-bond (-2.08) for anticonvulsant activities of this series. The results obtained provide information about the most active compounds i.e. compound 14 which could be a useful information for future design and investigation to construct more active analogs

CoMFA and CoMSIA Studies on 6, 8-Dibromo–4(3H)-Quinazolinone Derivatives for Anti-Bacterial Activity Against Salmonella typhimurium

In order to explore the structure – activity relationship of quinazolinone moiety for anti-bacterial activity against Salmonella typhimurium, a series of 4(3H) – quinazolinone derivatives were subjected to Comparative molecular field analysis (CoMFA) and Comparative Molecular Similarity Indices Analysis (CoMSIA) methods. The best models for CoMFA and CoMSIA had correlation coefficient of 0.905 & 0.868 and cross-validated correlation coefficient of 0.501 & 0.592 respectively. The information obtained from the above models might be useful in designing of quinazolinone moiety as potent anti-bacterial agents

SYNTHESIS AND ANTIMICROBIAL ACTIVITY OF 1,4-DIHYDROPYRIDINE DERIVATIVE

A series of substituted 1,4-dihydopyridine derivatives (SC1-SC10) was synthesized via condensation of acetoacetanilide /4-chloro acetoacetanilide and substituted benzaldehyde in methanol with excess amount of ammonia. The synthesized compounds were characterized using FT-IR, NMR and Mass spectroscopic techniques.The anti-bacterial and anti-fungal activity of title compounds was evaluated utilizing paper disc diffusion method. The anti-bacterial activity was determined by using S. aureus and E.coli as the gram-positive and gram negative strains, while Candida albicans was used to evaluate the anti-fungal activity of synthesized compounds. 1,4-dihydropyridine derivative (SC8) with bromo group at para position of phenyl ring attached to dihydropyridine ring and chloro group linked to para position of carbamoyl phenyl ring was found to be the most active anti-bacterial agent, with its activity observed more on gram negative strain (81.76%) as compared to gram positive strain (75.94%). The most active anti-fungal agent was found to be SC1 (86.85%); 1,4-dihydropyridine derivative with hydroxy group at 2nd position and bromo group at 5th position of phenyl ring attached to dihydropyridine ring while chloro group linked to para position of carbamoyl phenyl ring. This suggests the requirement of electron withdrawing group at 3rd and 5th position of dihydropyridine ring for anti-bacterial and anti-fungal activity