An Analysis of DDoS Attack Detection and Mitigation Using Machine Learning System

Nowadays, many companies and/or governments require a secure system and/or an accurate intrusion detection system (IDS) to defend their system service and the user’s private information. In network security, developing an accurate discovery system for distributed denial of service (DDos) attacks is one of challenging tasks. DDos attacks jam the network service of the target using multiple bots hijacked by crackers and send frequent packets to the target server. Servers of many companies and/or governments have been victims of the attacks. In such a command by multiple bots from another network and then leave the bots quickly after command execute. The proposed strategy is to develop an intelligent detection system for DDos attacks by detecting patterns of DDos attacks using system packet analysis and exploiting machine learning techniques to study the patterns of DDos attacks. In this study, we analysed large numbers of network packets provided by the Center for applied internet data analysis and Applied the detection system using an Ad-hoc On-demand distance Vector (AODV) and Adaptive information dissemination (AID) protocols. The discovery system is accurate in detecting DDos

Solid-state Fermentation for the Production of Poly(hydroxyalkanoates)

Poly(hydroxyalkanoates) (PHAs) can be synthesized by adopting different microbial fermentation strategies, of which submerged fermentation has been exploited largely. In the past few years, solid-state fermentation (SSF) has been reassessed as an alternative to submerged fermentation, and could be a possible strategy for the cost-effective production of PHAs. The capital investment for SSF is usually lower than that of submerged fermentation and the cost of raw materials for SSF would be cheap, since it uses waste agricultural residues. These positive factors make SSF a potential technique for PHAs production. However, this method is still too immature for commercialization. The major drawback to address is the proper maintenance of the culture conditions under SSF. The present review discusses the current developments in solid-state fermentation for the production of PHAs and addresses the various issues for its commercialization

Radiation-induced root surface caries restored with glass-ionomer cement placed in conventional and ART cavity preparations: Results at two years

The document attached has been archived with permission from the Australian Dental Association (8th Jan 2008). An external link to the publisher’s copy is included.Background: There are no published studies comparing the clinical performances of more-viscous glass-ionomer cement (GIC) restorations when placed using conventional and atraumatic restorative treatment (ART) cavity preparation methods to restore root surface caries. Methods: One dentist used encapsulated Fuji IX GP and Ketac-Molar to restore 72 conventional and 74 ART cavity preparations for 15 patients who had received cervicofacial radiation therapy. Two assessors evaluated the restorations at six, 12, and 24 months for retention, marginal defects and surface wear, and recurrent caries. Results: After two years, the cumulative restoration successes were 65.2 per cent for the conventional and 66.2 per cent for the ART cavity preparations, without statistical or clinical significance (P>0.50). Restoration dislodgement accounted for 82.8 per cent and marginal defects for 17.2 per cent of all failures. There were no instances of unsatisfactory restoration wear or recurrent caries observed. Teeth with three or more restored cervical surfaces accounted for 79.3 per cent of all failures (P<0.0001). Conclusions: For root surface caries restored with GIC, the use of hand instruments only with the ART method was an equally effective alternative to conventional rotary instrumentation for cavity preparation. Larger restorations had higher failures, usually from dislodgement.JY Hu, XC Chen, YQ Li, RJ Smales and KH Yi

Aqueous Angiography with Fluorescein and Indocyanine Green in Bovine Eyes.

PurposeWe characterize aqueous angiography as a real-time aqueous humor outflow imaging (AHO) modality in cow eyes with two tracers of different molecular characteristics.MethodsCow enucleated eyes (n = 31) were obtained and perfused with balanced salt solution via a Lewicky AC maintainer through a 1-mm side-port. Fluorescein (2.5%) or indocyanine green (ICG; 0.4%) were introduced intracamerally at 10 mm Hg individually or sequentially. With an angiographer, infrared and fluorescent images were acquired. Concurrent anterior segment optical coherence tomography (OCT) was performed, and fixable fluorescent dextrans were introduced into the eye for histologic analysis of angiographically positive and negative areas.ResultsAqueous angiography in cow eyes with fluorescein and ICG yielded high-quality images with segmental patterns. Over time, ICG maintained a better intraluminal presence. Angiographically positive, but not negative, areas demonstrated intrascleral lumens with anterior segment OCT. Aqueous angiography with fluorescent dextrans led to their trapping in AHO pathways. Sequential aqueous angiography with ICG followed by fluorescein in cow eyes demonstrated similar patterns.ConclusionsAqueous angiography in model cow eyes demonstrated segmental angiographic outflow patterns with either fluorescein or ICG as a tracer.Translational relevanceFurther characterization of segmental AHO with aqueous angiography may allow for intelligent placement of trabecular bypass minimally invasive glaucoma surgeries for improved surgical results

Reaching the unreached: Highlights of Institution Village Linkage Programme of CMFRI

Reaching the unreached: Highlights of Institution Village Linkage Programme of CMFR

IMPROVING THE EFFICIENCY OF A PHOTOVOLTAIC SYSTEM BY INCORPORATING TRACKING SYSTEM AND MPPT: A REVIEW

The harvesting of solar energy is gaining increasing attention as it is pollution free and is available in abundance. Various researches and experiments are being carried out to improve the efficiency of power conversion by altering the material of the photovoltaic panels, by incorporating tracking systems and by making use of Maximum Power Point Tracking (MPPT) algorithms. The conventional rigidly fixed solar panels limit their area of exposure to the sun during the entire day. The use of tracker increases the area of panel exposed to direct beam of the sun, thus increasing the power generated. MPPT algorithm tracks the maximum power point attained at all loads and extracts the power from the panel at that voltage. Despite the variations in the external environment, the power obtained from the panel is always maximum. This paper reviews various tracking methods and MPPT techniques to increase the energy harvesting capacity of the panel and in turn improve its efficiency

Endocrine Autoimmunity in Association with Female Infertility

Infertility is the inability to conceive after a year of regular unprotected sexual intercourse, affecting 10-15% of couples. Advanced age, obesity, and certain medications can hinder fertility. Endocrine autoimmunity is increasingly recognized as a significant contributor to female infertility, often complicating various gynecological conditions. Autoimmune issues involving the hypothalamus, pituitary gland, thyroid, adrenal glands, and ovaries can impact fertility. A multidisciplinary approach is essential for diagnosing infertility, with a crucial focus on identifying potential endocrine disorders. Here we discuss how to identify endocrine autoimmune patients with ovulatory dysfunction. Women must be advised about limiting factors to be avoided, to protect their fertility. A comprehensive understanding of the underlying mechanisms, coupled with appropriate diagnostic and therapeutic approaches, is crucial for effectively managing this complex condition and helping women achieve their reproductive goals

Actigraphic Correlates of Neuropsychiatric Symptoms in Adults With Focal Epilepsy

Objectives: Disability in patients with epilepsy (PWEs) is multifactorial: beyond seizure frequency/severity, PWEs are prone to a range of neuropsychiatric, cognitive, and somatic comorbidities that significantly affect quality of life. Here, we explored how variations in seizure severity and the burden of self-reported somatic/neuropsychiatric symptoms correlate with disruptions to 24 h activity patterns (rest-activity rhythms [RARs]), determined through wrist accelerometry/actigraphy. Methods: Multiday wrist-actigraphy recordings were obtained from 59 adult patients with focal epilepsy (44% male, ages 18–72), who contemporaneously responded to validated psychometric instruments to measure anxiety, depression, sleepiness, and somatic symptoms. We conducted a similar in silico psychometric-actigraphic correlation in a publicly available data set of 1747 Hispanic subjects (35% male, ages 18–65) from the Study of Latinos (SOL) Sueño Ancillary Study. RARs were analyzed via a sigmoidally-transformed cosine model (quantifying amplitude, steepness, acrophase, and robustness) and nonparametric measures to estimate RAR stability, fragmentation, and sleep. Results: Compared with matched SOL subjects, RARs from PWE subjects featured a significantly lower amplitude, a wider rest phase, and significantly more total daily sleep. Within PWEs, similar RAR distortions were associated with seizure intractability and/or anticonvulsant polytherapy, whereas high anxiety, depression, and somatic symptom scores were associated with lower RAR robustness and acrophase delay. We applied the SOL data set to train logistic regression models to dichotomously classify subjective anxiety, depression, and sleepiness symptoms using demographic and RAR parameters. When tested on PWEs, these models predicted prevalent anxiety and depression symptom burden (accuracy ~70%) but failed to predict subjective sleepiness. Significance: Together these results demonstrate that RAR features may encode prevalent depression and anxiety symptoms in patients with focal epilepsy, potentially offering wearable-derived endpoints to adjunct clinical care and drug/device trials. With larger PWE-specific actigraphic-psychometric data sets, we may identify RAR signatures that may more precisely correlate with varying seizure frequency, the burden of anticonvulsant therapy, and prevalent mood/anxiety symptoms