Emerging Phishing Trends and Effectiveness of the Anti-Phishing Landing Page

Each month, more attacks are launched with the aim of making web users believe that they are communicating with a trusted entity which compels them to share their personal, financial information. Phishing costs Internet users billions of dollars every year. Researchers at Carnegie Mellon University (CMU) created an anti-phishing landing page supported by Anti-Phishing Working Group (APWG) with the aim to train users on how to prevent themselves from phishing attacks. It is used by financial institutions, phish site take down vendors, government organizations, and online merchants. When a potential victim clicks on a phishing link that has been taken down, he / she is redirected to the landing page. In this paper, we present the comparative analysis on two datasets that we obtained from APWG's landing page log files; one, from September 7, 2008 - November 11, 2009, and other from January 1, 2014 - April 30, 2014. We found that the landing page has been successful in training users against phishing. Forty six percent users clicked lesser number of phishing URLs from January 2014 to April 2014 which shows that training from the landing page helped users not to fall for phishing attacks. Our analysis shows that phishers have started to modify their techniques by creating more legitimate looking URLs and buying large number of domains to increase their activity. We observed that phishers are exploiting ICANN accredited registrars to launch their attacks even after strict surveillance. We saw that phishers are trying to exploit free subdomain registration services to carry out attacks. In this paper, we also compared the phishing e-mails used by phishers to lure victims in 2008 and 2014. We found that the phishing e-mails have changed considerably over time. Phishers have adopted new techniques like sending promotional e-mails and emotionally targeting users in clicking phishing URLs

Influence of Divalent Ions on Gelatin Hydrogel and its Physicochemcal Characterization

In this study gelatin hydrogels and their physicochemical properties are studied after chelation by EDTA. Gelatin is highly biocompatible, biodegradable, non immunogenic and can be modified at amino acid level. But due to its thermoreversible nature gelatin gels are not stable in nature and their mechanical strength is very low. Gelatin contains many divalent ions such as calcium, iron, and copper during denaturation process. Due to chelation activities of these divalent ions are diminished thereby making an EDTA metal ion complex. This process leads to more number of free carboxylic acid strengthening the interaction between cross linking agent and the gelatin gel network, hence increasing the stability and viscoelasticity of the gelatin hydrogels. Various characterization techniques were performed namely swelling studies, FTIR analysis, contact angle measurement, in vitro degradation, rheological studies and Hemocompatiblity tests. All the characterization techniques depicts that purified gelatin gel network when crosslinked with gluteraldehyde forms a more dense and stable network when compared with unpurified gelatin crosslinked with gluteraldehyde. More stable gelatin networks can be used in wide areas of soft and hard tissue engineering

Maintenance Intravenous Immunoglobulin Treatment for Multiple Sclerosis Coexisting with Ehlers-Danlos Syndrome and Muir-Torre Syndrome: A Case Study

The therapeutic options for disease modification in relapsing-remitting multiple sclerosis (RRMS) have expanded remarkably in the last 15 years. Although intravenous immunoglobulins (IVIg) have shown some therapeutic effects in multiple sclerosis, reducing global supplies, restriction of treatment to essential indications and availability of effective alternative treatments for MS currently exclude IVIg from being an accepted therapy for MS, other than for some exceptional considerations. We report the case of a female patient with RRMS who was diagnosed with Ehlers-Danlos syndrome (EDS) and Muir-Torre syndrome (MTS) soon after the diagnosis of active RRMS was made. The coexisting conditions precluded the use of available disease-modifying treatments. She benefited from monthly and then bi-monthly IVIg, with a single mild relapse over 10 years. Discontinuation of IVIg due to reduced availability with a brief aborted course of subcutaneous PEGylated interferon-beta was followed by significant relapses. Five months after the first ocrelizumab infusion, she developed caecal cancer requiring colectomy. Reinstitution of IVIg is contemplated

Quantum-Inspired Evolutionary Algorithms for Neural Network Weight Distribution: A Classification Model for Parkinson\u27s Disease

Parkinson’s Disease is a degenerative neurological disorder with unknown origins, making it impossible to be cured or even diagnosed. The following article presents a Three-Layered Perceptron Neural Network model that is trained using a variety of evolutionary as well as quantum-inspired evolutionary algorithms for the classification of Parkinson\u27s Disease. Optimization algorithms such as Particle Swarm Optimization, Artificial Bee Colony Algorithm and Bat Algorithm are studied along with their quantum-inspired counter-parts in order to identify the best suited algorithm for Neural Network Weight Distribution. The results show that the quantum-inspired evolutionary algorithms perform better under the given circumstances, with qABC offering the highest accuracy of about 92.3%. The presented model can be used not only for disease diagnosis but is also likely to find its applications in various other fields as well

Instagram of Rivers: Facilitating Distributed Collaboration in Hyperlocal Citizen Science

Citizen science project leaders collecting field data in a hyperlocal community often face common socio-technical challenges, which can potentially be addressed by sharing innovations across different groups through peer-to-peer collaboration. However, most citizen science groups practice in isolation, and end up re-inventing the wheel when it comes to addressing these common challenges. This study seeks to investigate distributed collaboration between different water monitoring citizen science groups. We discovered a unique social network application called Water Reporter that mediated distributed collaboration by creating more visibility and transparency between groups using the app. We interviewed 8 citizen science project leaders who were users of this app, and 6 other citizen science project leaders to understand how distributed collaboration mediated by this app differed from collaborative practices of Non Water Reporter users. We found that distributed collaboration was an important goal for both user groups, however, the tasks that support these collaboration activities differed for the two user groups

Structure-function analysis of the Bacillus megaterium GerUD spore germinant receptor protein.

Germination of Bacillus spores is triggered by the interaction of germinant molecules with specialized receptor proteins localized to the spore inner membrane. Germinant receptors (GRs) are comprised typically of three interacting protein subunits, each of which is essential for receptor function. At least some GRs appear to have a fourth component, referred to as a D-subunit protein. A number of D-subunit proteins were shown previously to be capable of modulating the activity of associated GRs. Here, we investigate the topology and structure-function relationships of the Bacillus megaterium QM B1551 GerUD protein, which is associated with the GerU GR. The presented data demonstrate that GerUD can be subjected to relatively extensive structural modifications while retaining function. Indeed, the presence of either of the two transmembrane spanning domains is sufficient to modulate an efficient GerU-mediated germinative response. The precise function of D-subunit proteins has yet to be established, although they may act as molecular chaperones within the spore inner-membrane environment.S.G was the recipient of a RA Fisher bursary award from Gonville and Caius College, University of Cambridge. X.Z is the recipient of an EPSRC Doctoral Training Grant.This is the final version of the article. It was first available from OUP via http://dx.doi.org/10.1093/femsle/fnv21