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Jinghua Groppe, Sven Groppe, Daniel Senf and Ralf Möller
Given a set of software programs, each being labeled either as vulnerable or benign, deep learning technology can be used to automatically build a software vulnerability detector. A challenge in this context is that there are countless equivalent ways to...
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Milad Bagheri, Zelina Zaiton Ibrahim, Shattri Mansor, Latifah Abd Manaf, Mohd Fadzil Akhir, Wan Izatul Asma Wan Talaat and Amin Beiranvand Pour
Climate change is regarded as a serious threat to both environment and humanity, and as a result, it has piqued worldwide attention in the twenty-first century. Natural hazards are expected to have major effects in the coastal cities of the globe. At the...
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Xin Li, Lu Wang, Yang Xin, Yixian Yang, Qifeng Tang and Yuling Chen
This study can be applied to software vulnerability detection.
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Tingyang Gu, Minyan Lu, Luyi Li and Qiuying Li
Current research on software vulnerability analysis mostly focus on source codes or executable programs. But these methods can only be applied after software is completely developed when source codes are available. This may lead to high costs and tremend...
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Fayozbek Rustamov, Juhwan Kim and JooBeom Yun
Fuzz testing is a simple automated software testing approach that discovers software vulnerabilities at a high level of performance by using randomly generated seeds. However, it is restrained by coverage and thus, there are chances of finding bugs entre...
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Andrei Brazhuk
Pág. 35 - 41
This work discusses integration of the DBpedia dataset with NVD (National Vulnerability Database) in order to bring some practical results to knowledge management in the field of software security.We have automatically mapped entities (software products ...
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Yasmany Prieto, Nicolás Boettcher, Silvia Elena Restrepo and Jorge E. Pezoa
Current data networks are highly homogeneous because of management, economic, and interoperability reasons. This technological homogeneity introduces shared risks, where correlated failures may entirely disrupt the network operation and impair multiple n...
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Pietro Russo, Alberto Caponi, Marco Leuti and Giuseppe Bianchi
Cyber risk management is a very important problem for every company connected to the internet. Usually, risk management is done considering only Risk Analysis without connecting it with Vulnerability Assessment, using external and expensive tools. In thi...
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Ioannis Tsantilis, Thomas K. Dasaklis, Christos Douligeris and Constantinos Patsakis
Cybersecurity is a never-ending battle against attackers, who try to identify and exploit misconfigurations and software vulnerabilities before being patched. In this ongoing conflict, it is important to analyse the properties of the vulnerability time s...
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Hongwei Wei, Guanjun Lin, Lin Li and Heming Jia
Exploitable vulnerabilities in software systems are major security concerns. To date, machine learning (ML) based solutions have been proposed to automate and accelerate the detection of vulnerabilities. Most ML techniques aim to isolate a unit of source...
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Syahrizal Koem
Pág. 355 - 364
Drought is one of the natural disasters that can cause disadvantages, especially in the agricultural sector. Gorontalo Regency is the corn production center, yet it has high vulnerability and low adaptive capacity towards the climate change. In addition,...
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Kaddour Bahram, Benattou Bouchouicha, Mohamed Benguediab, Abdelkader Slimane
Pág. 261 - 265
In this paper we tried to apply the failure assessment diagram method on an API X60 pipeline under two pressures 70 and 90 bar, this work will be divided into two parts; the first part will be devoted to modeling and simulation of a pipeline under pressu...
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Esteban Crespo-Martinez
Databases are usually the main targets of an attack, specifically for the information that they store, since, according to Druker, information is power. In this work vulnerability tests are performed of the database of an ERP software developed in APEX 5...
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Edwin Peralta-Garcia, Juan Quevedo-Monsalbe, Victor Tuesta-Monteza and Juan Arcila-Diaz
Structured Query Language (SQL) injections pose a constant threat to web services, highlighting the need for efficient detection to address this vulnerability. This study compares machine learning algorithms for detecting SQL injections in web microservi...
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Sergiu Zaharia, Traian Rebedea and Stefan Trausan-Matu
The research presented in the paper aims at increasing the capacity to identify security weaknesses in programming languages that are less supported by specialized security analysis tools, based on the knowledge gathered from securing the popular ones, f...
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Laura Elizabeth Cavazos González
Pág. 79 - 86
Faced with globalization and its impacts on the promotion of trade, local consumers gained access to international brands and entrepreneurs were able to offer their goods and services in other climes, translating into an economic benefit. Unfortunately, ...
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Zafeiria Theodosopoulou, Ioannis M. Kourtis, Vasilis Bellos, Konstantinos Apostolopoulos, Chryssy Potsiou and Vassilios A. Tsihrintzis
Post-disaster flood risk assessment is extremely difficult owing to the great uncertainties involved in all parts of the assessment exercise, e.g., the uncertainty of hydrologic?hydraulic models and depth?damage curves. In the present study, a robust and...
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Aakarsh Rao, Nadir A. Carreón, Roman Lysecky and Jerzy Rozenblit
Life-critical embedded systems, including medical devices, are becoming increasingly interconnected and interoperable, providing great efficiency to the healthcare ecosystem. These systems incorporate complex software that plays a significantly integrati...
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Efstratios Chatzoglou, Georgios Kambourakis and Vasileios Kouliaridis
Using automotive smartphone applications (apps) provided by car manufacturers may offer numerous advantages to the vehicle owner, including improved safety, fuel efficiency, anytime monitoring of vehicle data, and timely over-the-air delivery of software...
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Abdelhay El Omari, Mimoun Chourak, El Mehdi Echebba, Seif-Eddine Cherif, Carlos Navarro Ugena, Mohamed Rougui, Fadi Hage Chehade, Francisco Lamas Fernández and Aboubakr Chaaraoui
The last seismic events showed that tunnel lining may suffer extensive damage. Employing numerical modeling has a great importance in predicting the seismic performance of tunnels. This paper tests the tunnel lining of the Zaouit Ait Mellal (ZAM) twin tu...
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