International journal of network security & its applications最新文献_第7页

Keeping a secure hold on data through modern electronic content management 通过现代电子内容管理确保数据的安全

International journal of network security & its applications Pub Date : 2020-06-01 DOI: 10.1016/s1353-4858(20)30066-0

Paul Hampton

引用次数: 0

Trusting the CISO 信任首席信息安全官

International journal of network security & its applications Pub Date : 2020-06-01 DOI: 10.1016/s1353-4858(20)30070-2

K. MacMillan

引用次数: 0

Keeping critical assets safe when teleworking is the new norm 当远程办公时，保证关键资产的安全是新的规范

International journal of network security & its applications Pub Date : 2020-06-01 DOI: 10.1016/s1353-4858(20)30067-2

Gus Evangelakos

引用次数: 8

Keep security top of mind when moving into the cloud 在迁移到云端时，要把安全放在首位

International journal of network security & its applications Pub Date : 2020-06-01 DOI: 10.1016/s1353-4858(20)30069-6

Thomas Deighton, Mike Wakefield

引用次数: 1

PDMLP: Phishing Detection using Multilayer Perceptron PDMLP:基于多层感知器的网络钓鱼检测

International journal of network security & its applications Pub Date : 2020-05-31 DOI: 10.5121/ijnsa.2020.12304

Saad Al-Ahmadi, Tariq Lasloum

引用次数: 14

An Empirical Analysis of Email Forensics Tools 电子邮件取证工具的实证分析

International journal of network security & its applications Pub Date : 2020-05-27 DOI: 10.5121/ijnsa.2020.12303

A. Ghafarian, Ashraf Mady, Kyungwhan Park

{"title":"An Empirical Analysis of Email Forensics Tools","authors":"A. Ghafarian, Ashraf Mady, Kyungwhan Park","doi":"10.5121/ijnsa.2020.12303","DOIUrl":"https://doi.org/10.5121/ijnsa.2020.12303","url":null,"abstract":"Emails are the most common service on the Internet for communication and sending documents. Email is used not only from computers but also from many other electronic devices such as tablets; smartphones, etc. Emails can also be used for criminal activities. Email forensic refers to the study of email detail and content as evidence to identify the actual sender and recipient of a message, date/time of transmission, detailed record of email transaction, intent of the sender, etc. Email forensics involves investigation of metadata, keyword, searching, port scanning and generating report based on investigators need. Many tools are available for any investigation that involves email forensics. Investigators should be very careful of not violating user’s privacy. To this end, investigators should run keyword searches to reveal only the relevant emails. Therefore, knowledge of the features of the tool and the search features is necessary for the tool selection. In this research, we experimentally compare the performance of several email forensics tools. Our aim is to help the investigators with the tool selection task. We evaluate the tools in terms of their keyword search, report generation, and other features such as, email format, size of the file accepted, whether they work online or offline, format of the reports, etc. We use Enron email data set for our experiment.","PeriodicalId":93303,"journal":{"name":"International journal of network security & its applications","volume":"191 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85002736","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

A Survey on Malware Detection and Analysis Tools 恶意软件检测与分析工具综述

International journal of network security & its applications Pub Date : 2020-03-31 DOI: 10.5121/ijnsa.2020.12203

Sajedul Talukder, Zahidur Talukder

{"title":"A Survey on Malware Detection and Analysis Tools","authors":"Sajedul Talukder, Zahidur Talukder","doi":"10.5121/ijnsa.2020.12203","DOIUrl":"https://doi.org/10.5121/ijnsa.2020.12203","url":null,"abstract":"The huge amounts of data and information that need to be analyzed for possible malicious intent are one of the big and signiﬁcant challenges that the Web faces today. Malicious software, also referred to as malware developed by attackers, is polymorphic and metamorphic in nature which can modify the code as it spreads. In addition, the diversity and volume of their variants severely undermine the effectiveness of traditional defenses that typically use signature-based techniques and are unable to detect malicious executables previously unknown. Malware family variants share typical patterns of behavior that indicate their origin and purpose. The behavioral trends observed either statically or dynamically can be manipulated by using machine learning techniques to identify and classify unknown malware into their established families. This survey paper gives an overview of the malware detection and analysis techniques and tools. preventive measures to cope with the threats coming in the future. Features derived from analysis of malware can be used to group unknown malware and classify them into their existing families. This paper presents a review of techniques/approaches and tools for detecting and analyzing the malware executables. There has been some study performed on comparison of static, dynamic, and hybrid analysis for malware detection [8], whereas some researchers tried to bridge the static/dynamic gap [9]. Mobile technology in healthcare has also been a target of malware [10]. Few recent studies have been done on static and dynamic analysis of Android malware [11], detection using permission [12–14], based on system call sequences and LSTM [15]. studies wavelet and of disassemblers for opcode The studies that use dynamic analysis perform synthesis the semantics of obfuscated code multi-hypothesis testing analyzing quantitative data ﬂow graph metrics using simpliﬁed call access APIs","PeriodicalId":93303,"journal":{"name":"International journal of network security & its applications","volume":"83 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80205487","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 34

An Enhanced User Authentication Framework in Cloud Computing 云计算中增强的用户认证框架

International journal of network security & its applications Pub Date : 2020-03-31 DOI: 10.5121/ijnsa.2020.12204

Hasan Al Refai, K. Batiha, Ahmad M Al-Refai

引用次数: 1

Security Consideration in Peer-to-peer Networks with A Case Study Application 点对点网络中的安全考虑与案例研究应用

International journal of network security & its applications Pub Date : 2020-03-31 DOI: 10.5121/ijnsa.2020.12201

Nick Rahimi

引用次数: 2

Keyloggers: silent cyber security weapons 键盘记录器:无声的网络安全武器

International journal of network security & its applications Pub Date : 2020-02-01 DOI: 10.1016/s1353-4858(20)30021-0

Akashdeep Bhardwaj, Sam Goundar

引用次数: 15