2016 IEEE International Conference on Cybercrime and Computer Forensic (ICCCF)最新文献

Vulnerability to social engineering in social networks: a proposed user-centric framework 社会网络中社会工程的脆弱性:一个以用户为中心的框架

2016 IEEE International Conference on Cybercrime and Computer Forensic (ICCCF) Pub Date : 2016-11-17 DOI: 10.1109/ICCCF.2016.7740435

S. Albladi, G. Weir

{"title":"Vulnerability to social engineering in social networks: a proposed user-centric framework","authors":"S. Albladi, G. Weir","doi":"10.1109/ICCCF.2016.7740435","DOIUrl":"https://doi.org/10.1109/ICCCF.2016.7740435","url":null,"abstract":"Social networking sites have billions of users who communicate and share their personal information every day. Social engineering is considered one of the biggest threats to information security nowadays. Social engineering is an attacker technique to manipulate and deceive users in order to access or gain privileged information. Such attacks are continuously developed to deceive a high number of potential victims. The number of social engineering attacks has risen dramatically in the past few years, causing unpleasant damage both to organizations and individuals. Yet little research has discussed social engineering in the virtual environments of social networks. One approach to counter these exploits is through research that aims to understand why people fall victim to such attacks. Previous social engineering and deception research have not satisfactory identified the factors that influence the users' ability to detect attacks. Characteristics that influence users' vulnerability must be investigated to address this issue and help to build a profile for vulnerable users in order to focus on increasing the training programs and education for those users. In this context, the present study proposes a user-centric framework to understand the user's susceptibility, relevant factors and dimensions.","PeriodicalId":281072,"journal":{"name":"2016 IEEE International Conference on Cybercrime and Computer Forensic (ICCCF)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115332173","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: 14

Positing the problem: enhancing classification of extremist web content through textual analysis 定位问题:通过文本分析加强极端主义网络内容的分类

2016 IEEE International Conference on Cybercrime and Computer Forensic (ICCCF) Pub Date : 2016-11-17 DOI: 10.1109/ICCCF.2016.7740431

G. Weir, Emanuel Dos Santos, B. Cartwright, Richard Frank

{"title":"Positing the problem: enhancing classification of extremist web content through textual analysis","authors":"G. Weir, Emanuel Dos Santos, B. Cartwright, Richard Frank","doi":"10.1109/ICCCF.2016.7740431","DOIUrl":"https://doi.org/10.1109/ICCCF.2016.7740431","url":null,"abstract":"Webpages with terrorist and extremist content are key factors in the recruitment and radicalization of disaffected young adults who may then engage in terrorist activities at home or fight alongside terrorist groups abroad. This paper reports on advances in techniques for classifying data collected by the Terrorism and Extremism Network Extractor (TENE) webcrawler, a custom-written program that browses the World Wide Web, collecting vast amounts of data, retrieving the pages it visits, analyzing them, and recursively following the links out of those pages. The textual content is subjected to enhanced classification through software analysis, using the Posit textual analysis toolset, generating a detailed frequency analysis of the syntax, including multi-word units and associated part-of-speech components. Results are then deployed in a knowledge extraction process using knowledge extraction algorithms, e.g., from the WEKA system. Indications are that the use of the data enrichment through application of Posit analysis affords a greater degree of match between automatic and manual classification than previously attained. Furthermore, the incorporation and deployment of these technologies promises to provide public safety officials with techniques that can help to detect terrorist webpages, gauge the intensity of their content, discriminate between webpages that do or do not require a concerted response, and take appropriate action where warranted.","PeriodicalId":281072,"journal":{"name":"2016 IEEE International Conference on Cybercrime and Computer Forensic (ICCCF)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132989203","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: 14

Big data and digital forensics 大数据和数字取证

2016 IEEE International Conference on Cybercrime and Computer Forensic (ICCCF) Pub Date : 2016-06-12 DOI: 10.1109/ICCCF.2016.7740422

O. M. Adedayo

引用次数: 14

Game private networks performance: analytical models for very-large scale simulation 游戏专用网络性能:超大规模模拟的分析模型

2016 IEEE International Conference on Cybercrime and Computer Forensic (ICCCF) Pub Date : 2016-06-12 DOI: 10.1109/ICCCF.2016.7740433

Gaétan Hains, Y. Khmelevsky, R. Bartlett, A. Needham

{"title":"Game private networks performance: analytical models for very-large scale simulation","authors":"Gaétan Hains, Y. Khmelevsky, R. Bartlett, A. Needham","doi":"10.1109/ICCCF.2016.7740433","DOIUrl":"https://doi.org/10.1109/ICCCF.2016.7740433","url":null,"abstract":"The WTFast's Gamers Private Network (GPN®) is a client/server solution that makes online games faster. GPN® connects online video-game players with a common game service across a wide-area network. Online games are interactive competitions by individual players who compete in a virtual environment. Response time, latency and its predictability are keys to GPN® success and runs against the vast complexity of internet-wide systems. We have built an experimental network of virtualized GPN® components so as to carefully measure the statistics of latency for distributed Minecraft games and to do so in a controlled laboratory environment. This has led to a better understanding of the coupling between parameters such as: the number of players, the subset of players that are idle or active, the volume of packets exchanged, the size of packets, latency to and from the game servers, and time-series for most of those parameters. In this paper we present a mathematical model of those system game network parameters and show how it leads to: (1) realistic simulation of each of those network or game parameters, without relying on the experimental setup; (2) very large-scale numerical simulation of the game setup so as to explore various internet-wide performance scenarios that: (a) are impossible to isolate from internet “noise” in their real environment and; (b) would require vast supercomputing resources if they were to be simulated exhaustively. We motivate all elements of our mathematical model and estimate the savings in computational costs they will bring for very large-scale simulation of the GPN®. Such simulations will improve quality of service for GPN® systems and their reliability.","PeriodicalId":281072,"journal":{"name":"2016 IEEE International Conference on Cybercrime and Computer Forensic (ICCCF)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129495108","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: 6

Security countermeasures in the cyber-world 网络世界的安全对策

2016 IEEE International Conference on Cybercrime and Computer Forensic (ICCCF) Pub Date : 2016-06-12 DOI: 10.1109/ICCCF.2016.7740440

Andreea Bendovschi, Ameer Al-Nemrat

引用次数: 0

Cybercriminals, cyberattacks and cybercrime 网络罪犯、网络攻击和网络犯罪

2016 IEEE International Conference on Cybercrime and Computer Forensic (ICCCF) Pub Date : 2016-06-12 DOI: 10.1109/ICCCF.2016.7740434

Regner Sabillon, Victor Cavaller, Jeimy Cano, Jordi Serra-Ruiz

引用次数: 18

Linguistic analysis of lone offender manifestos 孤犯宣言的语言分析

2016 IEEE International Conference on Cybercrime and Computer Forensic (ICCCF) Pub Date : 2016-06-12 DOI: 10.1109/ICCCF.2016.7740427

Lisa Kaati, A. Shrestha, Katie Cohen

引用次数: 30

Data-driven system identification of the social network dynamics in online postings of an extremist group 数据驱动系统识别极端组织在线帖子中的社会网络动态

2016 IEEE International Conference on Cybercrime and Computer Forensic (ICCCF) Pub Date : 2016-06-12 DOI: 10.1109/ICCCF.2016.7740429

A. Diaz, Jongeun Choi, T. Holt, S. Chermak, Joshua D. Freilich

{"title":"Data-driven system identification of the social network dynamics in online postings of an extremist group","authors":"A. Diaz, Jongeun Choi, T. Holt, S. Chermak, Joshua D. Freilich","doi":"10.1109/ICCCF.2016.7740429","DOIUrl":"https://doi.org/10.1109/ICCCF.2016.7740429","url":null,"abstract":"Terrorism research has begun to focus on the issue of radicalization, or the acceptance of ideological belief systems that lead toward violence. There has been particular attention paid to the role of the Internet in the exposure to and promotion of radical ideas. There is, however, minimal work that attempts to model the ways that messages are spread or how individual participation in radical on-line communities operates. In this paper, we present a stochastic linear system to represent the evolution of contribution to a sample of 126 threads in an on-line forum where individuals discuss radical belief systems. To estimate or predict the time-varying contributions of agents for given online-forum data, each agent's contribution has been modeled as a state variable. We then use the expectation-maximization (EM) algorithm to identify the model parameters including the adjacency matrix of the graph constructed among participating agents along with measurement and system uncertainty levels in online-postings. Our approach reveals the identified dynamical influences among agents in the time-varying shaping of the contribution in a datadriven fashion. We use the real-world data from online-postings to demonstrate the usefulness of our approach, and its application toward on-line radicalization.","PeriodicalId":281072,"journal":{"name":"2016 IEEE International Conference on Cybercrime and Computer Forensic (ICCCF)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132412010","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

Electromagnetic analysis attack for a lightweight cipher PRINCE 轻量级密码PRINCE的电磁分析攻击

2016 IEEE International Conference on Cybercrime and Computer Forensic (ICCCF) Pub Date : 2016-06-12 DOI: 10.1109/ICCCF.2016.7740423

M. Yoshikawa, Y. Nozaki

引用次数: 6

Causes of socioeconomic cybercrime in Nigeria 尼日利亚社会经济网络犯罪的原因

2016 IEEE International Conference on Cybercrime and Computer Forensic (ICCCF) Pub Date : 2016-06-12 DOI: 10.1109/ICCCF.2016.7740439

S. Ibrahim

引用次数: 23