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Thursday, April 6, 2017

Cyber-Social-Physical Features for Mood Prediction over Online Social Networks

"Cyber-Social-Physical Features for Mood Prediction over Online Social Networks", article by Chaima Dhahri, Kazunori Matsumoto, Keiichiro Hoashi, DEIM Forum 2017, 6 pages. 

Abstract : Context-Aware Recommendation Systems (CARS) are more effective when adapting their recommendations to a specific user preference. Since modal context (mood) has a direct impact on user preferences, we aim at having an accurate mood prediction to improve recommendation performance. Online social networks (OSNs) have grown rapidly over the last decade. These social platforms provide the opportunity to gather the distributed online activities for each user. Tracking and aggregating these data could result in useful insights for user modeling and understanding. In this paper, we built a personalized system that can predict the upcoming user mood even in days without text-type tweets. We, first, studied the correlation of three types of features (cyber, social and physical) with a user mood. Then, used these features to train a predictive system. The results suggest a statistically significant correlation between user mood and his cyber, social and physical activities distributed among different OSNs which leads to a low RMSE in our predictive system.  

Attack Classification Schema for Smart City WSNs

"Attack Classification Schema for Smart City WSNs", article by Victor Garcia-Font, Carles Garrigues and Helena Rifà-Pous, Sensors 2017, 17, 771; doi:10.3390/s17040771, 

In this article, the authors propose a schema to classify the evidence left by attacks against smart city WSNs into seven different attack models. 

Friday, March 31, 2017

Donald Trump intends to extend by one year the Executive Order 13694

Interpol - "Cybercriminalité"

Interpol - "Cybercriminalité" - 2017 - Brochure de 12 pages. 
Dans ce document Interpol distingue deux catégories de criminalité liées aux TIC: la cybercriminalité et la criminalité facilitée par Internet. 
On peut y lire également que "jusqu’à présent, la cybercriminalité était principalement le fait d’individus ou de petits groupes. Aujourd’hui, INTERPOL constate l’apparition de réseaux de cybercriminalité d’une grande complexité qui réunissent, en temps réel, des individus de tous pays pour perpétrer des infractions d’une ampleur sans précédent."  Vraiment? Le cybercrime n'est-il pas organisé en gros réseaux d'assez longue date? Ne parlait-on pas du cybercrime organisé russe et chinois il y a dix ans déjà? Les hackers n'ont-ils pas une tradition de coopération internationale depuis bien des années?  

Sajda Qureshi "The forgotten awaken: ICT’s evolving role in the roots of mass discontent"

Sajda Qureshi, "The forgotten awaken: ICT’s evolving role in the roots of mass discontent", Information Technology for Development, 2017, Vol.23, n°1, pp.1-17. Full text...

About "key terrain" in cyberspace

Applegate, Scott Douglas, Christopher L. Carpenter, and David C. West. “Searching for Digital Hilltops: A Doctrinal Approach to Identifying Key Terrain in Cyberspace.” Joint Force Quarterly, no. 84 (1st Quarter 2017): 18-23. 

The proposed definition of "key terrain'" is : "Any locality, or area, the seizure or retention of which affords a marked advantage to either combatant". According to the author of this article, the "key terrain" is different from the notion of "critical asset", defined as "a spacific entity that is of such extraordinary importance that its incapacitation or destruction would have a very serious, debilitating effect on the ability of a nation to continue to function effectively". 

Thomas Rid, Hearing on Disinformation: A Primer in Russian Active Measures and Influence Campaigns"

Thomas Rid, Hearing on "Disinformation: A Primer in Russian Active Measures and Influence Campaigns", US Senate, March 30th, 2017.

Prepared Statement of GEN (Ret) Keith B. Alexander on Disinformation: A Primer in Russian Active Measures and Influence Campaigns

Opening speach.