Malware attacks could be adapted to follow human behavior on social networks

According to a new study by Ben-Gurion University of the Negev (BGU) researchers, a new generation of malware (software written for malicious purposes like identity theft) could steal data on human behavior patterns, which is more dangerous than traditional, detectable attacks.In the newly published paper, “Stealing Reality,” Dr. Yaniv Altschuler and Dr. Yuval Elovici from BGU discuss malware …[more]