SKU: 98667085600

LIFEBOX - Alarminstallatie voor thuis, draadloos, WLAN, internetbox en GSM Futura, wit, Smart Life – alarm, schaalbaar, zonder contract en verbonden – gewoon voor je huis – set 5

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Description

LIFEBOX - Alarminstallatie voor thuis, draadloos, WLAN, internetbox en GSM Futura, wit, Smart Life – alarm, schaalbaar, zonder contract en verbonden – gewoon voor je huis – set 5Met ons nieuwe GSM Evolution Alarm kun je je huis eenvoudig en zonder alarmabonnement beveiligen Amazon draadloos huisalarm: het alarm dat je nodig hebt, of het nu in een grote stad, in de periferie of goed gesoleerd is. Het alarmsysteem past in alle huizen, woningen en ook bedrijfsruimtes Intelligent en doordacht: je kunt je uitrusting, scenario's en zelfs accessoires beheren, die niet activeren. Deze draadloze alarmset werkt zowel in de wifi als in

  • Met ons nieuwe GSM Evolution Alarm kun je je huis eenvoudig en zonder alarmabonnement beveiligen
  • Amazon draadloos huisalarm: het alarm dat je nodig hebt, of het nu in een grote stad, in de periferie of goed geïsoleerd is. Het alarmsysteem past in alle huizen, woningen en ook bedrijfsruimtes
  • Intelligent en doordacht: je kunt je uitrusting, scenario's en zelfs accessoires beheren, die niet activeren. Deze draadloze alarmset werkt zowel in de wifi als in de GSM
  • Veilig en intelligent: deze aangesloten set bestaat uit 5 infrarood bewegingsmelders, 5 openingsmelders, voice transmitter, tri-band met vertraagde inschakelingen. Met WLAN, internetbox of GSM
  • Wij bieden je professionele kwaliteitsproducten om je te helpen het risico op ongevallen in het dagelijks leven te verminderen

LifeBOX, 1e Franse specialist voor veiligheid thuis, is een bedrijf dat in 2006 werd opgericht door François de Lacvivier, zijn huidige president. De belangrijkste en onmisbare criteria voor de veiligheid thuis. Lifebox heeft sinds zijn begin meer dan 3 miljoen klanten gediend en heeft een gemiddeld tevredenheidscijfer van meer dan 95% (meerjarig onderzoek van klanten die de gratis Hot Line bellen). Met ons nieuwe GSM-evolution-alarm kun je het veilig maken. je huis eenvoudig en zonder alarmabonnement hebben. Het is het juiste alarm, waar je ook bent, of het nu in een grote stad is, aan de rand of goed geïsoleerd. Het alarmsysteem past in alle huizen, woningen en ook professionele ruimtes. Het maakt het mogelijk om je apparatuur te bedienen, scenario's en zelfs accessoires te beheren die niet activeren. Deze draadloze alarmset werkt zowel met wifi als GSM. Wij bieden je professionele producten die je helpen om het risico op ongevallen in het dagelijks leven te verminderen.

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SKU: 98667085600

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4.5 ★★★★★
Based on 25 reviews
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Product Reviews
E
eyal Fishman
Lake Worth, US
★★★★★ 5
outstanding and highly informative book
Format: Paperback
MAoS - Malware Analysis on Steroids: Fighting Malware to the Death - Real-World Threats and Reverse Engineering Tactics by Uriel Kosayev is an outstanding and highly informative book. This is the second book I’ve read from him, after Antivirus Bypass Techniques, and once again I found the content to be extremely practical, well-structured, and insightful. Uriel has a way of explaining complex malware analysis and reverse engineering concepts in a way that is both approachable and deeply technical. The real-world tactics and examples make it not just a book you read once, but a reference you’ll return to often. Without a doubt, another excellent resource—I’m giving it 5 stars.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on September 10, 2025
A
Verified Purchase
Arthur Donkers
West Palm Beach, US
★★★★★ 4
good
Format: Paperback
Good practical content, quality of images could be improved
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on October 13, 2025
Z
Zachi
Phoenix, US
★★★★★ 5
Essential for Malware Hunters
Format: Hardcover
MAoS - Malware Analysis on Steroids is a clear, practical, and engaging guide to real-world malware threats. It blends hands-on reverse engineering tactics with modern case studies, making it both highly technical and easy to follow. Whether you’re new to malware analysis or a seasoned security pro, this book sharpens your skills and mindset for the fight against today’s threats.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on September 20, 2025
C
Verified Purchase
Cliente Amazon
Lake Worth, US
★★★★★ 5
All OK.
Format: Paperback
All OK.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 23, 2024
E
Eugene
Massapequa, US
★★★★★ 5
Great book on Android malware reverse engineering and detection!
Format: Paperback
This book offers a holistic approach for learning how to deal with malware targeting Android platform. I find this book to be equally interesting to read for both people with little experience in the domain of malware analysis as quick-start guide as well as for experienced reverse engineers who would want to translate their knowledge from malware analysis in other platforms to Android. This book is definitely worth the time reading it. The first half of the book is a great source of information on reverse engineering Android malware. Chapters on categories of Android Malware and examples of the malware in the wild set up the necessary context for the readers and help to better understand why Android malware focuses on certain infection/monetization techniques. It also bring context in the evolution of mitigation and hardening in Android platform. Chapters on static and dynamic analysis are very practical and engaging to read which I probably enjoyed the most in the book. They teach readers how to do reverse engineering of Android malware -- covers tooling, methodologies, hints to look for in the code or binary artifacts when doing reverse engineering. The second half of the book is dedicated to using machine learning techniques for detecting malware. It starts with a concise yet self-contained necessary theoretical background. In my point of view the authors hit a very good balance for making material accurate and comprehensive yet easy to read and follow along for people without extensive background in the field (which is not a trivial thing for math texts). As it is probably impossible to fit all the necessary theoretical material in a single (or even couple of chapters) they text offers references to sources which cover certain topics in-depth -- for those readers who would like to dive deeper in machine learning. Finally, the book wraps with application of the discussed machine learning techniques to certain malware families.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on October 14, 2024

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